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 collaborative culture.
- Other info: Dynamic team environment with opportunities for growth and learning.
- Why this job: Make a real impact on the future of automated driving with innovative tech.
- 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.
Senior Software Engineer, Cloud, Simulation in London employer: Gravity Engineering Services Pvt Ltd.
Wayve is an exceptional employer that champions innovation and collaboration in the field of Embodied AI technology. With a hybrid working policy that promotes flexibility and a culture of inclusivity, employees are empowered to tackle complex challenges while contributing to groundbreaking advancements in automated driving. The company prioritises professional growth and values diverse perspectives, making it an ideal place for those seeking meaningful and rewarding careers in a dynamic environment.
Contact Details:
Gravity Engineering Services Pvt Ltd. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer, Cloud, Simulation in London
✨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 lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects related to simulation or AI, make sure to highlight them. We love seeing what you can do beyond just a CV.
✨Tip Number 3
Prepare for technical discussions! Brush up on your Python and Kubernetes knowledge, and be ready to discuss how you’d tackle challenges in simulation. We want to see your problem-solving skills in action!
✨Tip Number 4
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 being part of the Wayve team!
We think you need these skills to ace Senior Software Engineer, Cloud, Simulation in London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and autonomous driving shine through. We love candidates who are excited about tackling complex challenges and pushing the boundaries of technology, so share your experiences that reflect this passion!
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter to highlight your relevant skills and experiences. Focus on your expertise in Python, Kubernetes, and any experience with simulation or robotics. This helps us see how you fit into our vision at Wayve.
Be Clear and Concise:Keep your application clear and to the point. Use straightforward language to describe your achievements and technical skills. We appreciate well-structured applications that make it easy for us to understand your qualifications.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at Wayve!
How to prepare for a job interview at Gravity Engineering Services Pvt Ltd.
✨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 performance issues in the past. This role is all about technical expertise, so show them you’ve got it!
✨Showcase Your Problem-Solving Skills
Wayve loves tackling big challenges, so come prepared with examples of complex problems you've solved in previous roles. Think about how you approached these issues, what solutions you implemented, and the impact they had. This will demonstrate your ability to thrive in a fast-paced environment.
✨Communicate Clearly
Excellent communication is key, especially when working cross-company. Practice explaining your technical ideas in a way that’s easy to understand. You might be asked to lead discussions or guide technical direction, so being articulate will set you apart from other candidates.
✨Embrace the Culture
Wayve values diversity and an inclusive work environment, so be sure to express your appreciation for different perspectives. Share how you’ve contributed to a positive team culture in the past, and show that you’re excited about being part of a collaborative team that aims high while staying humble.
