As a Platform Engineer – Support, you will provide first-level response within Interactive Brokers (IBKR) on any information technology-related issues concerning the Microsoft Windows platform. You will assist business and development end-users via telephone, email, and a centralised ticketing system to resolve or escalate IT issues.

This position requires strong technical knowledge and polished communication skills. Key competencies include intermediate knowledge of Windows and networking technologies, combined with a strong motivation to develop your skills further. You must demonstrate patience with those who are less technically proficient and be able to function effectively in a fast-paced business environment with a high sense of urgency.

Additional requirements for this role include dependability and a willingness to go above and beyond the call of duty in assisting end-users and following technical issues through to resolution.

We currently operate a hybrid working model in one of the most iconic towers in the City of London, located on Fenchurch Street. You will also be pleased to know that we offer lunch from a selection of vendors every day you are in the office.

Essential Job Functions:

• Provide technical assistance and support for reported issues related to computer systems, software, and hardware promptly to meet departmental SLAs.
• Use all available means to assist users, including telephone, email, in-person support, and remote support tools.
• Resolve issues related to desktops, laptops, virtual machines, smartphones, scanners, printers, and other peripherals used by employees.
• Install operating systems, applications, hardware drivers, and customise system settings in accordance with departmental standards.
• Analyse problems using troubleshooting skills and diagnostic tools to identify the root cause and implement permanent solutions to prevent recurrence.
• Document issue resolutions in the departmental knowledge base for future reference and contribute to the creation of self-help articles for employee access.
• Provide timely updates on all activity for assigned incidents, including user contact attempts and resolution details, within the incident management system. Escalate incidents to other support teams where necessary.
• Participate in departmental or firmwide projects as instructed by the IT Department management.
• Contribute to departmental productivity and development objectives by participating in training programmes and team meetings.
• Interface with employees, supervisors, directors, and C-level executives, employing a high degree of tact and diplomacy to promote a positive image of the department. Resolve problem situations in a professional manner.
• Maintain excellent verbal communication skills, with the ability to communicate effectively with technical and non-technical colleagues at all levels of the organisation.
• Participate in the assigned schedule to ensure coverage.

Knowledge, Education and Skills Required:

• Associate’s Degree in Computer Science or a related field preferred.
• A+, Network+, Microsoft, and VMware certifications preferred.
• Proven technical support experience.
• Any equivalent combination of education, experience, and training that provides the required knowledge, skills, and abilities.
• Strong organisational, prioritisation, and multitasking abilities.
• Expected to be a team player who shares knowledge for collective growth.
• Able to communicate technical concepts to non-technical stakeholders.
• Must possess strong interpersonal and communication (written and oral) skills, along with a client service-oriented approach.
• Pays close attention to detail, displays flexibility, works independently, and demonstrates self-direction and initiative.
• Displays resourcefulness when solutions are not immediately evident and takes initiative to resolve problems independently.
• Ability to manage multiple high-priority initiatives in a fast-paced, highly technical environment.

Technical Experience Required:

• Strong knowledge of Microsoft Windows desktop operating systems.
• Strong diagnostic and troubleshooting skills, with an innate curiosity and interest in IT.
• Strong knowledge of the Microsoft Office suite.
• Working knowledge of Entra ID and Azure services.
• Working knowledge of administrative scripting (PowerShell, Python, etc.).
• Working knowledge of Intune packaging and PC deployments.
• Working knowledge of the TCP/IP protocol stack and Wi-Fi.
• Working knowledge of DNS and DHCP.
• Working knowledge of supporting PCs in an Active Directory environment.
• Working knowledge of the Office 365 cloud application suite.
• Working knowledge of desktop imaging, application deployment, and hard drive encryption.
• Working knowledge of Active Directory, domains, and group policies.

Location and Hours:

20 Fenchurch Street, London, EC3M 8AF
Coverage between 7:30 am - 6 pm (hours to be agreed), Monday – Friday (currently a Hybrid model)

Benefits:

• Career support and development
• Salary commensurate with experience
• Performance-based discretionary cash bonus scheme
• Discretionary stock grant
• Group Life Assurance cover
• Group Income Protection
• Occupational pension scheme based on gross earnings
• Hybrid working model*
• Annual leave above the statutory minimum, increasing with service
• Daily company-paid lunch and healthy snack options (when working from the office)
• Access to Private Medical Insurance, Dental Plan, and/or Health Cash Plan (including dependants)*
• Corporate events
• Travel season ticket loans*
• Cycle to work scheme*

*Subject to successful completion of the probation period

Interactive Brokers is an Equal Opportunity Employer committed to providing a diverse, equitable, and inclusive workplace for its employees.

If you have what it takes to join our London office team, please apply today!

Interactive Brokers (UK) is committed to promoting, monitoring, and implementing best practices, policies, procedures, and culture in adherence to the FCA Consumer Duty.

Available Locations: Amsterdam, Netherlands, Lisbon, Portugal, London, United Kingdom, Munich, Germany, Paris, France

What You’ll Do

The Pre-Sales Solutions Engineering organisation is responsible for the technical sale of the Cloudflare solution portfolio, ensuring maximal business value, fit-for-purpose solution design and efficient adoption roadmaps for our customers. Solution Engineering is made up of individuals from a wide range of backgrounds - from Financial Consulting to Product Management, Customer Support to Software Engineering, and we are serious about building a diverse, curious and collaborative team.

As a Solutions Engineer, you are the technical customer advocate within Cloudflare. You will aid your customers and will work closely with every team at Cloudflare, from Sales and Product to Engineering and Customer Support to do so. Your goal of customer success should drive you through the entire organisation as you seek out and create scalable solutions for your customer’s needs.

The range of products and solutions offered by Cloudflare are broad so that we are able to meet our lofty goal of helping to build a better Internet. A broad knowledge of Internet performance and security technology is required, the curiosity to maintain and develop new knowledge is essential to keeping up with the high rate of product innovation at Cloudflare. All the resources and training required to be effective for the role, will be provided.

Examples Of Desirable Skills, Knowledge And Experience

Our Solutions Engineers come from a wide range of backgrounds: IT, engineering, software development, product management, financial consulting, customer support & project delivery. We're serious about building a diverse team. When hiring we look for diversity of experience combined with genuine curiosity for our technology.

Ultimately, you are passionate about technology and have the ability to explain complex technical concepts in easy-to-understand terms. You are naturally curious, and an avid builder who is not afraid to get your hands dirty. You appreciate the diversity of challenges in working with customers, and look forward to helping them realise the full promise of Cloudflare. On the Solutions Engineering team, you will find a collaborative environment where everyone brings different strengths and jumps in to help each other.

You will have a good fundamental understanding on how to obtain the technical win so that customers choose our proposed solutions over that of competitors.

Additional experience might include a combination of the skills below: 

• 3-to-10 years of experience in the IT industry (early or mid-level experience).
• Fluent Czech and English (written & spoken).
• Ability to manage a project, work to deadlines, and prioritise between competing demands.
• Demonstrating empathy with customers and quickly identifying challenges and pain points they face. 
• Understanding of “how the internet works”. For example:
• Know the differences between TCP & UDP, and understand what kinds of applications may favour one over the other;
• Can explain the difference between authoritative DNS & recursive DNS?;
• You understand the role of a firewall, why TLS (SSL) plays an increasingly important role on today's Internet, a solid understanding of HTTP and a willingness to dive deeper into the quirks of clients & servers alike;
• Understanding of how customers make buying decisions, how to explain ROI.
• A knowledge of the competitive landscape for one or more of: DDoS, CDN, Performance, DNS, Developer platform or Zero-Trust/SASE service providers.
• You're OK with some (10-15 days per quarter) travel without travel restrictions: we expect to travel to customer offices, conferences and/or do talks. 

