Staff / Principal Engineer - US

Years of Experience: 7+ Years

Vayavya Labs builds embedded software and firmware for the semiconductor and automotive industries, with deep expertise in low-level device software, driver automation, and safety-critical systems. Our engineers work close to the metal — from silicon bring-up to production firmware — and increasingly at the compute and networking layer that connects autonomy software to the vehicle’s hardware platforms. This is a role for a technical leader who wants to shape that stack end-to-end.

About the Role

We are looking for a Staff/Principal Engineer to architect and lead the design of the vehicle compute and networking stack — the modular, scalable interface between autonomy software and the underlying hardware platforms. You will own the technical roadmap for hardware health monitoring and fleet-wide performance optimization, set the engineering standards that keep our platforms fast and dependable, and provide deep technical oversight across software, hardware, and systems teams.

This is a hands-on leadership position. You will still be in the code and on the bench for the hardest problems — from Linux kernel tuning to multi-layer networking — while mentoring senior engineers and driving architectural decisions that scale across the fleet.

What You’ll Do

• Architect and lead the design of the vehicle compute and networking stack, ensuring a modular, scalable interface between autonomy software and hardware platforms.
• Drive the technical roadmap for hardware health monitoring and fleet-wide performance optimization.
• Lead cross-functional integration of new sensors and embedded devices, and define standards for low-latency data interfaces.
• Establish engineering standards for Hardware-in-the-Loop (HIL) testing and automated performance profiling.
• Provide technical oversight on complex system-level issues spanning Linux kernel tuning, high-performance C++, and multi-layer networking (OSI Layers 1–4).
• Define the architecture for on-target diagnostics and self-test — CPU, communication, and memory load generation, power-on self-tests, controlled shutdown/sleep sequences, voltage-fault detection with safe-state entry, and memory/logic BIST — and set standards for how these are triggered, monitored, and reported across ECUs.
• Establish standards for communication bus health and error monitoring across CAN and Ethernet, including link integrity, cable faults, and signal-integrity detection, with fleet-level logging and reporting.
• Mentor senior engineers and raise the technical bar for design, code quality, and system reliability across teams.

What You’ll Bring

• 7+ years of software engineering experience, including leading large-scale architecture at the hardware/software interface.
• Expert-level C++ for high-performance, thread-safe, memory-efficient Linux systems.
• 5+ years of system-level development: Linux networking stacks, performance profiling, and hardware bring-up.
• Deep command of networking protocols across the stack — low-level (CAN, UDP, TCP) and high-level (gRPC, RTP,
• Demonstrated cross-functional leadership across software, hardware, and systems teams, with a track record of shipping complex platforms.
• Strong systems-debugging instincts — the ability to reason across the boundary from application code down to kernel, driver, and hardware behavior.

Nice to Have

• Experience with autonomy sensors — lidar, radar, and camera — and their integration into low-latency data pipelines.
• Time-Sensitive Networking protocols (PTP / gPTP) and Ethernet switching.
• Functional safety frameworks such as ISO 26262.
• Heterogeneous compute performance optimization across CPU, GPU, and accelerators.
• Networking certifications.
• Experience building distributed fleet health-monitoring frameworks.

Why Join Us

You’ll set the technical direction for the compute and networking backbone of autonomous-vehicle platforms — work that spans silicon to fleet, and code to architecture. It’s a role for an engineer who wants both the ownership of a principal-level mandate and the satisfaction of solving the deepest system-level problems on real hardware.