Senior Software Engineer - Backend Remote Assistance

Mountain View, California, United States

Applied Intuition is the vehicle intelligence company that accelerates global adoption of safe, AI‑driven machines. Founded in 2017 and now valued at $15 billion following its recent Series F funding round, Applied Intuition delivers the Vehicle OS, Self‑Driving System, and toolchain to help customers build intelligent vehicles and shorten time to market. Eighteen of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition’s solutions to deliver vehicle intelligence.

Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Bangalore, Seoul, and Tokyo.

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.

As a Backend Software Engineer on the Remote Assistance team, you will be responsible for designing, building, and maintaining the core services and infrastructure that power our remote assistance platform. Your work will involve creating the APIs, data pipelines, and backend systems that handle real‑time data streaming, command processing, and communication with both the autonomous vehicles and the human operator workstations.

This is a high‑impact role where you will be instrumental in making autonomous trucking a reality by ensuring a reliable and scalable backend.

• Design, develop, and deploy scalable, low‑latency backend services for remote assist session management and real‑time data streaming.
• Architect and implement the cloud infrastructure for remote assistance including technologies like protobuf, gRPC across multiple AWS regions.
• Design and implement the service data persistence layer using No
  
  SQL databases like Redis.
• Implement data pipelines to ingest, process, and store real‑time data from autonomous vehicles.
• Collaborate closely with onboard software teams and front‑end engineers to ensure seamless end‑to‑end data flow.
• Ensure the security, reliability, and resilience of the backend platform, including handling network disruptions and failover.
• Optimize data serialization and transmission to minimize latency and bandwidth usage on the server side.

• Bachelor’s degree in Computer Science or a related field.
• 5 + years of professional experience in web services software development and cloud infrastructure.
• Strong proficiency in a backend programming language such as Go and Python.
• Experience with distributed systems, microservices, and building scalable backend applications.
• Experience with cloud platforms (AWS, GCP, or OCI) and containerization (Docker, Kubernetes).
• Hands‑on experience with No
  
  SQL databases (e.g., Redis).
Nice to have:
• Experience leading projects end‑to‑end.
• Experience in a startup or fast‑paced environment.

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,…