Staff, ML Engineer - Scene Generation (Autonomous Driving)

TL;DR

Staff, ML Engineer - Scene Generation (Autonomous Driving): Building neural-rendering and generative-model systems for camera, LiDAR, and radar simulation in an autonomous-truck data-driven simulator with an accent on production ML infrastructure, sensor fidelity, and scalable validation. Focus on translating research in neural radiance fields, 3D Gaussian splatting, diffusion models, and flow matching into production software while leading technical direction for the Scene Generation team.

Location: Remote within the United States; Ann Arbor, Michigan is listed as the location.

Salary: $249,600–$299,500 USD annually, plus bonus and stock options.

Company

hirify.global develops software for autonomous trucks as part of the Daimler family, focusing on commercializing automated driving technology.

What you will do

• Set the technical vision, roadmap, architecture, and priorities for the Scene Generation team.
• Lead development of neural-rendering and generative-model approaches for camera, LiDAR, and radar simulation.
• Translate research advances into scalable, production-quality software for autonomous-driving training and validation.
• Own the neural-rendering framework from research and design through testing, cloud integration, deployment, and scaling.
• Drive technical alignment with peer teams and leadership across the autonomous-vehicle organization.
• Mentor engineers and contribute to hiring, onboarding, and career development.

Requirements

• Advanced experience in computer science, robotics, electrical engineering, or a related field, with 5–10+ years of relevant experience depending on degree level.
• Strong Python and PyTorch experience, including production software delivery and technical-team leadership.
• Expertise in neural rendering, including Neural Radiance Fields and 3D Gaussian Splatting, plus generative models such as diffusion models and flow matching.
• Background in computer vision, computer graphics, 3D reconstruction, or 3D computer vision.
• Experience with autonomous-driving or robotics data across cameras, LiDAR, and radar, including multiple timestamps and sensor modalities.
• Experience with cloud-based ML development environments, VDI, technical ownership, consensus building, and mentoring engineers.

Nice to have

• CUDA programming for efficient large-scale rendering.
• Publications in leading computer vision, AI, or graphics conferences or journals.
• MLOps and infrastructure experience with tools such as Ray.
• Experience with 3D labeling, calibration, sensor-simulation pipelines, or formal people management.

Culture & Benefits

• Collaborative, energetic, and team-focused work environment.
• Competitive compensation with bonus and stock options.
• 100% company-paid medical, dental, and vision premiums for full-time employees.
• 401(k) plan with a 6% employer match.
• Flexible scheduling, generous paid vacation available immediately after starting, AD&D, and life insurance.