Bonus! 

• Previous experience in a pre-sales SE or consulting role. (note: doesn't have to be in tech);
• Demonstrated experience with a scripting language (e.g. Python, JavaScript, Bash) and a desire to expand those skills;
• Exposure to emerging technical landscape trends in Security such as Zero Trust. 

Available Locations: Netherlands, United kingdom, Germany, Portugal, France, Sweden

About Solutions Engineering at Cloudflare

The Pre-Sales Solution Engineering organization owns the technical sale of the Cloudflare solution portfolio, ensuring maximal business value, fit-for-purpose solution design and adoption roadmap for our customers. Solutions Engineering is made up of individuals from a wide range of backgrounds - from Financial Consulting to Product Management, Customer Support to Software Engineering, and we are serious about building a diverse, experienced and curious team. 

What you'll do as a Solutions Architect

The Solutions Architect is a senior technical leadership role. You are a customer facing hands-on technologist with credibility built on domain expertise across Cloudflare portfolio.  You should have solid experience in influencing enterprise architecture design across various senior buyer personas both at customers and partner organizations. Your role will be to convince these decision makers of the long term value of thinking of Cloudflare as a strategic technology partner. 

You will work closely with every team at Cloudflare, from Sales and Product, through to Engineering and Customer Support. Your goal of customer success should drive you through the entire organization as you seek out and create scalable solutions for your customer’s needs.

You will work as a part of a highly visible structured pursuit team attached to designated strategic accounts, working to understand their unique business challenges and priorities with a goal of defining short and long term solution architecture with Cloudflare as a centerpiece. An equally important component of this role is the expectation that you scale your expertise and knowledge across the wider Pre Sales Solution Engineering organization.

Specifically, we are looking for you to:

• Build and maintain the long term technical relationship of key accounts, ensuring the successful design, proof and adoption of Cloudflare as a part of the customers critical infrastructure.
• Identify and drive strategic conversations with key stakeholders with the purpose of increasing our reputation and authority within the business, and further establishing our footprint within the customers landscape.
• Be the voice of the customer, engaging and influencing Product Management and Product Roadmap to serve their needs. 
• Demonstrate your expertise of Cloudflare within your field through the creation of professional content, including white papers, reference architectures, blog posts.
• Represent and Evangelize Cloudflare externally at Developer, Community, Technology, Cybersecurity and Industry focused events with thought leadership and expertise.
• Apply in-depth vertical knowledge or domain expertise. Advise on best practices.

Desirable skills, knowledge and experience

• 7+ years of experience in similar role or experience in a technical leadership role
• Previous experience as a solution architect, consultant or technical marketing engineer building, architecting or deploying security solutions
• Good understanding of AI, security challenges and its applicability to today’s enterprise landscape
• Proven track record using it to help drive revenue.
• Strong knowledge of Security Architecture, Design and Operations
• Working knowledge of the broader threat landscape and the ability to distill technology trends, and explain complex behaviors in simple terms
• Proven experience working with customers and partners in successful design and deployment of solutions
• Ability to juggle and successfully drive projects with customers, prospects, and partners.
• Experience with cloud computing solutions implementations including Microsoft 365, Azure, Google, AWS.
• Experience with Application, Security, Performance and Reliability products such as WAF, Bot Management, DDOS, Firewall, DNS and CDN.
• Knowledge of competitive market  around CDN providers, Web application Firewall, Remote access solutions, Next generation Firewalls, DDOS mitigations solutions, SD-WAN solutions , Secure Gateway solutions, SSE/SASE
• Proven hands-on experience with information security solutions such as Web Proxy, NGFW, Security Gateways, SIEMs, SAML/SSO, DLP, Data security and protection technologies such as HSM, Tokenization & encryption gateways.  
• Experience working with Identity Providers such as Entra AD, Okta, Ping, OneLogin, etc.
• Knowledge of web application programming XML, REST/SOAP API’s, REST, JSON,
• Experience in cloud computing based services architecture, technical design and implementations including Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS) delivery models.
• Knowledge of scripting languages such as Python and IAC products like Terraform
• Knowledge of security and cryptography.
• Knowledge of cloud/virtualization technologies and containerization

Available Locations: London, Amsterdam, Lisbon, Munich, Paris

What you’ll do:

The Pre-Sales Solutions Engineering organization is responsible for the technical sale of the Cloudflare solutions portfolio, ensuring maximal business value, fit-for-purpose solution design, and efficient adoption roadmaps for our customers.

As a Solutions Engineer, you are the technical customer advocate within Cloudflare. You will aid your customers and work closely with every team at Cloudflare, from Sales and Product to Engineering and Customer Support. Your goal of customer success should drive you through the entire organization as you seek out and create scalable solutions for your customer’s needs.

Technology moves at lightning speed; a broad knowledge of Internet performance and security technologies is required, and the curiosity to maintain and develop new knowledge is essential to keeping up with the high rate of product innovation at Cloudflare.

Examples Of Desirable Skills, Knowledge And Experience:

Ultimately, you are passionate about technology and have the ability to explain complex technical concepts—like how an edge network reduces "lag" or how WAF rules protect a player's wallet—in easy-to-understand terms. You are naturally curious, and an avid builder who is not afraid to get your hands dirty.

You appreciate the diversity of challenges in working with customers, from managing "micro-burst" traffic spikes to navigating regulatory requirements. You will find a collaborative environment where everyone brings different strengths and jumps in to help each other obtain the technical win so that customers choose Cloudflare to protect and accelerate their platforms.

Additional experience might include:

• Language: fluent in Polish and English
• 5-to-10 years of experience in the IT industry.
• Vertical Expertise: Understanding the cloud architectures, with main focus on security layers, such as CDN, WAF, SASE and Anti-DDoS..
• Technical "How the Internet Works": * Deep understanding of TCP vs. UDP, why it matters and why it's so critical from security point of view;
• Solid understanding of DDoS mitigation strategies at Layers 3, 4, and 7 to prevent services disruption.

Pre-Sales Excellence: Previous experience in a technical consulting or SE role, with a track record of demonstrating ROI to CTOs and Infrastructure Leads.

• 
  Project Management: Ability to manage complex Proofs of Concept (PoCs) and prioritize between competing demands in a fast-paced environment.
• Communication: Excellent presentation skills with a strong command of business English. 
• Market Knowledge: Familiarity with the competitive landscape for CDN, Zero-Trust, and SASE providers.
• Travel: Ability to travel to customer sites, industry events and internal summits.

Bonus!

• Scripting Skills: Demonstrated experience with JavaScript, Python, or Rust, and a desire to help customers build the next generation of serverless features on Cloudflare Workers.

• Security Trends: Exposure to emerging trends such as Zero Trust for securing internal employees traffic or remote-work environments.

About The Role

We are seeking a Project Architect in the Global Services division with expert experience in Cloud Security, IoT Systems, Networking, Linux systems, Security Surveillance, and Access Control. You will partner with the Global Services Manager and Territory Account Executives to service large and strategic customers within the Verkada footprint. In this role, you will interface with customers and partners on post-sales deployment project management, assisting with technical issues and providing expert-level configuration and training on Verkada Products. We need someone who will be highly motivated, able to learn quickly, and work independently while making an impact on the success of our Global deployments. 

We are committed to a thriving in-office culture. This role requires that you be on-site 5 days per week in our London office.

