Aeva’s mission is to bring the next wave of perception to a broad range of applications from automated driving to industrial robotics, consumer electronics, consumer health, security, and beyond. Aeva is transforming autonomy with its groundbreaking sensing and perception technology that integrates all key LiDAR components onto a silicon photonics chip in a compact module. Aeva 4D LiDAR sensors uniquely detect instant velocity in addition to 3D position, allowing autonomous devices like vehicles and robots to make more intelligent and safe decisions. We are looking for a Staff Software Engineer, C++ to lead the design and development of Aeva’s core software infrastructure for 4D LiDAR products. This is a highly technical, hands-on role focused on building reliable, efficient, and scalable systems that power Aeva’s software stack. This role is ideal for someone who is exceptional in modern C++, understands large software architectures, and can own critical infrastructure used across multiple engineering teams.
Responsibilities
Design, build, and maintain core C++ infrastructure used across Aeva’s software platforms.
Own architecture for large-scale, performance-critical systems with a focus on reliability, maintainability, and long-term scalability.
Lead development of foundational libraries, runtime components, data pipelines, APIs, SDK components, and system-level services.
Optimize software for latency, throughput, memory usage, concurrency, and CPU/GPU efficiency.
Drive technical decisions across teams and provide clear guidance on tradeoffs, design patterns, interfaces, and system boundaries.
Mentor senior and mid-level engineers through design reviews, code reviews, debugging sessions, and technical planning.
What you have
BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or a related technical field.
10+ years of professional software engineering experience in modern C++.
Strong systems programming background, including Linux development, networking, IPC, file I/O, process management, and performance debugging.
Experience building production-quality infrastructure used by multiple teams or products.
Ability to reason about latency, throughput, memory usage, cache behavior, and algorithmic complexity.
Strong debugging skills across application, system, and integration layers.
Excellent written and verbal communication skills, with the ability to explain complex technical decisions clearly.
Nice-to-have
Experience with SDKs, APIs, middleware, data streaming, visualization tools, or real-time data processing.
Experience with Bazel or similar modern build systems.
Experience with CUDA, GPU acceleration, SIMD, zero-copy data movement, or high-throughput data pipelines.
Experience with networking protocols, packet capture, serialization formats, and distributed systems.
Experience with safety-critical, automotive, or embedded software development.
