Senior Applications Software Engineer, DriveAV - Autonomous Vehicles
India, Bengaluru
NVIDIA
NVIDIA erfindet den Grafikprozessor und fördert Fortschritte in den Bereichen KI, HPC, Gaming, kreatives Design, autonome Fahrzeuge und Robotik.NVIDIA's Deep Learning GPUs have 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 smartest people in the world.
We are looking for passionate Application Software Engineers to develop and productize NVIDIA's DRIVE software. As a member of NVIDIA's Automotive 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 find creative 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:
BS/MS EE/CS or equivalent experience
4+ years of work related experience in software development related to deep learning and/or autonomous driving technologies
Prior experience in application development and familiarity with autonomous driving related middleware frameworks
Excellent C/C++ development skills with good knowledge of Python and scripting languages
Excellent understanding of autonomous driving platforms
Good understanding of 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.
NVIDIA is committed to fostering a diverse 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Autonomous Driving CUDA Deep Learning Engineering GitHub GPU Linux Open Source Pipelines Python Testing
Perks/benefits: Career development Startup environment
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