What You'll Do

• Be the subject matter authority on the full Verkada suite of products and offerings and provide expert-level service to customers during the post-sales process
• Serve as the project management arm for customer accounts, ensuring successful deployments of Verkada products in the customer’s environment
• Magnify the value of Verkada products for customers through configuring and fine-tuning product features, use cases, and analytics; provide vendor-led training to customers
• Effectively serve as the technical voice to all levels of customer, from C-level executives to loss prevention managers and directors of IT
• Work directly with your Global Services Manager and Sales Account Executives to develop services strategies and workflows for the customer, as well as participate in cross-selling and up-selling opportunities
• Be a Product Technical Evangelist in training/educating partners, customers, and internal employees on the latest Verkada product offerings

What You Bring

• 7+ years of experience as a Sales Engineer, Technical Account Manager, or Professional Services Consultant with a proven track record of working with Fortune 500 companies
• Bachelor's degree in Computer Science, Computer Engineering, Information Technology, Information and Computer Technology, Networking, IT Security, or similar field 
• Strong background in Computer Networking: HTTPS/SSL, VLANs, TCP/IP, DNS, NAT devices, DHCP servers, firewalls, and software systems
• Outstanding written & verbal communication skills to efficiently articulate technical matters with customers and partners
• Entrepreneurial and positive attitude with a strong desire to learn
• Ability to adapt to an ever evolving workplace and company
• Genuine excitement for software/hardware products, Cloud Security, and IoT devices
• Travel up to 25%

Preferred Qualifications

• Experience as a Sales Engineering Manager or Professional Services Manager
• People management experience
• Industry certifications such as AWS, CCNA, CCDA, CCNP, MCSE, CEH, Security+, A+, Network+
• Experience working with Linux systems 
• Previous startup experience

UK Employee Benefits

Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:

• Healthcare programs that can be tailored to meet the personal health and financial well-being needs. Premiums are 100% covered for the employee under most plans and 100% for family premiums
• Private medical and dental coverage
• Paid parental leave policy & fertility benefits
• Retirement saving options
• Time off to relax and recharge through our paid holidays, firmwide extended holidays, generous time off, and personal sick time
• Wellness/fitness benefits
• Professional development stipend
• Healthy lunches provided daily
• Commuter benefits

About Us:
Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.

Role Overview:
We are looking for an exceptional Senior FPGA Engineer to join our semi-systematic equities team. In this role, you will architect and deliver ultra-low-latency FPGA trading systems that drive our competitive edge across global equity and futures exchanges. This position offers the opportunity to lead, innovate, and push the limits of hardware performance in a fast-paced trading environment.

Key Responsibilities:

Technical Leadership

• Lead and mentor a team of FPGA engineers developing next-generation hardware solutions for market making.
• Architect and implement ultra-low-latency trading systems optimized for global equity and futures markets.
• Define and execute the technical vision and roadmap for FPGA-based trading infrastructure.
• Partner closely with quantitative researchers, software developers, and network engineers to deliver integrated, high-performance trading platforms.

System Development

• Design and implement high-throughput FPGA firmware for market data feed handling and order execution.
• Build modular, reusable, and scalable FPGA architectures supporting exchanges such as NYSE, NASDAQ and CBOE.
• Develop robust testing frameworks and automated deployment pipelines to ensure stability and reliability in production.

Required Qualifications:

• 5+ years of hands-on FPGA design and development experience, ideally within high-frequency or market-making systems.
• Expert-level proficiency in SystemVerilog targeting Xilinx platforms.
• Deep understanding of networking and low-level protocols (10G Ethernet, multicast, MAC/PCS layers).
• Proven track record in ultra-low-latency hardware design and performance optimization.

DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

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

The Role

PhysicsX is developing a platform used by Data Scientists and Simulation Engineers to build, train, and deploy Deep Physics Models. The core of this platform relies on handling massive volumes of complex simulation data, enabling high-fidelity multi-physics simulation through AI inference.

We are looking for a Senior Frontend Software Engineer to join our product team. You will be one of a small team of Front-end Engineers, collaborating in a cross-functional team with autonomy to drive implementation decisions. You will build and evolve the frontend that brings our platform to life — from rich 3D visualisations of simulation data to seamless API integrations powering complex ML workflows. You will design composable frontend architectures, optimise performance for data-heavy interfaces, and ensure our engineers and scientists can interact intuitively with massive datasets and simulation results.

As a senior engineer, you will also play a key role in shaping technical direction — authoring Technical Decision Records, mentoring less experienced engineers, and driving the standards that keep our platform reliable, secure, and performant. This is a role for a builder who loves crafting exceptional user experiences as much as they love designing robust frontend architectures.

What You Will Do

• Build and evolve a frontend platform that supports complex simulation and ML workflows — from 3D visualisations to seamless API integrations and data-heavy interfaces.
• Design and implement composable frontend architectures and component systems, including micro-frontend patterns, to enable scalable and maintainable development.
• Optimise user experience through advanced caching strategies, performance monitoring, layout and paint optimisation, and accessibility best practices.
• Design and implement advanced state management and data flow patterns to handle the demands of real-time simulation data and complex user interactions.
• Own your work end-to-end — from architectural design through to deployment and maintenance in a fast-paced, agile environment.
• Define performance standards and SLAs for the services you own; diagnose and resolve complex performance bottlenecks in rendering, layout, and data handling.
• Collaborate with backend engineers on the implementation of security risk mitigation strategies and performance optimisations for frontend applications.
• Drive best practices in CI/CD, automated testing, observability, and infrastructure-as-code; build and maintain deployment pipelines including zero-downtime and multi-service deployments.
• Author and review Technical Decision Records; participate in Technology Radar reviews to evaluate and adopt new tools and approaches.
• Mentor junior engineers, facilitate technical discussions, build consensus around decisions, and translate research needs into well-defined technical requirements.

What You Bring to the Table

• A passion for the craft — a drive for engineering excellence and a commitment to sponsoring that culture across the team.
• Strong software engineering foundations — algorithms, data structures, and system design, with a passion for writing clean, maintainable, and testable code. You are a frontend engineer, not a framework developer — you understand the web platform deeply (HTML, CSS, JavaScript, browser APIs) and can build excellent interfaces regardless of the tech stack.
• Architectural versatility — proven track record building web-based user interfaces using a variety of architectural approaches — SPAs, server-rendered applications, hybrid architectures, micro-frontends — with a critical perspective on when each is the right choice. Experience with React and TypeScript is expected, but your identity is not defined by them.
• Web platform depth — strong understanding of how browsers work: rendering pipelines, layout and paint, networking, caching, the JavaScript event loop, and Web APIs. You optimise from first principles, not from framework-specific recipes.
• API and data handling maturity — experience designing frontends that integrate with complex backends via REST, GraphQL, WebSockets, and SSE, with attention to caching strategies, data access patterns, and forward compatibility.
• Reliability and observability mindset — experience defining performance standards and SLAs, implementing monitoring/alerting, and optimising observability in production environments.
• Security and accessibility awareness — familiarity with OAuth/JWT, XSS/CSRF prevention, WCAG, and ARIA standards; experience collaborating with backend teams on security risk mitigation.
• CI/CD and deployment expertise — hands-on experience building and optimising CI/CD pipelines (e.g. NX, GitHub Actions, monorepos), including multi-service and zero-downtime deployment strategies.
• Data visualisation experience — building rich, interactive visualisations using libraries such as Plotly, ECharts, Three.js, VTK, or WebGL to expose complex simulation data to end-users.
• Diagnostic and optimisation skills — a proactive mindset with the ability to identify and resolve complex performance bottlenecks from first principles — in rendering, networking, and data processing — rather than relying on framework-level fixes.
• Communication and leadership — excellent communication skills to discuss data needs with research scientists and translate them into technical specifications. Experience mentoring engineers and facilitating technical decisions.

