NVIDIA
Autonomous Vehicles
SeniorSoftwarePerformanceEngineer-AVPlatform
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Performance Engineer - AV Platform at NVIDIA. Skills: Software Performance Engineering, Autonomous Driving Solutions, C++ Programming, Parallel Architectures, Performance Analysis and Optimization, CUDA/GPGPU. Develop, maintain and optimize latency and throughput of NVIDIA’s L2/L3/L4 autonomous driving solutions. Devise acceleration strategies and patterns to improve software architecture and its efficiency on our computers with multiple heterogeneous hardware engines while meeti”
What You'll Achieve.
meeting or exceeding product goals
Industry & Context.
Devise acceleration strategies and patterns to improve software architecture and its efficiency
What They're Looking For.
Must Have
MS or PhD degree in Computer Science, Computer Architecture, Electrical Engineering or related field (or equivalent experience), 12+ years of relevant professional experience working on autonomous vehicles software, Excellent C and C++ programming skills, Solid understanding of programming and debugging techniques, especially for parallel architectures, Good understanding of system software/operating systems and computer architecture, Experience with performance analysis, optimizations and benchmarking, Outstanding communication and collaboration skills
Nice to Have
Understanding of embedded architectures and real-time operating systems & scheduling, mathematical fundamentals, including linear algebra and numerical methods, Experience implementing algorithms in robotics, computer vision, and/or machine learning, Software development experience with CUDA/GPGPU or any data parallel architectures, Deep learning architecture/performance work on any HW accelerator, especially if on GPUs
What You'll Do.
maintain and optimize latency and throughput of NVIDIA’s L2/L3/L4 autonomous driving solutions
Devise acceleration strategies and patterns to improve software architecture and its efficiency on our computers with multiple heterogeneous hardware engines while meeting or exceeding product goals
Develop highly efficient product code in C++
making use of algorithmic parallelism offered by GPGPU programming (CUDA)/ARM NEON while following quality and safety standards such as defined by MISRA
How You'll Work.
Team & Collaboration
Collaborate with HW, product, OS, and safety teams to design next-gen products; significant interfacing with other teams within NVIDIA
Communication Scope
Outstanding communication and collaboration skills
Full Job Description
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are now looking for a Senior Software Performance Engineer for Autonomous Vehicles! Our team builds NVIDIA’s end-to-end autonomous driving applications. We are seeking senior software engineers who are passionate about performance with an interest in optimizing self-driving solutions that run on NVIDIA’s multi-computer and heterogenous HW architectures. ## **What you’ll be doing:** * Develop, maintain and optimize latency and throughput of NVIDIA’s L2/L3/L4 autonomous driving solutions. * Devise acceleration strategies and patterns to improve software architecture and its efficiency on our computers with multiple heterogeneous hardware engines while meeting or exceeding product goals. * Develop highly efficient product code in C++, making use of algorithmic parallelism offered by GPGPU programming (CUDA)/ARM NEON while following quality and safety standards such as defined by MISRA. * Collaborate with HW, product, OS, and safety teams to design next-gen products. **What we need to see:** * MS or PhD degree in Computer Science, Computer Architecture, Electrical Engineering or related field (or equivalent experience). * 12+ years of relevant professional experience working on autonomous vehicles software. * Excellent C and C++ programming skills. * Solid understanding of programming
Applying for this Senior Software Performance Engineer - AV Platform role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about NVIDIA?
Real rants from real employees. Read before you apply.