Senior Integration Engineer - Autonomous Vehicles
NVIDIA Ltd.
Santa Clara, United States of America
15 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
$ 288KJob location
Santa Clara, United States of America
Tech stack
C++
CMake
Nvidia CUDA
Computer Programming
Computer Engineering
Software Debugging
Linux
Distributed Systems
Game Engine
General-Purpose Computing on Graphics Processing Units
MISRA C (C Programming Language)
Performance Tuning
Real-Time Operating Systems
Software Engineering
System Software
Systems Integration
Multithreading
Graphics Processing Unit (GPU)
GIT
Information Technology
Low Latency
Data Management
Software Version Control
Job description
- Integrating modular software components (e.g. perception, planning, etc.) together to implement customer-required self-driving functions.
- Optimizing product implementation to achieve target performance goals.
- Diagnosing system software & functional driving issues reported on our target driving platforms, including on-road & simulation.
- Create efficient mechanisms to improve utilization on computers with multiple heterogeneous hardware engines.
- Performing in-vehicle tests, collecting data and completing autonomous drive missions.
- Developing system tests, documentation of product functions, evaluating quality and proposing corrective actions.
- Developing highly efficient product code in C++, making use of high algorithmic parallelism offered by GPGPU programming (CUDA).
- Follow quality and safety standards such as defined by MISRA.
Requirements
- PhD with 1+ year, MS with 3+ years, or BS (or equivalent experience) with 5+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
- Excellent C and C++ programming skills.
- Experience developing and debugging multithreaded/distributed applications like multimedia systems, game engines, etc. Profound knowledge of programming and debugging techniques.
- Experience on developing software in heterogeneous architectures, including GPUs.
- Background with version control systems GIT and build system like CMake/Bazel.
- Be hands-on and work well within a team of algorithm, software and hardware engineers, with a significant level of detail orientation and a penchant for data organization and presentation.
- Solid understanding of Linux, and/or other real-time operating systems.
Ways to stand out from the crowd:
- Understanding of parallel, embedded and distributed architectures.
- Great at writing low latency, highly performant code.
- Great communication and analytical skills.
- Self-motivated and a great teammate.
Benefits & conditions
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
About the company
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.
Our team builds NVIDIA's end-to-end autonomous driving application. We are seeking software engineers, who want to work "full stack" on crafting self-driving solutions on NVIDIA's multi-computer and heterogeneous hardware architectures. We are now looking for a Senior Integration Engineer, Autonomous Vehicle.