5,753 AI Algorithms jobs in the United States
Senior/Staff AI Algorithms Engineer
Posted 6 days ago
Job Viewed
Job Description
At Dexterity, we believe robots can positively transform the world. Our breakthrough technology frees people to do the creative, inspiring, problem-solving jobs that humans do best by enabling robots to handle repetitive and physically difficult work.
We're starting with warehouse automation, where the need for smarter, more resilient supply chains impacts millions of lives and businesses worldwide. Dexterity's full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities. Our systems are software-driven and hardware-agnostic and have already picked 100+ million goods in production. And did we mention we're customer-obsessed? Every decision, large and small, is driven by one question - how can we empower our customers with robots to do more than they thought was possible?
Dexterity is one of the fastest-growing companies in robotics, backed by world-class investors such as Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures. We're a diverse and multidisciplinary team with a culture built on passion, trust, and dedication. Come join Dexterity and help make intelligent robots a reality!
About the Role
We're looking for an Senior/Staff AI Algorithms Engineer with deep foundations in machine learning, reinforcement learning, and optimization-and a strong drive to apply those skills to novel, high-impact problems in robotics. You will leverage techniques from machine learning, reinforcement learning, search, and optimization to solve hard sequential decision problems that require reasoning about the physical world and its dynamics. You will also stay abreast of the latest progress in reinforcement learning, task and motion planning, and other related fields in order to further enhance Dexterity's technology foundations in Physical AI
You'll be part of a team working across simulation, real robots, and multimodal sensor streams, applying first-principles thinking to unlock product capabilities where off-the-shelf ML solutions fall short. If you have strong research instincts but are excited to build things that are used in the real world, this role offers the chance to turn deep technical ideas into systems deployed at scale.
What You'll Do
- Design and prototype novel algorithms at the intersection of learning, prediction, and planning, with a focus on solving real product challenges
- Apply reinforcement learning, geometric reasoning, or optimization-based methods to tackle long-horizon manipulation, sensor fusion, or decision-making under uncertainty
- Translate open-ended problems into clear technical approaches, balancing modeling intuition with real-world constraints like latency, reliability, and partial observability
- Build and test your algorithms across simulation and real-robot environmentsCollaborate closely with product leads, software engineers, and roboticist to bring ideas into fruition
- Contribute to internal knowledge, tooling, and experimentation pipelines that level up the entire team
- PhD or equivalent experience in machine learning, robotics, optimization, applied math, or a related field
- Strong mathematical foundation in areas such as probability, statistics, optimization, reinforcement learning, imitation learning, and foundation models
- Ability to turn theoretical insights into practical, testable code using Python and PyTorch (or similar frameworks)
- Curiosity, initiative, and a bias toward building and debugging in real systems
- Clear communication skills and an ability to collaborate across engineering and research boundaries
- Experience with physics simulators, control stacks, or physical sensing modalities (RGBD, force-torque, etc.)
- Prior work on real-world ML deployments (e.g., autonomous vehicles, logistics, hardware-integrated ML)
- Contributions to open-source ML, RL, or robotics libraries
- Previous startup experience
- You'll work on hard, novel problems that demand first-principles thinking-not just tuning models
- Your work will run on physical systems with real constraints, feedback, and real world impact
- You'll be expected to and supported in owning high-impact projects from early on
- You'll have a chance to help shape how learning, prediction, and planning come together in next-generation robotics
$170,000 - $25,000 a year
Our Total Rewards philosophy is designed to recognize contributions toward meaningful innovation. Base pay is one component of a broader compensation package that may include equity grants, benefits, and other incentives, depending on role and eligibility.
For this position, the expected base salary range is 170,000 to 225,000 annually. Actual compensation will be determined based on skills, experience, education, and market factors, and may vary accordingly.
Final compensation decisions are made individually and take a number of factors into consideration. Eligible employees may be considered for equity awards as part of their overall compensation. Access to benefits and wellness resources is provided in accordance with company policies and may vary based on role and location.
