At NVIDIA, we are building the system, hardware, and software technology which enables autonomous driving. Our safety engineering team is currently looking for a Senior Software Engineer to help develop tools, methodologies, and flows required by the next generation of system on chip (SoC) and board products for autonomous driving. The functional safety analysis of complex SoCs and boards requires creative solutions to challenging engineering problems. The functional safety tools team is responsible for enabling and accelerating the development work of teams building the next generation of functionally safe autonomous vehicles. The team is highly collaborative with a broad scope, high visibility, and myriad opportunities for important contributions. If you are an engineer with a passion for improving how things are done and you love to innovate to increase quality, safety, and efficiency, then you are exactly what we are looking for!
What you will be doing:
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You will be working closely with internal safety engineering teams to deliver innovative tools, methodologies, and flows to enable and improve functional safety development. Specific responsibilities of the Software Engineer role include:
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Crafting and developing new features in the design data flow that enables quantitative safety analysis for highly complex SoCs and boards
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Automating the mapping of hierarchies in prior netlists to equivalent hierarchies in newer netlists
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Working to speed-up the integration of design data from third party suppliers as well as improving the clarity of design data provided to customers
What we need to see:
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A bachelor’s or Master’s degree in Computer Science or Electrical Engineering or equivalent experience (or an advanced degree).
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5+ years of proven track record in the development of EDA tools and flows.
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Strong understanding of design methodologies for semiconductor and board development.
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Strong problem solving and software engineering skills, a passion for applying them to new challenges and a dedication to high quality work.
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Proven track record of conceptualizing, designing, and implementing modular and robust software components with well-thought-out APIs and throughout documentation.
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Expertise in Python or a similar language and an understanding of object-oriented programming.
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Exposure to the requirements for using tools in a development according to ISO 26262, IEC 61508, or related functional safety standards.
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A strong desire to work in a collaborative team where you will regularly learn new things, tackle new problems, share ideas, and give and receive feedback.
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Excellent analytical, interpersonal, and written and verbal communication skills.
Ways to stand out from the crowd:
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Academic or industry experience with the entire life cycle of an automation infrastructure or flow; from concept to the design, implementation, deployment, and support.
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Exposure to robust, high quality software development processes used in the automotive and industrial markets. Experience with DBMS (database management systems), such as MongoDB, SQLite, or Postgres.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked 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, NVIDIA is increasingly known as “the AI computing company.”
