About the team

With so many people using Roku’s products globally, we’ve become well-known for products that “just work” right out of the box and integrate almost by magic.  That doesn’t happen by accident, which is why we are committed to making sure our products aren’t just intuitive; they’re obvious.  To support that commitment, the Roku’s Automation support and Tools team focuses on providing innovative and impactful tools that improve efficiency, enhance productivity of all engineering to test Roku products, from industry’s most reliable streaming media platform to smart home products that seamlessly integrate with Roku entertainment OS for a great connected home user experience. We accomplish this using state of the art technology and engineering to make it happen, with consideration for the customer as the centre of all that we do.

Roku’s embedded software automation and tools team has an excellent opportunity for a Senior Software Engineer with strong experience in building automation framework and tools for embedded devices. The role involves developing and maintaining software and tools that help various internal teams to test and manage Roku’s products. Working closely with internal stakeholders to enhance existing automation toolset with new capabilities and advanced features that empower all engineering and accelerate validation efforts for SW releases. 

About the role

You will work cross-functionally with various engineering teams, using your automation tooling expertise to help both firmware developers and QA to create and deliver the highest quality products that provide valuable end-user feedback to improve customer experience. This position requires Python expertise with strong experience using web frameworks, excellent debugging, written, and organizational skills. You will be joining a talented, high-performance team of developers with a history of delivery. We are looking for someone who can help us maintain this pace and continue delivering high quality as we grow. 

We are looking for a keen problem solver and a self-motivated individual with excellent communication and collaborative skills who is eager to learn and grow in the consumer electronics space. As an engineer on the team, you will require the skills and confidence to undertake the challenges of working in a fast-paced environment, frequently be taken out of your comfort zone, and relish getting your hands dirty working with user-facing products. 

What you will be doing:

• Develop and release new E2E automation support and tools 
• Debug issues to improve the quality of automated test tools and frameworks 
• Conduct code reviews to improve code quality and optimization 
• Promote coding conventions and standards for code re-usability and cleanliness 
• Document feature guides, identify and formulate user requirements, and define product behavior 
• Support and maintain existing automation tools and technology 
• Mentor less experienced engineers and drive automation development 
• Assist in monitoring and maintenance of critical systems 
• Champion the adoption of AI tools and technologies to enhance automation capabilities and team productivity. 
• Review and provide technical feedback on design documents and high-level architecture diagrams across multiple tools and teams, with a focus on evaluating design trade-offs, scalability, maintainability, and alignment with overall system architecture. 

We're excited if you have:

• 10+ years of hands-on experience with automation systems 
• 10+ years of programming experience, preferably with Python 
• Bachelor’s degree in computer science or related field 
• Proficient in Linux, Python-based test automation frameworks, and tools using REST APIs 
• Hands-on experience in development/integration of E2E test automation frameworks and tools for embedded software devices 
• Proficient use of AI tools and technologies with a proven track record as a promoter and advocate for AI adoption in software development and testing automation. 
• Agentic workflow familiarity: Working knowledge of multi-step AI orchestration frameworks and the practical use of AI agents to support and streamline day-to-day development workflows. 
• Experienced in developing and maintaining web-based tools using JavaScript and React/Next.js 
• Experience with DevOps and continuous integration tools (Jenkins, GitLab CI, Docker, and Kubernetes) 
• Experience with CI/CD pipeline development and deployment via AWS or GCP cloud technologies 
• Experience with unit testing frameworks – pytest/pyunit and Cypress for UI testing 
• Experience developing web applications using Flask, FastAPI, Django, and Nginx 
• Knowledge in using AI for increasing test automation coverage and productivity 
• Experience with retail Consumer Electronic (CE) devices, ideally in the Over The Top (OTT) streaming domain 
• Expert problem-solving and technical troubleshooting skills 
• Ability to learn new technologies quickly 
• A self-directed professional able to work independently 
• Ability to work through ambiguous requirements and be flexible/adaptable to change 
• Comfortable and experienced working with cross-functional peers and internal stakeholders across European and US time zones 
• Excellent communication and collaborative skills 

Additional nice to have skills: 

• Previous experience with Non-Functional Testing (Performance Testing, Stress Testing) 
• Knowledge of network technologies and libraries such as TCP/IP and HTTP 
• Experience with database technologies (MySQL, PostgreSQL, MongoDB, Redis) for test data management 
• Familiarity with monitoring and observability tools (Grafana, Prometheus, ELK stack, Datadog) 
• Knowledge of streaming protocols and technologies (HLS, DASH, RTMP, WebRTC) 
• Experience with API testing tools (Postman, REST Assured, GraphQL) 
• Understanding of security testing principles and tools (OWASP, penetration testing) 
• Experience with mobile testing frameworks and cross-platform testing 
• Familiarity with test reporting and analytics platforms (Allure, TestRail, ReportPortal) 
• Experience with infrastructure as code (Terraform, Ansible, CloudFormation) 
• Knowledge of machine learning concepts for test optimization and predictive analysis 
• Familiarity with Agile/Scrum methodologies and project management tools (Jira, Confluence) 
• Basic understanding of hardware debugging tools and techniques for embedded systems 

#LI-AB3

About the Team 

The Advanced Development organisation pushes beyond the boundaries of product lines to build new things. We think independently of standard shipping cadences and timelines, working on foundational technologies that will impact every Roku device in the future, and on ideas that no one has seen before in their living room. As this is an exceptional team, we are seeking unusual talent. As part of Advanced Development, the Developer Experience team specifically focuses on driving internal changes in tooling to improve developer satisfaction and productivity. The team listens to their customers, determines the most impactful opportunities and executes on delivering those changes. The team works technologies including modern Linux embedded C++, build systems, cloud backend systems, and web platforms.

About the role

We are looking for a Senior Software Engineer with an interest in driving our platform emulation product forward. You will be working on a software PAL version of the Roku OS which represents real hardware but facilities wider scale testing accessed via cloud hosting and web/API for internal users and Roku Partner development teams.

This is a very diverse role with exciting challenges and opportunities. One day you might be doing video decoding, or audio distribution, or tweaking docker, or testing app development or build tasks or cloud integration, or security or a ton of other things.  Every day is going to be a different problem and an opportunity to really learn about a lot of new tech and help design the infrastructure of a pretty complex system.

What You’ll be doing 

• Focus on the Native Build of Roku OS, which operates without physical hardware - drive forward the development and continue to keep the platform current and meeting the needs of internal and external users - covers both hand-on development and working with other teams to support them.
• Solve design problems in embedded software, application SDKs, networking, graphics, UIs, media and other areas across Advanced Engineering, always with an eye on the resource constraints of our players and TVs
• Write efficient software that can be easily ported to new or existing platforms
• Demonstrate excellence in C++ development and deliver high-performance, ultra-reliable software
• Troubleshoot and resolve issues to ensure optimal performance and user satisfaction. 
• Participate in code reviews and contribute to best practices in software development.

We’re excited if you have 

• 10+ years in software development, architecture, and API design
• 5+ years Linux systems programming
• Excellent modern C++ programming skills
• An understanding of compilers and how code changes will impact resources and performance
• Proven track record of success developing software to operate within tight CPU, RAM, and storage constraints
• Strong problem-solving skills with the ability to work both independently and collaboratively in a team environment using agile processes.
• Excellent communication skills to effectively convey technical concepts to both technical and non-technical audiences. 
• A Bachelor’s degree in Computer Science, Engineering, or a related field is preferred. 

#LI-NM1

About the role

With more than 85 million people using our products globally, we’ve become well-known for products that “just work” right out of the box and integrate almost by magic. That doesn’t happen by accident, which is why we are committed to making sure our products aren’t just intuitive; they’re obvious. Our goal is to help people find what they want and make it easier for people to stream.  We accomplish this using state-of-the-art technology and engineering to make it happen, considering the customer as the center of all that we do.

We are looking for a Senior Software Engineer to focus on developing core features for the Roku platform UI. We are looking for someone with experience building high-performing applications and SDK components who wants to code on a wildly popular consumer electronics platform. This is an excellent role for a senior professional who enjoys a high level of visibility, thrives on having a critical business impact, and is excited to work on a component that touches almost everything streamed on the Roku platform.

About the team

This team spends most of its time working on customer focused features that improve the user experience, from cross-platform device experiences, TV & Player centric UI, and IoT integration with Roku OS. Our product roadmap helps us accelerate our growth and scale, putting surprising new features into the hands of tens of millions of Roku users worldwide.

Our developers and engineers are owners. They are motivated from within, finding and taking on a feature or project simply because that problem needs to be solved and shipped. But that individual must work together with different engineering teams, UI design, product teams, QA, and business leadership to make things happen, which means that engineers succeed here because they can maintain that independent spirit and motivation within a deeply collaborative environment. We are the pragmatic dreamers inventing and re-inventing the world of streaming media.

What You’ll Be Doing

We’re Excited If You Have

#LI-NM1

About the Role

This is a senior software engineering role where you will architect, design, implement and test the run-time and native renderer of Roku's software development kit. You will partner with engineers who build the higher level scripting parts of Roku’s SDK.

Roku prides itself in building software and features which run well on our oldest devices, while taking advantage of our latest ones. To this end, the software development kit will need to be designed and implemented from the get go to run well on devices with extremely limited system resources like RAM, Flash and CPU.

What you’ll be doing

• Architect, design, implement and test the run-time and native renderer of Roku's software development kit.

• Partner with engineers who build the higher level scripting parts of Roku’s software development kit.

• Ensure that we can stand behind all APIs exposed by Roku’s software development kit, and manage the evolution of these APIs.

• Ensure that the native development kit performs well on low-cost hardware. To this end you will design for and track RAM consumption, rendering frame rate, etc.

• Develop tooling which will allow Roku and 3rd party developers to build great optimized and performant applications to run on the Roku platform.

• Navigate through ambiguous problem spaces and meticulously distill out design choices, trade-offs, and priorities.

We’re Excited If You Have

• Bachelor’s in Computer Science or Computer Engineering, or equivalent experience

• 7+ years of experience in embedded C/C++ development and toolchain.

• Extensive experience with software development on embedded Linux

• Experience with multi-process architectures and IPC mechanisms.

• Experience with UI/app frameworks from iOS or Android is a plus.

• Excellent software design and architecture skills.

• Ability to see the big picture while focused on short-term objectives and deliverables.

• Ability to multi-task and drive parallel projects and distributed teams with tight deadlines.

#LI-MS3

About the Role

This is a senior software engineering role where you will architect, design, implement and test the run-time and native renderer of Roku's software development kit. You will partner with engineers who build the higher level scripting parts of Roku’s SDK.

Roku prides itself in building software and features which run well on our oldest devices, while taking advantage of our latest ones. To this end, the software development kit will need to be designed and implemented from the get go to run well on devices with extremely limited system resources like RAM, Flash and CPU.

What you’ll be doing

• Architect, design, implement and test the run-time and native renderer of Roku's software development kit.

• Partner with engineers who build the higher level scripting parts of Roku’s software development kit.

• Ensure that we can stand behind all APIs exposed by Roku’s software development kit, and manage the evolution of these APIs.

• Ensure that the native development kit performs well on low-cost hardware. To this end you will design for and track RAM consumption, rendering frame rate, etc.

• Develop tooling which will allow Roku and 3rd party developers to build great optimized and performant applications to run on the Roku platform.

• Navigate through ambiguous problem spaces and meticulously distill out design choices, trade-offs, and priorities.

We’re Excited If You Have

• Bachelor’s in Computer Science or Computer Engineering, or equivalent experience

• 7+ years of experience in embedded C/C++ development and toolchain.

• Extensive experience with software development on embedded Linux

• Experience with multi-process architectures and IPC mechanisms.

• Experience with UI/app frameworks from iOS or Android is a plus.

• Excellent software design and architecture skills.

• Ability to see the big picture while focused on short-term objectives and deliverables.

• Ability to multi-task and drive parallel projects and distributed teams with tight deadlines.

#LI-MS3

About Roku

Roku pioneered streaming to the TV — and today we help shape how millions of people around the world discover and enjoy entertainment.

Our platform powers one of the largest TV streaming ecosystems globally, with nearly 90 million active accounts worldwide and over 100 billion hours streamed annually.
Our teams build the software experiences that sit at the heart of modern television — powering Roku streaming players, Roku TV™ devices, and partner platforms across the globe.

Since entering the UK market in 2012, Roku has seen tremendous growth, giving viewers access to thousands of streaming channels — from BBC iPlayer, ITVX, and All4 to Netflix, Prime Video, NOW, and many more. Through the Roku Powered licensing program, we also collaborate with major partners such as Sky to deliver streaming experiences at scale.

As streaming continues to replace traditional TV, Roku’s platform has become the “home screen” for millions of households — combining operating system innovation, embedded engineering, and large-scale media technology.

About the Role

We are seeking an experienced Software Engineer to join our New Product Introduction team and help build the next generation of Roku TV devices.

This is a hands-on embedded engineering role where you’ll work close to the hardware, operating system, and media stack — helping deliver features that ship directly to customers’ living rooms.

You’ll thrive here if you enjoy working closely with the team, solving complex system problems, and collaborating with multidisciplinary teams to bring new devices to life.

What You’ll Do

• Work independently and in small teams to deliver new product features and functionality on schedule
• Feature development in C/C++
• Maintain and design scalable embedded software solutions across our device portfolio
• Collaborate closely with QA and cross-functional engineering teams
• Integrate and optimise third-party APIs and media technologies
• Contribute across the full product lifecycle — from early hardware integration to customer-impacting issue resolution
• Work on System-on-Chip (SoC) integration, board bring-up, and device performance tuning
• Experiment with AI tools for automation and operational efficiency. Constantly look for creative and innovative ways to solve real life problems.

