Sensor Sim - ML Engineer

Applied Intuition; Sunnyvale (CA); On-site; USD 125,000 - 222,000; Full time

Benefits offered by this job

Comprehensive health insurance

401k with employer match

Learning and wellness stipends

Paid time off

Job summary

A leading tech company in Sunnyvale, CA is seeking a Software Engineer to work on advanced machine learning techniques in sensor simulation. The ideal candidate will have a Bachelor's in Computer Science, 5+ years of experience, and a deep understanding of machine learning. Responsibilities include driving the development of innovative solutions, collaborating with various teams, and focusing on customer-impacting projects. Competitive compensation ranges from $125,000 to $222,000 annually, along with comprehensive benefits.

Qualifications

• 5+ years of experience building software components for machine learning.
• Hands-on experience with evaluation and optimization for large generative models.
• Deep understanding of machine learning foundations and techniques.

Responsibilities

• Drive research and development of machine learning techniques into sensor simulation.
• Work closely with modeling teams to build innovative approaches.
• Focus on projects with production value and customer impact.

Skills

Machine learning techniques

Software development

Data optimization

3D geometry understanding

Education

Bachelor's degree in Computer Science or Software Engineering

Tools

Generative World Models

Robotics simulation products

Job description

Meet our software engineers!

Meet some of our software engineers who are shaping the future of autonomy and delivering world-class solutions helping customers shorten time to market. Hear about what brought them to Applied Intuition, what’s kept them interested, and their advice to potential candidates.

About the role

We are looking for a software engineer to join our team working on the incorporation of modern machine learning approaches into production-grade sensor simulation. In this role you will work with our research team to apply state of the art approaches to model worlds and sensors such as Lidars, Radars and Cameras.

At Applied Intuition, you will:

• Drive research, development and deployment of generative and other machine learning techniques into our sensor simulator.
• Work closely with rendering and physics-based modeling teams to build novel approaches fusing the best of all techniques.
• Focus on projects with a clear path to production value and customer impact.

We\'re looking for someone who has:

• A Bachelor\'s degree in Computer Science, Software Engineering, or equivalent
• 5+ years of experience building software components or (sub) systems that address real-world machine learning challenges
• A passion for turning their domain expertise into tooling that boosts the productivity of teams working on various real-world applications of autonomous systems
• Hands-on experience with evaluation and optimization for large generative models
• Hands-on experience with agentic system design
• Deep understanding of machine learning foundations who can apply various techniques to new problems
• Understanding of 3D geometry, optical flow or video generation

Nice to have:

• Experience working with Generative World Models (Cosmos, UniSim, sora-style architectures)
• Experience with robotics simulation products (IssacSim, MuJoCo, Omniverse, USD)
• Experience with applying synthetic data to machine learning tasks
• Hands on experience with characterization of models for Lidar, Radar, and Camera

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is:$125,000 - $222,000 USD annually.