Senior Deep Learning Engineer
About the role
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.
What You'll Be Doing
- 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.
What We Need To See
- 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.
Ways To Stand Out From The Crowd
- 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!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 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.
NVIDIA is seeking elite ASIC Verification Engineers to verify the design and implementation of the world’s leading SoC's and GPU's. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing.
In this position, you will help to build the high-performance processor elements that implement programmable compute and graphics functionality.
What You'll Be Doing
- As a key member of our ASIC Verification team, you will verify the design and implementation of the industry's leading GPUs
- You will be responsible for verification of the ASIC design, architecture, golden models and micro-architecture using advanced verification methodologies such as UVM
- Understand the design and implementation of your unit, define the verification scope, develop the verification infrastructure and verify the correctness of the design
- Collaborate with architects, designers, and pre and post silicon verification teams to accomplish your tasks
What We Need To See
- Bachelors Degree in EE, CS or CE or equivalent experience
- 5+ years of relevant experience
- Experience in verification using random stimulus along with functional coverage and assertion-based verification methodologies
- Experience with design and verification tools (VCS or equivalent simulation tools, debug tools like Debussy, GDB)
- Expertise in System Verilog or similar HVL
- You display strong debugging and analytical skills
- Perl and C/C++ programming language experience desirable
- Prior experience with arbiters, interconnect networks and/or caches is desirable
- Strong communication skills and ability & desire to work as a great teammate are huge plus
- Experience in crafting test bench environments for unit and system level verification
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 in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Come join our GPU ASIC Verification team and help us build future architectures that will continue to drive us forward in the fields of computing, graphics and AI.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 105,000 CAD - 182,000 CAD for Level 3, and 127,500 CAD - 221,000 CAD 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.
JR1998428
JR1998028
About NVIDIA
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
Senior Deep Learning Engineer
About the role
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.
What You'll Be Doing
- 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.
What We Need To See
- 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.
Ways To Stand Out From The Crowd
- 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!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 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.
NVIDIA is seeking elite ASIC Verification Engineers to verify the design and implementation of the world’s leading SoC's and GPU's. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing.
In this position, you will help to build the high-performance processor elements that implement programmable compute and graphics functionality.
What You'll Be Doing
- As a key member of our ASIC Verification team, you will verify the design and implementation of the industry's leading GPUs
- You will be responsible for verification of the ASIC design, architecture, golden models and micro-architecture using advanced verification methodologies such as UVM
- Understand the design and implementation of your unit, define the verification scope, develop the verification infrastructure and verify the correctness of the design
- Collaborate with architects, designers, and pre and post silicon verification teams to accomplish your tasks
What We Need To See
- Bachelors Degree in EE, CS or CE or equivalent experience
- 5+ years of relevant experience
- Experience in verification using random stimulus along with functional coverage and assertion-based verification methodologies
- Experience with design and verification tools (VCS or equivalent simulation tools, debug tools like Debussy, GDB)
- Expertise in System Verilog or similar HVL
- You display strong debugging and analytical skills
- Perl and C/C++ programming language experience desirable
- Prior experience with arbiters, interconnect networks and/or caches is desirable
- Strong communication skills and ability & desire to work as a great teammate are huge plus
- Experience in crafting test bench environments for unit and system level verification
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 in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Come join our GPU ASIC Verification team and help us build future architectures that will continue to drive us forward in the fields of computing, graphics and AI.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 105,000 CAD - 182,000 CAD for Level 3, and 127,500 CAD - 221,000 CAD 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.
JR1998428
JR1998028
About NVIDIA
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.