We’re Excited If You Have

• Hands-on professional software development experience
• Strong C/C++ systems programming background
• Solid understanding of embedded Linux, open-source tooling, and device-level development
• Experience working in user space and/or kernel space
• Familiarity with media playback engines, streaming protocols, or video/audio pipelines
• Hands-on experience with embedded systems or shipping software on hardware platforms
• Ability to estimate technical work and deliver reliably in a fast-moving environment
• Degree in Computer Science, Electronics, or equivalent engineering experience
• Experience with SoC integration, device drivers, or video streaming technologies is highly valued.
• AI growth mindset – has experimented with AI tools.

#LI-PA1

About the team

You will be part of the Roku Video Platform Engineering team and responsible for building the next-generation video services for the Roku Cloud TV Platform. Roku pioneered TV streaming and continues to innovate and lead the industry. The Roku Channel has us well-positioned to help shape the future of streaming. Continued success relies on investing in the Roku Cloud TV Platform to deliver a high-quality streaming TV experience on a global scale. 

About the role

As a Video Encoding Engineer, you will build, optimize, and maintain high-performance video processing workflows. You will own our end-to-end encoding toolchain—from experimentation and profile tuning to automated packaging workflows—ensuring our content is delivered with maximum quality, reliability, and efficiency.

You will work closely with the team on key video services projects around video ingestion, encoding, VoD/live-linear, Server-Side Ads Insertion, and Video QoS, with the goal of delivering a best-in-class streaming TV experience across all Roku devices. The projects that you will work on will impact millions of Roku users around the world. Throughout, you will have the opportunity to collaborate with key product engineering stakeholders across Roku engineering teams and to lead the design of our video services platform.

The ideal candidate will have endless curiosity and can pair a global mindset with locally relevant execution. You should be a gritty problem solver and self-starter who can drive programs with the product and commercial teams within Roku and across external strategic partner organizations. The successful candidate will display a balance of hard and soft skills, including the ability to respond quickly to changing business needs. 

What you’ll be doing

• Design, build, optimize, and maintain FFmpeg-based encoding pipelines for both VOD and Live workflows, operating at scale in cloud environments such as AWS or GCP
• Develop, refine, and validate encoding presets for modern codecs, including H.264, HEVC, and AV1, ensuring optimal quality-to-bitrate performance
• Implement advanced encoding strategies such as multi-pass workflows, CRF tuning, per-title optimizations, and quality-targeted encoding
• Benchmark and evaluate video quality using VMAF and other objective metrics to drive continuous improvements in efficiency and viewing experience
• Build and maintain adaptive streaming packaging workflows, including HLS, DASH, and CMAF, ensuring broad device compatibility and reliable playback
• Profile and optimize system performance by identifying and eliminating bottlenecks across compute, storage, and I/O layers
• Write, review, and improve code, assessing architectural tradeoffs to deliver secure, high-performance, and highly concurrent video infrastructure services
• Collaborate cross-functionally with engineering, product, and platform teams to support and advance company-wide video service initiatives

We’re excited if you have

• Strong problem-solving and analytical abilities
• 5+ years of solid programming experience and passionate about writing high-quality and well-architected code
• Expert-level knowledge of FFmpeg or Gstreamer and their related toolchains (filters, flags, debugging, custom builds)
• Experience with hardware-based encoder/decoder libraries (NVENC, Vulkan
• Strong understanding of compression theory, codec internals, GOP structures, bitrate control, etc
• Experience with container formats: MP4, TS, fragmented MP4, ISOBMFF
• Familiarity with HLS/DASH, CMAF, adaptive bitrate design, DRM, and SCTE 35
• A track record working with applied AI-based video enhancement and compression algorithms (Super Resolution, Denoising, Artifact Removal)
• Hands-on experience with cloud compute (AWS Lambda/ECS/Batch, GCP, Kubernetes, or similar)
• Ability to handle periodic on-call duty as well as out-of-band requests; strong written and verbal communication skills
• Bachelor's degree in computer science plus 8 years of experience or equivalent; Master's degree preferred 

#LI-SB-5

About the team

At Roku, the Device Monetization and Themed Experiences (DMTE) team, a part of the Advertising organization, is where the magic behind the scenes happens. We’re the engineers who build the high-performance graphics and UI foundations that power the FRAME engine — the core technology enabling Roku’s smooth, responsive, and visually rich experiences on millions of devices worldwide. Our work lives in the middleware and UI layers, and its impact is felt every time a user navigates a menu, enjoys an animated ad, or is wowed by the bespoke experience built to market the latest TV show or Movies. We thrive on solving technical challenges — from optimizing UI rendering to fine-tuning memory usage — using BrightScript (or JavaScript-like) to deliver rock-solid, high-performance solutions. We work in a collaborative, high-trust environment where great ideas can come from anywhere, partnering closely with firmware, UI, and product teams to ensure our platform is lightning fast, reliable, and ready for the next generation of streaming innovation. If you love building the invisible foundations that make great user experiences possible, this is the team for you.

About the role

As a Software Engineer in the DMTE team, you’ll contribute to Roku’s platform innovation — implementing and optimizing BrightScript (or JavaScript-like) systems for graphics rendering and the FRAME engine. You’ll tackle performance-critical challenges, ensuring our devices deliver smooth visuals and instant responsiveness at scale. You’ll have the opportunity to learn about core architecture, work across the stack with hardware, firmware, and application teams, and see your work directly impact tens of millions of users. This is a role for engineers who love technical problem-solving, care about performance, and want to work on technology that quietly powers an entire ecosystem. If you’re ready to learn, grow, and contribute to the future of streaming, we’d love to hear from you.

What you'll be doing

• Build scalable UI features optimized for millions of users
• Contribute to technical investigations and solutions for middleware and UI challenges
• Explore integrating AI/ML capabilities and leverage generative AI tools to accelerate development
• Collaborate with cross-functional teams on global platform features
• Develop engineering tools and learn from experienced developers
• Stay current with AI trends and emerging technologies

We're excited if you have

• 3+ years software engineering experience with UI development exposure
• C++ in an embedded environment
• Proficiency in BrightScript (or JavaScript-like) skills plus some experience with Python
• Strong problem-solving and technical communication abilities
• Interest in AI applications and a willingness to learn about generative AI tools
• Proactive mindset with passion for continuous learning and fast iteration

#LI-NM1

About the Role

This is a great role for a Software Engineer, Python / SDET , with a background in developing automated tools and tests on resource constrained hardware platforms. These tools and tests will be used daily to further improve our products and help deliver the highest quality software releases that will be deployed to devices in the field. In this role, you will develop tools that test, monitor, and analyse metrics of millions of players and TV products. 

Roku is seeking a versatile Software Engineer, to build out fully automated test suites as well as performance monitoring tools. You will build automation that validates both Roku OS system software and the largest, top‑tier streaming applications that run across Roku TVs and Players, and all the required infrastructure surrounding it. This includes extending existing tests and building new ones to reliably measure memory usage, playback performance, conformance to specifications and so on. You will be also responsible for building and maintaining a small multi-platform device farm that can be used by test and firmware engineers to build and run tests. 

You will work cross-functionally with various engineering teams. The role requires an energetic and self-motivated individual with excellent communication, organisation, and technical skills. 

What you’ll be doing 

• Develop and maintain an automation framework focused on testing high‑profile streaming applications 
• Actively collaborate with team of firmware and automation engineers to build and release features that are highly testable, functional, and robust..
• Integrate multi-platform and multi-technology heterogeneous test suites .
• Build and maintain a device farm to run and maintain automated tests and capture results. 
• Identify automation opportunities proactively and act independently. 
• Review feature specifications, write test plans, and develop automated tests. 
• Schedule automated tests, monitor and triage test results

We’re excited if you have 

• Excellent Python programming skills, with 4+ years relevant technical experience.   
• Experience with a variety of automated testing frameworks, with ability to articulate their pros and cons in a particular context. 
• Working alongside firmware developers, manual QA testers across different cross-functional teams. 
• Proficient in several programming languages and experience developing test plans & test cases. 
• Ability to learn new technologies quickly and work independently. 
• Bachelors or masters degree in computer science or equivalent engineering experience. 
• Experience with browser‑based application testing (e.g., using Selenium).  
• Experience with iOS test automation and Apple platform tooling (e.g., XCTest / XCUITest)   
• Experience with the Appium framework for mobile UI automation. 

#LI-GL1

About the team

At Roku, the Device Monetization and Themed Experiences (DMTE) team, a part of the Advertising organization, is where the magic behind the scenes happens. We’re the engineers who build the high-performance graphics and UI foundations that power the FRAME engine — the core technology enabling Roku’s smooth, responsive, and visually rich experiences on millions of devices worldwide. Our work lives in the middleware and UI layers, and its impact is felt every time a user navigates a menu, enjoys an animated ad, or is wowed by the bespoke experience built to market the latest TV show or Movies. We thrive on solving the toughest technical challenges — from optimizing UI rendering to fine-tuning memory usage — using BrightScript (or JavaScript-like) to deliver rock-solid, high-performance solutions. We work in a collaborative, high-trust environment where great ideas can come from anywhere, partnering closely with firmware, UI, and product teams to ensure our platform is lightning fast, reliable, and ready for the next generation of streaming innovation. If you love building the invisible foundations that make great user experiences possible, this is the team for you.

About the role

As a Senior Software Engineer in the DMTE team, you’ll be at the heart of Roku’s platform innovation — designing, implementing, and optimizing BrightScript (or JavaScript-like) systems for graphics rendering and the FRAME engine. You’ll take on complex, performance-critical challenges that demand both creativity and precision, ensuring our devices deliver buttery-smooth visuals and instant responsiveness at scale. You’ll have the opportunity to shape core architecture, work across the stack with hardware, firmware, and application teams, and see your work directly impact tens of millions of users. This is a role for engineers who love deep technical problem-solving, care about performance down to the last millisecond, and want to work on technology that quietly powers an entire ecosystem. If you’re ready to push boundaries, mentor others, and help define the future of streaming, we’d love to hear from you.

What you'll be doing

• Build scalable UI features optimized for millions of users
• Lead technical investigations and architect solutions for complex middleware and UI challenges
• Integrate AI/ML capabilities and leverage generative AI tools to accelerate development
• Collaborate with cross-functional teams on global platform features
• Develop engineering tools and mentor junior developers
• Stay current with AI trends and emerging technologies

We're excited if you have

• 5+ years software engineering experience with UI development expertise
• C++ experience in an embedded environment
• Advanced BrightScript (or JavaScript-like) skills plus proficiency in Python
• Strong root cause analysis and technical communication abilities
• Knowledge of AI applications and experience with generative AI tools
• Proactive mindset with passion for continuous learning and fast iteration

#LI-NM1

About the team

At Roku, the Device Monetization and Themed Experiences (DMTE) team, a part of the Advertising organization, is where the magic behind the scenes happens. We’re the engineers who build the high-performance graphics and UI foundations that power the FRAME engine — the core technology enabling Roku’s smooth, responsive, and visually rich experiences on millions of devices worldwide. Our work lives in the middleware and UI layers, and its impact is felt every time a user navigates a menu, enjoys an animated ad, or is wowed by the bespoke experience built to market the latest TV show or Movies. We thrive on solving the toughest technical challenges — from optimizing UI rendering to fine-tuning memory usage — using BrightScript (or JavaScript-like) to deliver rock-solid, high-performance solutions. We work in a collaborative, high-trust environment where great ideas can come from anywhere, partnering closely with firmware, UI, and product teams to ensure our platform is lightning fast, reliable, and ready for the next generation of streaming innovation. If you love building the invisible foundations that make great user experiences possible, this is the team for you.

About the role

As a Senior Software Engineer in the DMTE team, you’ll be at the heart of Roku’s platform innovation — designing, implementing, and optimizing BrightScript (or JavaScript-like) systems for graphics rendering and the FRAME engine. You’ll take on complex, performance-critical challenges that demand both creativity and precision, ensuring our devices deliver buttery-smooth visuals and instant responsiveness at scale. You’ll have the opportunity to shape core architecture, work across the stack with hardware, firmware, and application teams, and see your work directly impact tens of millions of users. This is a role for engineers who love deep technical problem-solving, care about performance down to the last millisecond, and want to work on technology that quietly powers an entire ecosystem. If you’re ready to push boundaries, mentor others, and help define the future of streaming, we’d love to hear from you.

What you'll be doing

• Build scalable UI features optimized for millions of users
• Lead technical investigations and architect solutions for complex middleware and UI challenges
• Integrate AI/ML capabilities and leverage generative AI tools to accelerate development
• Collaborate with cross-functional teams on global platform features
• Develop engineering tools and mentor junior developers
• Stay current with AI trends and emerging technologies

We're excited if you have

• 5+ years software engineering experience with UI development expertise
• Advanced BrightScript (or JavaScript-like) skills plus proficiency in Python
• Strong root cause analysis and technical communication abilities
• Knowledge of AI applications and experience with generative AI tools
• Proactive mindset with passion for continuous learning and fast iteration

#LI-NM1

About the team

Our team’s mission is to build cutting-edge technology that facilitates experimentation and enables data-driven decisions, such as those for Roku. Our team provides an end-to-end solution, from intuitive management interfaces and a robust, highly scalable backend to a sophisticated data insights framework.

We are a globally distributed team with presence in the US and Europe. We value technical expertise, creativity, a strong sense of ownership and collaboration.

About the role 

At Roku, we’re building and evolving a large-scale experimentation platform that powers data-driven decision-making across the organsation. Our system supports 5,000+ experiments per year, serves 100+ million devices, and processes over 100,000 operations per second—all while maintaining high reliability and low latency.