Equal Opportunity Employer
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Technical Program Manager III, AI Algorithms, Pixel Watch
Posted 3 days ago
Job Viewed
Job Description
+ Bachelor's degree in a technical field, or equivalent practical experience.
+ 5 years of experience in program management.
+ Experience working with AI/ML algorithms or features.
+ Experience managing the software development life-cycle.
**Preferred qualifications:**
+ 5 years of experience managing cross-functional or cross-team projects.
+ Experience with program management in a consumer software industry, with device hardware/software releases.
A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you'll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You'll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
The Pixel Watch Software team is responsible for the core software running on Pixel watches. The team comprises the major software subsystems such as core bring-up, performance, power, graphics, display, sensors, etc. In this role, you will be directly involved with shaping premium wearable health algorithms on Google Pixel Watch. As the Technical Program Manager, you will be focused on managing health algorithms.
The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google's artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.
The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
**Responsibilities:**
+ Manage the software development life cycle of health algorithms such as sleep tracking, activity recognition, heart rate, algorithm frameworks.
+ Drive the planning and implementation of program and features with cross-functional teams to meet roadmap goals, track progress, analyze risks, resolve execution issues, and communicate status.
+ Develop and manage program schedules, technical challenges, and resource needs with engineering and cross-functional teams.
+ Promote clear communication, manage communication of progress/status with stakeholders and leadership in various locations and time zones, and own relationships between cross-functional teams.
+ Manage risks and put together/evaluate the multiple possible paths to success.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
Deep Learning Researcher
Posted today
Job Viewed
Job Description
- Your primary responsibility will be to explore and develop new deep learning models to solve inverse problems in imaging.
- You'll also evaluate customer feedback and image data to gauge performance and refine your models based on real-world usage.
- PhD in related field, or equivalent industry experience
- Prior key contributor to significant deep learning projects for image enhancement or image processing
- Significant prior experience with CNNs and other common computer vision network architectures
- 2 years of hands-on experience with TensorFlow or PyTorch
- Good understanding of common image processing algorithms
- Working knowledge of C/C++
- Well-read on major recent research papers in deep learning for image or video enhancement
Deep Learning Engineer
Posted 6 days ago
Job Viewed
Job Description
Headquartered in Silicon Valley, we are a newly established start-up, where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of Generative AI. Our team comprises leading minds and innovators in AI and Biological Science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.
We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our exceptionally strong R&D team and leadership in LLM and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.
Key Responsibilities:
- Design, develop, optimize, and maintain software systems for the entire foundation model development and deployment lifecycle (i.e., data pipeline, pre-training, fine-tuning, serving).
- Build and maintain scalable, efficient, and reusable codebases for large-scale foundation model training, adaptation, evaluation, and inference.
- Collaborate closely with data engineers and research scientists to integrate models into production environments.
- Implement and ensure best practices in software engineering, including code quality, testing, and documentation.
- Build and optimize robust back-end systems, APIs, and databases to support complex workflows.
- Ensure code quality, scalability, and performance through rigorous testing and code reviews.
- Bachelor's, Master's degree in Computer Science, Engineering, or related field. Experience in life sciences or healthcare is a plus.
- Strong programming skills in JavaScript, Python, and modern web development frameworks, and familiarity with GPU-accelerated tools (e.g., CUDA, cuDNN, Triton).
- Proficiency with major deep learning frameworks such as PyTorch, HuggingFace Transformers & Accelerate, or Megatron-LM/DeepSpeed.
- Familiarity with resource management and scheduling systems (e.g., SLURM, Kubernetes).
- Have direct ML Ops platform experience, such as kubeflow pipelines, argo workflows, apache airflow, or metaflow.
- Proficiency in back-end frameworks like Django, Flask, or Node. js, and database technologies (e.g., PostgreSQL, MongoDB).
- Expertise in distributed systems, cloud computing (AWS, GCP), and containerization tools (Docker, Kubernetes).
- Ph.D. degree in Computer Science, Engineering, or related field. Experience in life sciences or healthcare is a plus.
- Prior experience pre-training or serving large language models or large-scale foundation models.
