Senior Applied Research Engineer, Accelerator Algorithms

Benefits

• Publish, present, and communicate technical findings across research and engineering teams where appropriate.
• What We Need To See: BS/MS or PhD in Computer Science, Electrical Engineering, Computer Engineering, Robotics, or a related field, or equivalent experience. 12+ years of experience in applied research, programmable accelerator algorithm design, computer architecture, or high-performance computing.
• Experience with DSP, SIMD, VLIW, fixed-point arithmetic, memory hierarchy, and low-level performance optimization.
• Experience with HW/SW co-design, workload characterization, performance modeling, benchmarking, and bottleneck analysis.
• Familiarity with emerging physical AI workloads such as VLA models, multimodal perception, sensor processing, autonomous systems, or robotics systems.
• Strong programming skills in C++, Python, CUDA, or similar environments.
• Excellent communication skills and the ability to explain complex technical tradeoffs clearly.
• Strong ownership, technical judgment, and ability to operate in ambiguous problem spaces.
• Ways To Stand Out From The Crowd: Hands-on experience with CUDA, ROS/ROS2, AV or robotics middleware, sensor processing frameworks, profiling tools, and heterogeneous compute pipelines.
• Strong research track record in computer architecture, autonomous systems or sensor processing.
• Familiarity with safety-conscious development processes such as ISO 26262, IEC 61508, or similar standards.
• 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.
• If you're creative, autonomous, and love a challenge, we want to hear from you.
• NVIDIA is leading the way in accelerated computing, robotics, high-performance computing, and physical AI.
• We are looking for extraordinary people to help us shape the programmable accelerators that will power the next generation of autonomous machines.