Senior Software Engineer - Simulation Orchestration

About the role

As a senior software engineer on the Simulation Orchestration team, you will own the compute platform that Applied Intuition's autonomy products run on. Our customers, and our own internal self-driving programs, run millions of simulations to validate every change to their self-driving stack - throughput is directly how fast they ship. From that foundation, the team is expanding to own on-demand compute scheduling and capacity management across Applied: one platform, any workload, any environment. At Applied Intuition, you will: Develop a multi-environment compute platform for workload scheduling, resource allocation, and node lifecycle. Collaborate with customers and internal teams to translate compute needs into platform features. Solve distributed systems challenges including GPU scheduling, autoscaling, and resource efficiency. Ensure high reliability and scalability for production simulation systems. Drive architecture decisions to expand simulation orchestration into a company-wide compute platform. We're looking for someone who has: 5+ years of backend engineering experience, with a track record of owning production distributed systems. 4+ years of coding in Golang, Python, Java, or C++. 4+ years building complex backend systems on major cloud providers. Deep Kubernetes expertise, including pod scheduling, node lifecycle, and autoscaling under load. Experience building or operating workload scheduling systems (e.g., dispatch, bin-packing, quota enforcement). Self-starter with experience driving production system development from 0 to 1.

Requirements

• Experience scheduling GPU workloads or managing GPU capacity at scale.
• Multi-cloud (AWS, OCI, GCP, Azure) or on-prem Kubernetes deployments.
• Experience managing multi-cluster environments using Infrastructure as Code .
• Experience building custom Kubernetes controllers or operators.
• Experience with cloud cost optimization strategies for high-scale compute workloads.
• 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: $153,000 - $220,000 USD annually.
• Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
• Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by refe

Benefits

Additional Information

About Applied Intuition Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company's solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co . We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.

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