Rust Jobs in Bristol.
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Senior Software Development Engineer in Test
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Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
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.
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Ready to apply?
Apply to PlayStation Global
We’re looking for an engineer who wants to own Bazel at scale and build the tooling that powers every part of Fractile, from ML models to kernel drivers to hardware simulation.This is a greenfield Bazel role in a fast-growing deep-tech company building a new class of ML hardware and software from first principles.
What you’ll work on:
Designing and owning Bazel rules and extensions
Scaling our monorepo as we grow across Python, C++, Rust, SystemVerilog and ML workloads
Creating reproducible, multi-language build pipelines
Optimising CI performance across large compute clusters
Defining the developer experience for every engineer at Fractile
Contributing upstream to Bazel rules we depend on
Why this role is unique?
No legacy — you’re building the Bazel ecosystem from scratch
Extreme variety — ML, compilers, kernel drivers, simulators, hardware verification
High impact — your work becomes the backbone of the entire engineering organisation
Deep collaboration with Simulation, Runtime, and Hardware teams
Real ownership — you shape how Fractile builds software
What we’re looking for:
5+ years in software or infrastructure engineering
3+ years with build systems
Strong experience with Bazel
Python scripting and automation
Experience with CI/CD for large-scale products
Bonus: ML pipelines, GitHub Actions, multi-language build systems, containers
Ready to apply?
Apply to FractileAt Fractile, we’re taking a revolutionary approach to computing to run the world’s largest language models 100x faster than existing systems. Our fast-growing team is working at the cutting edge of the latest AI developments in both hardware and software. Want to get involved?
We are looking for Senior ML Runtime Engineers with experience of key ML software ecosystem components to work on inference server integrations and the runtime stack of our ground-breaking AI accelerators. You can be based in either our London office or Bristol, the choice is yours.
In this role, you will:
- Integrate Fractile's innovative AI acceleration hardware with leading open source projects like PyTorch, vLLM, and SGLang
- Develop our underlying high-performance Rust runtime
- Work with hardware, lower-level software, and ML engineers in a highly collaborative hardware-software co-design methodology
It would be great if you have:
- Proven experience of working with major ML software ecosystem projects
- A good understanding of the latest ML workloads and inference deployment challenges
- Excellent Python and Rust skills and solid experience of industry standard development tools and technologies
- A creative and innovative mindset, and a willingness to take ownership and drive results in a fast-paced environment
- Computer Science, Electronic Engineering, Maths, Physics, or related degree and 5+ years of industry experience
You may also have:
- Experience of working with GPUs or other machine learning accelerators
- Previous experience in a startup or small team environment
Ready to apply?
Apply to FractileAt Fractile, we believe that we are building the worlds fastest and most energy efficient AI inference chip from the ground up. Half the company is dedicated to hardware design and the other half to software. Our team works hand in hand with the hardware engineers to extract every last drop of performance from the architecture, and we are building a world class interdisciplinary team to make that happen.
About the role:
We are creating a new team of Rust engineers to work on greenfield software with members having scope to influence architecture, direction and engineering practices from day one.
In this role, you will:
- Write Rust server side software to build a reference implementation of a full AI inference stack specifically tuned to take advantage of the hardware we are building, including a Linux kernel driver in Rust. The hardware will be housed in data centres so the remit of work includes building out all the required cloud based tooling as well.
- You will be expected to conduct your own research into the state of the art in AI inference and implement these ideas. You will be encouraged to take initiative and make sense of difficult problems in unfamiliar areas.
What we are looking for:
- We are looking for creative problem solvers and generalists who have the grit to tackle hard problems.
- Experience in serving AI workloads (for example vLLM, SGLang or Rust equivalents) or strong systems level engineering experience. If you don’t have AI experience then experience in a wide range of complimentary industries would also be beneficial. Specifically experience moving large amounts of data around in real time at low latency, paging, caching etc.
- We will consider candidates without commercial Rust experience as long as they are strong senior developers in another systems language (e.g. C/C++ etc.) and can demonstrate proficiency in Rust through open source contributions and/or personal projects.
If you have a portfolio of Rust projects that you have authored and can share then this will help in the selection process.
We will not subject you to online algorithmic-style testing but any interview will be very technical and you will be expected to have a background in computer science and a deep understanding of Rust. In particular, your ability to read unfamiliar code, understand it and point out problem areas is important to us.
