Software Engineer, Wayve
Cloud Services (Map & Route)
2-5 days a week in office
Autonomous mobility driven by AI
Be an early applicant
Autonomous mobility driven by AI
201-500 employees
Be an early applicant
2-5 days a week in office
201-500 employees
Company mission
To reimagine autonomous mobility through embodied intelligence.
Role
Who you are
- Microservices and Cloud Expertise: At least 3 years of experience in building and deploying cloud-based microservices, particularly in a Kubernetes environment
- Kubernetes and Azure: Proficiency in working with Kubernetes and deploying services to Azure, including managing CI/CD pipelines and optimizing deployments for performance
- Programming Skills: Strong programming skills in languages such as Python, C++, or Rust, with a focus on creating efficient, scalable, and maintainable code. This role will require you to work across multiple programming languages
- API Design and Integration: Experience designing RESTful APIs and ensuring consistency across distributed systems, ideally involving both cloud and embedded use cases
- Cross-functional Collaboration: Strong communication skills and experience working with multiple stakeholders, including embedded engineers, data scientists, and cloud infrastructure teams
- Mapping and GIS Technologies: Experience with mapping technologies or Geographic Information Systems (GIS) is a significant plus
- We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply
Desirable
- Embedded Systems Experience: Exposure to IoT or embedded environments is a plus, as it will aid in collaborating effectively with the embedded side of the team
What the job involves
- As a Microservices Software Engineer within the Map and Routing team, you'll be responsible for designing and implementing cloud-based microservices that provide map and routing services for both onboard and offboard use cases
- You will work closely with the embedded side of the team to ensure consistent APIs and seamless integration between onboard vehicle systems and cloud infrastructure
- Your work will play a crucial role in enabling our autonomous vehicles and offline systems to efficiently utilize mapping data for training, validation, and real-time navigation
- This is an opportunity to shape key cloud services that are critical for scaling our technology globally
- Microservices Development: Design and implement cloud-based microservices that provide map and routing services to support training, evaluation, and onboard vehicle needs
- API Consistency: Collaborate with the embedded software team to develop consistent APIs for both embedded and cloud services, ensuring a unified approach across Wayve's systems
- Cloud Deployment: Create and deploy microservices to a Kubernetes-based cloud environment hosted in Azure, optimizing for reliability, scalability, and performance
- Cross-functional Collaboration: Work with various teams, including Embodied AI, Evaluation & Validation, and Onboard Software, to gather requirements and ensure that services meet the diverse needs of internal stakeholders
- Mapping and GIS Technologies: Apply mapping and Geographic Information System (GIS) technologies to enhance the quality and functionality of the routing services
Salary benchmarks
Our take
Wayve is developing artificial intelligence (AI) that teaches cars to drive autonomously using reinforcement learning, simulation, and computer vision. Wayve’s core premise is that the big breakthrough in self-driving cars will come from better AI brains rather than more sensors or “hand-coded” rules which it believes are highly restrictive and not at all scalable.
The company said that it trains its autonomous driving system using simulated environments and then transfers that knowledge into the real world, where it emulates how humans adapt to conditions in real time. It ultimately relies on end-to-end deep learning AI rather than hard-engineered AI. This is one of the world's hardest problems to solve, but Wayve has made an exciting start and is taking a very different approach to competitors like Uber and Waymo, who are relying more on sensors.
Following a few years of innovative breakthroughs, Wayve now has backing from high-profile investors such as Microsoft and angels, including Uber's chief scientist Zoubin Ghahramani and Pieter Abbeel, a UC Berkeley robotics professor and pioneer of deep reinforcement learning. The company's strategic partnerships with outfits like Asda and Ocado to test-run autonomous deliveries, as well as publicity through the Minister is a show of confidence in the future of Wayve's solution to autonomous driving.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Some candidates hear
back within 2 weeks
28% female employees
24% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
May 2024
$1.1bn
SERIES C
Jan 2022
$200m
SERIES B
Total funding: $1.3bn
Company benefits
- Learning budget
- In-house chef
- Flexible Working
- Private health insurance and therapy
- Workplace nursery scheme
- Onsite bar
- Large social budgets
- Enhanced parental leave
Company values
- Pave new roads, explore unknown horizons: We take calculated risks and embrace unknown territory
- Leave positive tracks: A big reason for working on autonomous vehicles is for the positive impact they can have to the environment, the lives they will save, the opportunities they will create for others and more!
- Autonomous in thought, collective in action: We are built of strong, curious individuals coming from all walks of life, but who, together, want to achieve a common goal.
- Drive each other forward: We are a company that stands strong upon the foundation which it has created. This foundation is the team, the individuals who make Wayve, Wayve.
Company HQ
London, UK
Articles
Leadership
Alex Kendall
(CEO)Has a PhD from Cambridge in Computer Vision & Robotics. Previously Research Engineer at Skydio and Advisor to Scape Technologies
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