Ideally

• Polyglot Frontend Thinking: comfort working beyond the JavaScript ecosystem — whether that means WebAssembly, compiled-to-JS languages, or non-SPA architectures. Willingness to reach for the right tool rather than the familiar one.
• 3D and GPU Technologies: deep experience with WebGL, WebGPU, or WebAssembly for high-performance rendering of simulation data, meshes, and point clouds.
• Design Sensibility: understanding of the limitations and trade-offs of design, layout, and typography constraints in the browser, with the ability to work with designers to reach a middle ground.
• Advanced Testing Techniques: experience with fuzzing, deterministic simulation testing, or fault injection in production systems; strong foundation in E2E and integration testing across different architectural patterns.
• Domain Knowledge: understanding of 3D geometry processing (meshes, point clouds) and the specific data structures used in physics-based simulations.

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

POS-7094

Job Overview: We are seeking a Security Engineer with expertise in implementing and troubleshooting security tools to enhance and support our security infrastructure. This role focuses on evaluating, deploying, and maintaining a suite of security technologies that protect our organization’s assets. The ideal candidate will have extensive experience in security engineering, hands-on tool deployment, and troubleshooting complex issues within various security solutions.

Key Responsibilities:

• Security Tool Implementation: Lead the planning, deployment, and configuration of security tools, ensuring they meet organizational needs and integrate seamlessly with existing systems. Experience with SASE tools such as (Netskope/Zscaler), EDR tools such as (Crowdstrike/SentinelOne), Endpoint Privilege Management, Application Allowlisting, Email Security, SIEM Management and Detection Engineering 
• Troubleshooting and Support: Diagnose and resolve issues with security tools in real-time to maintain their effectiveness, reduce downtime, and ensure optimal performance.
• Tool Evaluation and Testing: Research, test, and recommend new security technologies based on the latest threat landscape and organizational needs. Lead proof-of-concept (POC) projects to assess potential new tools.
• System Integration: Work closely with IT and other teams to ensure security tools are effectively integrated with various systems, including cloud and on-premises environments.
• Automation and Optimization: Develop scripts and automation processes to improve the efficiency and reliability of security tools, minimizing repetitive tasks and reducing time-to-response.
• Documentation and Knowledge Sharing: Create and maintain detailed documentation of security tool configurations, troubleshooting procedures, and best practices to ensure consistent processes and knowledge transfer.
• Collaboration: Collaborate with other security teams, such as incident response and vulnerability management, to identify tool requirements, share insights, and improve overall security capabilities.
• Training and Mentorship: Act as a subject matter expert on security tools, providing training and guidance to junior team members and stakeholders.

Qualifications:

• Experience: 3+ years of experience in cybersecurity, with a focus on security engineering, tool deployment, and troubleshooting.
• Education: Bachelor’s degree in Computer Science, Information Security, or related field (or equivalent experience).
• Certifications: Relevant certifications, such as CISSP, GIAC, CEH, or vendor-specific certifications for security tools (e.g., CrowdStrike, Netskope, Tenable, or similar).
• Technical Skills:
• Strong hands-on experience with a variety of security tools, such as endpoint protection, SIEM, vulnerability management, EDR, DLP, and network security tools.
• Deep troubleshooting skills across both hardware and software security solutions.
• Familiarity with scripting languages (Python, PowerShell, Bash) for automation of tasks related to tool deployment and management.
• Understanding of network protocols, cloud environments, and security frameworks (MITRE ATT&CK, NIST, CIS).
• Experience with configuring and managing tools in cloud environments (AWS, Azure, or GCP).
• Soft Skills:
• Strong analytical and problem-solving abilities with attention to detail.
• Excellent communication skills to collaborate across teams and convey technical information effectively.
• Ability to work independently and manage multiple projects in a fast-paced environment.

The Role

The Principal Software Engineer role at PhysicsX is an individual contributor role with leadership and collaboration expectations. The Principal is expected to be an effective technical thought-partner to non-technical stakeholders, and is expected to contribute strongly to an environment of growth and development in the craft of software engineering across the organisation.

Engineering Applications make PhysicsX's AI platform usable by engineers in their daily work. The product group creates workflows and interfaces that span the engineering lifecycle, from design through manufacturing to operations, enabling engineers to harness AI capabilities. The suite ranges from ready-to-use applications that ship with the platform for engineers to use directly to a composable set of extensible components for teams who need to go further. Engineering Applications ensure that impactful AI capabilities are accessible to customers at scale.

What you will do

• Engage with product managers, designers, and users of Reference Applications to fully understand the what and why of the product’s functional requirements.
• Partner with the product leadership of Reference Applications to define the art of the possible with ambitious pragmatism, defining the how and when of product development.
• Take responsibility and accountability for the implementation of components and services by a team of software engineers, and actively participate in development by contributing to source-code, documentation, and CI/CD workflows.
• Design and maintain services that are fully interoperable with PhysicsX’s other platform services, while remaining independently versioned, tested, and deployed.
• Define, evolve, and advocate for a scalable, modular front-end architecture that enables reuse, rapid development, and long-term maintainability.
• Implement standardised instrumentation for metrics, logs, and traces and take responsibility for the teams’ prompt remediation of issues in production.
• Establish performance benchmarking to measure compliance with non-functional requirements, right-size infrastructure requests, and provide appropriate SLAs.
• Participate in establishing company-wide software engineering standards through engagement with the software engineering guild.
• Participate in the growth and development of software engineers.
• Participate in the recruitment and onboarding of software engineers.

What you bring to the table

• A passion for the evolving craft of software engineering and for sponsoring a culture of excellence in the craft.
• A proven ability to act as an effective technical thought-partner to non-technical stakeholders.
• A proven ability to lead teams of software engineers in a fast-paced and iterative environment, through active participation in problem solving, coaching, and architectural decision-making.
• A solid track-record of designing, building, and maintaining application services in distributed architectures.
• Background working with Kubernetes - CKA certification, is a nice to have.
• Experience with workflow orchestration, event-driven systems, and messaging (NATS, ArgoWorkflows)
• Proven track record building web-based user interfaces using a variety of architectural approaches - SPAs, server-rendered applications, hybrid architectures, micro-frontends - with a critical perspective on when each is the right choice.
• Deep understanding of frontend rendering strategies and their tradeoffs: CSR, SSR, streaming SSR
• Micro-frontend architecture: module federation, runtime composition, independent deployment, and shared dependency management across teams.
• Monorepo platform experience: Turborepo/Nx/Workspaces, with ownership of shared tooling, build pipelines, and DX abstractions across multiple frontend packages.
• Advanced TypeScript: conditional types, mapped types, and template literal types, with the ability to design type-safe API layers (tRPC, Zod, OpenAPI codegen)
• Build toolchain depth: Vite internals, custom plugin authoring, bundle analysis, and measurable build performance optimisation.
• Large-dataset rendering: virtualisation strategies (TanStack Virtual), WebGL/Canvas/WebGPU for high-performance visualisation.
• Server state architecture: TanStack Query or equivalent, cache invalidation strategy, optimistic updates, background refetching, and avoiding over-fetching at scale.
• Proficiency in Python and Go, with experience in other languages a plus (Rust, C++).
• A strong understanding of the machine learning development lifecycle.

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

About the role

Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.

Node Infra owns the full lifecycle of accelerator capacity at Anthropic. We ingest and provision compute from all major CSPs and our own datacenters, stand up and scale clusters from thousands to hundreds of thousands of hosts, and build the health, diagnostics and repair automation that keep every GPU, TPU and Trainium node in the fleet usable and ready to power Anthropic’s frontier AI research.

