Senior Software Engineer – Neural Rendering

About Applied Intuition

Applied Intuition is powering the future of Physical AI.

Founded in 2017 and valued at $15 billion, Applied Intuition develops the digital infrastructure needed to bring intelligence to every moving machine on the planet. The company serves the automotive, defense, trucking, construction, mining, and agriculture industries across three core areas:

• Tools & Infrastructure

• Operating Systems

• Autonomy

Eighteen of the world's top 20 automakers, along with the United States military and its allies, rely on Applied Intuition's solutions to deliver physical intelligence.

Headquartered in Sunnyvale, California, Applied Intuition maintains offices in:

• Washington, D.C.

• San Diego, California

• Fort Walton Beach, Florida

• Ann Arbor, Michigan

• London, United Kingdom

• Stuttgart, Germany

• Munich, Germany

• Stockholm, Sweden

• Bangalore, India

• Seoul, South Korea

• Tokyo, Japan

Learn more at applied.co.

Work Environment

Applied Intuition is an in-office company. Employees are expected to work primarily from their assigned office five days per week.

The company also recognizes the importance of flexibility and trusts employees to manage their schedules responsibly. This may include occasional remote work, beginning the day with meetings from home before commuting to the office, or adjusting schedules to accommodate personal and family commitments.

About the Role

We are seeking a senior-level engineer with strong expertise in:

• Real-time rendering systems

• Neural graphics and neural scene representations

• High-performance C++ and CUDA development

• CPU and GPU optimization

This role sits at the intersection of traditional graphics engines and neural rendering systems, with a focus on scaling performance for large, real-time simulation workloads.

Engineers at Applied Intuition are expected to:

• Own technically complex systems end-to-end

• Make architecture-level decisions

• Collaborate closely with internal and external stakeholders

• Influence product direction and engineering culture

What You'll Do

• Own the development and optimization of neural rendering systems, including 3D Gaussian-based scene representations and other learned scene representations across multiple products and sensor modalities.

• Design and scale GPU pipelines using CUDA for neural scene training, inference, and real-time rasterization.

• Optimize data layouts, memory movement, synchronization strategies, and GPU kernel performance.

• Architect and optimize multi-threaded C++ systems for scene management, streaming, scheduling, and CPU-side orchestration of neural and hybrid rendering workloads.

• Research, prototype, and productionize state-of-the-art neural rendering and reconstruction techniques.

• Integrate neural rendering outputs with existing simulation and rendering infrastructure, including physically based rendering (PBR) components where appropriate.

• Build internal tooling, benchmarking systems, profiling infrastructure, and CI-based performance regression tracking for neural rendering pipelines.

Required Qualifications

• 4+ years of industry or research experience in neural rendering, neural 3D simulation, graphics, computer vision, or performance-critical GPU systems.

• Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.

• Hands-on experience with neural scene representations, including:

  • 3D Gaussian Splatting

  • Neural Radiance Fields (NeRFs)

  • Learned volumetric representations

  • Learned surface representations

• Strong GPU programming skills, including CUDA and/or shader development.

• Deep understanding of CPU-GPU coordination for training and inference workloads.

• Strong experience optimizing multi-threaded C++ applications, including:

  • Task systems

  • Synchronization

  • Memory management

  • Cache optimization

• Strong performance debugging, profiling, and system optimization skills across both CPU and GPU environments.

Preferred Qualifications

• Publications or significant technical contributions in:

  • Neural Rendering

  • Novel View Synthesis

  • 3D Reconstruction

• Experience productionizing research-grade neural graphics systems into real-time applications.

• Familiarity with differentiable rendering or differentiable simulation frameworks.

• Experience designing or optimizing real-time ray tracing systems.

• Familiarity with autonomy-related sensors and simulation pipelines, including:

  • Cameras

  • LiDAR

  • Radar

  • Ultrasonic Sensors

Compensation & Benefits

Compensation may include:

• Base Salary

• Equity (Stock Options and/or RSUs)

• Health Insurance

• Dental Insurance

• Vision Insurance

• Life Insurance

• Disability Insurance

• 401(k) with Employer Match

• Learning Stipends

• Wellness Stipends

• Paid Time Off

Benefits may vary by location and are subject to change.

Salary Range

$150,000 – $250,000 USD annually

Actual compensation is determined based on:

• Experience

• Education

• Certifications

• Technical Expertise

• Interview Performance

• Scope and Level of Responsibility

Equal Opportunity Employer

Applied Intuition is an Equal Opportunity Employer and federal contractor/subcontractor.

The company prohibits discrimination based on:

• Race

• Color

• Religion

• Sex

• Sexual Orientation

• Gender Identity

• National Origin

• Disability Status

• Protected Veteran Status

Applied Intuition complies with all applicable federal equal employment opportunity regulations and affirmative action requirements.

Don't Meet Every Requirement?

If you're excited about this role but your experience doesn't perfectly match every qualification, we encourage you to apply. You may be a great fit for this position—or another opportunity within Applied Intuition.