In this role, you’ll help shape the next generation of our distributed backend. You’ll design and implement new platform capabilities such as bias avoidance mechanisms, advanced segment management, and experiment orchestration features that ensure trustworthy results at scale. At the same time, you’ll work on strengthening the system’s resilience, performance, and scalability, tackling challenges that come with high throughput and global reach.
You’ll collaborate closely with engineers, data scientists, and product partners to translate experimentation needs into robust, production-ready systems. This is a hands-on role with real impact: the work you do will directly influence how teams across the company run experiments, learn faster, and make better decisions.

What you’ll be doing

• Build and evolve high-throughput, low-latency distributed backend services in Java that power Roku’s experimentation platform at massive scale.

• Design and implement core experimentation capabilities (e.g. bias avoidance, advanced segmentation, experiment orchestration) to ensure statistically sound results across millions of users.

• Strengthen system resilience, scalability, and performance, operating reliably at 100k+ ops/sec and across 100M+ devices globally.

• Partner closely with data scientists, product, and platform engineers to translate experimentation needs into production-ready backend systems with real business impact.

We’re excited if you have 

• Degree in Computer Science or equivalent
• Expertise in Java and Spring Boot for developing robust backend applications.
• Strong knowledge of object-oriented design principles and distributed software architectures.
• Proven experience in building and maintaining solutions using both NoSQL and relational databases.
• Solid understanding and practice of test-driven development (TDD) and test automation frameworks.
• Familiarity with statistical concepts and their application within software systems.
• Demonstrated ability to design, develop, and test high-performance distributed systems.
• Experience with AWS cloud services (e.g., EC2, S3, Lambda).
• Familiarity with Istio and Kubernetes for managing microservices and container orchestration.
• Understanding of A/B testing methodologies and experience with experimentation platforms is a plus

This is a hands-on, high-impact role for someone who thrives in an environment where innovation meets engineering excellence. You’ll collaborate with a world-class team of software and hardware engineers, contributing across the entire lifecycle of building, optimising, and delivering next-generation intelligent systems.

#LI-MS3

Available Locations: Austin, Seattle, London, Lisbon, Washington DC, Toronto

About the Department

Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization.

About the Team

ETI’s Storage Infrastructure team is responsible for the core storage layer that underpins many of ETI's stateful services. Our scope ranges from managing the physical hardware to operating the distributed databases and storage systems built upon it. We run this infrastructure globally across Cloudflare's network, which presents unique and complex engineering puzzles. We navigate efficiently expanding storage capacity, optimizing rebuild operations, and coordinating operations across failure domains to uphold durability. While other service teams focus on product development, our mission is to ensure the underlying storage is reliable, performant, and scalable.

You’ll be joining a highly motivated team that is building the next generation of distributed storage services.

What You’ll Do

In this role, you will help build and operate the next generation of globally distributed storage systems. You will own your code from inception to release, delivering solutions at all layers of the stack. On any given day, you might write a design document for a new provisioning system, model failure domain dependencies across edge locations, benchmark new storage hardware, build standardized observability and runbooks for distributed database clusters, or automate operational toil through purpose-built tooling and intelligent automation. You can expect to interact with a variety of languages and technologies including Rust, Go, Saltstack, and Terraform.

Examples of desirable skills, knowledge, and experience

• Strong programming skills with languages like Rust, Go, or Python
• A solid understanding of distributed systems concepts such as consistency, consensus, data replication, fault tolerance, and partition tolerance
• Experience with distributed databases and storage systems
• Experience with infrastructure configuration tooling and infrastructure as code
• Familiarity with storage fundamentals: block devices, filesystems, SSD characteristics
• Experience building and maintaining high-throughput, low-latency systems
• Understanding of network fundamentals as they relate to distributed storage -- bandwidth constraints, latency tradeoffs, cross-datacenter replication
• Strong written and verbal communication skills and ability to explain technical decisions clearly
• Comfortable operating in fast-paced environments with tight deadlines and evolving priorities

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

Your Role

We’re hiring a Senior SDET to join one of our cross-functional product teams in our Football & Rugby group. This squad are focused on building cutting-edge solutions sports teams use to influence how they compete and recruit, supporting key products like Statsbomb and Wyscout, plus new greenfield projects as we expand.

As a Senior SDET, you’ll:

• Improve quality. You’ll drive measurable improvements in product quality and delivery speed. You’ll empower teams to solve tough challenges, bringing in proven practices that enhance quality and accelerate development.
• Collaborate. You’ll be an integral part of a cross-functional team, collaborating closely with coworkers across Engineering, Product, Design and Scrum, all to ensure the delivery of high-quality products.
• Strategise. You’ll use your customer and system understanding to create risk-based testing approaches and plans that focus on user experiences. Overall, you’ll ensure our products meet and exceed user expectations.
• Automate. By aligning our processes with development speed, you’ll make informed decisions on what, how and when to automate.
  Coach. You'll use your technical and quality expertise to guide others on the team to raise their bar. As the quality point person, you’ll influence and challenge teams to incorporate quality best practices in everything they do.

For this role, we're currently considering candidates who live within a commuting distance of our office in London. But with our flexible work policy, there aren't any current requirements for the number of days you come to the office.

Must-Haves

• A focus on quality. You understand quality in the big picture and strive to use what you know to improve quality and velocity.
• Technical know-how. You have in-depth experience with testing desktop and web applications, as well as a deep knowledge of automation and its industry-recognised principles. You've implemented the test pyramid and have experience  working with developers and QA to shift testing left.
• A customer focus. You think critically about user experience and ensure our testing approach adapts to match those workflows.

Nice-to-Haves

• Experience with Playwright. As this is one of the key frameworks we use, commercial experience with it is a plus.
• Familiarity with hardware. You’ve had experience working with relevant hardware products, such as wearable devices.

Our Role

• Champion work-life harmony. We’ll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too.
• Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you’ll own your work and have the agency to try new ideas.
• Encourage career growth. We’re lifelong learners who encourage professional development. We’ll give you tons of resources and opportunities to keep growing.
• Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. But whether you’re at the office or working remotely, we’ll provide you the tech you need to do your best work.
• Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees—but no matter where you’re located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health.

Compensation

Experienced Deep Learning Engineer for Game Technology

We are looking for a machine learning engineer with a solid understanding of low-level systems programming. If you are as comfortable in the memory view of your debugger as you are with training networks to solve problems, we would love to hear from you.

This role could suit an experienced embedded/games industry programmer with a passion for Machine Learning, or an accomplished Machine Learning/Vision programmer with a good understanding of computer architecture and performance.

About the Advanced Technology Group

The Advanced Technology Group (ATG) is a part of Foundational Systems and Experiences Engineering (FSEE) within the Platform Business Group. Established over 20 years ago as part of PlayStation’s first party game development studios, ATG's focus has always been to help game developers to get the most out of PlayStation hardware, and this is still true today. The majority of the group holds responsibility for a large part of the GPU software stack used by all PlayStation games, which allows us to collaborate with engineering teams worldwide, from third party game developers to hardware vendors, to deliver key platform technologies.

You will be part of a small creative team within ATG, tackling problems centred around computer vision and machine learning. Examples of projects include a novel facial performance capture system used to produce assets for AAA games, and building a general purpose solution for on-console inference.

The Role

You will be expected to develop innovative ML solutions for deployment in games and in the development pipeline. This also involves making technology choices, prototype solutions and bringing them to production.

Some of these systems are expected to run on millions of PlayStations in people’s homes, making high run-time performance crucial. You should stay up to date with the competition and the industry’s latest advances and academic developments. The role also involves close collaboration with our other teams in Europe, the U.S and Japan, as well as technical communication of the ideas and solutions developed.

The Essential Requirements

• Experience with modern Deep Learning and Pytorch: You will be expected to make decisions about data and architectures, to implement pipelines for training and validation and to develop and deploy models in production.

• Experience with production-facing software development and strong debugging skills. This also requires demonstrating applied engineering skills through a shipped ML network or personal project.

• Understanding of 3D maths/geometry: Including multiple-view geometry and 3D mesh representations.

Nice-to-have

• Experience with Graphics and/or Game Engines

• Experience with Computer Vision

Benefits

• Discretionary bonus opportunity
• Private Medical Insurance
• Dental Scheme
• 25 days holiday per year
• On Site Gym
• Subsidised Café
• Free soft drinks
• On site bar
• Access to cycle garage and showers

The role

We are looking for an experienced Graphics engineer with experience in real time computer graphics or games to design and implement high-quality, game-like rendering scenarios to evaluate and showcase new graphics features.

The ideal candidate would have experience in real-time rendering, ideally with PlayStation 5 graphics APIs or comparable low-level console/modern graphics APIs.

The team

Based in London, our team are part of the ‘Foundational Systems and Experiences Engineering’ group. We build the low-level SDKs and fundamental technologies used by our game development partners to create PlayStation Games.

Our team are working on the latest GPU and Machine Learning technologies to deliver the next generation of high-performance computer graphics for PlayStation.

What you’ll be doing:

• Design and implement high-quality, game-like rendering scenarios to evaluate and showcase new graphics features.
• Develop production-grade sample code, libraries, and tools for both internal teams and inclusion in the PlayStation SDK.
• Collaborate with platform, tools, and studio teams worldwide to drive adoption and guidelines.
• Influence graphics feature design through hands-on prototyping and performance analysis.
• Contribute to clear, maintainable, developer-facing code and documentation.

What we’re looking for:

• Strong C/C++ with experience in game/game-engine development ( e.g. memory management, task management)
• Strong real-time rendering experience, ideally with PlayStation 5 graphics APIs or comparable low-level console/modern graphics APIs.
• Good understanding of GPU architecture and rendering pipelines.
• Proficiency in HLSL (Shader Model 6) and modern shader development practices.
• Strong debugging and performance analysis skills (CPU/GPU).
• Excellent collaboration skills, comfortable working with globally distributed teams.
• Working experience in development practices such as SCRUM and use of collaborative source control features in GitHub.
• Degree in Computer Science, Mathematics, or equivalent experience in the industry.

Nice to haves:

• Experience with global illumination, ray tracing, or advanced lighting techniques.
• Experience creating or editing game engines
• Experience building developer-facing samples, tools, or user documentation.
• An open source body of work in GitHub or similar.

Benefits:

• Discretionary bonus opportunity
• Hybrid Working (within Flexmodes)
• Private Medical Insurance
• Dental Scheme
• 25 days holiday per year
• On Site Gym
• Subsidised Café
• Free soft drinks
• On site bar
• Access to cycle garage and showers

This senior role focuses on strengthening the quality engineering foundation for our SDK by developing robust automation, scalable CI/CD systems, and effective test strategies. You will work closely with cross-functional partners to enhance test coverage, improve workflows, and ensure reliable delivery across multiple platforms. The role requires strong technical depth, collaborative working, and the ability to drive meaningful impact quickly.

What you’ll be doing

• Designing, implementing, and maintaining CI/CD pipelines to support build, test, and release workflows.
• Developing automation and tooling in Python to streamline test orchestration and system validation.
• Creating and running automated tests across unit, integration, and system layers.
• Debugging and diagnosing issues across build, test, and deployment environments.
• Supporting Linux and Windows development environments and contributing to cross-platform scripting.
• Applying modern test frameworks and quality metrics to improve test strategy and reporting.
• Collaborating closely with multiple SDK teams to align on shared initiatives.
• Participating in rotational assignments to deepen domain expertise and broaden cross-project knowledge.
• Coordinating with teams across London, Bristol, and Dublin, including occasional travel as needed.
• Mentoring peers, sharing best practices, and influencing quality engineering approaches.

What we are looking for

• Experience building and maintaining CI/CD pipelines (Jenkins/Groovy or equivalent).
• Strong Python 3 skills for automation, tooling, and test orchestration.
• Experience developing and executing automated tests at multiple levels.
• Fluency with Linux and Windows development environments.
• Proficiency with scripting languages such as python, bash, or PowerShell.
• Ability to diagnose and resolve issues across complex build and test systems.
• Familiarity with test frameworks such as pytest, GTest, or similar.
• Understanding of software quality metrics, reporting, and test strategy.
• Experience or awareness in one or more additional areas: C/C++, CMake, C#, Rust, .NET, Docker, Kubernetes, VM orchestration, graphics APIs, AIML/MLOps, or desktop app testing.
• Strong communication and collaboration skills, with the ability to work effectively across distributed teams and represent quality engineering perspectives.

Join us and be a member of the team that tests the development tools used to create every PlayStation® game. This is a great opportunity to continue a career in Software Testing, working on industry leading development tools and being mentored by experts in their field. 

What you’ll be doing 

• Developing tests for new applications, new features and regressions. 
• Developing test strategies with application teams. 
• Automating tests as part of our continuous integration systems. 
• Investigating issues and creating reproducible test cases. 
• Conducting manual, exploratory testing. 
• Reporting test results clearly (including performance and coverage). 
• Developing tooling to help reduce test time and ease test execution. 
• Make suggestions and recommendations for improvements to help shape the finished product. 
• Collaborate with global, cross-functional teams in a multicultural environment to develop organisation-wide test strategies and infrastructure. 
• Mentoring peers, sharing best practices, and influencing quality engineering approaches. 

What we are looking for 

• 5+ years experience in developing tests for software applications. 
• Experience of automating tests. 
• A good understanding of software testing techniques. 
• Good C# programming skills. 
• Understanding of C++. 
• Experience in triaging bugs and creating reproducible tests. 
• Experience with software build tools, issue tracking and source control systems. 

Nice to have 

• Experience of Microsoft Windows applications. 
• Experience of Microsoft Visual Studio. 
• Experience of using Selenium/Appium. 
• Experience using Powershell and Python. 
• Experience of testing development tools. 
• Experience of testing on Linux & Mac. 