- Experience with deep learning workflows.
- Knowledge of biological data types and challenges and experience with bioinformatics tools.
- Familiarity with version control systems like Git and CI/CD pipelines.
- Strong understanding of RESTful APIs, authentication, and deployment pipelines
- Familiarity with machine learning workflows and biological datasets.
Join us as we embark on this journey to redefine the future of biology and medicine.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Deep Learning Engineer
Posted 6 days ago
Job Viewed
Job Description
The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning, and lasers to eliminate weeds with sub-millimeter accuracy-all without herbicides. This innovative solution reduces environmental impact, promotes soil health, and helps farmers address labor shortages and rising costs. Designed in Seattle and built at our cutting-edge manufacturing facility in Richland, Washington, the LaserWeeder is setting a new standard for automated weed control. With $157 million in funding from prominent investors such as BOND, NVentures (NVIDIA's venture arm), Anthos Capital, Fuse Venture Capital, Ignition Partners, Revolution, Sozo Ventures, and Voyager Capital , Carbon Robotics is driving innovation.
As a no-nonsense team with a bias for action, we take pride in executing our ideas. Whether it's designing transformative technology or visiting farms to ensure our products are reliable and safe, we do whatever it takes to deliver for our customers.
Working here means tackling big problems with big impact. You'll find opportunities to grow professionally, solve complex challenges, and make meaningful contributions to a mission that matters. At Carbon Robotics, we trust our team to act independently and make practical, real-world decisions.
Join us as we innovate, execute, and build the future of farming together.
YouTube | X | Instagram | LinkedIn | News
As a Deep Learning Engineer at Carbon Robotics you will design experiments to test new models and algorithms, optimize them for daily deployments to operational resources in the field, document and produce reports on your findings, and integrate them with our robotics software stack.
- Build quickly through ownership and collaboration with Engineering and Product Management
- Professional experience designing and implementing novel deep learning architectures to deliver real world computer vision solutions
- Understanding of foundational mathematical principle of deep learning architecture
- Hands-on experience across the end-to-end Machine Learning workflow - including data preparation, pipeline development, experimentation, evaluation, and deployment
- Experience with developing deep learning models at scale from inception to business impact
- Familiarity with modern object detection techniques (vision transformers, embeddings, anchor-free)
- Comfortable navigating ambiguity and evolving technical landscapes
- Effective verbal and written communication skills to explain model details and behavior to non-technical staff and customers
- Experience in deep learning model optimization and deployment
- BS+ in Data Science, Computer Science, or related field
Compensation Range spans multiple levels. Salary offered is determined by experience, level and relevant skills.
Carbon Robotics follows equitable hiring practices. Flexibility in our hiring process allows hiring of talent at levels different from what are posted. The compensation range outlined is based on a target budgeted base salary. Individual base pay depends on various factors such as relevant experience and skill, Interview assessments and responsibility of role, job duties/requirements. Offers are determined using our equitable hiring practices. Carbon Robotics offers additional compensation in the form of benefits premiums, pre-IPO stock options and On Target Earning commissions for appropriate positions. Base pay ranges are reviewed each year. We are committed to the principle of pay equity - paying employees equitably for similar work.
Offers are dependent on someone experience and may be outside of the published range when appropriate. If your skills are above the posted range. Apply! We want to hear from you!
Carbon Robotics' base salary pay range:
$30,000- 290,000 USD
Why would you join Carbon Robotics?
Passion for building teams capable of solving uniquely interesting problems . Innovation while disrupting the market is what we do. Profiled in WSJ and Forbes, Carbon Robotics is poised to become the next billion dollar company in the rapidly growing worldwide Ag-Tech industry.
We offer competitive compensation and benefits to our full time US based* employees, including:
- Competitive salaries
- Pre-IPO Stock Options
- Generous Benefits:
- Fully-paid medical, dental, and vision insurance premiums for you and all dependents
- Choice of PPO or HDHP/HSA
- Virtual Care - Doctor on Demand
- Employee Assistance Program
- Mental Health HRA
- Restricted Healthcare Travel support
- Menopause Support
- Life Insurance
- Long Term Disability
- Flexible PTO
- 401(k) plan
- Pet Insurance
- Commuter Benefits
- Fully-paid medical, dental, and vision insurance premiums for you and all dependents
- Work Culture: Be a part of an inclusive and tight-knit company culture that values innovation and mission-driven success.