Languages:
- Rust, C, C++ and Python
About us:
- Founded in 2022, team of 70+ which is expanding rapidly
- Modern, open offices in London and Bristol
- Collaborative, problem-solving culture built on deep curiosity, entrepreneurial initiative and technical fluency
- Fractile offers hybrid working. You will be able to work in either our London or Bristol office three days per week and for from home for the remaining two days.
Export control and security clearance:
Certain roles may involve working on technologies subject to export restrictions. Applicants may be required to undergo additional eligibility checks to ensure compliance with applicable law.
Ready to apply?
Apply to FractileBristol or London, 3 days in the office, 2 days WFH
At Fractile, we’re building what we believe will be the world’s fastest AI inference chip from the ground up. We’re balanced across hardware and software engineering, and HW/SW co-design is how we work. We move fast, and we help each other move fast. We care about each other, the software we ship, and the people who rely on it.
We build the control chain that powers on, monitors, updates, and protects devices and racks across bare metal, RTOS, and embedded Linux. It’s production-critical software that keeps racks stable, updates safe, and hardware secure. It’s a critical layer in turning a tokens per second benchmark into a tokens per month system, turning great silicon into reliable output at rack scale.
You’ll be there for the first racks coming to life and rollout days where update safety matters. Your work makes the difference between a bad failure and a clean recovery path. This is the work that makes the system something operators can trust.
What you’ll do
- Develop firmware and services for management controllers at every level: rack management, BMC, and board/device controllers (RTOS and bare metal)
- Build systems software for board and rack management, from early bring-up through to production deployment
- Implement the critical flows that keep fleets healthy: power-on and provisioning, monitoring/telemetry, updates, recovery, and security
- Integrate with the wider host/device stack (drivers and runtime libraries) so the system works end-to-end
- Work closely with hardware and device software teams to define reliable interfaces, validate behaviour, and debug boundary issues
What we’re looking for
- Proven experience shipping production-critical, reliable embedded systems across two or more of: bare metal, RTOS, embedded Linux (or deep expertise in one with clear ability to ramp the others)
- Strong C and/or Rust, and excellent engineering judgement around safety, testing, debugging, and failure modes
- A reliability-first mindset: you design for observability, diagnosability, and recovery paths that are predictable and testable
- Comfortable working close to the hardware/software boundary (bootloaders/BSP/kernel-adjacent work) and collaborating tightly with HW, driver, and runtime teams
- Collaborative and high-ownership. You communicate clearly, move fast, and enjoy working through hard problems with others
- Computer Science, Electronic Engineering, Maths, Physics, or related degree and 3+ years of industry experience
Nice to have
- Embedded platform / systems firmware experience (board management, BMC-style stacks, rack controllers)
- OpenBMC experience and/or embedded Linux image build/customisation experience
- Zephyr (or similar RTOS) experience
- Security-minded, with practical instincts around secure boot, signed updates, device identity, and designing systems that fail safe and recover cleanly (direct experience in some areas is a plus)
- Kernel device work (drivers, device tree, bring-up, perf/trace)
- Hardware bring-up experience, including lab tools (logic analysers, oscilloscopes, waveform viewers)
- RISC-V familiarity
- Experience with GPUs or ML accelerators
If you want to build the control software that keeps rack-scale systems stable, safe, and secure for next-gen AI, come build it together.
Ready to apply?
Apply to FractileBristol or London, 3 days in the office, 2 days WFH
At Fractile, we’re building what we believe will be the world’s fastest AI inference chip from the ground up. We’re balanced across hardware and software engineering, and HW/SW co-design is real here. We move fast, and we help each other move fast. We care about each other, the software we ship, and the people who rely on it.
On the device, close to the metal, we write the runtime software that orchestrates work across the chip and runs performance-critical ML kernels. This is where performance gets real and the wins compound. Your work directly influences trade-offs for the silicon, system deployment, and the compiler.
You'll drive the first accelerator compute runs, evaluating performance on silicon, running early benchmarks, and feeding results back into the hardware and software roadmap.
What you’ll do
- Write and optimise performance-critical ML kernels in C, with assembly where it matters (RISC-V and our own ISA)
- Build the low-level control paths that feed those kernels, including scheduling, synchronisation, and data movement
- Write targeted validation workloads and microbenchmarks to keep simulation and hardware behaviour aligned and performance measurable.