We anticipate that suitable candidates will demonstrate the following personal attributes 

• Proactive work ethic, with a passion for software quality and a positive customer experience. 
• The ability to gain the respect of, and work successfully with others, regardless of reporting line. 
• Influencing and persuasion skills. 
• Strong written and verbal communication skills. 
• Is thorough, patient, and works calmly under pressure. 

The role 

We are looking for a Data Engineer to join Sony Interactive Entertainment, where data plays a key role in how we build, improve and understand PlayStation experiences around the world.

As part of our Data Engineering team, you will help design, build and evolve the data processing platforms that power reporting, analytics and insight across our global business. Your work will support teams in understanding how our products are used and enjoyed, helping us make better decisions in service of our players.

You will be part of a collaborative and welcoming team that values curiosity, learning and shared problem solving. This role offers the opportunity to take ownership of meaningful work, grow your technical skills, and explore new tools and ideas in a supportive environment. Based in our London office, you will join a diverse team where different perspectives are valued and building great things together is part of the culture.

What you’ll be doing

• Designing, building and maintaining reliable data pipelines and processing components used across the business
• Writing clean, maintainable code and improving performance, data quality and cost efficiency over time
• Taking ownership of defined pieces of work, with support from the wider team, from development through to delivery
• Contributing to technical design, estimation and planning discussions to help the team deliver effectively
• Reviewing code and sharing feedback to support guidelines and collective code quality
• Working closely with project managers, analysts and other engineers to deliver work on time and to a high standard
• Operating comfortably in a fast-paced environment, balancing multiple priorities and adapting as requirements evolve
• Learning and applying new tools, technologies and approaches as the platform and team continue to grow
• Collaborating with teammates across different countries and cultures, with flexibility around time zones and ways of working

What we are looking for

Must have

• Experience as a data engineer (or similar), delivering production-ready, scalable code
• Strong SQL skills and experience with relational and analytical databases
• Programming experience in one or more of Python, Java, C or Spark-based technologies (PySpark, Spark)
• Experience contributing to data platforms handling complex, high-volume data (Databricks)
• Experience with data warehouse or analytical platforms (for example Snowflake or Teradata)
• Understanding of performance and cost considerations in data processing systems
• Strong problem-solving skills and ability to handle multiple priorities
• Clear communication skills, including explaining technical concepts to non-technical partners
• Experience working in UNIX or Linux environments, including shell scripting
• Curiosity and eagerness to learn new tools and technologies
• Eligibility to work in the UK, with ability to travel occasionally to the US and Japan

Nice to have

• Familiarity with additional data processing or integration technologies
• Experience with graphical or low-code data development tools (for example Ab Initio)
• Understanding of data modelling concepts
• Experience translating business requirements into technical solutions

Role Description:

We are looking for an independent, dedicated Machine Learning Engineer/Senior ML Engineer to join the Visual Computing Group (VCG) and contribute to redefining the world of game play and live streaming via advanced R&D. VCG’s mission is to design and deploy advanced neural networks and machine learning (ML) for game rendering and streaming systems of SIE that exceed the state-of-the-art in runtime efficiency, visual quality and latency.

What you’ll be doing:

• Develop and improve core generative models for graphics and video processing for a variety of applications, such as live video streaming, game rendering, etc.
• Research and prototyping of new methods for graphics or video enhancement, and data generation pipelines from generative models
• Collaborate with team members on drafting publications and patent submissions
• Participate and assist the team in core R&D work with other teams within Sony Interactive Entertainment

What we’re looking for:

• PhD or MSc in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post
• 3+ years of experience in demonstrable research experience in industry or academia.
• Strong background in: TensorFlow or PyTorch; Python and packages/libraries related to computer vision or graphics; evidenced by the development of advanced applications in image/video/graphics processing or computer vision (minimum of 3 years of experience for ML engineer, minimum 5 years for Senior ML engineer),
• Evidence of leading technical developments by at least 1 research publication in a top-tier conference like CVPR, ECCV, ICCV, SIGGRAPH or similar
• Solid background in one or more of the following:

(i) neural network architectures, evidenced (for example) by knowledge of how to formulate and test advanced loss functions in neural network design;

(ii) design and test of advanced convolutional, recurrent, transformer-based, diffusion-based or other neural network architectures in a task-specific manner;

(iii) some experience in training, validation and evaluation of deep neural network models on large datasets, evidenced by experience in using Python libraries like HDF5 or similar

Desired qualifications:

• Publications, e.g. in top-tier conferences and journals: IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, conferences like IEEE CVPR/ICCV/ECCV, NeurIPS, ICML, ICLR, or similar
• Some theoretical understanding of the graphics pipeline, including coordinate transformations between frames of reference, PBR materials, rasterization, lighting, and ray tracing
• Experience in image processing theory and methods, evidenced by the development of practical designs in this area
• Some experience with 3D engines such as Unreal or Unity; in particular, generation of datasets, extraction of G-buffers, motion vectors, etc.

Benefits:

• Discretionary bonus opportunity
• Hybrid Working (within Flexmodes)
• Private Medical Insurance
• Dental Scheme
• 25 days holiday per year
• On Site Gym
• Subsidised Café
• Free soft drinks
• On site bar
• Access to cycle garage and showers

About the Advanced Technology Group 

The Advanced Technology Group (ATG) is a part of Foundational Systems and Experiences Engineering (FSEE) within the Platform Business Group. Established over 20 years ago as part of PlayStation®’s first-party game development studios, ATG has always focused on helping game developers get the most out of PlayStation® hardware - a mission that continues to this day. As a team, we are responsible for large parts of the graphics software stack used by all PlayStation® games, and collaborate with leading engineering teams worldwide, from game developers to hardware vendors, to deliver key platform technologies. 

What you’ll be doing 

• You will be working on Razor GPU, a GPU performance analysis and debugging tool, for current and future PlayStation® platforms. 

• You will be developing GPU Capture and Replay technology, which allows GPU commands, shaders and resources to be captured, analysed and later reinstated, so that graphics frames can be re-executed on the GPU independently from the running game. 

• You will be developing profiling and debugging features upon this core technology, to help game developers worldwide to realize their creative vision and push PlayStation® hardware to its limits. 

• You will be developing internal features used by platform software and hardware teams, to help build and improve the PlayStation® graphics software stack, as well as diagnose low-level platform issues. 

• You will collaborate with game developers and platform engineers to gain a deep understanding of their needs, with a view to creating efficient, reliable and scalable tools, which are a joy to use for entry/new-level and deeply technical engineers alike. 

This is a unique senior engineering role at the heart of PlayStation® GPU technology, where you will work within a highly experienced technologytechnical-driven team. We are looking for developers who are passionate about their craft, the products they build, and who would like to make a lasting impact on the PlayStation® graphics software stack, its tooling, and future. 

 What we are looking for 

• Strong problem-solving skills, including the ability to design and implement highly reliable performant systems in C++. 

• Strong debugging skills, including the ability to understand and reason about complex systems, as well as unpick their interactions. 

• Experience developing on consoles, particularly using console graphics and memory management APIs. 

• An interest in GPU architecture and low-level graphics engineering. 

• Experience using GPU profiling and debugging tools. 

• An eagerness to learn and take responsibility of features end-to-end, from building core systems, to influencing end-user UX design. 

About the Role

We’re looking for a Staff Software Engineer to build AI-powered tools and integrations that plug directly into game engines, editors, clients, and backend services. You’ll deliver high-quality C++ integrations across proprietary studio engines, ship robust build/QA automation, and partner with multiple PlayStation Studios teams to make AI an everyday part of development.

What You’ll Be Doing

• Build and maintain engine/editor plugins, runtime SDKs, and services that integrate AI (LLMs and related systems) into game clients, servers, and build tools.
• Ship performant, memory-aware C++ by profiling, optimizing, and debugging across PC/console builds with tight frame budgets.
• Design stable API surfaces for game teams (C++/C API, gRPC/HTTP) with versioning, telemetry, and backward compatibility.
• Stand up CI/CD for game builds and tools (UBT or proprietary build systems; artifact packaging; nightly/regression suites; distributed/accelerated builds).
• Automate QA for tooling and in-engine features using engine test frameworks and headless runs, and wire results into CI and dashboards.
• Implement production LLM integrations (prompting, RAG/tool calls, guardrails/safety, observability, timeouts/retries, and cost controls).
• Collaborate with studio engineering, tech art, design, and QA to land integrations across varied codebases and pipelines.
• Document patterns, provide sample projects, and deliver internal training so solutions scale across PlayStation Studios.
• Influence standards and tech choices for AI in our dev stack, and contribute to shared libraries and best practices.

Qualifications

• You have at least five years of experience building production software in modern C++ (C++17/20) with strong fundamentals in memory management, concurrency, performance, and debugging.
• You have shipped tools or runtime features in AAA engines, including work on plugins/modules, asset and build pipelines, and editor/runtime integration.
• You have delivered features or tooling that integrate with LLMs or other ML services, and you understand prompt design, evaluation, safety, and telemetry for production usage.
• You have implemented engine-level automated testing (functional and integration), including headless execution and CI gating.
• You work fluently with large code/asset repositories and are comfortable with both Perforce and Git.
• You communicate clearly across disciplines and translate diverse studio requirements into pragmatic, maintainable solutions.
• You write thorough documentation and favor well-tested, maintainable code.

Nice to Have

• You have built networking/service integrations for game backends (gRPC/HTTP) and implemented telemetry/observability (logs, metrics, traces).
• You have packaged SDKs/plugins for multiple studios and managed semantic versioning and migration tooling.
• You understand console platform requirements and certification workflows.
• You are familiar with security, privacy, and responsible-AI practices in production systems.

Please note; this position can be completed remotely from The UK

We are seeking a candidate to join our game integration platform to bring gameplay and platform experiences closer together! As a team member for the Partners Platform, you will have the opportunity to work at the intersection of Business and Engineering on the PlayStation SDK Windows Delivery tooling.

You'll be responsible for helping to develop SDK Manager Windows Application, co-ordinating with business and engineering to help improve the relationship between SIE and our Game development and publishing Partners..

Role overview:

We are seeking a skilled C# Software Engineer to design and develop Windows-based applications that support the delivery and integration of SDK components for Sony PlayStation platforms. This role requires strong experience in C#, along with solid knowledge of C and C++ for low-level integration and performance-critical components.

What you'll be doing:

• Design, develop, and maintain Windows desktop applications using C# and the .NET framework
• Build tools and interfaces to support integration and delivery of PlayStation SDK components
• Work with native code (C/C++) to interface with low-level systems and SDK libraries
• Collaborate with cross-functional teams including platform engineers and SDK developers
• Debug, optimize, and improve performance across managed and unmanaged code
• Create and maintain technical documentation for internal tools and SDK workflows
• Ensure code quality through testing, code reviews, and best engineering practices
• Support build systems, packaging, and deployment of SDK-related deliverables

What we're looking for:

• Strong proficiency in C# and the .NET ecosystem (e.g., WinForms, WPF, or similar)
• Solid experience with C and C++ (memory management, pointers, native integration)
• Experience developing Windows desktop applications
• Familiarity with interop techniques (P/Invoke, C++/CLI, or similar)
• Understanding of software architecture and design patterns
• Experience with debugging tools for both managed and native code
• Knowledge of version control systems (e.g., Git)
• Strong problem-solving skills and attention to detail

Desirable Skills:

• Experience working with SDKs or developer toolchains
• Familiarity with console development environments, especially Sony PlayStation platforms
• Knowledge of build systems (e.g., CMake, MSBuild)
• Experience with performance profiling and optimization
• Understanding of security and compliance requirements in SDK distribution
• Process Optimization: Continuously refine and improve program management processes to enhance efficiency and team productivity.

Preferred Qualifications:

• Experience in Game Industry
• Familiarity with game development, cloud platforms, DevOps, and CI/CD pipelines is a plus

Benefits:

• Discretionary bonus opportunity
• Hybrid Working (within Flexmodes)
• Private Medical Insurance
• Dental Scheme
• 25 days holiday per year
• On Site Gym
• Subsidised Café
• Free soft drinks
• On site bar
• Access to cycle garage and showers

Role Description:

We are looking for an independent, dedicated Senior ML Engineer to join the Visual Computing Group (VCG) and contribute to redefining the world of game play and live streaming via advanced R&D. VCG’s mission is to design and deploy advanced neural networks and machine learning (ML) for game rendering and streaming systems of SIE that exceed the state-of-the-art in runtime efficiency, visual quality and latency.

What you’ll be doing:

• Develop and improve core generative models for graphics and video processing for a variety of applications, such as live video streaming, game rendering, etc.
• Research and prototyping of new methods for graphics or video enhancement, and data generation pipelines from generative models
• Collaborate with team members on drafting publications and patent submissions
• Participate and assist the team in core R&D work with other teams within Sony Interactive Entertainment

What we’re looking for:

• PhD or MSc in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post
• 5+ years of experience in demonstrable research experience in industry or academia.
• Strong background in: TensorFlow or PyTorch; Python and packages/libraries related to computer vision or graphics; evidenced by the development of advanced applications in image/video/graphics processing or computer vision (minimum of 3 years of experience for ML engineer, minimum 5 years for Senior ML engineer),
• Evidence of leading technical developments by at least 1 research publication in a top-tier conference like CVPR, ECCV, ICCV, SIGGRAPH or similar
• Solid background in one or more of the following:

(i) neural network architectures, evidenced (for example) by knowledge of how to formulate and test advanced loss functions in neural network design;

(ii) design and test of advanced convolutional, recurrent, transformer-based, diffusion-based or other neural network architectures in a task-specific manner;

(iii) some experience in training, validation and evaluation of deep neural network models on large datasets, evidenced by experience in using Python libraries like HDF5 or similar

Desired qualifications:

• Publications, e.g. in top-tier conferences and journals: IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, conferences like IEEE CVPR/ICCV/ECCV, NeurIPS, ICML, ICLR, or similar
• Some theoretical understanding of the graphics pipeline, including coordinate transformations between frames of reference, PBR materials, rasterization, lighting, and ray tracing
• Experience in image processing theory and methods, evidenced by the development of practical designs in this area
• Some experience with 3D engines such as Unreal or Unity; in particular, generation of datasets, extraction of G-buffers, motion vectors, etc.