Key responsibilities

• Own the technical strategy and roadmap for node lifecycle management - ingestion, bring-up, health checking, and automated repair
• Drive cross-team initiatives to build and scale AI clusters across multiple clouds and accelerator families
• Design and operate the systems that detect, isolate, and remediate unhealthy hardware automatically, driving up fleet MTBI and minimizing stranded capacity
• Define infrastructure architecture, ensuring the hardest problems get solved - whether by you directly or by working through others
• Work closely with cloud providers and internal research/inference/product teams to shape long-term compute, data, and infrastructure strategy
• Establish and evolve operational excellence practices (incident response, postmortem culture, on-call)
• Support the growth of engineers around you through technical mentorship and coaching

Minimum qualifications

• Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure)
• Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform.
• Hands-on experience with machine learning accelerators (GPUs, TPUs, or Trainium)
• Track record of leading complex, multi-quarter technical initiatives that span multiple teams or systems
• Ability to build alignment across senior stakeholders and communicate effectively at all levels

Preferred qualifications

• 8+ years of software engineering experience, including time as a technical lead setting direction for a team
• Experience managing large scale compute infrastructure at hyperscale (10K+ nodes), including capacity management and efficiency
• Depth in one or more of: Kubernetes internals (scheduler, autoscaler, kubelet, Karpenter), cluster orchestration systems (Mesos, Borg-like), or node provisioning pipelines
• Low-level systems experience: kernel, virtualization, device drivers, firmware, or hardware health/diagnostics daemons
• Familiarity with high-performance networking (EFA, RDMA, InfiniBand) for distributed ML workloads.
• Demonstrated ownership of production reliability for high-throughput, latency-sensitive systems
• Contributions to relevant open-source projects (Kubernetes, Linux kernel, container runtimes, etc.)
• Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems

Location: UK, Portugal, Remote

Department: Engineering

Employment Type: Permanent

About YLD:

Our goal is to help our clients keep moving forward. We work with them to build the skills and capabilities they need to stay ahead of the competition, and we know our success only happens when they succeed. We’re a team of curious, talented people, and we’re committed to making YLD a place where great people want to work, grow, and stay.

We’re a remote-first consultancy specialising in software engineering, product design, and data. Our teams are based across London, Lisbon, and Porto, and we create digital solutions that continue to deliver value long after our work is done.

About the role:

As a Senior Software Engineer at YLD, you’ll be part of a client team building innovative products. We’re looking for someone curious, passionate, driven, and enthusiastic. You should be skilled in problem-solving and experienced in designing scalable, resilient, and fault-tolerant architectures. You’re also an effective communicator and a strong team player. Together with your team, you’ll thrive in a fast-paced engineering environment, delivering outstanding results and exciting projects.

Preferred Skills:

• Strong backend engineering experience, with Go as a primary or preferred language;
• Comfortable working in cloud environments such as AWS, Azure, or Google Cloud;
• Experience building and maintaining APIs and backend services, including SaaS platforms;
• Familiarity with modern infrastructure and distributed systems;
• Solid understanding of modern deployment practices, including Docker, containers, and Kubernetes;
• Strong background in testing strategies, including TDD, across the full system lifecycle, with a focus on performance optimization;
• Use AI tools to augment your work, applying sound judgement to adopt emerging technologies where they genuinely add value and increase your impact as an engineer.

You should apply if you are:

• Self-motivated, proactive and always looking for ways to improve and develop yourself;
• A good communicator, both in writing and verbally. You’ll be able to explain technical ideas and concepts in business-friendly language;
• Detail-oriented;
• Possess strong problem-solving skills that balance innovation with pragmatic technology choices to solve business needs;
• Used to working in a team-oriented, collaborative environment;
• Analytical and problem-solving-oriented;
• A genuine believer in diversity and fairness.

Benefits you’ll receive:

• Company Private Health care
• Enhanced fully paid maternity and paternity leave for up to 6 months
• Enhanced pension scheme (only for UK)
• 25 days annual holiday (excluding Public Holidays)
• £/€2000 annual learning and development budget for training courses and conferences
• £/€300 annual allowance for additional hardware
• Wellbeing & Performance Support via Oli including Therapy and Coaching
• Discretionary Bonus (depending on Company performance and results)
• Generous referral schemes

Our typical recruitment process:

• 1st Interview with a Talent Partner (30/45 mins)
• Technical Interview with our Senior Developers (1h30)

Get a glimpse of what it's like working at YLD! 🤳

Check out our LinkedIn page

We live and breathe our values, and know you will too:

• Growing every day
• Including everyone
• Relationships built on honesty and ethics
• Inspiring solutions
• Winning together

We’re an equal-opportunity employer and value diversity in all its forms. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability. We also offer a remote-first working environment, with flexible working and work–life balance as standard for all employees.

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

As a research engineer at Graphcore, you will contribute to the advancement of AI research, investigating new ideas that push the limits on important AI/ML problems. Specialised hardware has been the key driver of the progress of AI over the last decade, and we believe that hardware-aware AI algorithms and AI-aware hardware developments will continue to be critical to advancing this exciting field. We are therefore looking for individuals who combine strong machine learning experience with practical engineering skills to deliver impactful AI research. We are seeking AI researchers with strong software engineering experience, particularly in lower-level programming and performance optimisation for hardware efficiency. Our research spans a broad range of topics, including efficient training and inference, world models, life sciences, reinforcement learning, and beyond. You will work closely with researchers to generate ideas and translate them into scalable implementations, contributing to publications and projects that help to steer the future of AI hardware.

The Team

Graphcore Research participates in both fundamental and applied research, to characterise the computational requirements of machine intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML conferences (NeurIPS, ICML, ICLR) as well as specialist workshops, and collaborate with other research teams and organisations across the world.

We pride ourselves on being a supportive and collaborative team, where we organise around our individual research interests to solve problems together in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications, including for sequence- and graph-based data. We’re based across London, Cambridge and Bristol, with projects and discussions that involve all our locations.

Perhaps the best way to get an idea of what we’re all about is to read one of our papers or an article on our blog. If you’re excited to work at the cutting edge of AI supported by new hardware and want to develop your skills in this area, we’d love to hear from you!

Responsibilities and Duties

• Generate AI/ML ideas, design experiments, implement them & evaluate results.
• Prepare, submit & present your work to AI conferences and workshops.
• Provide technical insight to internal teams by designing experiments and delivering clear, actionable reports.
• Collaborate with researchers, silicon and software engineers at Graphcore to help define, build and test Graphcore’s next generation of AI hardware.

About you:

Essential:

•  Master’s, PhD or equivalent experience in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry).
• Python programming in a modern deep learning framework, e.g. PyTorch or JAX.
• Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling.
• Capable of designing, executing and reporting from ML experiments.
• Lower-level programming for hardware efficiency, e.g. C++/CUDA/Triton.
• Practical familiarity with hardware capabilities for deep learning – threads, caches, vector & matrix engines, data dependencies, bus widths and throttling.
• Practical familiarity with software stacks for deep learning – compilation, kernel fusion, XLA/ATen ops, streams, and asynchronous execution

Desirable:

• Mathematics skills to support the above: calculus, probability theory and linear algebra.
• Experience submitting papers to international scientific conferences or workshops.

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.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

📍 Old Street | 🏢 4 days a week in the office  

The Role 

We're looking for a skilled IT Support Team Lead to be the go-to person for our company's IT support function — someone who combines genuine technical depth with the kind of approachable, can-do attitude that makes people actually want to come to IT for help.

Reporting to the Head of IT Security & Operations, you'll work with the IT support team and wider IT engineers, ensuring our users across multiple sites receive first-class assistance with hardware, software, local networking and everything in between. This means getting hands-on with user account and hardware setups, installations, software upgrades, systems integrations, bespoke business application support and network troubleshooting - while also coaching and developing the team around you.