* Internationally based employees benefits varies & Contractors are not eligible for Carbon Robotics Benefits or Stock
Carbon Robotics is building a culture of diversity and inclusion for all. We welcome everyone's voice and believe in open and transparent communication. We believe the best products, services, and companies are built by strong teams that include a diversity of backgrounds, perspectives, ideas, and experiences. We are committed to supporting and enabling growth and opportunity for every employee at every level. This is the foundation to which we will build a truly unique environment.
We are equally committed to equal employment opportunity, and it is foundational to how we recruit and hire our talented team. Employment is determined based upon capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including potential pregnancy, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability , HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law.
#talentacquisition #laserweeding #laserweeder #weedcontrol #agtech #agtechnology #farmtech #robotics #lasers #lasersandrobots #missiondriven #AI #startup #wearehiring #computervision #machinelearning #carbonrobotics
Deep Learning Researcher
Posted 6 days ago
Job Viewed
Job Description
We're Topaz Labs, an AI tech company that builds software to solve imaging problems like denoising, super-resolution, and deconvolution with deep learning. Over 1M photographers and designers trust us with their work, including on teams at Google, Nvidia, NASA, and more. We've processed over 1 billion images, achieved 1000% revenue growth in the last 4 years, and we're only getting started.
We're looking for a Deep Learning Researcher to help us push the state-of-the-art in image and video enhancement. Your primary responsibility will be to explore and develop new deep learning models to solve inverse problems in imaging. You'll also evaluate customer feedback and image data to gauge performance and refine your models based on real-world usage.
About us
- Rocketship growth and opportunity for impact ($3M - $30M revenue in four years)
- Over 1 million customers (including companies like Apple, NASA, Netflix) have used us for over 1 billion photos. Our tech has been covered by Fast Company, The Verge, Engadget, Mashable, BBC, and more
- World-class team that executes quickly, obsesses about the customer experience, and promotes from within
- Profitable company with infinite runway
- PhD in related field, or equivalent industry experience
- Prior key contributor to significant deep learning projects for image enhancement or image processing
- Significant prior experience with CNNs and other common computer vision network architectures
- 2 years of hands-on experience with TensorFlow or PyTorch
- Good understanding of common image processing algorithms
- Working knowledge of C/C++
- Well-read on major recent research papers in deep learning for image or video enhancement
Aside from technical understanding and research skills, we're looking for someone with a strong work ethic, intellectual humility, and a shipping mentality. We're a small company with a high-visibility and high-performance culture, so you will work with a high degree of impact and autonomy. You'll also collaborate closely with other world-class researchers to exchange ideas and solve problems together.
Our technology advantage has already driven strong success for our company, and your contributions will directly help determine our future growth. We offer strong base salary plus significant ownership that scales with the company's growth. We also offer 100% covered medical/dental/vision for employees, 15 days annual PTO plus holidays, and 401k matching. This is a full-time on-site role in Dallas, TX, and we will ask you to relocate if you're not in the area.
Deep Learning Engineer
Posted 6 days ago
Job Viewed
Job Description
About Matroid
Matroid is a full-service computer vision company that has developed an end-to-end platform allowing enterprise customers to rapidly train and
deploy automated visual inspection on imagery including EO, IR, X-Ray, CT, OCT, and others.
Founded in 2016 by a Stanford professor, Matroid has a broad and rapidly growing set of customers in manufacturing, industrial IoT, government and security.
We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the forefront of computer vision and deep learning applied to challenging, real-world use-cases. You will be working in a fast-paced environment, surrounded by experts who are passionate about their work.
This position is onsite at our downtown Palo Alto office, located near the Stanford campus and Caltrain.