Benefits:

• Discretionary bonus opportunity
• Hybrid Working (within Flexmodes)
• Private Medical Insurance
• Dental Scheme
• 25 days holiday per year
• On Site Gym
• Subsidised Café
• Free soft drinks
• On site bar
• Access to cycle garage and showers

The role

We are looking for a Senior Graphics Engineer with strong experience in real-time computer graphics and game development to design and implement high-quality, game-like rendering scenarios that evaluate, validate, and showcase new graphics features.

In this role, you will drive technical direction through hands-on development, prototyping, and performance analysis, influencing the design and adoption of rendering technologies across teams.

The ideal candidate brings deep expertise in real-time rendering, ideally with PlayStation 5 graphics APIs or comparable low-level console or modern graphics APIs, and a proven ability to deliver robust, scalable solutions while collaborating effectively with globally distributed teams.

The team

Based in London, our team are part of the ‘Foundational Systems and Experiences Engineering’ group. We build the low-level SDKs and fundamental technologies used by our game development partners to create PlayStation Games.

Our team are working on the latest GPU and Machine Learning technologies to deliver the next generation of high-performance computer graphics for PlayStation.

What you’ll be doing

• Lead the design and development of high-quality, game-like rendering scenarios to evaluate, validate, and showcase new graphics features at scale.
• Own and deliver production-grade sample code, libraries, and tools for internal teams and inclusion in the PlayStation SDK, ensuring robustness, scalability, and long-term maintainability.
• Drive cross-team collaboration with platform, tools, developer support and studio teams globally to establish guidelines and enable successful adoption of new rendering technologies.
• Influence graphics feature direction through hands-on prototyping, deep technical investigation, and performance analysis across CPU and GPU.
• Define and uphold engineering standards for developer-facing code, ensuring clarity, usability, and high-quality documentation.
• Mentor other engineers and contribute to the technical growth of the team.

What we’re looking for

• 6–10+ years of professional experience in software engineering, with a strong focus on game development or real-time rendering.
• Expert-level C/C++ with significant experience in game or game engine development (e.g., memory systems, job systems, low-level optimization).
• Deep experience in real-time rendering, ideally with PlayStation 5 graphics APIs or comparable low-level console / modern graphics APIs (e.g., Vulkan, DirectX 12).
• Strong understanding of GPU architecture, rendering pipelines, and performance trade-offs across CPU/GPU boundaries.
• Advanced proficiency in HLSL (Shader Model 6) and modern shader development techniques.
• Proven ability to debug, profile, and optimize complex systems across CPU and GPU.
• Demonstrated ability to design systems and make sound technical trade-offs.
• Strong collaboration and communication skills, with experience working across globally distributed teams.
• Experience with modern development practices (e.g., SCRUM) and collaborative workflows using GitHub.
• Degree in Computer Science, Mathematics, or equivalent experience in a practical setting.

Nice to haves

• Experience architecting or significantly contributing to game engines or rendering frameworks.
• Experience developing and optimising advanced rendering techniques such as global illumination, ray tracing, or hybrid rendering approaches.
• Experience building high-quality developer-facing samples, tools, or user documentation used by external developers.
• Track record of technical leadership, including mentoring engineers or leading projects/features.
• Contributions to open source projects or a strong public technical portfolio (e.g., GitHub).

Benefits:

• Discretionary bonus opportunity
• Hybrid Working (within Flexmodes)
• Private Medical Insurance
• Dental Scheme
• 25 days holiday per year
• On Site Gym
• Subsidised Café
• Free soft drinks
• On site bar
• Access to cycle garage and showers

About the Advanced Technology Group 

The Advanced Technology Group (ATG) is a part of Foundational Systems and Experiences Engineering (FSEE) within the Platform Business Group. Established over 20 years ago as part of PlayStation®’s first-party game development studios, ATG has always focused on helping game developers get the most out of PlayStation® hardware - a mission that continues to this day. As a team, we are responsible for large parts of the graphics software stack used by all PlayStation® games, and collaborate with leading engineering teams worldwide, from game developers to hardware vendors, to deliver key platform technologies. 

What you’ll be doing 

• You will be working on the current and future rendering APIs used by PlayStation games, as well as the hardware underpinning them. 

• You will design and implement features that enable efficient game development, push GPU programming forward, and create a healthy platform. 

• You will observe industry trends, understanding of – and empathy for – our customers, and business needs as the foundation of your decision making. 

• You will help shape the path of the PlayStation graphics stack going forward. 

• You will collaborate with the platform software and hardware teams, as well as game developers. 

• You will often take the role as the game-developer advocate when working with the platform teams, or the role as the platform-team advocate when working with game developers. 

This is a senior position at the core of PlayStation GPU technology with an unusual degree of influence on future of console graphics-programming. ATG is granted a high degree of trust and autonomy in shaping the graphics software stack and we are looking for people who are passionate about carrying this forward. You will not be spending your time in committee meetings or writing endless proposals, this is very much an engineering role where your primary role is to determine what needs to be implemented, how best to implement it and to then sit down, code, debug. We believe that this practical focus is crucial in building up the skill, experience, and insight required to make the large-scale and long-term decisions we have been entrusted with. 

What we are looking for 

• Experience and interest in low-level graphics architecture and engineering. 

• Experience writing rendering code on top of multiple existing rendering APIs. 

• Experience writing rendering code on console. 

• The ability to keep an eye on the big picture, even when deep in the weeds. 

• An eagerness to learn and to take responsibility for the long run. 

Location: This role can be based at our office in Bothell, WA (US) or in Oxford, England (UK).
Travel: Twice per year
Job ID: 1453

The Role

As a Staff Software Engineer for Developer Tools, you will be responsible for delivering the next generation of quantum compiler tools and features, with the focus of integration into quantum software applications, overall developer experience, documentation and developer tooling. Your work will involve setting high-level technical standards, mentoring senior engineers and scientists, and providing deep expertise to solve the most challenging problems in quantum compilation, optimization, and hardware interfaces. You will drive the adoption and enhancement of critical, user-facing compiler infrastructure, ensuring our tools are aligned with cutting-edge quantum research (e.g., advanced error mitigation, novel compiler optimization techniques). You will work across organizational boundaries, Compiler, QEC, Applications, and Engineering, to support scientific breakthroughs and define the technical strategy for packaging, documentation, and release processes for major components of IonQ’s developer tooling ecosystem.

The Developer Tools team builds the critical software layer for IonQ’s quantum software tools. In this Staff role, you will be a key driver in shaping the future of this ecosystem, and bridging the gap between critical parts of our engineering and computing organizations. Your impact will be measured by the successful delivery of critical, cross-functional projects and the elevation of technical execution across the entire team.

As a Staff Software Engineer, your influence extends beyond a single project; you define the technical bedrock upon which IonQ's developer ecosystem is built. The compiler is the critical interface where quantum algorithms are realized on hardware, and your architectural decisions will dictate the performance ceiling and accessibility of our systems. You will lead the charge in making advanced quantum techniques, from sophisticated hardware-aware compilation to state-of-the-art error mitigation, seamlessly available to every developer. This role offers the unique opportunity to leverage your deep experience to solve fundamental technical challenges, mentor the next generation of quantum software leaders, and accelerate the global adoption of quantum computing.

Responsibilities

• Define the technical strategy and roadmap for major components of the compiler toolchain, optimization suite, and developer interfaces, ensuring long-term maintainability and performance.
• Serve as the primary architect and technical lead for large, complex engineering projects spanning multiple teams (e.g., integrating a new compilation paradigm or full-stack error mitigation strategy).
• Drive the design and implementation of highly scalable and robust interfaces for hardware-specific compilation features, including advanced pulse-level control and system diagnostics.
• Establish best practices and mentor engineers on software architecture, design patterns, testing methodologies, and maintainership.
• Collaborate closely with research teams to evaluate, prototype, and productize novel quantum algorithms and compilation techniques, bridging the gap between research and production.
• Oversee the comprehensive documentation, examples, tutorials, and packaging strategy for all compiler-related developer tools to ensure ease of adoption and a world-class user experience.
• Act as a key technical resource for the Applications Engineering team, providing deep expertise to employ compilation techniques to solve customer-specific challenges and gather requirements for new features.
• Champion continuous improvement in software engineering processes, automated testing, CI/CD, and validation standards across the Developer Tools organization.

Requirements:

• Bachelor's degree in Computer Science, Engineering, Physics, or a related field, or equivalent training, fellowship, or work experience.
• 10+ years of professional software engineering experience, with a significant portion spent in a technical leadership or architectural role.
• Deep expertise in Python and experience designing and maintaining large-scale, performance-critical software systems.
• Expert-level understanding of quantum computing principles, quantum circuits, optimization techniques, and compiler fundamentals.
• Proven track record of driving complex, cross-functional engineering projects from concept to production delivery.
• Experience in system-level architecture and design, translating high-level requirements into clear, actionable technical specifications and implementation plans.
• A history of mentorship and elevating the technical capabilities of a multi-level engineering team.
• Familiarity with Agentic AI coding tools and techniques, and experience integrating them into modern software development workflows.
• Exceptional written and verbal communication skills, with a track record of authoring impactful technical papers, specifications, and external documentation.

Preferred Qualifications:

• An advanced degree (PhD or Master's) in Physics, Computer Science, or a related field with a focus on quantum computing or compiler technologies.
• Direct experience in compiler development (classical or quantum), particularly with optimization passes, intermediate representations, or static analysis tools.
• Deep expertise in system-level programming (C++, Rust) for high-performance computing or hardware interaction.
• Significant contributions to open-source software, especially in the quantum computing ecosystem (e.g., Qiskit, Pennylane, Cirq, ucc, jeff).
• Experience with low-level hardware control, pulse-level programming, dynamic circuits, or systems programming.
• A strong background in applied quantum error correction (QEC) or advanced quantum error mitigation techniques.
• A demonstrated ability to influence technical direction across organizational boundaries and secure buy-in for strategic initiatives.

The approximate base salary range for this position is $167,808 - $219,704 (USD). The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.

Location: This role can be based at our office in Bothell, WA (US) or in Oxford, England (UK).
Travel: Twice per year
Job ID:  1452

The Role

As a Senior Software Engineer for Developer Tools, you will be a key contributor to the software that connects quantum developers to IonQ's hardware. You will focus on contributing to quantum compiler tools and features that our users and internal research teams depend on to run applications. You will build tooling to give users deep insights into how their circuits are optimized and create intuitive, user-friendly interfaces for hardware-specific compiler passes, such as quantum error mitigation and quantum error correction, and ensure our tools are robust and well-documented. You will work closely with our Compiler, QEC, and Applications teams to take new features through development, testing, documentation, packaging, and release, and use software engineering best practices to document, distribute, and use them in quantum software applications.

The Developer Tools team builds the critical software layer for the quantum ecosystem. In this role, you will help shape an ecosystem of tooling that turns high-level quantum circuits into optimized instructions for our quantum computers. Your work will directly impact the performance, reliability, and capabilities of quantum applications running on IonQ systems by focusing on the compiler's application-facing features and its connection to the hardware.

The compiler is where quantum algorithms meet quantum hardware. Your work sits at the heart of this critical transformation. The tools you build will define how developers interact with our systems, enabling them to extract maximum performance, trust the compilation process, and tailor optimization strategies for their specific use cases.

By focusing on compiler tools for applications, you empower developers to tackle real-world problems and push the boundaries of what's possible on quantum computers. You'll make advanced techniques accessible, from sophisticated error mitigation to hardware-aware compilation. This role offers a unique opportunity to work with world-class researchers and translate their innovations into production software that accelerates the path to quantum advantage for everyone.

Responsibilities:

• Design, build, and maintain compiler toolchains, optimization tools, and circuit transformation libraries for developer-facing applications.
• Work with the Compiler and Applications teams to package, test, and document new compilation features for both internal and external developers.
• Architect and implement interfaces for hardware-specific compilation features, giving developers deeper control and visibility.
• Integrate automated error mitigation, quantum error correction, and other advanced compilation strategies into our cloud platform and SDKs.
• Maintain comprehensive documentation, examples, and tutorials for compilation workflows.
• Support the testing and validation of compilation features across different IonQ backends and system configurations, and capabilities such as mid-circuit measurement and branching.
• Collaborate with the Applications Engineering team to understand and address customer needs related to compilation and circuit optimization.

Requirements:

• Bachelor's degree in Computer Science, Engineering, Physics, or a related field, or equivalent training, fellowship, or work experience.
• 6+ years of professional software engineering experience in team environments.
• Deep proficiency in Python, our primary language.
• Experience with quantum computing, with an understanding of quantum gates and circuits.
• Familiar with the fundamentals of quantum compilation, error mitigation and quantum error correction.
• Experience with software maintenance, user community stewardship and software engineering best practices.
• Experience working with research or academic concepts and integrating them into scientific software workflows.
• Familiarity with Agentic AI coding tools and techniques such as skills, docstring generation, code review, and software engineering best practices.
• A track record of creating clear, comprehensive technical documentation.
• Experience with automated testing, CI/CD pipelines, and scientific software validation.
• Strong collaboration skills, with experience working across research and engineering teams.

