Applied IntuitionRemote
Senior Software Engineer - Backend Remote Assistance
United States of America
Full-time
2 weeks ago
$125,000 - $222,000 USD
H1B Sponsor Likely
Key skills
Backend programming GoBackend programming PythonCloud infrastructure AWSCloud infrastructure GCPCloud infrastructure OCIDistributed systemsMicroservicesNoSQL databases (Redis)Containerization DockerContainerization KubernetesData pipelinesReal-time data streamingStartup experienceProject leadershipPythonGoSQLNoSQLAIgRPCAWSGCPKubernetesDockerRedis
About this role
Applied Intuition is a leading company in the field of physical AI, providing digital infrastructure for various industries including automotive and defense. The Backend Software Engineer on the Remote Assistance team will design, build, and maintain core services and infrastructure for a remote assistance platform, ensuring reliable and scalable backend systems for autonomous trucking.
Responsibilities:
- 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:
- 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 NoSQL databases (e.g., Redis)
- Experience leading projects end to end
- Experience in a startup or fast-paced environment