Senior Software Engineer

Role : Senior Software Engineer

Employment Type : Full-time

Location : On-site, Mountain View, CA (5 days / week, limited remote flexibility)

Compensation : $153,000 - $222,000 base salary + equity + benefits

About the Company

This fast-growing Silicon Valley company builds simulation and infrastructure software for autonomous systems. Its products are widely used by Fortune 500 OEMs, Tier 1 suppliers, and defense organizations to accelerate the safe development, testing, and deployment of autonomy.

Founded in 2017, the company has raised over $350M from top investors (including Andreessen Horowitz and General Catalyst) and is valued above $3.5B. With offices across North America, Europe, and Asia, it's recognized as a leader in autonomy infrastructure and simulation tooling.

The Role

As a Senior Software Engineer on the ML Infrastructure team, you'll design and scale systems that support the training, evaluation, and deployment of large-scale machine learning workloads. The role blends infrastructure engineering with ML platform design, focusing on reliability, scalability, and developer productivity.

You will collaborate closely with autonomy researchers, simulation experts, and product teams to deliver end-to-end ML solutions powering mission-critical autonomy development.

Key Responsibilities

• Design, build, and scale ML infrastructure for training and evaluation pipelines.
• Develop distributed systems to manage large datasets and compute resources.
• Collaborate with applied ML and autonomy research teams to productionize new algorithms.
• Optimize workflows for simulation, evaluation, and reinforcement learning.
• Ensure reliability and performance of infrastructure in production settings.
• Contribute to cross-team initiatives that improve scalability and developer velocity.

Candidate Requirements

Tech Stack

C++, Python, PyTorch, TensorFlow, Kubernetes, distributed systems frameworks.

Culture & Opportunity

Benefits & Perks