Senior Applications Software Engineer, DriveAV - Autonomous Vehicles
NVIDIA's invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We are growing our company and the team with the brightest people in the world.
We are looking for passionate Application Software Engineers, with a specialization in planning and control, to develop and productize NVIDIA's DRIVE software. As a member of NVIDIA's Solution Engineering team, you will help craft the application software architecture by working closely with partners developing on our platform and collaborating with internal teams. In addition, you will also be involved in the advancement and refinement of the overall drivability of our solution, focusing on integration challenges and using your deep analytical skills to tease through the complexity of the system to find effective solutions.
NVIDIA’s deep learning platform has already made a major impact to the field and is broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies. We need passionate, hard-working and creative engineers to help us tackle more of these exciting opportunities in autonomous driving!
What you'll be doing:
Be the trusted technical expert to our partners and customers on NVIDIA’s DRIVE software application architecture.
Shape the application architecture internally by collaborating closely with architecture and software development teams.
Responsible for integrating different hardware and software components optimally for customer solutions and verification via profiling, benchmarking and evaluation activities.
Drive bring-up activities and provide technical support to resolve hardware and software issues.
Customize, reconfigure and rebuild processing pipelines in NVIDIA’s DRIVE software
Perform in-vehicle and simulation test drives and deep analysis on the recorded data
Collaborate with our global engineering teams in our US, APAC, India and Europe locations to deploy the solution to our customers.
What we need to see:
5+ years of work related experience in software development related to deep learning and/or autonomous driving technologies
BS, Masters or PhD degree in computer science, robotics, electrical engineering, or related technical field (or equivalent experience).
Prior experience in application development and familiarity with robotics related middleware frameworks.
Excellent C/C++ development skills with good knowledge of Python and scripting languages
Knowledgeable with various OS environments such as Linux, Android, or Real-time operating systems
Ease of adapting to new technologies and platforms
Ability to adapt to fast paced development lifecycles and multi-functional organizations
Ways to stand out from the crowd:
Experience with automotive design processes and norms (e.g. ISO 26262, ASPICE)
Prior experience with in-vehicle testing, simulation and metrics development of autonomous driving systems.
Hands-on experience resolving complex interdependent issues emanating from sensors to other embedded controllers on the vehicle.
Understanding of NVIDIA DRIVE platform or NVIDIA GPU hardware
Prior experience with CUDA programming language
Open source project ownership or contribution, GitHub repositories, guiding and/or mentoring experience.
Strong analytical and problem solving skills, with good attention to details.