Wayve
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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 Cloud Site Reliability Engineer at Wayve, you will build and scale the reliability foundations of our AI cloud platform. This includes our Model Development Platform (powering end-to-end model development from raw data to on-road experimentation) and our GPU Compute platform (large-scale, multi-tenant GPU fleets and scheduling systems driving model training and inference at scale).
This is a founding Cloud SRE role. You won’t inherit a mature SRE function, you’ll help create it. You will define the frameworks, automation, and operational standards that ensure our model development infrastructure, distributed systems, and large compute clusters operate predictably, efficiently, and at scale.
This role sits at the intersection of AI research, large-scale cloud infrastructure, and production operations. Your work will directly enable faster model training, reliable experimentation, and scalable AI deployment by ensuring our cloud infrastructure is resilient and performant.
Key responsibilities
Reliability & Platform Ownership
- Own the reliability, availability, and performance of the Model Dev Platform and GPU Compute environments.
- Define and operationalise SLOs, SLIs, and error budgets across platform services.
- Improve capacity planning, scaling strategies, and resource efficiency across large GPU-backed clusters.
- Partner with ML, platform, and software teams to establish clear production readiness standards.
Incident Response & On-Call
- Participate in a 24/7 on-call rotation as first-line response for cloud and cluster-related incidents.
- Lead incident triage, escalation, communications, and root cause analysis.
- Translate post-incident learning into durable architectural or automation improvements.
- Continuously reduce alert noise and recurring operational burden.
Observability & Operational Excellence
- Design and operate monitoring, logging, tracing, and alerting systems that enable rapid detection and recovery.
- Build dashboards that reflect real user-centric platform health (not just infrastructure metrics).
Improve deployment safety through better change management, validation, and rollback mechanisms.
Automation & Tooling
- Build automation for cluster operations, training workflows, remediation, and scaling tasks.
- Implement self-healing patterns and resilient recovery workflows.
- Harden CI/CD and release processes to improve deployment safety and velocity.
- Support infrastructure-as-code and policy-driven guardrails to ensure secure, reliable cloud environments.
About you
In order to set you up for success as a Cloud Site Reliability Engineer at Wayve, we’re looking for the following skills and experience.
Essential skills
- Proven experience in an SRE, Production Engineer, or Cloud Reliability role supporting large-scale cloud systems.
- Strong Kubernetes experience, including operating production clusters.
- Hands-on experience running production workloads in AWS, GCP, or Azure.
- Experience operating complex distributed systems in production, ideally including compute-heavy or high-performance workloads.
- Experience working with large compute clusters; exposure to AI/ML training or inference workloads strongly preferred.
- Strong Linux fundamentals and proficiency in at least one scripting or systems language (e.g. Python, Go, C++) with a bias toward automation.
- Deep troubleshooting skills across networking, storage, distributed systems, and performance at scale.
- Experience designing and operating observability stacks (e.g. Datadog, Prometheus, Grafana, OpenTelemetry).
- Clear communication skills, including leading incidents, writing postmortems, and influencing teams to prioritise reliability improvements.
Desirable skills
- Experience operating GPU-backed environments or large-scale ML infrastructure.
- Experience running model training or inference pipelines in production (MLOps).
- Familiarity with infrastructure-as-code (e.g. Terraform) and secure cloud production environments.
- Experience defining and running SLOs/SLIs and building reliability programs across multiple teams.
- Experience as an early or founding SRE hire establishing processes from scratch.
- Interest in helping shape and grow a Cloud SRE function, with potential to take on leadership responsibilities over time.
This is a full-time role based in our office in London (2 days a week in the office). 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.
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.
For more information visit Careers at Wayve.
To learn more about what drives us, visit Values at Wayve
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
Ready to apply?
Apply to Wayve
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
This is a rare opportunity to be a founding Staff SRE shaping the reliability of large-scale AI systems and GPU compute infrastructure from the ground up.
As a Staff Cloud Site Reliability Engineer at Wayve, you will build and scale the reliability foundations of our AI cloud platform. This includes our Model Development Platform (powering end-to-end model development from raw data to on-road experimentation) and our GPU Compute platform (large-scale, multi-tenant GPU fleets and scheduling systems driving model training and inference at scale).
This is a founding Cloud SRE role. You won’t inherit a mature SRE function, you’ll help create it. You will define the frameworks, automation, and operational standards that ensure our model development infrastructure, distributed systems, and large compute clusters operate predictably, efficiently, and at scale.
