Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Team The Systems Engineering team is responsible for the requirements, architecture, and validation of autonomous driving capabilities across engineering disciplines. This includes designing performance metrics, evaluation methods, and criteria for success, which the team then drives cross-functional via requirement definition and system validation. Systems Engineering works at the intersection of hardware, software, and robot operations, with a deep understanding of technologies in all three. We are a small, high-impact team that sets the checkpoints for autonomy deployment. About the Role The Senior Software Engineer, Autonomy Behavior Testing role is responsible for transforming Nuro's Verification & Validation (V&V) ecosystem. You will focus on the technical implementation, standardization, and automation of V&V processes. This involves creating a unified, automated architecture for validation , designing and ma
Senior Software Performance Engineer - Autonomous Vehicles
Salary not disclosed
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Role overview
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.
- 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 as this role might require significant interfacing with other teams within NVIDIA.
Ways to stand out from the crowd:
- Understanding of embedded architectures and real-time operating systems & scheduling.
- Strong 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.
#AutonomousVehicles
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.What they are looking for
Skills & requirements
Qualification
What we need to see: MS or PhD degree in Computer Science, Computer Architecture, Electrical Engineering or related field (or equivalent experience)
Hiring company
NVIDIA
We create the world’s fastest supercomputer and largest gaming platform.
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