Senior Staff Software Engineer, Aeva
C++
$192.3-260.2k
Office located in Mountain View, CA
4DLiDAR for autonomous naviation
Be an early applicant
4DLiDAR for autonomous naviation
201-500 employees
Be an early applicant
$192.3-260.2k
Office located in Mountain View, CA
201-500 employees
Company mission
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.
Role
Who you are
- 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
Desirable
- 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
What the job involves
- 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
- 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
Our take
The development of self-driving cars presents enormous opportunities for transportation, shipping, and ride-hailing industries, but getting these cars to run flawlessly is difficult. Cameras and radar sensors are used to detect obstacles for safe automated driving, but existing technology does not analyze enough data to meet these expectations.
Aeva builds sensory perception technology that maps the physical world around a vehicle on a granular basis to contribute towards the development of fully self-driving cars. The sensory system relies on what the company describes as being the world’s first 4D LiDAR-on-Chip. This technology comprises sensors that detect objects and events up to 300m away, recognize velocity-per-pixel, and are immune to interference from neighbouring frequencies.
Companies such as Tesla are already developing successful and safe fully self-driving software for their cars, but Aeva's approach to LiDAR presents some serious competition to the existing camera-based technology. Despite further competition from Luminar and Velodyne, Aeva remains unique and has even secured a partnership with NVIDIA to integrate its 4D LiDAR into the DRIVE Hyperion autonomous vehicle platform, placing its technology at the core of how future self-driving cars will see, understand, and safely navigate the road.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
5% employee growth in 12 months
Company
Funding (2 rounds)
Oct 2018
$45m
SERIES A
Jan 2017
$3.5m
SEED
Total funding: $48.5m
Company HQ
Mountain View, CA
Leadership
Soroush Salehian
(Co-Founder & CEO)Studied Mechanical Engineering at Stanford before founding BlueLibris in June 2010. They then spent almost 5 years as an Apple Product Development Manager before co-founding Aeva in January 2017.
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