Senior / Staff Software Engineer, Waabi
Mapping
$141-242k
+ Equity
AI-powered self-driving technology
Be an early applicant
AI-powered self-driving technology
201-500 employees
Be an early applicant
$141-242k
+ Equity
201-500 employees
Company mission
To bring commercially viable self-driving technology to society.
Role
Who you are
- BS, MS, or PhD in Computer Scientist, Electrical Engineering, or related field, with a minimum for 5 years of industry experience
- Strong computer science fundamentals with an aptitude and willingness to quickly learn domain-specific concepts like 3D geometry and spatial data structures
- Prove ability to work across various programming languages, seamlessly bridging high-level Python development with robust systems-level engineering in C++ or Rust
- Solid experience in designing, developing, and deploying production-quality, fault-tolerant software at scale (moving well beyond prototypes/proofs of concept)
- Hands-on experience building distributed systems on modern cloud platforms
Desirable
- A true generalist mindset: you enjoy wearing multiple hats, diving into unfamiliar codebases, and picking up new technologies as the mission dictates
- Prior experience with autonomous vehicles, HD mapping, or robotics
- Familiarity with 3D geometry, geospatial systems, spatial databases, and tooling such as QGIS, GDAL, or PostGIS
- Familiarity with Machine Learning pipelines or integrating AI models into production engineering systems
- Experience with large-scale data processing systems and orchestration framework (e.g., Apache Spark, Airflow, Ray, Kafka)
- Open-minded and collaborative team player with strong willingness to help others
What the job involves
- The Mapping team at Waabi develops the foundational spatial intelligence of our autonomous fleet
- As a Senior or Staff Software Engineer on our Mapping team, you will act as a versatile, foundational builder for our highly scalable, AI-driven mapping infrastructure
- We are looking for a strong software generalist who thrives on variety, can easily pivot across different projects, and tackles complex distributed systems problems from data ingestion to real-time serving
- You will collaborate and exchange ideas with our team, which includes world-renowned engineers and scientists specializing in robotics, deep learning, computer vision, and autonomous driving
- We value original, high-impact ideas and rigorous experimental validation
- Act as a versatile engineering powerhouse, quickly ramping up on new domains and fluidly transitioning between backend pipelines, API design, and vehicle-side serving
- Be part of a multidisciplinary team of Engineers and Research Scientists using AI-first approach to create high-definition (HD) maps at scale
- Architect and build the engineering foundations of our long-term mapping infrastructure
- Build robust, scalable pipelines to automatically create, validate, maintain, and visualize massive amounts of data
- Design and develop comprehensive metrics, observability, and anomaly detection across various systems
- Partner directly with downstream customers (e.g. Perception, Motion Planning, Simulation) to capture complex requirements and implement intuitive APIs
- Engineer real-time, high-availability, and low-latency systems for fleet of self-driving vehicles
Our take
Autonomous vehicle technology is rapidly developing and many sectors are recognizing its value. However, whilst the self-driving industry has made significant advancements there is much more that can be done. There are challenges in this space surrounding scale and developing commercially viable self-driving technology.
Waabi hopes to tackle these challenges and be the leader in self-driving technology with their "AI first approach". The company said that combined with a closed-loop simulator, this approach will allow both common driving scenarios and safety-critical edge cases to be tested at scale - solving one of the key issues in the industry.
Waabi has a growing partnership with Volvo too, with is a major boost for its future. The two companies have co-developed a new Volvo VNL Autonomous truck that pairs VOlvo's purpose-built autonomy platform with Waabi's end-to-end AI driving system, sensors, and compute. Volvo has also backed Waabi financially through its venture arm, giving Waabi both manufacturing support and long-term investment. Toget, erhjtis puts Waabi in a position to scale and move towards fully driverless trucking quicker.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
81% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Jan 2026
$750m
SERIES C
Jun 2024
$200m
SERIES B
Total funding: $1.0bn
Leadership
Raquel Urtasun
(Founder & CEO)Previously worked at Uber as Chief Scientist, Head of Uber ATG R&D. Is also a professor at the University of Toronto.
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