This role sits at the intersection of AI research, large-scale cloud infrastructure, and production operations. Your work will directly enable faster model training, reliable experimentation, and scalable AI deployment by ensuring our cloud infrastructure is resilient and performant.
Key responsibilities
Reliability & Platform Ownership
- Own the reliability, availability, and performance of the Model Dev Platform and GPU Compute environments.
- Define and operationalise SLOs, SLIs, and error budgets across platform services.
- Improve capacity planning, scaling strategies, and resource efficiency across large GPU-backed clusters.
- Partner with ML, platform, and software teams to establish clear production readiness standards.
Incident Response & On-Call
- Participate in a 24/7 on-call rotation as first-line response for cloud and cluster-related incidents.
- Lead incident triage, escalation, communications, and root cause analysis.
- Translate post-incident learning into durable architectural or automation improvements.
- Continuously reduce alert noise and recurring operational burden.
Observability & Operational Excellence
- Design and operate monitoring, logging, tracing, and alerting systems that enable rapid detection and recovery.
- Build dashboards that reflect real user-centric platform health (not just infrastructure metrics).
Improve deployment safety through better change management, validation, and rollback mechanisms.
Automation & Tooling
- Build automation for cluster operations, training workflows, remediation, and scaling tasks.
- Implement self-healing patterns and resilient recovery workflows.
- Harden CI/CD and release processes to improve deployment safety and velocity.
- Support infrastructure-as-code and policy-driven guardrails to ensure secure, reliable cloud environments.
About you
In order to set you up for success as a Cloud Site Reliability Engineer at Wayve, we’re looking for the following skills and experience.
Essential skills
- Proven experience in an SRE, Production Engineer, or Cloud Reliability role supporting large-scale cloud systems.
- Experience operating GPU-backed environments or large-scale ML infrastructure.
- Experience running model training or inference pipelines in production (MLOps).
- Strong Kubernetes experience, including operating production clusters.
- Hands-on experience running production workloads in AWS, GCP, or Azure.
- Experience operating complex distributed systems in production, ideally including compute-heavy or high-performance workloads.
- Experience working with large compute clusters; exposure to AI/ML training or inference workloads strongly preferred.
- Strong Linux fundamentals and proficiency in at least one scripting or systems language (e.g. Python, Go, C++) with a bias toward automation.
- Deep troubleshooting skills across networking, storage, distributed systems, and performance at scale.
- Experience designing and operating observability stacks (e.g. Datadog, Prometheus, Grafana, OpenTelemetry).
- Clear communication skills, including leading incidents, writing postmortems, and influencing teams to prioritise reliability improvements.
Desirable skills
- Familiarity with infrastructure-as-code (e.g. Terraform) and secure cloud production environments.
- Experience defining and running SLOs/SLIs and building reliability programs across multiple teams.
- Experience as an early or founding SRE hire establishing processes from scratch.
- Interest in helping shape and grow a Cloud SRE function, with potential to take on leadership responsibilities over time.
This is a full-time role based in our office in London (2 days a week in the office). 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.
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.
For more information visit Careers at Wayve.
To learn more about what drives us, visit Values at Wayve
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
Ready to apply?
Apply to Wayve
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
This is a high-impact Fullstack Engineer opportunity to build and own a new internal web application that becomes the single go-to place for teams to browse computer vision models, run them on data subsets, and explore results.
You will partner directly with internal users to shape workflows and ship an MVP quickly, then iterate based on real feedback. As the first dedicated Fullstack hire in Corpus & Enrichment, you will set the standard for maintainable, scalable UI engineering that accelerates model development and data labelling workflows across the business.
Key responsibilities:
- Lead discovery with internal stakeholders to define user workflows, UX, and requirements for Enrichment Shop
- Build, ship, and iterate the Enrichment Shop product end-to-end using React/TypeScript and established backend web frameworks
- Integrate the frontend with existing systems and APIs (including Databricks-backed workflows and internal services)
- Incorporate user feedback into delivery planning and help define lightweight expectations/SLAs for an internal tool
- Build for long-term maintainability by writing clear, testable code and enabling others to contribute and support the system
About you
In order to set you up for success as a Senior Fullstack Engineer at Wayve, we’re looking for the following skills and experience.