- Profile, benchmark, and track regressions so performance improvements are real and repeatable
- Work closely with simulation, hardware, ML, compiler, firmware, and runtime engineers in a tight loop, turning profiling data into architecture feedback and real performance wins.
What we’re looking for
- Proven deeply embedded software experience
- Strong performance instincts. You can reason about low-level architecture, memory behaviour, and where the cycles are spent
- Excellent C, and a pragmatic approach to building high-quality, maintainable low-level code
- Comfortable writing and debugging optimised assembly (RISC-V ideal)
- Collaborative and high-ownership. You communicate clearly, move fast, and enjoy working through hard problems with others
- Computer Science, Electronic Engineering, Maths, Physics, or related degree and 3+ years of industry experience
Nice to have
- Experience with GPUs or dedicated ML accelerators
- Rust and/or Python experience
- Experience with simulators (functional or performance) and writing validation or benchmarking workloads
- Familiarity with modern ML inference workloads
If you want to build the software that turns cutting-edge hardware capability into real throughput and low latency, come build it with us.
Ready to apply?
Apply to FractileBristol or London, 3 days in the office, 2 days WFH
At Fractile, we’re building what we believe will be the world’s fastest AI inference chip from the ground up. We're balanced across hardware and software engineering, and HW/SW co-design is real here. We move fast, and we help each other move fast. We care about each other, the software we ship and the people who rely on it.
This role sits at the boundary between host and silicon. The kernel driver is key to keeping pace with our ultra-fast devices on cutting-edge server platforms. It’s a high-leverage layer where each win shows up as real throughput and latency gains.
You’ll be there for the pre-silicon simulations, first bring-up, first end-to-end runs, and the moments where performance jumps because of something you shipped.
What you’ll do
- Design, develop, and maintain the Linux kernel driver for Fractile’s AI accelerator
- Build the performance-critical kernel-space paths that keep the host stack moving: PCIe device management, DMA, memory handling, interrupt handling, and robust recovery paths
- Define and evolve the userspace interface the runtime depends on, with a focus on stability, debuggability, and performance
- Work in a tight co-design loop with hardware, firmware, runtime and ML engineers: validate assumptions, iterate on behaviour, and close gaps early
- Improve tooling/workflows so we move fast without breaking things
What we’re looking for
- You’ve shipped and maintained Linux kernel device drivers in production. Experience with PCIe-attached devices and custom hardware interfaces is ideal.
- Strong systems and performance instincts. You can reason about computer architecture, concurrency, and where the time goes
- Excellent C and/or Rust, and a pragmatic approach to building high-quality, maintainable & secure kernel code
- You enjoy hard kernel and system-level problems, and you take them end-to-end until the measurements move
- Computer Science, Electronic Engineering, Maths, Physics, or related degree and 3+ years of industry experience
Nice to have
- GPUs / ML accelerators / high‑throughput I/O (NICs, RDMA, storage)
- Hardware bring‑up or pre‑silicon simulation experience
- Performance work: profiling, tracing, benchmarking, regression tracking
If you want to build the software where every driver win unlocks huge system performance, come build it together.
Ready to apply?
Apply to FractileAbout Graphcore
At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.
Job Summary
Our team is at the forefront of the artificial intelligence revolution, enabling innovators from all industries and sectors to expand human potential with technology. The availability of specialised artificial intelligence compute will be a decisive factor in AI’s rate of progress. Graphcore allows innovators to go further, faster. What we do really makes a difference. Reporting to the Director of Silicon Architecture, the SoC Architects are responsible for the design, specification, modelling and integration of sub-systems within complex, high performance and highly integrated silicon devices at the forefront of AI acceleration technology. The role involves close collaboration with other groups, including architecture, silicon design, verification, hardware and software teams.
The Team
The Silicon Architecture Team sits within the COO group. The SoC architects are responsible for the architectural specification, integration, modelling, validation and evaluation of numerous critical sub-systems, including high-speed interfaces for our upcoming AI acceleration platforms.