What you'll do
- Advance the computer vision and deep learning technology powering Matroid's computer vision platform
- Keep on top of the latest developments and research in academic CV/DL and decide how we should apply them to our real world use-cases
- Engineer new DL capabilities end-to-end; research, experiment, iterate, develop, optimize and productionize
How you'll be doing it
- Operating in a collaborative but highly autonomous environment where you are empowered to make an impact
- Knowing that everything you build affects real-world users, with corresponding quality standards for your work
- Collaborating with other DL engineers, as well as our other expert teams, including product, infrastructure, and field engineering
What you bring to the table
- Masters in Computer Science, Software Engineering, Mathematics, or equivalent
- Passion for computer vision and deep learning; you are excited to adapt the latest VLMs, or implement a video transformer model from scratch, or get realtime segmentation running on a tiny edge device, or train a massive industry-specific foundation model
- 3+ years of industry and/or academic experience relating to software, deep learning and computer vision
- Experience using and modifying state-of-the-art CV models and frameworks, with understanding of their theoretical underpinnings
- Knowledge of model architectures and techniques across a broad range of domains, including object detection, segmentation, anomaly detection, object tracking, video-understanding and vision language models
- Strong software engineering skills - you care deeply about the quality of your code
- Solid oral, written, presentation, collaboration, and interpersonal communication skills
Bonus points if.
- Specialization in CV, artificial intelligence, machine learning, or related fields
- Significant computer vision & deep learning academic and/or research experience
- Prior work experience with applied computer vision in real-world use-cases
- Cool personal projects, competitions, hackathons, etc. demonstrating your passion & expertise
- Previous work at high-growth technology startups
What we offer in return
- Competitive pay and equity.
- The chance to constantly work on stimulating intellectual challenges.
- Gym membership reimbursement.
- Free lunch, healthy drinks, and snacks every day.
- Medical, dental, and vision insurance with 100% paid premiums.
- A flexible schedule that leaves time for all of your other interests.
- A budget for whatever hardware or software will make you most effective.
- Regular tech talks to discuss the latest advances in CV, DL and engineering
Matroid is committed to creating a diverse work environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.
Be The First To Know
About the latest Ai algorithms Jobs in United States !
Performance Engineer - Deep Learning
Posted today
Job Viewed
Job Description
NVIDIA is hiring software engineers at all experience levels to build and optimize the tools Deep Learning engineers use across the world to design, develop, and deploy AI applications. This position will embed you in an ambitious and diverse team that influences all areas of NVIDIA's AI platform and directly contributes to premiere Deep Learning frameworks - Tensorflow, PyTorch, and MXNet. In this role you will work with multiple teams at NVIDIA across fields, as well as collaborate with the open-source community to optimize the best AI platform in the world.
What you will be doing:
Optimize the performance of Deep Learning models for NVIDIA GPUs and systems.
Study and tune Deep Learning training workloads at large scale.
Optimize production AI models used by enterprise customers and partners.
Build and support NVIDIA submissions to community benchmarks like MLPerf.
Optimize the performance of influential, contemporary models coming out of academic and industry research, for NVIDIA GPUs and systems.
Deliver the benefits of NVIDIA’s latest hardware and platform software innovations to the Deep Learning community.
Inform design of new hardware generations, and core platform software components for NVIDIA GPUs and systems.
What we need to see:
BS or equivalent experience in Computer Science, Electrical Engineering or a related field.
2+ years of experience with C++ and Python programming.
Strong background with parallel programming, preferably on GPUs.
Knowledge of Computer Architecture and/or Operating Systems.
Proven experience developing large software projects.
Excellent verbal and written communication skills.
Ways to stand out from the crowd:
Experience in PyTorch, Tensorflow or MXNet.
Background with performance analysis and profiling of workloads.
Participation in the open source community.