Preferred Qualifications:

• 8+ years of professional software experience.
• An advanced degree (PhD or Master's) in Physics, Computer Science, or a related field with a focus on quantum computing.
• A background in compiler development for either classical or quantum systems.
• An interest in or experience with hardware-level and hardware-specific compilation, such as pulse-level control or dynamic circuits.
• System-level programming experience with C++ or Rust for performance-critical code.
• Deep experience with quantum compilers, circuit optimization, or quantum error correction.
• Experience with quantum computing SDKs (Qiskit, Pennylane, Cirq).
• Understanding of trapped-ion quantum computing systems and their specific noise characteristics.
• Proficiency with or strong interest in open-source compiler tools like ucc and jeff
• Publications or significant contributions to quantum computing research or open-source projects.

The approximate base salary range for this position is $145,920 - $191,047 (USD). The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.

PsiQuantum’s mission is to build the first useful quantum computers—machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems. 

Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries. 

Our architecture and approach is based on silicon photonics. By leveraging the advanced semiconductor manufacturing industry—including partners like GlobalFoundries—we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don’t feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. 

In 2024, PsiQuantum announced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining—and that now is the time to scale. 

PsiQuantum also develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to prepare quantum solutions for real-world impact. 

Quantum computing is not an extension of classical computing. It represents a fundamental shift—and a path to mastering challenges that cannot be solved any other way. The potential is enormous, and we have a clear path to make it real. 

Come join us. 

Job Summary:

PsiQuantum is seeking a Quantum Electronics Engineer to support the development of advanced electronic and electro-optic systems for quantum computing.

In this role, you will work closely with senior engineers to design and implement high-performance electronic solutions for controlling and reading out quantum photonic hardware. This includes RF design, electro-optic modulation, and low-latency control systems.

Responsibilities:

• Design and develop RF and high-speed electronic systems for quantum hardware applications.
• Support the design of electro-optic (EO) packages and modulator driving electronics.
• Develop low-latency electronic solutions for quantum system control and readout.
• Work on readout systems for superconducting nanowire single-photon detectors (SNSPDs).
• Collaborate with photonics and quantum teams to integrate electronics with optical systems.
• Assist in FPGA-based system design and implementation for control and data acquisition.
• Participate in debugging and optimization of complex quantum hardware systems.

Experience/Qualifications:

• Degree (PhD or equivalent experience) in Electrical Engineering, Physics, or a related field.
• Strong background in RF and high-speed electronic design.
• Experience working with electro-optic systems or photonic hardware.
• Understanding of signal integrity, noise, and timing in high-performance systems.
• Hands-on laboratory experience with electronic test and measurement equipment.

Desired Skills:

• Experience designing electronics for quantum or cryogenic systems.
• Familiarity with FPGA development and programming.
• Knowledge of superconducting nanowire detectors and readout electronics.
• Experience with low-latency system design and high-speed data acquisition.
• Experience with ASIC design or collaboration with ASIC development teams for high-speed or low-latency electronic systems.

PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws.

Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to recruiting@psiquantum.com.

We are not accepting unsolicited resumes from employment agencies.

Available Locations: London (hybrid), the Netherlands (remote), Paris, or Munich

About the Role

Cloudflare’s Forward Deployed Engineers (FDEs) operate at the intersection of product engineering and customer impact.

As an FDE, you will be embedded within one of Cloudflare’s most strategic global customers, working side-by-side with their engineering teams to build and deploy solutions using Cloudflare’s platform. Unlike traditional Solutions Architects or consultants, you will write production code, shape technical architecture, and directly influence how Cloudflare products are used at massive scale.

You will operate as a technical extension of both organizations - helping the customer ship faster while surfacing real-world product insights back to Cloudflare engineering.

This role is ideal for engineers who want to:

• Stay deeply technical
• Work on real production systems
• Influence product direction
• Build long-term partnerships with world-class engineering teams

Responsibilities

• Deep Technical Embedding: Serve as the dedicated, long-term technical partner within a strategic customer’s engineering organization, operating as a trusted extension of their team.
• Production-Level Engineering: Design, build, and deploy production-ready code and configurations directly into customer infrastructure using the Cloudflare platform.
• Technical Accountability: Own the account's technical success across the entire Cloudflare portfolio. Serve as the primary technical point of contact, with other Cloudflare technical resources taking direction from your technical strategy for the account.
• Operational Integration: Participate in customer engineering rituals, including daily standups, design reviews, and real-time incident response.
• Platform Advocacy & Adoption: Identify opportunities to accelerate the adoption of Cloudflare services, unlocking new capabilities across the customer’s tech stack.
• Platform Breadth & Depth: Deep technical competence in building production applications on a modern stack, combined with the willingness and ability to go deep on all Cloudflare product areas. From Workers to security, networking, and observability.
• Feedback Loop & Product Influence: Surface real-world edge cases and product gaps directly to Cloudflare’s Product and Engineering teams to influence the developer platform roadmap.
• Strategic Relationship Management: Establish and maintain trusted technical relationships with senior leadership (Staff+ engineers, Directors, and VPs).
• On-Site Presence: Maintain a regular on-site presence at customer locations to foster deep collaboration and cultural alignment.

Requirements

• Proven Engineering Pedigree: 5+ years of professional software engineering experience. You are a builder at heart, with a track record of delivering production-grade systems, not just advising on them.
• Production Ownership & Operational Maturity: You have owned mission-critical services with real-world users. You understand the gravity of on-call rotations, the urgency of incident response, and the architectural rigor required to maintain "five nines" uptime.
• Active Practitioner: You are currently in the IDE. You have a "ship-first" mentality and maintain a high velocity, staying current with modern frameworks, languages, and deployment patterns.
• Full-Stack Architectural Depth: Broad technical fluency across the entire stack—from frontend performance and backend logic to database optimization and distributed infrastructure.
• AI-Native Development: You have integrated AI-augmented workflows (e.g., Windsurf, OpenCode) into your daily development cycle to accelerate prototyping and delivery.
• Systems Design & Strategic Thinking: Ability to decompose complex business requirements into scalable, resilient technical architectures. You can visualize the "big picture" without losing sight of the implementation details.
• Cloud Ecosystem Fluency: Deep experience with at least one major cloud provider (AWS, GCP, or Azure), including an understanding of serverless, networking, and security primitives.
• High Agency & Navigating Ambiguity: You are a self-starter who thrives in "zero-to-one" environments. You don't wait for a ticket; you identify the problem and own the solution from end-to-end.
• Executive Presence: Comfortable engaging in high-stakes technical and strategic discussions with VP-level stakeholders, with the ability to translate complex engineering trade-offs into business impact.
• Fluency in Hebrew and English

Nice to Have

• Direct experience building on Cloudflare Workers, or the broader Cloudflare Developer Platform.
• Previous experience at a fast-paced startup or in a customer-facing engineering role where you operated directly within a partner’s codebase.
• A visible public profile, including open-source contributions, technical blogging, or speaking engagements at industry conferences.

PsiQuantum’s mission is to build the first useful quantum computers—machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems. 

Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries. 

Our architecture and approach is based on silicon photonics. By leveraging the advanced semiconductor manufacturing industry—including partners like GlobalFoundries—we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don’t feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. 

In 2024, PsiQuantum announced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining—and that now is the time to scale. 

PsiQuantum also develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to prepare quantum solutions for real-world impact. 

Quantum computing is not an extension of classical computing. It represents a fundamental shift—and a path to mastering challenges that cannot be solved any other way. The potential is enormous, and we have a clear path to make it real. 

Come join us. 

Job Summary:

PsiQuantum is building the world’s first fault-tolerant quantum computer, enabled by large-scale photonic integration. We are seeking an Optical Packaging & Assembly Engineer to join our UK R&D facility at Daresbury Laboratory.

In this role, you will work closely with a senior engineer to rapidly develop and prototype next-generation optical packaging solutions for photonic integrated circuits (PICs). You will collaborate across mechanical, electronic, and quantum hardware teams to enable the assembly and testing of cutting-edge optical quantum computing systems.

Responsibilities:

• Support the design and rapid prototyping of optical packaging solutions for PIC-based quantum hardware.
• Develop and implement fibre-to-chip alignment and attachment processes for high-performance optical coupling.
• Assist in the design of scalable packaging architectures, working alongside senior engineers.
• Collaborate with mechanical and electronic engineers to ensure integrated, manufacturable designs.
• Work closely with quantum physicists to support the build and testing of optical quantum systems.
• Contribute to the development of assembly workflows, processes, and documentation.
• Support component selection, procurement, and BOM development for prototype builds.
• Analyse experimental results and provide feedback to improve packaging performance and robustness.

Experience/Qualifications:

• PhD in Physics, Engineering, or a related discipline (or equivalent experience).
• Hands-on experience with optical assembly, fibre alignment, or opto-mechanical systems.
• Familiarity with photonic integrated circuits and optical packaging techniques.
• Experience working in a laboratory environment supporting experimental hardware development.
• Strong problem-solving skills and ability to work in a fast-paced R&D setting.

Desired Skills:

• Experience with fibre arrays, optical connectors, or precision alignment systems.
• Knowledge of DFM principles for optical packaging.
• Experience working in cross-functional engineering teams.
• Familiarity with optical measurement and characterization techniques.

PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws.

Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to recruiting@psiquantum.com.

We are not accepting unsolicited resumes from employment agencies.

About the role:

Token Factory is a part of  Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to deploy at massive scale.

Responsibilities:

• Develop and optimize low-level kernels and runtime components for AI inference 

• Improve performance of inference engines GPU platforms 

• Profile and debug system-level and hardware-level performance issues 

• Integrate support for new hardware architectures (Hopper, Blackwell, Rubin) 

• Collaborate with ML and backend teams to optimize end-to-end execution 

Required Qualifications:

• Strong proficiency in C++, OR expertise in GPU programming with a focus on low-level high-performance coding and memory management 

• Experience in GPU programming or systems-level software development, e.g. operating system internals, kernel modules, or device drivers 

• Hands-on experience with profiling and debugging tools to identify performance issues on both CPUs and GPUs, and the ability to optimize code based on those findings. 

• Solid understanding of CPU/GPU architecture and memory hierarchy 

Preferred Qualifications: 

• Experience with GPU computing programming: CUDA, ROCm, CUTLASS, Cute, ThunderKittens, Triton, Pallas, Mosaic GPU 

• Familiarity with ML inference runtimes (e.g. TensorRT, TVM) 

• Knowledge of Linux internals, drivers, or compiler toolchains 

• Experience with tools like perf, VTune, Nsight, or ROCm profiler 

• Familiarity with popular inference engines (e.g. such as vLLM, sglang, TGI) 

We conduct coding interviews as part of the process.

The role

Token Factory is a part of Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference & fine-tuning platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to train & deploy at massive scale.

• Advanced Fine-Tuning: Enhancing fine-tuning methodologies - both LoRA-based and full-parameter - for cutting-edge LLMs (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-4.7), focusing on both model quality and training efficiency.

• Inference Optimization: Identifying LLM inference bottlenecks to drive production speedups. This involves building model training and evaluation pipelines in JAX for speculative decoding, experimenting with architectures (dense/MoE, auto-regressive/parallel), and deriving scaling laws to guide resource allocation.                                                                                
• Low Precision Training & Inference: Investigating low-precision (FP8, NVFP4/MXFP4) methodologies for supervised fine-tuning and reinforcement learning - spanning both inference and training - optimized for modern hardware

We expect you to have:

• A profound understanding of theoretical foundations of machine learning and reinforcement learning.

• Deep expertise in modern deep learning for language processing and generation

• Experience with training large models on multiple computational nodes

• Reasonable understanding of performance aspects of large neural network training (sharding strategies, custom kernels, hardware features etc.)

• Strong software engineering skills (we mostly use Python)

• Deep experience with modern deep learning frameworks (we use JAX)

• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing

• Strong communication and leadership abilities

Nice to have:

• Previous experience working with language models or other similar NLP technologies.

• Familiarity with important ideas in LLM space, such as MHA, RoPE, ZeRO/FSDP, Flash Attention, quantization

• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.

• Strong engineering skills, including experience in developing large distributed systems or high-load web services.

• Open-source projects that showcase your engineering prowess

• Excellent command of the English language, alongside superior writing, articulation, and communication skills.

The role

We’re looking for a Backend Engineer to contribute to the development of our hyperscaler platform.

Your responsibilities will include:

Develop fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more.

We expect you to have: 

• 5+ years of professional software engineering experience;
• Knowledge of C++ programming language;
• Knowledge of Python, Java, and Go is a plus;
• Ability to write reliable code and dig into complex problems;
• Teamwork-oriented approach;
• Fluency in English.

Nice to have:

Experience designing high-load and scaling services.

We conduct coding interviews as part of the process.

Token Factory is a part of  Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to deploy at massive scale. To deliver on that promise, we need an engineer who can make the platform behave flawlessly under extreme load and recover gracefully when the unexpected happens.

In this role you will own the reliability, performance, and observability of the entire inference stack. Your day starts with designing and refining telemetry pipelines — metrics, logs, and traces that turn hundreds of terabytes of signal into clear, actionable insight. From there you might tune Kubernetes autoscalers to squeeze more efficiency out of GPUs, craft Terraform modules that bake resilience into every new cluster, or harden our request-routing and retry logic so even transient failures go unnoticed by users. When incidents do arise, you’ll rely on the automation and runbooks you helped create to detect, isolate, and remediate problems in minutes, then drive the post-mortem culture that prevents recurrence. All of this effort points toward a single goal: scaling the platform smoothly while hitting aggressive cost and reliability targets.

