Senior Software Engineer, World Model – Autonomous Vehicles

NVIDIA

. Build and own core online world model and context fusion software running in vehicles, from architecture through deployment .

Posted 11/9/2026full-timeRemote • United StatesSenior💰 $152,000 - $287,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and optimizing production-quality software for real-time embedded systems, with a strong focus on C++ development, performance profiling, and adherence to automotive safety standards. Proficient in integrating complex algorithms and ensuring high code coverage through rigorous testing methodologies.

Highest-signal resume keywords

C++ DevelopmentReal-Time Embedded SystemsPerformance ProfilingAutomotive Safety StandardsCUDA Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

C++Memory ManagementConcurrencyPerformance OptimizationSoftware Architecture DesignStatic AnalysisUnit TestingGPGPU Programming3D GeometryAPI Development

Tools & Technologies

NVIDIA DRIVE OrinNVIDIA DRIVE ThorRTOSMISRA GuidelinesAUTOSAR C++ Guidelines

Industry Keywords

ASIL-BASIL-DFunctional SafetyEmbedded SystemsAutomotive Software Development

Tech Stack

Tools & technologies

RTOSC++

About the role

Key responsibilities & impact

Build and own core online world model and context fusion software running in vehicles, from architecture through deployment
Write production C++ for real-time embedded systems
Design software architecture, interfaces, and data flows across vehicle programs within CPU, memory, and latency budgets
Profile pipelines, identify bottlenecks, and improve CPU utilization, memory usage, and end-to-end latency on NVIDIA DRIVE Orin and Thor
Develop benchmarks and performance regression tests
Use CUDA GPU parallelism for compute-heavy mapping components
Integrate mapping algorithms into NVIDIA’s autonomous-vehicle stack
Develop to ASIL-B/D automotive safety standards with static analysis, safety-oriented coding guidelines, and rigorous unit and integration testing
Achieve 100% line and branch coverage
Build robust software for varied vehicle operating conditions and failure modes
Contribute to code reviews and uphold quality and safety expectations

Requirements

What you’ll need

PhD with 1+ year, MS with 3+ years, or BS with 5+ years of relevant experience in Computer Science, Electrical or Computer Engineering, or a related field, or equivalent experience
5+ years of experience building robust, production-quality software
3+ years of professional modern C++ development
Strong grasp of memory management, concurrency, and performance
Experience profiling and optimizing CPU utilization, memory consumption, and latency using profilers and benchmarks
Understanding of algorithms and data structures and their performance impact
Experience designing software architecture and APIs for large, long-lived codebases
Experience with static analysis, unit testing, and high-coverage test strategies
Ability to work with algorithm developers and understand their work
Software development on embedded, real-time, or automotive platforms, including RTOS experience, functional safety standards and processes, MISRA or AUTOSAR C++ guidelines, and safety-qualified toolchains
GPGPU programming (CUDA) and GPU performance tuning
Cache-aware data layouts, memory allocation optimization, multithreading, or SIMD/vectorization
Experience with 3D geometry and graphics
Experience building efficient, reusable APIs and frameworks for complex systems

Benefits

Comp & perks

Equity
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