Software Engineer, AV Frameworks – Early Career
About The Position
As an early career Software Engineer on the AV Frameworks team, you will design and deliver the core communication and runtime building blocks used by AV/Robotics applications on vehicles, on benches, and in simulation. You’ll work across C++ systems, Linux, and networking/IPC to achieve low-latency messaging, deterministic scheduling, and production-grade reliability at scale. This role is designed for a recent graduate or engineer early in their career who wants to build depth in embedded systems, distributed software, vehicle platforms, and autonomous driving technology. You will learn from experienced engineers while contributing meaningful code to systems that must be dependable, observable, and maintainable. You will develop a systems-level understanding as you learn how individual applications, compute elements, and data flows interact. Over time, you will turn that understanding into clear abstractions and design guidance that inform how other developers build vehicle software.
Requirements
- Recently completed a BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Robotics, or a degree in a related field.
- Strong background in modern C++ (20/23) and Python development, demonstrated through coursework, internships, research, or substantial projects.
- Strong grasp of software fundamentals including concurrency, memory management, lock-free or low-contention patterns, and performance profiling.
- Hands-on experience with IPC/messaging systems and distributed systems fundamentals (serialization, backpressure, flow control, QoS).
- Knowledge of linux-based networking (sockets, TCP/UDP, multicast, NICs, buffers, MTU, packetization).
- Ability to debug complex software problems, reason about system behavior, and communicate clearly in a collaborative team environment.
- Interest in autonomous vehicles, robotics, embedded systems, or high-performance software.
Nice To Haves
- Robotics/AV middleware: ROS 2, DDS, gRPC.
- Serialization and data: Protobuf, FlatBuffers, Cap’n Proto, zero-copy techniques.
- Real-time Linux and systems constraints (scheduling, CPU isolation, priority inversion mitigation, bounded latency).
- Prior internship, research, or project experience in autonomous driving, robotics, embedded systems, AI/ML infrastructure, or platform software.
- Degree completed between December 2025 and August 2026, with availability to begin employment in 2026.
Responsibilities
- Build and debug high-performance IPC and middleware primitives (publish/subscribe, shared memory, serialization, discovery, QoS).
- Drive latency, throughput, and determinism improvements through profiling, tracing, benchmarking, and targeted optimizations.
- Build developer-facing APIs, tooling, and documentation that improve ergonomics, correctness, and velocity for internal customers.
- Deliver platform-ready components with observability (metrics, logs, traces), robust fault handling, and reproducible performance characteristics.
- Work alongside experienced engineers platform OS, drivers, safety, controls, perception, and tooling teams to ramp up on AV software.
- Apply production rigor: code reviews, testing strategies (unit, integration, soak), performance and regression gates, and rollout/rollback discipline.
- Grow through progressively more complex assignments spanning design, implementation, integration, and testing.
Benefits
- Relocation benefits
- Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
