At a Glance
- Tasks: Join Wayve to develop cutting-edge simulation technology for autonomous driving.
- Company: Wayve, a leader in Embodied AI technology since 2017.
- Benefits: Hybrid working policy, flexible hours, and a culture of innovation.
- Other info: Inclusive environment that values diversity and unique perspectives.
- Why this job: Make a real impact on the future of self-driving cars with your skills.
- Qualifications: 5+ years in software engineering, strong Python skills, and experience with Kubernetes.
The predicted salary is between 70000 - 90000 € per year.
About us
Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career!
The role
As a software engineer for Wayve’s Simulation Technology team, you will be an expert software engineer who evolves a core component of Wayve’s simulation platform, which is used to develop and evaluate Wayve’s driving intelligence. Wayve’s approach to autonomous driving presents unique challenges for simulation. Our end to end driving stack requires a simulator that is both highly realistic and highly descriptive. Our approach to simulation brings together a combination of classical simulation techniques with cutting edge developments in machine learning to represent the real world in high fidelity at scale. You will be responsible for shaping and implementing the technical roadmap in one of three key areas: robot emulator fidelity, visual fidelity, or efficient scaling. You will be working closely with our robotics, research, platform, and data teams, as well as the rest of the Simulation Technology team to ensure that our simulation platform meets the needs of our end-users by providing accurate, scalable, and high‑signal simulations.
Challenges you will own
- Own key performance indicators (KPIs) for simulator cost, SLOs, throughput, latency, etc.
- Work cross-company on aligning technical dependencies for simulator implementation
- Lead technical discussions and guide technical direction
- Effectively integrate the components of the simulated robot into the simulation platform
- Effectively integrate machine‑learned graphics subsystems into the simulation platform
- Implement production quality software in Python
About you
Essential
- Experience with workflow orchestration systems (e.g. Airflow, Dagster, Flyte, etc.) and/or developing data intensive applications
- Excellent development skills in Python
- Deep knowledge of Kubernetes at the user level
- Good sense of systems and data oriented software engineering design – what makes code reusable and extensible
- Understanding of common software performance issues and design tradeoffs
- 5+ years of industry experience designing and programming software
- Excellent communication and people engagement skills
Desirable
- Experience in the field of autonomous vehicles or robotics
- Proficiency with other programming languages like Go or C++
- Experience scaling simulations or data intensive workloads
- Experience with design, implementation, and optimization of large‑scale machine learning inference systems running in cloud GPU environments
- Experience operating and scaling modern machine learned graphics techniques (NeRF, Gaussian Splatting, or GenAI)
This is a full‑time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. 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.
At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.
Senior Software Engineer, Cloud, Simulation employer: Icehouseventures
Wayve is an exceptional employer that champions innovation and inclusivity in the heart of London. With a hybrid working policy that promotes flexibility, employees enjoy a collaborative culture where their contributions are valued and encouraged. The company prioritises professional growth, offering opportunities to tackle complex challenges in the rapidly evolving field of autonomous driving, making it a rewarding place for those passionate about technology and its impact on the future.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer, Cloud, Simulation
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at Wayve. A friendly chat can sometimes open doors that applications can't.
✨Tip Number 2
Show off your skills! If you’ve got a project or a portfolio that showcases your coding prowess, make sure to share it during interviews. It’s a great way to demonstrate your expertise beyond just words.
✨Tip Number 3
Prepare for technical discussions! Brush up on your Python and Kubernetes knowledge, and be ready to tackle real-world problems. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Wayve team.
We think you need these skills to ace Senior Software Engineer, Cloud, Simulation
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for autonomous driving and AI shine through. We want to see how your interests align with our mission at Wayve, so don’t hold back on sharing what excites you about this field!
Tailor Your CV:Make sure your CV is tailored to the role of Senior Software Engineer. Highlight your experience with Python, Kubernetes, and any relevant projects that showcase your skills in simulation technology. We love seeing how your background fits with our needs!
Be Clear and Concise:Keep your application clear and to the point. Use straightforward language to describe your experiences and achievements. We appreciate clarity, and it helps us understand your qualifications better!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Icehouseventures
✨Know Your Stuff
Make sure you brush up on your Python skills and any relevant frameworks like Kubernetes. Be ready to discuss your experience with workflow orchestration systems and how you've tackled data-intensive applications in the past.
✨Show Your Problem-Solving Skills
Wayve loves tackling big challenges, so come prepared with examples of complex problems you've solved in your previous roles. Think about how you can demonstrate your ability to integrate machine learning techniques into simulation platforms.
✨Communicate Clearly
Excellent communication is key! Practice explaining technical concepts in a way that's easy to understand. Be ready to engage in discussions about technical direction and how you can contribute to the team’s goals.
✨Embrace the Culture
Wayve values diversity and inclusion, so show that you appreciate different perspectives. Share experiences where you've worked collaboratively in diverse teams and how you’ve contributed to an inclusive environment.