Proven experience working with multidisciplinary teams.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and dedicated people in the world working with us and our engineering teams are contributing to some of the hottest state of the art fields: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative and motivated software engineer with a real passion for building fast software solutions, as well as impacting AI development worldwide, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 120,000 USD - 189,750 USD for Level 2, and 148,000 USD - 235,750 USD for Level 3.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until July 29, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #deeplearningPerformance Engineer - Deep Learning
Posted today
Job Viewed
Job Description
NVIDIA is hiring software engineers at all experience levels to build and optimize the tools Deep Learning engineers use across the world to design, develop, and deploy AI applications. This position will embed you in an ambitious and diverse team that influences all areas of NVIDIA's AI platform and directly contributes to premiere Deep Learning frameworks - Tensorflow, PyTorch, and MXNet. In this role you will work with multiple teams at NVIDIA across fields, as well as collaborate with the open-source community to optimize the best AI platform in the world.
What you will be doing:
Optimize the performance of Deep Learning models for NVIDIA GPUs and systems.
Study and tune Deep Learning training workloads at large scale.
Optimize production AI models used by enterprise customers and partners.
Build and support NVIDIA submissions to community benchmarks like MLPerf.
Optimize the performance of influential, contemporary models coming out of academic and industry research, for NVIDIA GPUs and systems.
Deliver the benefits of NVIDIA’s latest hardware and platform software innovations to the Deep Learning community.
Inform design of new hardware generations, and core platform software components for NVIDIA GPUs and systems.
What we need to see:
BS or equivalent experience in Computer Science, Electrical Engineering or a related field.
2+ years of experience with C++ and Python programming.
Strong background with parallel programming, preferably on GPUs.
Knowledge of Computer Architecture and/or Operating Systems.
Proven experience developing large software projects.
Excellent verbal and written communication skills.
Ways to stand out from the crowd:
Experience in PyTorch, Tensorflow or MXNet.
Background with performance analysis and profiling of workloads.
Participation in the open source community.
Proven experience working with multidisciplinary teams.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and dedicated people in the world working with us and our engineering teams are contributing to some of the hottest state of the art fields: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative and motivated software engineer with a real passion for building fast software solutions, as well as impacting AI development worldwide, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 120,000 USD - 189,750 USD for Level 2, and 148,000 USD - 235,750 USD for Level 3.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until July 29, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #deeplearningPerformance Engineer - Deep Learning
Posted 1 day ago
Job Viewed
Job Description
NVIDIA is hiring software engineers at all experience levels to build and optimize the tools Deep Learning engineers use across the world to design, develop, and deploy AI applications. This position will embed you in an ambitious and diverse team that influences all areas of NVIDIA's AI platform and directly contributes to premiere Deep Learning frameworks - Tensorflow, PyTorch, and MXNet. In this role you will work with multiple teams at NVIDIA across fields, as well as collaborate with the open-source community to optimize the best AI platform in the world.
What you will be doing:
Optimize the performance of Deep Learning models for NVIDIA GPUs and systems.
Study and tune Deep Learning training workloads at large scale.
Optimize production AI models used by enterprise customers and partners.
Build and support NVIDIA submissions to community benchmarks like MLPerf.
Optimize the performance of influential, contemporary models coming out of academic and industry research, for NVIDIA GPUs and systems.
Deliver the benefits of NVIDIA's latest hardware and platform software innovations to the Deep Learning community.
Inform design of new hardware generations, and core platform software components for NVIDIA GPUs and systems.
What we need to see:
BS or equivalent experience in Computer Science, Electrical Engineering or a related field.
2+ years of experience with C++ and Python programming.
Strong background with parallel programming, preferably on GPUs.
Knowledge of Computer Architecture and/or Operating Systems.
Proven experience developing large software projects.
Excellent verbal and written communication skills.
Ways to stand out from the crowd:
Experience in PyTorch, Tensorflow or MXNet.
Background with performance analysis and profiling of workloads.
Participation in the open source community.
Proven experience working with multidisciplinary teams.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and dedicated people in the world working with us and our engineering teams are contributing to some of the hottest state of the art fields: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative and motivated software engineer with a real passion for building fast software solutions, as well as impacting AI development worldwide, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 120,000 USD - 189,750 USD for Level 2, and 148,000 USD - 235,750 USD for Level 3.You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until July 29, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.