Previous experience in a formal team lead role isn't essential, but you should be able to demonstrate senior-level capability and a genuine appetite for stepping into a position that leads and mentors others. We're looking for someone who leads by example: technically sharp, calm under pressure, and naturally inclined to mentor and support others.

We're looking for someone who can demonstrate:

• Strong technical knowledge across home and office environments, including hardware, networking, and operating systems
• Experience supporting bespoke business applications and managing systems integrations
• Excellent problem-solving skills and the ability to troubleshoot methodically under time pressure
• Outstanding interpersonal skills — you're the kind of person who becomes a known and trusted face around the office
• The ability to engage, motivate, and develop a small team, fostering a positive and proactive support culture
• A people-first mindset: you understand that great IT support is as much about communication and empathy as it is about technical know-how

Responsibilities

Oversee the day-to-day operations of the IT support team.Act as a senior support engineer and extension of the support team.Provide direct supervision to the team including evaluations, 1-2-1’s, mentoring, and all other line management responsibilities.Be the point of contact for technical support escalations.Record and track SLA’s and support team workflows, taking responsibility for meeting SLA targets for yourself and the wider team.Work with the Head Of IT Security & Operations to identify improvements to support technical process and team efficiency.Provide expert assistance to our customer operations teams in relation to the company’s bespoke internal and customer facing applications.

• Respond to user support requests in person, via the service desk platform (Jira), via instant message (Slack) and via video call.
• Troubleshooting hardware and software issues.Installing and maintaining hardware and computer peripherals.
• Installing and upgrading operating systems and computer software.
• Troubleshooting networking and connection issues.
• Advising on software or hardware upgrades.
• Providing training in computer operation and management to our end users.
• Take ownership of upskilling and training the other members of the IT Support function.
• Set up office equipment and assist with office and team relocations.Set up new equipment and accounts for new joiners to the business.
• Assist with the management and maintenance of user accounts across multiple platforms.
• Take ownership of managing and maintaining the asset register.
• Provide feedback on processes and help improve these using previous experience.
• Generate documentation on processes and procedures relating to business IT support.
• Be part of an on-call rota.

The role will lead a team across multiple offices.  Whilst the primary location will be on-site in the London office, some travel to our other sites, especially Cardiff, Manchester and Brighton, will be required.

About you

• Proven work experience as an application, desktop or IT support engineer or support technician in a senior or lead capacity.
• Excellent communicator both oral and written.
• A ‘people person’, able to lead by example and gain support and trust of your team and senior stakeholders.
• Ability to act as a technical escalation point for an IT support function.
• Able to lead by example as an extension of the support team as well as giving direction, feedback and mentoring to the team.
• Ability to communicate processes and procedures clearly and accurately, verbally and in writing.
• Experience of delivering a high level of customer service.

Knowledge of popular operating systems, software applications, and remote connection systems:

• Microsoft Windows 10/11 (essential)Azure Active Directory (essential)Google Workspace (essential)
• Slack
• Jira / Confluence (essential)
• Office 365
• Intune (essential)Autopilot
• Mac OS
• Bespoke Application support
• Data administration
• Demonstrable knowledge of structured query language (SQL)

Beneficial:

• Experience with OS patching upgrade management.
• Appreciation of working within IT Security frameworks such as ISO27001, NIST
• Advanced knowledge of computer hardware systems (Dell laptop and desktops preferred).
• Ability to solve complex hardware and software issues.
• Ability to travel and work after hours when necessary.
• Be part of an on-call rota covering out of hours support.
• Excellent interpersonal skills.
• Good written and verbal communication skills.
• Microsoft or IT-related certifications (ITIL, CompTIA, etc) preferred.

Our Values & Culture 🌞

• Just Pilot: We never settle for “good enough”. We pilot new ideas fast, ask questions to figure it out, and scale quickly.
• Why Not Today? Fast is as slow as we go - speed and simplicity gives us a competitive advantage.
• Be a Buddy: We tap in from day one to help the team, we do the right thing even if it’s hard.
• Owners and Dates: We don’t chase people. If you own a task and agree to a date, the expectation is that it gets done.
• Feedback: We want our employees to flourish, so we regularly provide direct and constructive feedback.

Diversity & Inclusion 🌈
We welcome, consider and encourage applications from anyone who shares our commitment to inclusivity. Join us in creating a space where authenticity thrives, and everyone can do their best work.

Great Work Deserves Great Perks
We try not to take ourselves too seriously (all the time) so we make sure our office is decked out with a pool table, arcade machine, beer tap, and a couple of office dogs thrown in for good measure. Check out our benefits:
🏥 Private Healthcare including dental and opticians services through Vitality
✈️ Worldwide travel insurance through Vitality
🎁 Anniversary Rewards (£250, £500, £750, 4-week fully paid sabbatical)
👛 Salary Sacrifice Pension Scheme up to 7% match
🚘 Octopus EV Salary Sacrifice Scheme
🏖️ 28 days holiday (plus bank holidays)
📖 Annual Learning and Wellbeing Budget
👪 Enhanced Parental Leave
🚲 Cycle to Work Scheme
🚂 Season Ticket Loan
💬 6 free therapy sessions per year
🐶 Dog Friendly Offices
🍫 Free drinks and snacks in our offices

Check out more of our benefits, values and mission here.

Location: UK or Portugal

Department: Engineering

Employment Type: Permanent

About YLD:

Our goal is to help our clients keep moving forward. We work with them to build the skills and capabilities they need to stay ahead of the competition, and we know our success only happens when they succeed. We’re a team of curious, talented people, and we’re committed to making YLD a place where great people want to work, grow, and stay. We’re a remote-first consultancy specialising in software engineering, product design, and data. Our teams are based across London, Lisbon, and Porto, and we create digital solutions that continue to deliver value long after our work is done.

About the role:

As a Senior Data Engineer, you’ll be part of a client team building innovative products. We expect you to be curious, passionate, driven, and enthusiastic. You’ll be proficient at problem-solving, and crafting scalable, resilient, and fault-tolerant architectures. You’ll be an effective communicator and a team player. You and your team will move in a fast-paced engineering environment, achieving outstanding results and delivering exciting projects.

About you:

A YLD Senior Data Engineer is a highly skilled engineer who spans across data engineering and analytics engineering, and knows where the boundaries sit. You've built pipelines and transformation layers. You've inherited messy data projects and made them good. You have opinions about how data teams should work and the humility to adapt them to context.

You have a real passion for the craft and are an active learner who gets excited by the variety that consultancy brings: different clients, different stacks, different problems.

Your day-to-day responsibilities will look like this:

• Delivering data work on client engagements: pipelines, transformation layers, models, and the infrastructure around them
• Adapting to different client contexts, legacy warehouse migrations, greenfield lakehouses, struggling transformation layers that need rescuing
• Defining and evolving our internal standards for data work: testing, documentation, project structure, code review
• Mentoring and growing data engineers across the company
• Showing up for client team moments (internal speakers, learning sessions, social events) to build strong working relationships.
• Contributing to proposals and helping shape engagements during the sales process
• Representing YLD externally through writing, speaking, and contributing to the wider data community.

