Senior Perception Software Engineer

NVIDIA

. Execute the full software development life cycle (SDLC) .

Posted 10/16/2026full-timeRemote • United StatesSenior💰 $224,000 - $356,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in software development for embedded platforms, with strong proficiency in C++ and Python. Capable of deploying DNN models and improving machine learning model accuracy using simulated data.

Highest-signal resume keywords

Embedded Software DevelopmentC++ ProgrammingPython ProgrammingDNN Model DeploymentTest-Driven Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software Development Life Cycle (SDLC)Test-Driven DevelopmentSoftware Verification PlansDebuggingIntegration and TestingMachine LearningDeep Learning FrameworksCUDASIMDDocumentation

Soft Skills

CollaborationProblem Solving

Tools & Technologies

NVIDIA Autonomous Driving SolutionsReal-Time ApplicationsSoftware Engineering ToolsSimulated Data

Industry Keywords

Perception SoftwareRobotic PlatformsBenchmark DataComponent RobustnessDesign-Based Approach

Tech Stack

Tools & technologies

PythonPyTorchSDLCTensorflowC++

About the role

Key responsibilities & impact

Execute the full software development life cycle (SDLC)
Write well-designed, testable code
Integrate perception software components into fully functional software systems
Develop software verification plans and quality assurance procedures
Document and maintain software functionality
Solve, debug, and upgrade existing systems
Stay synchronized with project plans and industry standards
Deploy state-of-the-art perception DNN models to embedded platforms
Analyze and improve systems using real and synthetic benchmark data
Design, develop, and productize NVIDIA autonomous driving solutions
Build world-class perception solutions and improve component robustness, efficiency, and reusability
Collaborate with perception engineers and researchers

Requirements

What you’ll need

BS, MS or PhD in Computer Science or related fields (or equivalent experience)
12+ years of proven work experience on embedded platforms for real-time applications as a Software Engineer or Software Developer
Strong programming skills in C++ and Python
Experience with test-driven development
Experience with a disciplined, design-based approach to software development
Proficiency in software engineering tools
Ability to document requirements and specifications
Experience with CUDA / SIMD (standout)
Hands-on background deploying DNN models to embedded platforms for real-time applications (standout)
Hands-on experience using simulated / synthetic data to improve machine learning model accuracy (standout)
Background with deep learning frameworks such as TensorFlow or PyTorch (standout)
Experience with integration and testing on real hardware / robotic platforms (standout)

Benefits

Comp & perks

Equity
Benefits
Equal opportunity employment and inclusive work environment