Senior Perception Software Engineer — Embedded AI Equity

NVIDIA; Washington; On-site; USD 224,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a passionate Software Engineer to design, develop, and productize its autonomous driving solutions. As part of the perception team, you will build world-class perception software components and work closely with researchers to improve robustness and efficiency on embedded platforms.

You will execute the full software development life cycle, write high-quality C++ and Python, and deploy DNN models to real hardware.

Qualifications

• BS, MS or PhD in Computer Science or related fields (or equivalent experience).
• 12+ years of proven embedded real-time software experience.
• Strong programming skills in C++ and Python.
• Experience with test-driven development.
• Proficiency with software engineering tools.
• Ability to document requirements and specifications.
• Excellent communication and collaboration in a tight-knit team.

Responsibilities

• Execute full software development life cycle (SDLC).
• Write well-designed, testable code.
• Integrate perception software components into a fully functional software system.
• Develop software verification plans and quality assurance procedures.
• Document and maintain software functionality.
• Solve, debug and upgrade existing systems.
• Deploy state-of-the-art perception DNN models to embedded platforms.
• Analyze and improve the system using real and synthetic benchmark data.

Skills

C++

Python

Embedded real-time experience

Test-driven development

Software design discipline

Communication skills

Education

BS, MS or PhD in Computer Science or related fields

Tools

CUDA

TensorFlow

PyTorch

Software engineering tools

Job description

NVIDIA is seeking a passionate Software Engineer to design, develop, and productize its autonomous driving solutions. As part of the perception team, you will build world-class perception software components and work closely with researchers to improve robustness and efficiency on embedded platforms.

You will execute the full software development life cycle, write high-quality C++ and Python, and deploy DNN models to real hardware.