Benefits:

• Top-of-market compensation

• Flexible benefits package

• High-trust, high-autonomy culture

• Choose salary versus stock options

• Medical, financial, and/or other benefits

Experience Requirements:

• Skilled in designing scalable and resilient internal tools that improve developer productivity and user experience.

• Strong systems and UI skills, able to architect robust, maintainable, and intuitive solutions across the stack.

• Proficient with modern frontend frameworks, especially React, and strong in JavaScript/TypeScript, HTML, and CSS.

• Experienced in building and consuming GraphQL and REST APIs to support rich, interactive internal tooling.

• Comfortable working across the full stack, integrating frontend applications with APIs and cloud services.

Other Requirements:

• Background in platform, tooling, or developer experience is a plus.

• Excellent communicator, able to clearly articulate technical concepts and collaborate with partners and stakeholders.

• Self-driven individual contributor who thrives in fast-paced, high-impact environments.

• Passionate about mentoring and supporting the growth of new graduates and early-career engineers.

• Strong sense of ownership and responsibility.

Responsibilities:

• Architect, build, and operate full-stack internal tooling and platform & observability solutions as part of the Netflix Consumer Identity Platform.

• Design and implement scalable, resilient internal applications and dashboards using React and related technologies.

• Develop and maintain GraphQL and BFFs that power internal tools.

• Take full ownership of technical projects, driving them from conception to production, across both frontend and API integration domains.

• Mentor early-career engineers through code reviews, design sessions, pair programming, and knowledge sharing.

Experience Requirements:

• Proven experience working as a DevOps Engineer or in a similar role.

• Hands-on experience with Kubernetes for deploying and managing containerized applications in a production environment.

• Proficiency with Terraform for managing cloud infrastructure as code.

• Experience with AWS or Azure.

• Experience with GitOp practices, e.g. ArgoCD.

Other Requirements:

• Experience with networking/service meshes, e.g. Istio.

• Familiarity with ML Ops.

Responsibilities:

• Design, build, and maintain our infrastructure using Terraform.

• Deploy, manage, and scale containerized applications on Kubernetes on AWS and Azure.

• Develop and enhance our CI/CD pipelines for automated builds, testing, and deployments.

• Implement and manage robust monitoring, logging, and alerting solutions to ensure system health and performance (e.g., Prometheus, Grafana).

• Collaborate closely with development teams to optimise application performance, security, and scalability.

Experience Requirements:

• Have 1-5 years (or more) of software engineering experience building real-world applications

• Know Typescript/React/NextJS, Python, Relational DBs (Postgres)

• Enjoy working in a fast moving startup with low amounts of process

• Have excellent communication skills, with a strong ability to collaborate with others (both teammates and external customers)

Other Requirements:

• Experience with Docker/Kubernetes, cloud technologies (AWS, GCP, Azure), and on-prem/cloud deployments

• Experience (or even just interest) in AI (NLP, Deep Learning, GenAI) and information retrieval

• Previous founder or early engineer at seed/series-A startup

Responsibilities:

• Building a consumer grade UI experience for the GenAI Chat, Enterprise Search, Agents, and Admin features

• Extending the backend functionalities and APIs (see below)

• Improving the flexibility and quality of the search pipeline, building a semantic understanding of customer organizations, extending the current permission/access controls, and expanding the knowledge curation features

• Implementing the latest approaches in NLP research like LLM based Knowledge Graphs, StructRAG, Agent/Deep-Research, etc. to increase the range of questions the system can answer (AI / deep learning experience not required)

• Own the entire development cycle of new features, from conception to production

Benefits:

• fully covered health/dental/vision

• transportation reimbursement

• Free meals

• Stocked kitchen with drinks, snacks, matcha and an espresso machine

• Monthly company outings (bike rides to Mt. Tamalpais, escape rooms, etc.)

Education Requirements:

• Degree in Computer Science or related technical field

Experience Requirements:

• 4+ years of frontend engineering experience building complex, user-facing applications

• Have an incredible bar for yourself and for others. You want your work to be exceptional, and accept nothing less.

• In-depth experience with JavaScript, TypeScript, React, NextJS and other modern frontend technologies

• Excellent communication skills and ability to collaborate with cross-functional teams

• Strong product/design intuition.

Other Requirements:

• Familiar with Python, Postgres

• Previous founder or early engineer at seed/series-A startup

Responsibilities:

• Doing everything frontend for the default open-source chat interface, enterprise search platform, and agent builder.

• Collaborating closely with the design team + founders

• Setting frontend priorities and best practices

• Building an exceptional design / frontend engineering culture

• Fostering an open-source community; guiding contributors on adding to the frontend

Experience Requirements:

• Minimum of 3 years of experience as a Power BI Developer or similar role.

