Senior Systems Software Engineer - Autonomous Vehicles Platform

NVIDIA; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Job summary

NVIDIA is seeking experienced engineers for their Autonomous Vehicles Platform team. The role involves developing real-time system software for advanced driver assistance systems, collaborating with multi-functional teams, and ensuring product safety. Ideal candidates will have extensive experience in automotive software development and a strong background in Classic AUTOSAR.

Benefits

Equity

Benefits

Qualifications

• 8+ years in a related field.
• Must have detailed experience with Classic Autosar Software Stack.

Responsibilities

• Develop embedded real-time system software for safety services.
• Collaborate with software and hardware teams to drive system architecture.

Skills

C

Scripting languages

Communication

Problem Solving

Education

BS, MS in CS/CE/EE

Tools

Classic AUTOSAR

QNX RTOS

Software debuggers

Analyzers

Trace loggers

Job description

Our Autonomous Vehicles Platform team is searching for engineers to develop and bring NVIDIA's automotive platform out to the world. You will participate in a focused effort to develop and productize ground-breaking solutions that will revolutionize the world of transportation and the growing field of self-driving cars. You will work with hardworking and dedicated multi-functional engineering development teams across various vehicle subsystems to integrate their work into our autonomous driving DRIVE SW platform, while achieving or exceeding all meaningful NVIDIA and automotive standards & guidelines. You'll find the work is exciting, fun, and very meaningful. We have deadlines, customers, and competition.

What you'll be doing:

• Develop embedded real time system software responsible providing safety services for Advance Driver Assistance System

• Optimize solution to meet all product, safety and system level requirements and satisfy key performance indicators

• Adhere to development rigor that insures achieving the overall product safety goals and develop supporting work-products that align with functional safety process

• Collaborate with software, hardware, and integration teams to derive and drive system level architecture and requirements

• Regularly engage with customer teams directly to customize, integrate, and productize

• Analyze sophisticated technical issues and independently drive resolution across multiple teams

• Work in an environment which involves Hypervisor, Linux, QNX RTOS, Classic AUTOSAR

What we need to see:

• BS, MS in CS/CE/EE, or equivalent experience

• 8+ years in a related field

• Must have detailed experience with Classic Autosar Software Stack and associated development tools

• Excellent C coding skills along with proficiency in Scripting languages

• Master of software debugging tools: software debuggers, analyzers, trace loggers

• Deep understanding of SoC principles, general systems architectures, operating systems, device drivers, memory management, multithreading, and real-time scheduling

• Excellent communication and organization skills, with a logical approach to problem solving, good time management and task prioritization

Ways to stand out from the crowd:

• Prior experience in Automotive field

• Background with QNX RTOS and tools

• Prior experience working with CAN and tools, RADAR, LiDAR is a plus

• Experience with onsite and offsite customer support

• Prior experience writing Network Switch Configuration Firmware

The base salary range is 184,000 USD - 356,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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. #deeplearning