111 Deep Learning jobs in the United States

Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.

If making an impact and having a seat at the table is important to you, this is the opportunity for you. Join our small, rapidly-growing team at Quadric to develop supercomputer technology designed for the Edge. In this position, you will be a core member of our team, and will have an opportunity to grow in the company of expert technologists who also happen to be good people you’ll want to spend time with.

What We Value:

Integrity, Humility, Happiness

What We Expect:

Initiative, Collaboration, Completion

Role:

As a senior member of our platform software engineering team, you will be tasked with lowering and optimizing neural networks on the quadric EPU. You will design and implement algorithmic optimizations to extract maximum performance out of the Quadric architecture.

Responsibilities:

• Drive the lowering and optimization of cutting edge deep neural networks using Quadric’s technology

• Apply your skills and expertise in mathematical & algorithmic optimization toward solving NP-hard problems

• Collaborate within the software team to develop algorithms that optimize graph-based execution on the Quadric architecture

Requirements

• MS or Ph.D. in Computer Science, or related field, with a minimum of eight years of experience in the industry

• Strong background in numerical and/or algorithmic optimization

• Understanding of building application-appropriate heuristics for NP-hard problems

• Knowledge of both classical as well as ML algorithms, e.g., Computer Vision, DSP, DNNs, etc.

• Strong background in graphs and related algorithms

Nice to haves:

• Proficiency in C++ >= 11

• Experience using / developing in TVM

• Knowledge of front-end and back-end compiler techniques

Expected Outcomes in 12 months:

• Develop a deep understanding of the hardware platform and low level software and leverage that for optimal performance of applications.

• Have a proven track record of implementing optimization passes for efficient lowering of deep learning and high performance computing algorithms on the Quadric EPU parallel processor.

Benefits

• Provide competitive salaries and meaningful equity

• Provide a politics free community for the brilliant minds who want to make an immediate impact

• Provide an opportunity for you to build long term career relationships

• Foster an environment that allows for lasting personal relationships alongside professional one

Founded in 2016 and based in downtown Burlingame, California, Quadric is building the world’s first supercomputer designed for the real-time needs of edge devices. Quadric aims to empower developers in every industry with superpowers to create tomorrow’s technology, today. The company was co-founded by technologists from MIT and Carnegie Mellon, who were previously the technical co-founders of the Bitcoin computing company 21.

Quadric is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, religion, sex, national origin, sexual orientation, age, citizenship, marital status, or disability.

Company Description

The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Cambridge, Massachusetts is part of the global Bosch Group ( ), a company with over 70 billion euro revenue, 400,000 people worldwide, a very diverse product portfolio, and a history of over 125 years. The Research and Technology Center North America (RTC-NA) is committed to providing technologies and system solutions for various Bosch business fields primarily in the areas of Human Machine Interaction (HMI), Robotics, Energy Technologies, Internet Technologies, Circuit Design, Semiconductors and Wireless, and MEMS Advanced Design.*

Job Description

The ideal candidate will passionately drive and further advance innovations in the field of artificial intelligence, such as deep learning, generative modeling, neural programming, and their applications to emerging areas such as contrastive learning, multimodal learning, high-dimensional perception, foundation models, etc. The work includes conducting advanced research and development of novel algorithms and conducting experiments to bring innovation ideas to products. Responsibilities include but not limited to:

• Define and conduct cutting-edge research and engineering projects in AI, deep learning and generative modeling in areas such as contrastive learning, multimodal learning, high-dimensional perception, foundation models.

• Work with an international team of experts to transfer the results of advanced research to Bosch business units. Benchmark, validate and test research ideas on large scale datasets.

• Summarize research findings in high-quality paper and/or patent submissions.

Qualifications

Required:

• Currently pursuing PhD degree in Computer Science / Systems Engineering or a related technical field.

• Hands-on experience in deep learning and/or AI system topics with focus on at least two of the following areas: machine learning theory, contrastive learning, generative AI, multimodal learning, and foundation models.

• Programming experience in Python, and hands-on experience with common machine learning libraries such as Tensorflow, PyTorch, etc.

Desired:

• Publication record in top venues in robotics/machine learning/computer vision, e.g., ICRA, IROS, RSS, NeurIPS, ICML, ICLR, CVPR, ICCV, and ECCV.

• Strong communication skills and ability to convey research ideas to a broad audience.

• Strong leadership skills with excellent English communication & teamwork skills.

• Experience working with big data and associated distributed processing tools (e.g., Spark) as well as cloud services (e.g., AWS, Azure)

Additional Information

• On-site Internship

• Duration : 13 weeks

The U.S. base salary range for this intern position is $35.00-$68.00 hourly . Within the range, individual pay is determined based on several factors, including, but not limited to, type of degree, work experience and job knowledge, complexity of the role, type of position, job location, etc. Your Hiring Manager can share more details about the specific salary range for this position during the interview process.

By choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled.

BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics)

• FIRST Robotics (For Inspiration and Recognition of Science and Technology)

• AWIM (A World In Motion)

Do you want to help drive the progress of compilers for machine learning applications? Are you excited to learn how GPU performance powers technology such as mobile gaming, deep learning, and self-driving cars? Are you passionate about challenging yourself and would you love to contribute as part of a world-class company? We are building the next generation of compiler technologies to accelerate deep learning workloads. We are looking for an engineer to work on compiler verification in the AI space. You will be solving critical problems working alongside some of the top valued diverse minds in GPU computing and systems software, doing what you enjoy. If this sounds like a fun challenge, we want to hear from you!

What you’ll be doing:

In this role you will work closely with deep learning compiler developers to create software infrastructure and applications used to develop, test, and release compilers. Responsibilities involve creating and maintaining advanced CI/CD pipelines to deploy and monitor machine learning software workloads. This includes functional and performance benchmarking solutions used to verify and bring the quality of deep learning compilers at NVIDIA to the next level. In addition, you will evaluate the performance of AI models and systems by implementing and utilizing advanced algorithms and solutions to carry out meticulous testing, experimentation, and benchmarking. You will help identify potential or observed weaknesses in the current process, offer ideas for actions that can improve code coverage, and participate in quality initiatives and drive continuous improvement.

What we need to see:

• BS, MS, or PhD or equivalent experience in Computer Science, Computer/Electrical Engineering, Mathematics or related field

• 5+ years of overall professional experience with 2+ years of MLOps experience specific in deep learning software environment

• Knowledge of the machine learning domain and professional experience working with deep learning frameworks like TensorRT, JAX, PyTorch, NeMo, TensorFlow, or others.

• Able to architect, design, implement and debug complex solutions using Python programming language in machine learning domain

• Familiarity with CI/CD pipeline development, cloud-based testing (AWS/GCP), data storage and database solutions, implementing visualization dashboards, and data analysis for performance and regression reporting

• Learn and adapt swiftly to changes in technical and project requirements

Ways to stand out from the crowd:

• Experience identifying and solving challenging technical problems by programmatic use of deep learning solutions such as large language models

• Prior experience providing technical leadership in deep learning software development environments

• Knowledge on how compilers work and how compilers are implemented with LLVM infrastructure

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 brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Deep Learning, Artificial Intelligence, Autonomous Vehicles, Virtual Reality, etc. Our diverse team of talented, capable, and professional people are our greatest asset! If you're a creative and autonomous engineer with a real passion for technology, 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 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

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.

• Lead and conduct cutting-edge research in deep learning, neural networks, and related AI fields.
• Develop novel algorithms and models to address complex scientific and technological challenges.
• Publish research findings in top-tier academic conferences and journals.
• Collaborate with cross-functional teams to integrate research outcomes into product development.
• Mentor and guide junior researchers and engineers, fostering a culture of innovation and academic rigor.
• Identify new research directions and opportunities for technological advancement.
• Represent the institution at conferences and workshops, contributing to the broader AI community.
• Develop and maintain strong relationships with academic and industry partners.
• Oversee the management of research projects, including resource allocation and timelines.
• Ensure the ethical development and application of AI technologies.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 10 years of post-doctoral research experience in deep learning and neural networks.
• A strong publication record in leading AI conferences (e.g., NeurIPS, ICML, ICLR) and journals.
• Proven expertise in developing and implementing deep learning models using frameworks like TensorFlow, PyTorch, or Keras.
• Demonstrated experience in leading research teams and managing complex research projects.
• Exceptional analytical, problem-solving, and critical thinking skills.
• Outstanding communication, presentation, and interpersonal skills.
• Ability to articulate complex technical concepts to both technical and non-technical audiences.
• Experience with large-scale data processing and high-performance computing environments is advantageous.
• Passion for exploring and advancing emerging AI technologies.

• Designing, developing, and deploying scalable deep learning models for various applications, such as natural language processing, computer vision, and predictive analytics.
• Collaborating with cross-functional teams, including data scientists, software engineers, and product managers, to define AI strategies and roadmaps.
• Evaluating and selecting appropriate AI algorithms, frameworks, and tools for specific project requirements.
• Optimizing deep learning models for performance, efficiency, and accuracy in production environments.
• Developing proof-of-concepts and prototypes to demonstrate the feasibility of AI solutions.
• Providing technical leadership and mentorship to junior team members.
• Staying current with the latest advancements in AI research, machine learning, and deep learning.
• Documenting AI architectures, methodologies, and best practices.
• Translating complex business problems into viable AI solutions.
• Ensuring ethical considerations and responsible AI development practices are integrated into all projects.