Backend Software Engineer

Applied Intuition
Sunnyvale, CA, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$153,000.0 - $222,000.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Software as a Service Cloud Computing Persistent Data Structure Serialization Web Development Distributed Systems Failover Protocol Buffers Design of User Interfaces
+24 more
Human-Computer Interaction Python (Programming Language) NoSQL Systems Development Life Cycle Redis Windows Remote Assistance Session Management Software Engineering SQL Databases Data Streaming Web Services Scripting Backend Containerization Kubernetes Information Technology Real Time Data Data Management Stream Processing Oracle Cloud Infrastructure Data Pipelines Docker Programming Languages Microservices

Job description

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.

At Applied Intuition, you will:

  • 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.

Requirements

  • Bachelors degree in Computer Science or a related field.
  • 2+ 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 NoSQL databases (e.g., Redis)., Affirmative Action, Agriculture, Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Automotive Repair and Maintenance, Cloud Computing, Code of Federal Regulations, Computer Science, Computer Workstations, Construction, Data Management, Failover, Federal Contracts, Federal Laws and Regulations, Leadership, Mining Industry, NoSQL, Operating Systems, Programming Languages, Python Programming/Scripting Language, Redis, Regulations, SQL Databases, Scalable System Development, Schedule Development, Software Engineering, Software as a Service (SaaS), Technical Support, Trucking, United States Military, User Interface/Experience (UI/UX), Web Programming

Benefits & conditions

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, 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: $153,000 - $222,000 USD annually.

About the company

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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