Design and deliver low‑level simulation and virtualization software for high‑performance automotive systems.
Compensation
The US base salary range for this full-time position is $163,500.00 - $212,400.00.
Responsibilities
Own the end‑to‑end design and delivery of low‑level emulation and virtualization software for high‑performance, high‑throughput ECU simulation across multiple cross‑platform vehicle initiatives
Architect and optimize CPU, GPU, NPU simulation / emulation / virtualization technologies continuously pushing the boundaries of functionality, performance, efficiency, and reliability
Deliver production‑grade simulation components that precisely meet product definitions, customer specifications, and vehicle platform requirements, maintaining full traceability to requirements
Design and implement high‑performance Linux guest drivers and libraries for CPU, GPU, NPU, and peripheral components, enabling seamless virtualized hardware access in a virtualized environment
Partner closely with application and system development, validation, and integration teams to translate real‑world automotive constraints into robust, high‑quality simulation solutions that accelerate vehicle product SW development, validation, and integration
Requirements
BS / MS in Electrical Engineering, Computer Engineering, Computer Science, or equivalent
Nice to have: QEMU or simulator architecture and development
Nice to have: Linux hypervisors and virtualized driver stacks
Lead cross‑team technical initiatives, drive consensus on architectural designs and implementation strategies, and mentor engineering staff while shaping platform engineering initiatives.
Locations (2)
Montreal, Quebec, Canada
United States
Compensation
Zone A : de 153 000 $ CA à 229 600 $ CA brut
Zone B : de 165 400 $ CA à 248 000 $ CA brut
Zone A : de 157 800 $ US à 236 800 $ US brut
Zone B : de 178 300 $ US à 267 500 $ US brut
Zone C : de 200 400 $ US à 300 600 $ US brut
Responsibilities
Lead cross‑team technical initiatives
Drive consensus on architectural designs
Analyze and identify optimization opportunities
Provide technical mentorship
Contribute to strategic roadmap planning
Requirements
Nice to have: Game engine architecture
Nice to have: Managed runtime environments
Nice to have: Open‑source contributions
Nice to have: AI integration
Skills
Senior Product Marketing Manager, AI Infrastructure
Lead go-to-market strategy and positioning for NVIDIA’s AI infrastructure portfolio, translating technical capabilities into customer value and driving product launches.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 5; and 224,000 USD – 356,500 USD for Level 6.
Responsibilities
Product marketing and go-to-market launches across NVIDIA’s AI infrastructure portfolio
Building positioning that connects silicon to system to data center translating GPU, CPU, DPU and networking capabilities into the rack-level and factory-level outcomes customers buy
Telling the full-stack story of extreme co-design across compute, networking, memory, power, cooling and software
Working with Engineering, Sales, Creative and Product Management teams to build web content, launch materials, keynote content and marketing assets
Engaging with engineering teams to understand technical details and identify key value propositions
Requirements
Bachelor’s or Master’s degree in engineering (or equivalent experience)
Research, design, develop, and/or test electronic components and systems for semiconductor and related device manufacturing, performing definition, design, verification, and/or documentation for ASIC development.
Responsibilities
Perform definition, design, verification, and/or documentation for ASIC development
Determine architecture design, logic design, and/or system simulation
Define module interfaces/formats for simulation
Contribute to the development of multidimensional designs involving the layout of complex integrated circuits
Evaluate all aspects of the process flow from high-level designs to synthesis, place and route, and timing and power use
Requirements
Master’s degree or foreign equivalent in Electrical and Computer Engineering, Electronics Engineering, Computer Engineering, or related field
Lead and manage AI gaming and creator features integration across NVIDIA and game developers.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 168,000 USD – 258,750 USD for Level 4; and 200,000 USD – 322,000 USD for Level 5.
Responsibilities
Own scope planning for multiple AI Gaming and Creator features
Lead the planning, execution and monitoring of programs from kickoff through launch
Develop program plans and timelines, coordinate resources, manage risks and dependencies
Be responsible for the tasks, bugs and schedule for each feature
Lead the technical and QA relationships with internal teams
Requirements
BS or MS in Computer Science or a related field
Nice to have: cross-functional collaboration
Nice to have: complex feature roadmaps
Nice to have: program management methodology and toolset
Research, design, develop, and/or test electronic components and systems for semiconductor and related device manufacturing.
Responsibilities
Research, design, develop, and/or test electronic components and systems for semiconductor and related device manufacturing
Perform definition, design, verification, and/or documentation for ASIC development
Determine architecture design, logic design, and/or system simulation
Define module interfaces/formats for simulation
Contribute to the development of multidimensional designs involving the layout of complex integrated circuits
Requirements
Master’s degree or foreign equivalent in Computer Engineering, Electrical Engineering, Electronic Engineering, Electrical and Computer Engineering, or related field
Design, develop, and test electrical/electronic components and systems for semiconductor products, managing product lifecycle from definition to end of life.
Responsibilities
Develop and/or test electrical/electronic components and/or systems for semiconductor products
Design, develop, and/or manage activities for a specific product or group of products from product definition and planning through production, release and end of life
Serve as the central resource with design, process, manufacturing, test, quality, and marketing as the product(s) move to production and distribution
Involve throughout all stages of a product’s lifecycle including modifications, upgrades and maintenance
Exercise limited judgment within defined company procedures and practices
Requirements
Master's degree in Computer Science, Computer Engineering, Electrical Engineering or related field
Research, design, develop, and/or test operating systems-level software, compilers, and/or network distribution software for semiconductor operations
Design, develop, troubleshoot and debug software programs for enhancements and new products
Develop software and tools in support of design, infrastructure and technology platforms, including operating systems, compilers, routers, networks, utilities, databases, cloud-based and Internet related tools
Develop, debug, bring-up, and tune performance of new graphics hardware running on operating systems
Software Development Engineer working with AMD’s architecture specialists to improve future products, focusing on ASIC and hardware bring‑ups, operating systems‑level software, compilers, and network distribution software for semiconductor operations.
Responsibilities
Apply a data‑minded approach to target optimization efforts
Stay informed of software and hardware trends and innovations
Design and develop new groundbreaking AMD technologies
Participate in new ASIC and hardware bring‑ups
Debug and fix existing issues and research alternative, more efficient ways to accomplish the same work
Requirements
Master’s degree or foreign equivalent in Computer Science, Computer Engineering, Electrical Engineering or related field
Bachelor’s degree or foreign equivalent in Computer Science, Computer Engineering, Electrical Engineering or related field and six years of progressive post‑baccalaureate experience