• Proficiency in Power BI Desktop, Power Query, and DAX.

• Strong SQL skills and experience with data warehousing concepts.

• Experience with data transformation and data wrangling techniques.

• Excellent data visualization skills with an eye for design and usability.

Other Requirements:

• Ability to effectively communicate technical concepts to non-technical stakeholders.

• Microsoft Power BI Certification is a plus.

• Exceptional problem-solving and analytical skills.

• Strong attention to detail and commitment to data quality.

• Excellent communication and interpersonal skills.

Responsibilities:

• Collaborate with business stakeholders to understand their data and reporting needs.

• Design, develop, and maintain data warehousing solutions to support data transformation, wrangling, and storage needs.

• Utilize data transformation and wrangling techniques to clean, reshape, and prepare raw data for analysis.

• Write and optimize complex DAX calculations to provide meaningful insights from data.

• Develop interactive and visually appealing dashboards and reports using Power BI.

Benefits:

• Competitive base salary with performance-based bonuses

• Health insurance, retirement/pension contributions, and paid time off

• Equity or stock option potential in a fast-growing startup

• Fully remote work setup (work from home) with flexible hours

• Professional development budget (books, courses, conferences) and modern tools (MacBook, software subscriptions)

Experience Requirements:

• 5+ years of experience in full stack web development, with a strong track record of shipping and maintaining production-grade applications

• Expert-level proficiency in TypeScript and strong working knowledge of Python

• Experience with React and Next.js, including server-side rendering and static site generation

• Proficiency in Node.js, Python and microservices architecture

• Hands-on experience with AWS and Google Cloud Platform

Other Requirements:

• Familiarity with containerization (Docker), CI/CD pipelines, infrastructure-as-code tools (Terraform), and monitoring solutions

• Experience with automated testing frameworks (e.g., Jest, Playwright, Cypress)

• Comfortable working in a collaborative, agile development environment

• Excellent communication skills and an ability to self-manage

• Experience with serverless architectures

• Familiarity with OpenAI APIs or LLM-based application development

• Exposure to chatbot frameworks or agentic system design

• Contributions to open source or tech communities

Responsibilities:

• Design, implement, and maintain scalable features and services across the frontend (React/Next.js) and backend (Node.js/Python).

• Deploy and maintain cloud-native applications in AWS and Google Cloud environments. Contribute to DevOps practices and CI/CD workflows.

• Build and consume RESTful APIs to power real-time conversational AI experiences.

• Ensure high performance, security, and scalability of the applications across different environments.

• Work closely with the product, design, and AI teams to build and iterate on features that delight users and support the needs of our enterprise clients.

Experience Requirements:

• Strong engineering fundamentals and experience building and operating large-scale distributed systems

• Deep familiarity with HPC & GPU cluster management using Kubernetes and Slurm

• A blend of developer empathy and raw performance engineering, designing systems and tools that are intuitive to use and fast

• Ability to balance principled engineering with the urgency of keeping mission-critical systems alive

• Proficiency with Infrastructure-as-Code tools (Terraform, Ansible, etc.) and observability tools (Prometheus, Grafana, etc.)

Other Requirements:

• Strong debugging skills— comfortable diagnosing NCCL issues, CUDA errors, and network or driver-level faults.

• Experience optimizing large-scale distributed training frameworks such as DeepSpeed, Megatron-LM, or similar

• Familiarity with advanced parallelization techniques such as FSDP, context parallelism, or tensor parallelism

Responsibilities:

• Design and build large-scale GPU clusters for model training and low-latency inference

• Develop automation for provisioning, scaling, and monitoring to ensure clusters are fast, resilient, and self-healing

• Collaborate closely with research and product teams to enable distributed training at scale, optimizing for speed, reliability, and utilization

• Implement robust observability and alerting systems to monitor GPU health, node stability, and job performance

• Diagnose and triage hardware, networking, and distributed training issues across environments, coordinating with provider support as needed

Education Requirements:

• BS or MS in Computer Science, Engineering, or similar experience

Experience Requirements:

• 3+ years of leading complex teams with multiple management layers

• Domain knowledge: validation methods – by design, system decomposition, traceability, statistical approaches

• Domain knowledge: neural net understanding/introspection and/or validation

• Domain knowledge: robotics including computer vision and motion – scenario understanding and simulation

• Execution skills: resource allocation, program planning and execution

Other Requirements:

• Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

• Define and own the technical vision, strategy and metrics for your area, ensuring its teams and the rest of Wayve are aligned and galvanised

• Design and grow a Validation engineering organisation covering model releases and system level validation

• Cover all our AV product requirements (safety, utility, comfort) on a set of reference platforms with automated tests