Success in the role calls for deep fluency with Kubernetes, Prometheus, Grafana, Terraform, and the craft of infrastructure-as-code. You script comfortably in Python or Bash, understand the nuances of alert design and SLOs for high-throughput APIs, and have spent enough time in production to know how distributed back-ends fail in the real world. Experience shepherding GPU-heavy workloads — whether with vLLM, Triton, Ray, or another accelerator stack — will serve you well, as will a background in MLOps or model-hosting platforms. Above all, you care about building self-healing systems, thrive on debugging performance from kernel to application layer, and enjoy collaborating with software engineers to turn reliability into a feature users never have to think about.

If the idea of safeguarding the infrastructure that powers tomorrow’s multimodal AI energizes you, we’d love to hear your story.

The team

Customer experience at Nebius GPU AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.

The role

We are seeking a highly skilled and customer-focused leader to join our team as a Cloud Solutions Architect Lead. As a team leader, you will play a pivotal role in customer success across EU region, both managing the efforts of Cloud Solutions Architects team (technical and process excellence, talent development) and building processes alongside your stakeholders. Player-coach mentality and proven track record of managing high expertise teams is a must. 

You’re welcome to work from our office in Amsterdam or remotely from any EU country.

Your responsibilities will include: 

• Lead and mentor a team of Solutions Architects, fostering a culture of technical excellence, customer empathy, and collaborative execution.
• Oversee and participate in technical engagements including PoCs, workshops, architecture reviews, and trainings.
• Drive consistency and quality across infrastructure design, IaC practices, technical documentation, and customer enablement content.
• Collaborate closely with Product and Development teams, representing customer needs and helping shape the roadmap.
• Guide customers in optimizing ML/AI/HPC pipelines for performance, scalability, and cost-efficiency on Nebius  cloud infrastructure.
• Build visibility and ownership culture amongst Solutions Architects.

We expect you to have: 

• 5+ years of experience in a technical role (Solutions Architect, DevOps Engineer, ML Engineer, or similar) with a focus on cloud-native systems and distributed computing.
• 2+ years of experience leading or mentoring customer facing engineering teams.
• Deep hands-on experience with Infrastructure as Code (Terraform, Ansible), Kubernetes, and cloud automation.
• Strong communication and stakeholder management skills across both technical and non-technical audiences.
• Passion for developing scalable, reliable cloud architectures and driving customer success.

It will be an added bonus if you have: 

• Experience with HPC or ML orchestration frameworks (e.g., Slurm, Kubeflow, Ray).
• Strong coding skills in Python and experience with GPU computing environments for ML/AI workloads.
• Proficient in GPU stack components (e.g., CUDA, cuDNN) and cloud-native patterns for ML training/inference.
• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX).
• Understanding of cloud-based ML tools and offerings from NVIDIA, AWS, Azure, or Google Cloud.
• Experience participating in or leading technical contributions to conferences or open-source communities. 

Nebius is looking for a Senior Technical Recruiter to strengthen our Talent Acquisition team and help us attract top technical talent. In this role, your primary focus will be on active sourcing and building strong pipelines of backend engineers, system engineers, and technology experts to support the company’s continuous growth.

Remote working, Based in the UK (London) OR Netherlands, working Hybrid from Amsterdam.

Your responsibilities will include:

• Technical Talent Sourcing: Proactively identify and engage engineers and other tech specialists through diverse channels (LinkedIn, GitHub, Boolean Search, professional communities, conferences, forums, networking, employee referrals).

• Pipeline Development: Build, maintain, and continuously refresh a pool of qualified engineers and developers for current and future hiring needs; provide funnel statistics to Hiring Managers (e.g., number of applicants, time to hire, etc.).

• Candidate Engagement: Craft personalized outreach and communication to spark interest and showcase opportunities at Nebius. Engage in pre-onboarding activities and contribute to HR projects.

• Screening: Conduct resume reviews and initial calls to assess candidates’ technical background, experience, and motivation.

• Collaboration with Hiring Managers: Partner with engineering leaders to deeply understand role requirements and design effective sourcing strategies.

• Market Research & Insights: Stay on top of industry trends, tech community activity, and competitor hiring practices. Identify the best companies to target for top-tier technical talent.

We expect you to have:

• 4+ years of experience in technical recruitment, specializing in Backend/General Tech such as (but not limited too): Software Engineers, Python Engineers, Platform Engineers, Cloud Platform Engineer, Site Reliability and Infrastructure Engineers, DevOps, Systems Engineers and Data Platform Engineers.

• Strong sourcing expertise and familiarity with tech talent pools, platforms, and communities.

• Deep understanding of tech subject areas, developers’ roles, technologies, and motivations, plus insight into which companies are the best sources of top candidates.

• Ability to manage multiple priorities and work in a fast-paced environment.

• Excellent follow-through, organizational, presentation, and communication skills (both written and verbal).

• Creative problem-solving skills with the ability to adapt quickly.

The role

We are seeking a highly skilled and customer-focused professional to join our team as a Solutions Architect specializing in Cloud infrastructure and MLOps. As a Cloud Solutions Architect, you will play a pivotal role in designing and implementing cutting-edge solutions for our clients, leveraging cloud technologies for ML/AI teams and becoming a trusted technical advisor for building their pipelines.

You’re welcome to work from the United Kingdom.

Your responsibilities will include: 

• Act as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement. Conduct PoC, workshops, presentations, and training sessions to educate clients on GPU cloud technologies and best practices.
• Collaborate with clients to understand their business requirements and develop solution architecture that align with their needs: design and document Infrastructure as code solutions, documentation and technical how-tos in collaboration with support engineers and technical writers.
• Help customers to optimize pipeline performance and scalability to ensure efficient utilization of cloud resources and services powered by Nebius AI.
• Act as a single point of expertise of customer scenarios for product, technical support, marketing teams.
• Assist to Marketing department efforts during events (Hackathons, conferences, workshops, webinars, etc.)

We expect you to have: 

• 5+ years of experience as a cloud solutions architect, system/network engineer, developer or a similar technical role with a focus on cloud computing
• Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, skills of writing code in Python
• Solid understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers, libraries (e.g. CUDA, OpenCL)
• Excellent communication skills
• Customer-centric mindset

It will be an added bonus if you have: 

• Hands-on experience with HPC/ML orchestration frameworks (e.g. Slurm, Kubeflow)
• Hands-on experience with deep learning frameworks (e.g. TensorFlow, PyTorch)
• Solid understanding of cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google) 

The role

This role is for Nebius AI R&D, a team focused on applied research and the development of AI-heavy products. Examples of applied research that we have recently published include:

• investigating how test-time guided search can be used to build more powerful agents;
• dramatically scaling task data collection to power reinforcement learning for SWE agents;
• maximizing efficiency of LLM training on agentic trajectories.

One example of an AI product that we are deeply involved in is Nebius Token Factory — an inference and fine-tuning platform for AI models.

This role will require expertise in distributed systems to build large-scale LLM training platform.

Your responsibilities will include: 

• Designing and developing LLM training platform.
• Maintaining our ML infrastructure, ensuring optimal performance, scalability and reliability.
• Improving job scheduling strategies to minimize resource fragmentation. 

We expect you to have:

• 5+ years of professional software development experience.
• Strong software engineering skills (we mostly use Python and Go).
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing.
• Experience with developing web services.
• A commitment to maintaining extreme rigor in all job-related activities.

Nice to have:

• Previous experience working with language models or other similar NLP technologies.
• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
• Strong engineering skills, including experience in developing large distributed systems or high-load web services.
• Open-source projects that showcase your engineering prowess.

Nebius Managed Kubernetes (mk8s) mission is to grow the Nebius cloud platform by providing a Kubernetes-native way to run AI systems with high efficiency and low operational overhead.
With a single click, it provides a Kubernetes cluster on top of Nebius services for compute (VMs) and networking.
In 2026, the service is scaling 10× and is expected to manage customer workloads across tens of thousands of GPU servers in more than 10 data centers.

You will lead the mk8s Core team, one of three mk8s teams. The Core team owns the API, the core of the service control plane, cluster autoscaling, platform integrations, and running k8s add-ons.

At Nebius, team leads are hands-on. We expect you to be a senior or staff engineer now (or earlier in your career). You will start as an individual contributor to gain context, then take on managerial responsibilities.

In this position, you will be responsible to:

• Lead by example. Set the quality bar by spending a significant portion of your time on IC work: writing and reviewing code, leading projects, and participating in on-call rotation, incident mitigation, and post-incident analysis.
• Manage 4–8 mid-to-senior engineers. Provide context, coach, and give regular feedback.
• Maintain the technical vision for your area of responsibility.
• Collaborate with the Product Manager and Service Owner to shape product vision and plans.

Examples of outcomes you could drive as a Team Lead

• Optimize the service control plane to create and manage 20K GPU nodes in a single Kubernetes cluster, enabling a major contract for the company.
• Integrate cluster autoscaling approaches (e.g., Karpenter) to improve resource utilization and support seamless auto-upgrades.
• Provide a Kubernetes-native way to use local disks to reduce disk I/O bottlenecks for AI training and inference, improving efficiency.
• Deliver managed Layer 7 load balancers to reduce operational overhead for customers.

What you will bring to the table:

• 8+ years of professional software engineering or management experience
• Excellent knowledge of Golang, or you are ready to quickly switch to this programming language
• Expertise with
• Multi-month technical projects
• Tech leading engineers
• Owning multi-month technical projects.

It would be an added bonus if you had:

• Experience with Team management, Kubernetes administration, Developing Kubernetes controllers

The role 

The Data Engineering team is responsible for building and maintaining robust data infrastructure that powers analytics, and business intelligence across Nebius. We design and implement scalable data pipelines, optimize data storage and processing, and enable data-driven decision making across the organization. The team works closely with product teams and business stakeholders to ensure alignment with company goals.We are looking for a Data Engineer to design, build, and maintain our data infrastructure and pipelines. You will work on processing large-scale datasets, optimizing data workflows, and enabling analytics capabilities that support our rapidly growing cloud platform.

Your responsibilities: 

• Design, develop, and maintain scalable data pipelines.
• Build and optimize data infrastructure.
• Implement data quality monitoring and validation frameworks.
• Optimize data storage, processing, and query performance for large-scale datasets.
• Design and implement data models for analytics and reporting use cases.
• Develop tools and automation to improve data engineering workflows and productivity.
• Ensure data governance, security, and compliance standards are met.
• Participate in on-call rotation to support production data systems.

Must-haves: 

• 3+ years of experience in data engineering or related roles.
• Experience building and maintaining data pipelines using orchestration tools (e.g., Airflow, Prefect, Dagster).
• Strong proficiency in SQL and solid programming skills in Python.
• Experience with distributed data processing frameworks (e.g., Apache Spark, or similar).
• Knowledge of data modeling principles and best practices.
• Understanding of data architectures and storage systems.

Nice-to-haves: 

• Experience with real-time data streaming platforms.
• Familiarity with Infrastructure as Code tools (Terraform, etc).
• Experience with containerization (Docker) and Kubernetes.
• Knowledge of data governance and privacy frameworks (GDPR, SOC2).
• Knowledge of data quality and observability tools (Great Expectations, etc.).

We conduct coding interviews as part of the process.

We are seeking a Senior Applied ML Engineer to join a fast-growing team building an agent-native search platform for AI systems, the emerging web access layer for AI. You will develop and deploy machine learning models that power retrieval, ranking, and indexing at scale, helping AI systems access fresh, reliable information in real time. This is a high-impact role working on a production system used 24x7, tackling challenges comparable to large-scale web search.

Your responsibilities:

• Design, train, and deploy ML models for retrieval, reranking, and search relevance in production
• Build and optimise embedding-based indexing and large-scale retrieval systems
• Develop models supporting crawling, data selection, and content understanding
• Define and improve quality metrics for agent-native search and build evaluation pipelines
• Work on systems operating at very large scale, including high-throughput query workloads
• Collaborate closely with engineering teams to integrate ML models into production services
• Analyse performance trade-offs across latency, quality, and cost
• Experiment with and apply state-of-the-art techniques in search, retrieval, and LLM-integrated systems
• Contribute to product and architectural decisions in a fast-moving environment

Must-haves:

• 5+ years of experience in software engineering or applied machine learning
• Strong programming skills in Python, Go, or C++
• Proven experience deploying ML models in production systems
• Hands-on experience with retrieval, ranking, recommendation, or similar ML problems
• Strong understanding of machine learning and modern deep learning techniques
• Experience working with large-scale data systems and high-throughput environments
• Ability to design evaluation frameworks and define meaningful model metrics
• Product-oriented mindset with a focus on impact and iteration
• Strong problem-solving skills and ability to work in a distributed team

Nice-to-haves:

• Experience with search systems or large-scale information retrieval
• Familiarity with embeddings, transformers, and modern NLP systems
• Experience working on LLM-powered or agent-based systems
• Contributions to open-source projects, technical publications, or conference talks
• Participation in competitive ML (e.g. Kaggle) or similar signals of strong technical ability

We conduct coding interviews as part of the process.

The Product

In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible.

We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale.

The Role

We are looking for a Senior Software Engineer to work on the indexing and data processing layer of a novel search engine tailored for agentic AI consumption.

In this role, you will focus on building systems that ingest, process, and organise massive volumes of data into efficient, queryable structures. You will work primarily on offline and nearline pipelines, ensuring that data is fresh, complete, and efficiently accessible by downstream retrieval systems. You will operate in an environment where throughput, scalability, and correctness are critical — designing systems capable of handling tens of gigabytes per second across continuously evolving datasets.