Responsibilities and Duties
- Distilling product requirements and their effects on SoC/platform design trade-offs
- Collaborating with processor, SoC and system architects to determine optimal solutions
- When required, guiding silicon design, verification, and hardware engineers to ensure implementation correctness
- Evaluating potential hard and soft third-party IP and liaising with third party IP vendors
- Design and specification of performant SoC sub-systems and their associated integrations
- Manages queries for the silicon bring-up, characterisation and evaluation activities as required
- Drives delivery of technical objectives
- Advise on planning for infrastructure and processes
- Silicon Architecture Team representation within cross-functional working groups
- Mentors' technical engineers
Candidate Profile
Essential:
- Degree in Electronic Engineering, Computer Science or related subject
- Experience in the technical specification of complex silicon SoC devices
- Strong software development experience
- Solid understanding of complex computer/SoC architecture
- Excellent communication skills
- Strong experience in the writing of technical specifications
- Knowledge of RTL development and verification processes
- Be highly motivated, a self-starter, and a team player
- Ability to work across teams and programming languages
Desirable
- Architecture modelling experience in Python/C++/Rust
- Experience of machine learning or massively parallel computing systems
- Verilog
- Knowledge of one or more of DDR, PCIe, Ethernet, on-chip networks
Benefits
In addition to a competitive salary, annual leave policy, medical and dental health plans, a gym card and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Ready to apply?
Apply to Graphcore
About Graphcore
At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.
Job Summary
Our team is at the forefront of the artificial intelligence revolution, enabling innovators from all industries and sectors to expand human potential with technology. The availability of specialised artificial intelligence compute will be a decisive factor in AI’s rate of progress. Graphcore allows innovators to go further, faster. What we do really makes a difference. Reporting to the Director of Silicon Architecture, the SoC Architects are responsible for the design, specification, modelling and integration of sub-systems within complex, high performance and highly integrated silicon devices at the forefront of AI acceleration technology. The role involves close collaboration with other groups, including architecture, silicon design, verification, hardware and software teams.
The Team
The Silicon Architecture Team sits within the COO group. The SoC architects are responsible for the architectural specification, integration, modelling, validation and evaluation of numerous critical sub-systems, including high-speed interfaces for our upcoming AI acceleration platforms.
Responsibilities and Duties
- Defines team infrastructure and processes
- Distilling product requirements and their effects on SoC/platform design trade-offs
- Collaborating with processor, SoC and system architects to determine optimal solutions
- When required, providing technical knowledge silicon design, verification, and hardware engineers to ensure implementation correctness
- Good experience potential hard and soft third-party IP and liaising with third party IP vendors
- Design and specification of performant SoC sub-systems and their associated integrations
- Manages queries for the silicon bring-up, characterisation and evaluation activities as required
- Drives delivery and planning of technical objectives
- Advise in planning for infrastructure and processes
- Silicon Architecture Team representation within cross-functional working groups
- Mentors' senior technical engineers
Candidate Profile
Essential:
- Degree in Electronic Engineering, Computer Science or related subject
- Experience in the technical specification of complex silicon SoC devices
- Strong software development experience
- Solid understanding of complex computer/SoC architecture
- Excellent communication skills
- Strong experience in writing and developing technical specifications
- In depth knowledge of RTL development and verification processes
- Be a self-starter, able to motivate and support team members
- Ability to work across teams and programming languages
Desirable
- Architecture modelling experience in Python/C++/Rust
- Experience of machine learning or massively parallel computing systems
- Verilog
- Knowledge of one or more of DDR, PCIe, Ethernet, on-chip networks
Benefits
In addition to a competitive salary, annual leave policy, medical and dental health plans, a gym card and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Ready to apply?
Apply to Graphcore
About us
Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.
It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.
Job Summary
As a Graduate Engineer in the Analysis Tools Team you will work as part of a team developing profiling tools to help users optimise their applications on Graphcore hardware
The Team
The Analysis Tools team builds profiling tools to help users optimise their applications for Graphcore hardware. The team is responsible for collecting profiling information from the hardware and software, processing the profiling data and presenting it to the user via libraries, command line tools and graphical applications.
Responsibilities and Duties
- Design, development and testing of features for profiling.
- Fixing bugs and supporting customers.
- Knowledge sharing and collaborating with other engineers in the team.
Candidate Profile
Essential:
- Bachelor's or Master’s Degree in Computer Science, Maths, Machine Learning, Data Science, or related field
- Experience in developing web applications using TypeScript and modern frameworks (ideally React).
- Problem-solving skills and ability to debug and resolve issues.
- Communication and collaboration skills.
Desirable:
- Experience using C++ or Rust.
- Experience with performance profiling tools.
- Experience with relational databases.
- Understanding of memory management, multithreading, and hardware utilisation.
- Knowledge of continuous integration/continuous delivery pipelines and build tools
Benefits
In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Ready to apply?
Apply to Graphcore