You’ll have the following skills and experience:

• SQL as engineering: You write SQL that's reviewable, testable, and performs at scale. You understand query planning, engine quirks, and how materialisation choices affect cost and performance
• Python for data: You write typed, testable Python for pipelines and tooling. You've built and maintained production data systems, not just notebooks
• Data modelling: You've made deliberate choices between dimensional, Data Vault, normalised, and denormalised designs. You can explain those trade-offs in terms of flexibility, query performance, and maintainability
• Transformation architecture: You design transformations that are idempotent, incremental, and dependency-aware. You think in DAGs, not scripts
• Pipeline design: You understand batch, streaming, and micro-batch trade-offs. You consider latency, complexity, cost, and reprocessability. And choose the right approach for the problem
• Data testing: You write tests as code, schema contracts, assertions, and transformation logic. You know what to catch at build time vs. defer to observability
• Data observability: You treat data reliability like site reliability. Measurable indicators, alerting, incident response, and root cause analysis
• CI/CD for data: You version, test, and deploy pipelines like software. Environment promotion, rollback strategies, and infrastructure as code for reproducible environments
• Data governance: You've implemented lineage, cataloguing, sensitive data classification, or access control. Not just built pipelines, but made them auditable and secure
• Cost-conscious: You've optimised warehouse spend, storage strategies, or job efficiency. You treat compute as a resource to manage, not ignore
• Platform fluency: You've worked across the modern stack. Orchestration (Airflow, Dagster), warehouses (Snowflake, BigQuery, Databricks), ingestion (Fivetran, Airbyte, custom), and transformation (dbt, Spark)
• Cross-functional fluency: You translate engineering constraints into business terms and negotiate realistic commitments

You’ll be:

• Self-motivated and proactive
• Comfortable with ambiguity, experimentation, and iteration
• Collaborative by default. You work well in teams and across teams
• Analytical and detail-oriented in your approach to problems
• Comfortable context-switching across clients, stacks, and problem types
• Willing to shape engagements, not just deliver them: contributing to proposals, scoping, and client relationships
• Active in the wider data community: writing, speaking, or open-source contribution
• Genuinely committed to diversity, equity, and inclusion

Benefits you'll get:

• Company Private Health care
• Enhanced fully paid maternity and paternity leave for up to 6 months
• Company’s Pension Scheme (UK Only)
• 25 days annual holiday (excluding Public Holidays)
• £2000/€2000 annual allowance for Training/Conferences
• £300/€300 annual allowance for additional hardware
• Wellbeing & Performance Support via Oli including Therapy and Coaching
• Discretionary Bonus (depending on Company performance and results)
• Company laptop
• Generous referral schemes

Our typical Recruitment Process looks like this:

• 1st Interview with someone from the Talent team (30-45 Minutes)
• Technical Interview with our Senior Developers (90 Minutes)
• Call with the Head of Engineering (60 Minutes)

Get a glimpse of what it's like working at YLD! 🤳

Check out our LinkedIn page

We live and breathe our values, and know you will too:

• Growing every day
• Including everyone
• Relationships built on honesty and ethics
• Inspiring solutions
• Winning together

We’re an equal-opportunity employer and value diversity in all its forms. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability. We also offer a remote-first working environment, with flexible working and work–life balance as standard for all employees.

Who we are

The role

At Helsing we develop and deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations, so must be both reliable and frictionless. Taken together, this brings a whole host of interesting engineering challenges across a wide variety of fields that you’ll help us solve. To give some examples:

• Distributed systems (e.g., intermittent connectivity and byzantine actors)

• Embedded computing (e.g., resource-constrained compute and reverse-engineering)

• Robotics (e.g., control systems and tasking)

• Networking (e.g., long-range low-bandwidth radios and cross-medium routing)

• Deployment infrastructure (e.g., air-gapped devices and heterogenous fleets)

• Security (e.g., data sharing in low-trust, no-TLS networks and actually-secret data handling)

• Machine learning (e.g., systems for model development, storage, and dissemination)

In several of these areas, we are working near the state-of-the-art; we actively read (and sometimes implement) research papers, and often need to push even further to make theory work in practice. In others, we are applying well-known techniques to real-world situations (with real-world limitations) that have never been used in before, which requires skill, diligence, and honing a deep understanding of the underlying technologies.

The day-to-day

• Review code contributions, proposals, and RFCs from colleagues. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.

• Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.

• Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.

• Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller “let’s learn together” groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time.

• Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is a mix of Rust and Python, with Python mainly living in the ML-heavy sections.

• Further develop our tests and benchmarks, both at the micro and macro level. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind.

• Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirrelling away at something that doesn’t matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing.

You should apply if you

• Can write legible, maintainable, and performant code.

• Communicate well in English, both verbally and in writing.

• Enjoy collaborating with others, including reviewing code and pair programming.

• Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).

• Have backend development experience, ideally with a language like Rust, Java, Go, or C++.

• Are familiar with backend interface tools like REST, GraphQL, gRPC/Protocol Buffers, and Arrow.

• Strive to improve yourself, your peers, and the culture you work in over time.

• Feel like ethical considerations are an inherent part of engineering.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• Rust and Python specifically.

• Container-based and cloud-native application architectures (e.g., Docker, Azure, AWS).

• Metrics tooling (e.g., Prometheus, Grafana, ELK).

• SQL and streaming database systems.

• Routing protocols (e.g., IGP, BGP).

• Cryptographic protocols (e.g., Signal, WireGuard).

• Hardware interfaces (e.g., Arduino).

• Robotics (e.g., control systems).

• Production ML systems.

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• A focus on outcomes, not time-tracking

• Competitive compensation and VSOP options

• Relocation support

• Social and education allowances

• Regular company events and all-hands to bring together employees as one team across Europe

• A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one 

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

About the role

We’re looking for a motivated Senior Robotics Software Engineer (m/f/d) to join our software team who'll create cutting-edge, unmanned ground vehicles for governmental and civilian applications. In your day-to-day work, you’ll design efficient and scalable software systems to enable seamless communication, collaboration, and performance optimisation across robotic devices.

To join our team, you should be excited to:

• Design and implement robotic software architectures to ensure robust device communication and optimise system performance
• Develop and integrate software solutions for sensors, actuators, and electronic systems in robotics applications
• Define and optimise communication protocols (e.g., CAN, Ethernet, wireless) for secure and reliable data exchange
• Collaborate with cross-functional teams to ensure seamless integration of hardware and software components
• Establish best practices for modular and scalable software development in robotics
• Conduct rigorous testing and validation to ensure the performance, reliability, and security of robotic systems
• Provide technical documentation to support knowledge sharing and streamline development processes
• Mentor and guide team members in adopting architectural principles and best practices

Your Profile

• Over 5 years of hands-on experience in robotics software development
• Proficient in C++ with extensive experience using ROS2 (Robot Operating System)
• Deep understanding of robotic systems architecture, including sensors, actuators, embedded computing platforms, and real-time system constraints
• Well-versed in communication protocols such as CAN, Ethernet, TCP/UDP, and serial interfaces
• Strong background in Linux environments, containerization with Docker, and implementation of modern CI/CD pipelines
• Proven problem-solving and debugging skills, particularly in systems involving hardware-software integration.
• Bachelor’s degree, Master's degree or Ph.D. in Computer Science, Robotics, or a related field
• Willingness to travel (UK and EU primarily) and work in operational or military environments during field trials and customer events
• Fluency in English is required and German is nice to have
• Eligibility to work in the UK is required

Benefits and Perks

• Competitive salary and benefits package
• A shaping role in an emerging dual use company
• Opportunity to work with a highly innovative, international, and dynamic team
• Room for professional growth and development
• Participation in the company's success, with access to regular events, knowledge exchange and meetups

We recognise that members of the Armed Forces community may have unique career paths and may face particular challenges due to service life. We welcome applications from members of our Armed Forces Community and will take relevant circumstances into account during our recruitment process. 

Any information you provide will be treated in confidence and used only to help us understand any context we should consider, such as career gaps or frequent relocations, all with the aim of ensuring members of the Armed Forces community are not unfairly disadvantaged. 