In this position, your responsibility will be to

• Design, implement, and operate large-scale indexing systems and data pipelines that sit at the core of our search infrastructure
• Build ingestion workflows for internal and external data sources, including web-scale crawling and structured feeds
• Develop and optimise indexing strategies balancing performance, freshness, and resource efficiency
• Work on storage formats, compaction strategies, and update mechanisms to keep data accessible and current
• Ensure reliability and predictability of pipelines under high-throughput conditions
• Build well-tested components with clear responsibilities and interaction contracts, while remaining flexible as the system evolves
• Define and implement observability primitives, including structured logs, metrics, and data quality signals across offline and nearline pipelines
• Monitor throughput, resource usage, and cost, and drive optimisations when business needs require it
• Collaborate with runtime and ML teams to ensure indexing outputs meet retrieval and ranking requirements
• Enable safe experimentation on indexing strategies and data processing logic through controlled rollouts and clearly defined quality signals

You may be a good fit if you:

• Have 5+ years of experience building production backend or data systems
• Have strong hands-on experience with Go in real-world, high-load services (experience with other systems languages such as C++ or Rust is a plus)
• Have worked on systems at significant scale — such as 10k+ RPS or 10+ GiB/sec throughput
• Have experience building or operating databases, data planes, or large-scale data pipelines
• Understand distributed systems fundamentals, including fault tolerance, failure modes, and horizontal scalability
• Have operated your own systems in production: handled incidents, made real-world tradeoffs, and understand what running data infrastructure at scale truly involves
• Think in terms of systems and data flows rather than isolated components, reasoning end-to-end about how data moves through the stack
• Can make pragmatic decisions under pressure without compromising long-term system health
• Collaborate effectively across infrastructure, ML, and product teams, communicating clearly in cross-functional settings

Strong candidates may also have experience with:

• Distributed data processing frameworks such as Spark, Flink, MapReduce, or Beam
• Content systems including web crawling, scraping, proxying, or anti-bot infrastructure
• Ad tech, social networks, or other large-scale content platforms
• DBMS internals (open source or SaaS) and cloud infrastructure
• Open-source contributions or active involvement in the engineering community
• Competitive programming or CTF participation (ICPC, IOI, or similar)
• SHAD or similar advanced technical programmes
• Conference talks or technical publications

We conduct coding interviews as part of the process.

The role

We are seeking a customer-obsessed Solutions Architect to lead technical engagement with Nebius customers across Europe. This role is focused on presales excellence, strong technical storytelling, and driving adoption of Nebius AI Cloud across a wide range of industry segments.

As a Solutions Architect, you will act as a trusted technical partner to customers, helping them understand, evaluate, and adopt Nebius for their AI/ML and high-performance computing workloads. You will combine deep technical expertise with strong communication skills to clearly articulate Nebius’ value proposition and differentiate our platform in a competitive market.

You’re welcome to work remotely from Europe.

Your responsibilities will include:

• Own end-to-end technical presales engagements, from discovery through solution design, PoC execution, and production readiness
• Serve as a trusted technical advisor to customer stakeholders, including CTOs, Heads of AI/ML, and platform engineering teams
• Deliver compelling technical presentations, demos, and workshops that clearly communicate the value of Nebius across different customer segments
• Execute demos and PoCs to demonstrate performance, scalability, and cost efficiency of Nebius solutions
• Translate customer requirements into scalable, production-ready architectures and best practices
• Collaborate closely with Sales, Product, and Engineering to align customer needs with Nebius capabilities and roadmap
• Act as a technical advocate for customers internally, ensuring feedback is incorporated into product and go-to-market strategy
• Support regional go-to-market efforts, including events, meetups, webinars, and technical content creation
• Contribute to building repeatable technical playbooks and assets for the European market

We expect you to have:

• 2–5+ years of experience in technical roles such as Solutions Architect, Cloud Architect, Sales Engineer, or similar, with strong customer-facing exposure
• Proven experience in presales or customer-facing technical roles, including discovery, solution design, and PoC execution
• Strong ability to deliver technical pitches and clearly explain complex infrastructure and AI/ML concepts to both technical and business audiences
• Experience positioning cloud or infrastructure solutions and articulating value propositions in competitive environments
• Solid understanding of ML/AI workloads, including training and inference, and the underlying infrastructure requirements
• Experience with cloud platforms, Kubernetes, and distributed systems
• Hands-on experience with Infrastructure as Code (e.g., Terraform) and scripting/programming (Python preferred)
• Strong communication and storytelling skills, with the ability to adapt messaging across different customer segments
• Deep understanding of the European market, including customer expectations, buying behaviors, and local ecosystem
• Fluency in English plus another language preferred (both written and spoken), with the ability to engage confidently with local customers and stakeholders
• A highly customer-centric mindset, with the ability to balance technical depth and business value

It will be an added bonus if you have:

• Experience with GPU-accelerated workloads and AI infrastructure (NVIDIA ecosystem, CUDA, etc.)
• Hands-on experience with MLOps tools and frameworks (Kubeflow, MLflow, etc.)
• Familiarity with HPC environments and schedulers (e.g., Slurm)
• Experience contributing to regional go-to-market or developer/community initiatives

The role

We are looking for a Customer Engineer to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.

You’re welcome to work remotely from Europe.

Your responsibilities will include:

• Serve as the primary technical point of contact for troubleshooting and resolving complex AI/ML issues.
• Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
• Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
• Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
• Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.

We expect you to have:

• Experience: 5+ years in roles like Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
• Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
• Experience with Kubernetes and Python programming.
• Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
• Customer-centric approach with a proven ability to build trust and foster long-term relationships.
• Strong ability to explain technical concepts to technical and non-technical audiences.

It will be an added bonus if you have:

• Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
• Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
• Proven experience mentoring technical teams and driving team growth.
• Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.

The role

Token Factory is a part of Nebius Cloud, one of the world's largest GPU clouds, running tens of thousands of GPUs. We are building a high-performance inference and fine-tuning platform designed to push foundation models to their hardware limits. Our mission is to maximize throughput, minimise latency, and optimise cost-per-token across tens of thousands of GPUs.

Some directions we are currently working on, and which you can be a part of:

• Inference Optimization: Identifying LLM inference bottlenecks to drive production speedups. Squeezing the maximum performance for a wide range of LLM architectures at scale (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-5).
• Inference engines support: Implement novel speculative decoding architectures, optimise components of various LLM designs (dense/MoE, autoregressive/parallel), and contribute to open-source inference engines.
• Low Precision Training & Inference: Design and productionise low-precision (FP8, NVFP4/MXFP4) training and inference pipelines with measurable gains in throughput and cost-efficiency.

We expect you to have:

• A profound understanding of theoretical foundations of machine learning and transformer architecture.
• Experience profiling GPU workloads using Nsight, PyTorch profiler, or similar tools
• Understanding of GPU memory hierarchy and compute/memory tradeoffs
• Familiarity with important ideas in LLM space, such as MHA, RoPE, KV-cache, Flash Attention, and quantisation
•  Understanding of performance aspects of large neural network training (sharding strategies, custom kernels, hardware features etc.)
•  Strong software engineering skills (we mostly use Python)
• Deep experience with modern deep learning frameworks
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing
• Strong communication and leadership abilities

Nice to have:

• Experience working with open-source inference engines (vLLM, SGLang, TensorRT-LLM), including contributions
• Experience with kernel languages or DSLs such as Triton, Cute, CUTLASS, CUDA
• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
• Strong engineering skills, including experience in developing large distributed systems or high-load web services.
• Open-source projects that showcase your engineering prowess
•  Excellent command of the English language, alongside superior writing, articulation, and communication skills.

• Serverless AI has clear product-market fit with measurable activation and retention metrics improving quarter over quarter.
• Multi-node jobs and autoscaling endpoints are shipped and adopted by customers running production workloads.
• Cold start time is reduced from 1-3 minutes to under 60 seconds for common workloads through a combination of product and infrastructure improvements you drove.
• Developer experience (CLI, docs, error messages, onboarding flow) sets the standard that developers expect from a next-generation AI cloud.
• At least 3 product decisions you made are directly attributable to customer conversations or data analysis you conducted.

• Co-own the Serverless AI product roadmap — Jobs, Endpoints, and DevPods — taking primary ownership of specific product areas while collaborating closely with the other PM on shared priorities and cross-cutting decisions.
• Write detailed, technically precise PRDs that engineering teams can execute against. Our PRDs specify CLI syntax, API contracts, state machines, and billing models — not abstract feature descriptions.
• Make build/buy/defer decisions on capabilities like autoscaling, multi-node orchestration, HTTPS termination, secret injection, and health checking based on customer signal and strategic priorities.

• Understand the full workload lifecycle: container image pull → VM provisioning → GPU attachment → workload execution → cleanup — well enough to identify bottlenecks and propose solutions.
• Evaluate technical trade-offs in areas like container cold start optimization (image caching, snapshot restore, warm pools), GPU scheduling and bin-packing, and storage mount performance.
• Work directly with engineers on architecture decisions for distributed training support, endpoint autoscaling policies, and fault tolerance mechanisms.
• Stay current on the fast-moving serverless GPU infrastructure space — new inference frameworks (vLLM, TensorRT-LLM, SGLang), container runtimes, orchestration approaches — and translate trends into product direction.

• Run customer discovery and feedback sessions with ML engineers and platform teams at AI startups and enterprises. Turn qualitative insight into specific product actions.
• Analyze usage data, activation funnels, and churn patterns to identify where users get stuck and what features drive retention.
• Track market dynamics, emerging technologies, and industry trends to inform product strategy and ensure Nebius stays ahead of where the market is heading.
• Define and iterate on pricing, packaging, and tier strategy for Serverless AI.

• Own the technical content strategy: quickstart guides, tutorials, reference architectures, and example workloads that reduce time-to-first-job.
• Partner with marketing on developer-focused campaigns, webinars, and conference presence.
• Work with Solution Architects and Sales to qualify serverless-fit opportunities and support technical evaluations.

• You have built, shipped, and iterated on infrastructure or platform products used by developers or ML engineers. Not consumer apps. Not dashboards. Infrastructure.
• You understand containers at a practical level — Docker, image registries, container runtimes, resource limits, networking. You've debugged why a container won't start, why GPU isn't visible inside it, or why a mount isn't working.
• You have working knowledge of GPU computing for AI/ML: what GPU types exist and when to use them, how training and inference workloads differ in resource requirements, what vLLM / TensorRT-LLM / Triton are and why they matter.
• You can read a CLI reference and know if it's well-designed. You've shaped developer-facing APIs, CLIs, or SDKs.
• You have run real customer discovery — not surveys, but technical conversations with engineers where you learned something that changed your product direction.
• You have 3+ years of product management experience in cloud infrastructure, AI/ML platforms, or developer tools.

• Ability to whiteboard a workload lifecycle (submit → schedule → provision → execute → cleanup) and identify failure modes at each step.
• Understanding of autoscaling trade-offs: scale-to-zero vs. warm pools, scaling metrics (queue depth, latency, utilization), cold start implications.
• Familiarity with inference serving concepts: batching, model loading, quantization, KV-cache management, multi-model serving.
• Understanding of distributed training concepts: data parallelism, model parallelism, communication overhead, checkpointing.
• Ability to reason about pricing models: per-second vs. per-request vs. per-token, and how pricing interacts with product architecture.

• Experience at a serverless or GPU cloud company.
• Hands-on ML engineering background — you've trained models, deployed inference endpoints, or built ML pipelines yourself.
• Experience with Kubernetes for ML workloads (Kubeflow, KServe, Ray Serve) and understanding of why many ML teams want to avoid it.
• Prior experience building a product from early stage to scale in a fast-growing market.
• Background in systems engineering, distributed systems, or site reliability engineering.

• You are more comfortable in a terminal than in a slide deck.
• You form strong opinions based on data and direct customer signal, and you update them when evidence changes.
• You are energized by building at pace — small team, fast-evolving product, big opportunity.
• You care about developer experience at the level of error messages, CLI flag naming, and documentation quality.
• You'd rather ship a smaller thing that works perfectly than a bigger thing that's mediocre.

About Nebius

Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training. 

Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023).  

Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East. 

Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. We’re growing and expanding our products every day. 

If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

The role

Nebius seeks a Key Customers Solutions Architect to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.

You’re welcome to work remotely from Europe.

Your responsibilities will include: 

• Serve as the primary technical point of contact, troubleshooting and resolving complex AI/ML.
• Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
• Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
• Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
• Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.

We expect you to have:

• Experience: 5 - 10 + years in roles like Cloud Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
• Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
• Experience with Kubernetes and Python programming.
• Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
• Customer-centric approach with a proven ability to build trust and foster long-term relationships.
• Strong ability to explain technical concepts to technical and non-technical audiences.

It will be an added bonus if you have:

• Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
• Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
• Proven experience mentoring technical teams and driving team growth.
• Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.

New data center development:

We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment.

The role

As a Field Network Engineer at Nebius, you will be responsible for providing IT support at remote locations and deploying data center IT infrastructure in new regions. Your primary focus will be managing projects and IT operations, primarily at our London, England data center, home to a major GPU cloud installation. This role requires frequent travel to support IT operations at other sites. 

You’re welcome to work in our location in London, England, UK. 

Your responsibilities will include: 

• Assist in the preparation and deployment of new infrastructure for upcoming launches.
• Troubleshoot and resolve hardware and network-related issues within our data centers.
• Manage and coordinate remote IT operations by collaborating with smart hands in co-located facilities. Be prepared to travel for on-site installations and technical support.
• Work closely with cross-functional teams and external contractors to ensure seamless project execution.
• Develop and maintain comprehensive technical documentation detailing service operations and best practices.

We expect you to have:

• 3+ years of hands-on experience in project planning and technical problem-solving.
• Strong understanding of network technologies, including data center, server and network equipment.
• Proficiency in IT hardware components, diagnostics and troubleshooting.
• Proactive, responsible, and goal-oriented mindset.
• Excellent written and verbal communication skills in English.
• Willingness to travel regularly for business trips.
• Relevant certifications (e.g., CCNA, CCNP)
• Valid Driving License 

It will be an added bonus of you have: 

• ITIL or/and PMI Certification