6,077 AI Algorithms jobs in the United States

Join to apply for the Deep Learning Researcher role at Topaz Labs 1 year ago Be among the first 25 applicants Join to apply for the Deep Learning Researcher role at Topaz Labs 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 About You 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. Seniority level Seniority level Not Applicable Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Topaz Labs by 2x Sign in to set job alerts for “Deep Learning Researcher” roles. We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Team up with the most innovative company where Imagination becomes reality! E Ink is the originator, pioneer, and commercial leader in ePaper technology. The Fremont Research & Development team is thriving and growing as we help develop products that are changing how people access information every day. We are seeking qualified candidates who are self-driven, looking to advance their career and become a high-impact player on a team.

Our diversity of people, backgrounds, experiences, thoughts, and perspectives are fostered to create an inclusive work environment.

We offer a competitive/generous benefits package that fits the needs of our employees. It includes health, dental, vision, wellness programs, employee discounts, 401k matches, ongoing development, advancement opportunities and more. This position is also eligible for our bonus program. (see E InkOur Company)

And we're looking for a Deep Learning Engineer!

About the position:

E Ink is seeking a passionate and skilled Deep Learning Engineer to join our innovative deep learning team. In this role, you will develop and optimize modeling techniques and display driving methods for electrophoretic display systems. You will leverage your expertise in deep learning to create advanced tools and systems, enhance display performance, and contribute to the development of new products. Collaborating with cross-functional teams across global sites, you will play a pivotal role in driving innovation and achieving organizational goals. E Ink maintains a lean team where each member has strong visibility and responsibility to meet company goals. We welcome applicants that have demonstrated excellence and are motivated, flexible, and curious learners.

Responsibilities:

• Design, develop, and implement tools and systems to integrate deep learning models for electrophoretic display applications.
• Conduct in-depth analyses of model performance, architecture, and display system behavior to inform product development.
• Develop and refine novel optimization algorithms to enhance model performance and execution speed.
• Create software solutions to improve display performance using deep learning models.
• Collaborate with cross-functional teams globally to meet aggressive project timelines and deliverables.
• Conduct mathematical analyses, data mining, and system modeling to solve complex engineering challenges.
• Evaluate and optimize recurrent neural networks (LSTM, GRU, etc.) for specific applications.
• Support product development through signal processing, systems theory, and statistical modeling.
• Utilize electronic devices and laboratory equipment for performance validation and testing when needed.

• PhD, M.S., or B.S. degree in Electrical / Computer Engineering, Physics, Applied Math, or related signals & systems field plus at least three years of industrial experience
• Proficiency in deep learning optimization cycles, especially recurrent neural networks (e.g., LSTM, GRU).
• Strong expertise in one or more areas: optimization, signal processing, systems theory, statistical modeling, system identification, or machine learning.
• Programming experience required: strong preference for proficiency with MATLAB and Python and familiarity with object oriented programming concepts.
• Experience with electronic devices and laboratory tools such as oscilloscopes, power supplies, and function generators is a plus.
• Motivated, self-driven, and introspective problem solver with strong troubleshooting and improvement-oriented mindset.
• Comfortable working in a fast-paced environment with tight deadlines.
• Flexible and eager to collaborate across diverse teams.

• Competitive Total Compensation Package
• Medical, Dental and Vision on 1st day
• Company 401K match
• Paid Time Off & Holidays
• Sick Leave Policy
• Casual day to day work environment
• Hybrid/flexible work environment (for some positions)

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).
• 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.

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. Qualifications: 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). 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). Preferred Qualifications: 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. #J-18808-Ljbffr

Join to apply for the Deep Learning Engineer role at Carbon Robotics Join to apply for the Deep Learning Engineer role at Carbon Robotics This range is provided by Carbon Robotics. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $130,000.00/yr - $90,000.00/yr Direct message the job poster from Carbon Robotics 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 $1 7 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 Experiences for Success: 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 Qualified applicants may receive a short survey after applying to help the team learn more about you. 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. Carbon Robotics' base salary pay range: $130,000 290,000 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: Pre-IPO Stock Options 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 Life Insurance Long Term Disability Flexible PTO 401(k) plan Pet Insurance 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. Seniority level Seniority level Not Applicable Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Automation Machinery Manufacturing Referrals increase your chances of interviewing at Carbon Robotics by 2x Get notified about new Deep Learning Engineer jobs in Seattle, WA . 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Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

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.

You will also be eligible for equity and benefits . NVIDIA accepts applications on an ongoing basis.

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.

You will also be eligible for equity and benefits . NVIDIA accepts applications on an ongoing basis.

Bexorg is a cutting-edge biotech startup focused on CNS drug discovery, leveraging its proprietary BrainEx platform to conduct preclinical studies on human and porcine brains. We combine advanced wet-lab experiments with AI/ML-driven drug discovery through our XO Digital platform to revolutionize the understanding and treatment of brain disorders. We are seeking a senior deep learning scientist to design and implement AI models that integrate complex biological signals, including pioneering work in generative graph representation learning and other techniques to model the intricacies of human brain biology.