• Find architectural and implementation gaps throughout our systems

• Drive requirements into our tooling development – simulators, generative AI, scenario understanding

Experience Requirements:

• 2+ years of engineering management experience in data, ML, or perception domains

• Proven experience designing and scaling ML or data processing systems in production

• Strong systems thinking across latency, throughput, observability, and robustness

• Technical fluency in Python and/or modern data stack (e.g. Spark, Ray, Flyte, Databricks)

• Track record of delivering high-quality engineering outcomes in complex domains

Other Requirements:

• Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

• Lead, grow, and mentor a team of 5–8 engineers across ML, perception, and data domains

• Define and scale data enrichment pipelines, including semantic segmentation and cuboid annotation

• Set and drive quality and throughput goals for all enrichment outputs

• Drive architecture decisions that ensure robustness, efficiency, and scalability

• Partner with infra and platform teams to productionize enrichment systems

Experience Requirements:

• Demonstrated ability to build, manage and grow high-performing Machine Learning Engineering teams

• Strong hands-on development experience in designing, implementing and maintaining high quality software systems, ideally in Python

• Solid understanding of machine learning fundamentals

• Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables

• Track record of promoting software engineering best practices and excellence within the team

Other Requirements:

• Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

• Lead a team of software engineers and ML engineers, providing clarity for execution and support for personal growth

• Collaborate with other leaders across ML modeling, data engineering and infrastructure to understand their needs and communicate your roadmap

• Prioritise effectively, implement and maintain lean and effective team processes

• Build resilient and reliable systems and teams, anticipate the needs of the business 18 months out, identify areas where additional resources are needed and grow team as hiring manager

• Lead technical discussions and guide technical direction where needed

Experience Requirements:

• 2+ years experience leading high-performing engineering teams

• Proven track record designing and scaling distributed systems, particularly search or indexing infrastructure

• Experience with vector similarity search, ANN algorithms, or semantic retrieval systems

• Strong technical fluency with Python and/or systems-level languages (e.g., C++, Go); familiarity with data stack components like Spark, Ray, Databricks

• Comfort working with ML workflows or embedding-based pipelines

Other Requirements:

• Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

• Lead and grow a team focused on the design, scaling, and reliability of Wayve’s corpus indexing systems

• Define the technical architecture for embedding-based retrieval, metadata-based querying, and multi-modal index structures

• Establish engineering rituals (planning, standups, retros) and team delivery rhythm

• Work closely with ML, data curation, and simulation teams to align indexing priorities with downstream workflows

• Ensure the indexing system meets evolving performance, recall/precision, and observability needs at scale

Experience Requirements:

• Proven track record of managing high-performing machine learning engineering teams

• Strong understanding of generative AI, including experience with model training and deployment

• Experience with roadmap planning, stakeholder management, requirements gathering, and alignment with peers towards milestones and deliverables

• Demonstrated ability to guide the development and operationalisation of ML models, with attention to model lifecycle, reliability, and performance

• Track record of promoting software engineering and ML Ops best practices within the team

Other Requirements:

• Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

• Define and drive the engineering roadmap for synthetic data generation using generative AI

• Lead technical discussions across research and engineering, and guide architectural and implementation decisions across model training, deployment, and data delivery pipelines

• Set effective KPIs and metrics to evaluate model quality, generation throughput, coverage, and overall impact on system evaluation

• Build scalable, reliable systems and teams, anticipate the needs of the business 18 months out, identify areas where investment is needed, and grow the team as hiring manager

• Prioritise effectively, implement and maintain lean, ML-ops friendly team processes that support both iterative model development and robust internal tool delivery

Experience Requirements:

• Proven track record of managing engineering teams

• Solid understanding of machine learning fundamentals

• Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables

• Track record of promoting software engineering best practices and excellence within the team

• Demonstrated ability to manage software engineers and grow their careers

Other Requirements:

• Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

• Help define and drive the Collision Avoidance roadmap, lead technical discussions and guide direction where needed

• Build a resilient team which prioritises effectively, anticipates the needs of the business, and maintains a culture of impact

• Understand Wayve’s end-to-end approach and how it maps to AV 1.0

• Dive into data analytics, constructing evaluation suites, and get in-vehicle experiences from time to time to ground your understanding of the system

• Drive cross-functional initiatives through effective communication

Experience Requirements:

• Strong track record of shipping deep learning systems to production

• Expert in deep learning (esp. sequential models, control, planning, or perception)

• Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices

• Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop components

• Ability to lead technical initiatives across teams, drive alignment, and mentor engineers

Other Requirements:

• Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

• Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization

• Lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment

• Build evaluation pipelines and metrics for both closed-loop and open-loop driving performance and product readiness

• Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development

• Influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems

Experience Requirements:

• 7+ years (Staff) or 10+ years (Principal) years in ML engineering, with a strong track record of shipping deep learning systems to production

• Expert in deep learning (esp. sequential models, control, planning, or perception)

• Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices

• Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop components

• Ability to lead technical initiatives across teams, drive alignment, and mentor engineers

Other Requirements:

• Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

• Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization

• Lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment

• Build evaluation pipelines and metrics for both closed-loop and open-loop driving performance and product readiness

• Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development

• Influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems

Experience Requirements:

• 7+ years (Staff) or 10+ years (Principal) years in ML engineering, with a strong track record of shipping deep learning systems to production

• Expert in deep learning (esp. sequential models, control, planning, or perception)

• Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices

• Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop components

• Ability to lead technical initiatives across teams, drive alignment, and mentor engineers

Other Requirements:

• Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

• Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization

• Lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment

• Build evaluation pipelines and metrics for both closed-loop and open-loop driving performance and product readiness

• Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development

• Influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems

Education Requirements:

• A degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience

Experience Requirements:

• Strong understanding of modern browser APIs, familiarity with frameworks such as React or Angular, and TypeScript

• Comfortable working in Linux environments, proficient in Rust or C++

• Comfortable designing and maintaining systems end-to-end, including architecture, testing, deployment, and monitoring

• Ability to deliver pragmatic, high-quality solutions under evolving requirements, balancing short-term needs and long-term sustainability

• Skilled at working closely with cross-functional partners and communicating technical concepts clearly and effectively

Other Requirements:

• A focus on building products that deliver real impact for users in real-world environments

• Enthusiasm for robotics, autonomous systems, or mobility innovation

• Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

• Own system design and delivery: Design, implement, and maintain critical fullstack systems for the onboard experience

• Develop robust frontend and backend features: Build user interfaces in React/TypeScript and backend services in Rust

• Ensure reliability and observability: Establish metrics, logging, and testing practices

• Collaborate across disciplines: Work with engineers and designers to translate user and operational needs into elegant technical solutions

• Contribute to technical excellence: Uphold high standards for code quality, architecture, and documentation

Experience Requirements:

• Front End: 5+ years experience in React JS + React Hooks

• Back End: 5+ years experience in MySQL (or Postgres SQL)

• Back End: 4+ years experience in NodeJS

• Experience with Firebase/Firestore

• Experience in React-Query

Other Requirements:

• Great English with great communication skills

• Wants to be a part of a rapidly growing startup and become a core part of the team

• Loves to build fast and ship fast

Responsibilities:

• Developing the core product as well as new products, in short sprints

• Monitoring production and building an infrastructure to help track ongoing issues

• Willingness and availability for occasional on-call and production urgent issues, as well as communicating with users as needed

Benefits:

• Work with cutting-edge technologies and revolutionise workflows in Data+AI solutions.

• Contribute to solutions that are trusted by global businesses for their scalability, security, and efficiency.

• Grow personally and professionally in a culture that values curiosity and continuous learning.

Education Requirements:

• B.Tech or equivalent bachelor ’s degree in computer science.

Experience Requirements:

• 5 years.

• Experience with using ITIL software for incident management eg: ServiceNow, FreshDesk, BMC.

• Knowledge of the Incident/Ticket management process.

• Experience working with REST API and hands on experience in using API clients like POSTMAN.

• Experience with one or more programming/scripting languages.For example, some knowledge of Kubernetes, angular js, node js. MongoDB, Linux Etc.

Responsibilities:

• Investigate and identify solutions to raise support incidents.

• Diagnose and troubleshoot technical issues.

• Track tickets through to resolution, within agreed SLA.

• Properly escalate unresolved issues to appropriate internal teams.

• Document all issues and their solutions to help future efforts in the design and implementation of our software products.

Benefits:

• Work with cutting-edge technologies and revolutionise workflows in Data+AI solutions.

• Contribute to solutions that are trusted by global businesses for their scalability, security, and efficiency.

• Grow personally and professionally in a culture that values curiosity and continuous learning.

Experience Requirements:

• 4+ years of hands-on experience in SSIS (SQL Server Integration Services) and MySQL stored procedures, views, and query optimisation.

• Proficient in writing and tuning complex SQL queries.

• Experience supporting production systems and BAU operations.

• Comfortable working independently in a remote-first environment.

Responsibilities:

• Design, develop, and manage SSIS packages for ETL and data integration tasks.

• Create and optimise stored procedures in MySQL to support application and reporting needs.

• Monitor and troubleshoot data workflows and jobs in BAU environments.

• Provide timely production support, including root cause analysis and fix deployment.

• Collaborate with stakeholders (IT, Data primarily but Product teams may be involved) to understand and deliver data needs.