Essential
- Strong JavaScript and TypeScript experience, with React as the preferred frontend direction
- Proven track record delivering a full web application, ideally owning work end-to-end in production
- Experience integrating with existing backend systems and APIs, and working effectively in an established codebase
- Able to operate independently, partnering directly with internal stakeholders and building pragmatic, maintainable, testable solutions
Desirable
- Experience with established web frameworks (for example Next.js or similar)
- Some full-stack exposure, including working close to backend services (Python/Django REST exposure a plus)
- Experience building internal tools and running a tight feedback loop with users, including setting lightweight expectations/SLAs
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.
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.
For more information visit Careers at Wayve.
To learn more about what drives us, visit Values at Wayve
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
Ready to apply?
Apply to Wayve
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
We are looking for a Staff ML Performance Engineer to join our Training Tech team working on optimizing large scale ML jobs to enable scaling our models to the next order of magnitude. A successful candidate will increase efficiency of training and inference workloads in order to allow Wayve to train larger models faster.
Key responsibilities:
- Profile ML workloads to identify their bottlenecks, e.g. using NVIDIA Nsight Systems
- Design and implement efficiency improvements to maximize MFU and throughput, e.g. parallelism, model compilation, mixed precision
- Design and implement observability tools to identify bottlenecks and drive performance improvements, e.g. to track MFU, throughput, latency, etc
- Design and implement benchmarking tools, e.g. to track efficiency gains or regressions
- Collaborate closely with Research teams to integrate training efficiency improvements and create a culture of performance optimization
About you
In order to set you up for success in this role, we’re looking for the following skills and experience.
Essential
- 10+ years of industry experience driving performance engineering across ML systems, GPU compute infrastructure, distributed platforms or similar field.
- Experience optimizing large scale jobs on GPU compute clusters.
- Experience in working in platform teams and working with research teams.
- Experience in writing, reporting, and tracking performance benchmarks in an open and accessible way.
- Ability to write high quality, well-structured and tested Python code
- BS or MS in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience
Desirable
- Experience working with concurrent, parallel and distributed computing.
- Experience using NVIDIA NSight Systems or other system profilers.
- Experience implementing GPU kernels (CUDA, Triton, etc).
- Knowledge of computing fundamentals - what makes code fast, secure and reliable.
#LI-HH1
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.
For more information visit Careers at Wayve.
To learn more about what drives us, visit Values at Wayve
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
Ready to apply?
Apply to Wayve
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!
Role Overview
Cloud Infrastructure Engineer, you will help build, operate, and improve the cloud platforms and infrastructure that support Wayvei’s software development and release systems.
Working as part of a team, you’ll focus on maintaining reliable, scalable, and secure cloud environments, while improving the systems that enable efficient software development, testing, and deployment. This is a hands-on role with opportunities to deepen your expertise in cloud infrastructure, automation, and platform engineering.
Key Responsibilities
- Build, maintain, and improve cloud infrastructure (primarily Azure) to support development, testing, and production environments.
- Contribute to Infrastructure-as-Code (IaC) implementations (e.g. Terraform, Ansible) to ensure consistent and repeatable infrastructure provisioning.
- Support and improve CI/CD pipelines and deployment systems running in cloud environments.
- Monitor, troubleshoot, and optimise cloud systems for performance, reliability, and cost efficiency.
- Assist in managing containerised workloads and orchestration platforms (e.g. Docker, Kubernetes).
- Implement and maintain observability tools (logging, metrics, alerting) to ensure system health and rapid incident response.
- Work with engineering teams to ensure infrastructure meets application requirements and supports scalable software delivery.
- Help improve security, access control, and compliance within cloud environments.
- Participate in incident response and root cause analysis for infrastructure and deployment issues.
- Continuously improve automation, reducing manual operations across infrastructure and deployment workflows.
About You
Essential:
- 2–5 years of experience in DevOps, cloud infrastructure, or related engineering roles.
- Hands-on experience with at least one cloud platform (Azure, AWS, or GCP).
- Experience with Infrastructure-as-Code tools (e.g. Terraform, Ansible).
- Familiarity with CI/CD systems and cloud-based deployment pipelines.
- Basic understanding of networking, cloud architecture, and system reliability.
- Strong troubleshooting and problem-solving skills.
Desirable:
- Experience with containerisation and orchestration (Docker, Kubernetes).
- Familiarity with monitoring and observability tools (e.g. Prometheus, Grafana, ELK).
- Experience working with Linux systems and shell scripting.
- Programming or scripting experience (e.g. Python, Bash, Go, or similar).
- Understanding of security best practices in cloud environments.
- Exposure to large-scale or distributed systems
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.
For more information visit Careers at Wayve.
To learn more about what drives us, visit Values at Wayve
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
Ready to apply?
Apply to Wayve