• Model Development: Design, develop, and deploy state-of-the-art deep learning models for analyzing multi-modal biological data.
• Integration of Biological Data: Collaborate with bioinformatics, experimental biology and engineering teams to integrate multi-modal datasets into cohesive AI frameworks.
• Innovative AI Architectures: Develop deep learning architectures that incorporate biological inductive biases, and explore generative graph representation learning to reveal novel patterns in brain data.
• Scalability & Optimization: Optimize deep learning pipelines for petabyte-scale datasets and ensure models are scalable on high-performance computing infrastructures.
• Validation & Iteration: Rigorously validate model outputs against biological benchmarks and iterate based on experimental feedback.
• Scientific Communication: Publish research findings and present at scientific conferences to contribute to the broader AI and biomedical communities.
• Stay Current: Keep abreast of the latest advancements in deep learning and AI, ensuring our models leverage cutting-edge innovations.

• Educational Background: PhD in Computer Science, Machine Learning, or alternative STEM field (e.g., biology or physics) with appropriate experience.
• Applied Experience: Demonstrated track record of applying deep learning to biological problems (e.g., genomics, transcriptomics, proteomics, or imaging).
• Graph & Geometric Deep Learning: Strong practical experience with geometric deep learning and graph neural networks (GNNs); proven ability to tailor these methods to biological data, especially transcriptomics.
• Framework Proficiency: Expertise in PyTorch with the ability to build and deploy scalable models.
• Multimodal Integration: Experience integrating diverse data types (e.g., transcriptomics, proteomics, mass spectroscopy, etc) using deep learning.
• MLOps & Scalability: Familiarity with developing production-quality pipelines, cloud computing, and model deployment best practices.
• Collaboration: Excellent communication skills and the ability to work cross-functionally with engineers, biologists and other key stakeholders to convert raw data output into neuroscience discoveries.
• Industry Exposure: Experience (or strong interest) in drug discovery or biomedical research is a plus.
• Research & Innovation: Demonstrated ability to research and implement novel deep learning architectures tailored to complex biological datasets.
• Cross-Disciplinary Teamwork: Strong problem-solving skills and ability to work effectively in a cross-disciplinary team (collaborating with bioinformaticians, neuroscientists, experimentalists and engineers).
• HPC & Distributed Training: Experience with high-performance computing (HPC) environments or distributed training techniques for large-scale GNN models.
• Communication Skills: Excellent communication skills for presenting findings and collaborating effectively with diverse stakeholders.

• Experience with graph neural networks and generative graph representation learning.
• Background or collaborative experience in biological sciences or neuroscience.
• Prior experience integrating AI models with high-fidelity biological data.
• A publication track record in leading AI/ML conferences or in computational biology/neuroscience journals.

• Opportunity to work at the forefront of neuroscience and drug discovery.
• Collaborative work environment with a multidisciplinary team.
• Competitive compensation package including stock options.
• Career growth opportunities in a rapidly scaling company.

We are now looking for a Senior Deep Learning Engineer! At NVIDIA, we are at the forefront of advancing the capabilities of artificial intelligence. We are seeking an ambitious and forward-thinking senior deep learning engineer to contribute to the development of next-generation inference optimizations and deliver industry-leading performance without compromising model quality. In this role, you will analyze and explore techniques to scale test-time compute and optimize low-latency inference. Your work will leverage cross-stack optimizations at the algorithmic and system level.

As NVIDIA makes significant strides in AI datacenters, our team holds a central role in maximizing the efficiency of our exponentially growing inference deployment needs and establishing a data-driven approach to algorithmic improvements, hardware design and system software development. We collaborate extensively with diverse teams at NVIDIA, spanning deep learning research and framework development teams, to silicon architecture. Thriving in such a high-impact, interdisciplinary environment necessitates not only technical proficiency but also a growth mindset and a pragmatic attitude qualities that fuel our collective success in shaping the future of datacenter technology.

• Keeping abreast of the latest advancements in generative AI research.
• Prototyping and analyzing emergent techniques in the test-time compute space such as output refinement, speculation, and retrieval. Identifying opportunities for algorithmic as well as system optimizations.
• Pioneering the development of innovative optimizations to enable high quality inferencing on NVIDIA GPUs.
• Collaborating closely with production teams to incorporate the latest advancements into cutting-edge software frameworks.

• Master's degree (or equivalent experience) in Computer Science, Artificial Intelligence, Applied Mathematics, or related fields.
• A strong foundation in deep learning, with a particular emphasis on generative models and inferencing.
• A track record of at least 5 years of relevant software development experience in modern deep learning frameworks such as PyTorch.
• Growth mindset and pragmatic attitude.

• Published research or noteworthy contributions to the field of deep learning, particularly in areas such as inference-time compute, conditional compute, speculative decoding, etc.
• Experience with prototyping and/or deployment of emergent test time compute techniques.
• Experience with collaborating across algorithms, software and performance teams to deliver high quality solutions.
• Familiarity with computer architecture and how it relates to AI algorithms development.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you!

The base salary range is 148,000 USD - 287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits.

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.