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 

As a hardware signal integrity engineer you will develop, extract and simulate PCB structures to ensure that the high speed SERDES (112Gbps) and DDR interfaces perform correctly within the system budget. 

You will work closely with the PCB and package substrate CAD engineers to design component signal launches from BGA components and connectors, layer transition via structures, and cable interconnect. You will define the low-loss materials to be used for future designs and work closely with Graphcore’s system architecture team and suppliers to ensure the best possible performance is achieved. You will be an expert user of high-speed PCB simulation tools and be familiar with industry best practice in high-speed digital system design.

The Team

Graphcore’s Hardware Engineering Team creates both products for sale in volume production and hardware test & validation systems based on Graphcore’s IPU processor.

These systems allow Graphcore’s customers to develop leading-edge machine-leaning solutions for training and inference.

Responsibilities and Duties

Signal and Power Integrity specialist for the development of production systems and test boards for Graphcore’s family of processors.
Includes:

• Development of printed circuit board structures for high frequency (112Gbps, 16Gbps) SERDES interfaces, DDR interfaces 
• PCB stackup definition
• System, PCB and substrate level simulation and analysis of signal and power integrity
• Graphcore Integrated Circuit device interface requirements definition, tool & vendor relationships
• PCB design requirement and constraint definition, PCB layout supervision
• Prototype bring-up, evaluation, validation & system test

Candidate Profile 

• 5+ years’ experience in high-speed digital circuit development, with a deep understanding of signal and power supply integrity
• Knowledge of high-speed circuit design requirements to ensure signal integrity and robust rejection of interference and crosstalk is essential
• Experience of high frequency (tens of GHz) SERDES design and validation
• Experience with ANSYS SIWave, HFSS, and/or Mentor Hyperlynx Signal and Power Integrity tools
• High speed processor system design with experience in interfaces such as SERDES, PCI, DDR, Ethernet, etc.
• Design of BGA & connector pad launches, via structures and transmission lines for GHz signals.
• This position will require extensive practical work in the lab, bringing up, debugging and validating designs
• Expertise in the use of vector network analysers, high speed digital oscilloscopes, signal generators
• A rigorous approach is required to make sure designs will work correctly the first time
• Independent working and the taking of responsibility, with excellent cooperative and communications skills to work in a small team environment
• Experience working in a small team, which requires a wide range of skills, an eagerness to participate in all parts of the development cycle from concept to testing in the lab and supporting manufacture and customers. 

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.

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

As a Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field.

The Team

The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications.

If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!

Responsibilities and Duties

• Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators.
• Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews.
• Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency.
• Design and conduct experiments on novel AI methods, implement them and evaluate results.
• Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware.
• Engage with AI community and keep in touch with the latest developments in AI.

Candidate Profile

Essential:

• Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field.
• Proficiency in deep learning frameworks like PyTorch/JAX.
• Strong Python or C++ software development skills
• Expertise in deep learning from model training to optimisation and evaluation.
• Experience in distributed training or inference of ML models across 64+ accelerators.
• Capable of designing, executing and reporting from ML experiments.
• Developed deep understanding of performance bottlenecks and how to overcome them.
• Ability to move quickly in a dynamic environment
• Enjoy cross-functional work collaborating with other teams.
• Strong communicator - able to explain complex technical concepts to different audiences.

Desirable:

• Experience in one or more of:
  • MLOps for Kubernetes-based clusters
  • Building production systems with large language models
  • Efficient computing based on low-precision arithmetic.
• Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models.
• Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies.
• Have contributed to open-source projects or published research papers in relevant fields.
• Knowledge of cloud computing platforms.
• Keen to present, publish and deliver talks in the AI community.

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.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

Senior: PLN 260,400 - 352,200
Staff: PLN 350,700 - 474,400
Subject to alignment to the responsibilities and duties of the role - we currently have multiple positions available at both Senior and Staff level

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

As a Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field.

The Team

The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications.

If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!

Responsibilities and Duties

• Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators.
• Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews.
• Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency.
• Design and conduct experiments on novel AI methods, implement them and evaluate results.
• Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware.
• Engage with AI community and keep in touch with the latest developments in AI.

Candidate Profile

Essential:

• Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field.
• Proficiency in deep learning frameworks like PyTorch/JAX.
• Strong Python or C++ software development skills
• Expertise in deep learning from model training to optimisation and evaluation.
• Experience in distributed training or inference of ML models across 64+ accelerators.
• Capable of designing, executing and reporting from ML experiments.
• Developed deep understanding of performance bottlenecks and how to overcome them.
• Ability to move quickly in a dynamic environment
• Enjoy cross-functional work collaborating with other teams.
• Strong communicator - able to explain complex technical concepts to different audiences.

Desirable:

• Experience in one or more of:
  • MLOps for Kubernetes-based clusters
  • Building production systems with large language models
  • Efficient computing based on low-precision arithmetic.
• Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models.
• Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies.
• Have contributed to open-source projects or published research papers in relevant fields.
• Knowledge of cloud computing platforms.
• Keen to present, publish and deliver talks in the AI community.

Benefits

In addition to a competitive salary, Graphcore offers 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.

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

As a Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field.

The Team

The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications.

If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!

Responsibilities and Duties

• Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators.
• Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews.
• Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency.
• Design and conduct experiments on novel AI methods, implement them and evaluate results.
• Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware.
• Engage with AI community and keep in touch with the latest developments in AI.

Candidate Profile

Essential:

• Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field.
• Proficiency in deep learning frameworks like PyTorch/JAX.
• Strong Python or C++ software development skills
• Expertise in deep learning from model training to optimisation and evaluation.
• Experience in distributed training or inference of ML models across 64+ accelerators.
• Capable of designing, executing and reporting from ML experiments.
• Developed deep understanding of performance bottlenecks and how to overcome them.
• Ability to move quickly in a dynamic environment
• Enjoy cross-functional work collaborating with other teams.
• Strong communicator - able to explain complex technical concepts to different audiences.

Desirable:

• Experience in one or more of:
  • MLOps for Kubernetes-based clusters
  • Building production systems with large language models
  • Efficient computing based on low-precision arithmetic.
• Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models.
• Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies.
• Have contributed to open-source projects or published research papers in relevant fields.
• Knowledge of cloud computing platforms.
• Keen to present, publish and deliver talks in the AI community.

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.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

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

As a Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field.

The Team

The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications.

If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!

Responsibilities and Duties

• Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators.
• Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews.
• Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency.
• Design and conduct experiments on novel AI methods, implement them and evaluate results.
• Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware.
• Engage with AI community and keep in touch with the latest developments in AI.

Candidate Profile

Essential:

• Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field.
• Proficiency in deep learning frameworks like PyTorch/JAX.
• Strong Python or C++ software development skills
• Expertise in deep learning from model training to optimisation and evaluation.
• Experience in distributed training or inference of ML models across 64+ accelerators.
• Capable of designing, executing and reporting from ML experiments.
• Developed deep understanding of performance bottlenecks and how to overcome them.
• Ability to move quickly in a dynamic environment
• Enjoy cross-functional work collaborating with other teams.
• Strong communicator - able to explain complex technical concepts to different audiences.

Desirable:

• Experience in one or more of:
  • MLOps for Kubernetes-based clusters
  • Building production systems with large language models
  • Efficient computing based on low-precision arithmetic.
• Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models.
• Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies.
• Have contributed to open-source projects or published research papers in relevant fields.
• Knowledge of cloud computing platforms.
• Keen to present, publish and deliver talks in the AI community.

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.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

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

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 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

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.  

The group’s work centres around the interface between games and graphics hardware. Our job is to create a development environment – and to a degree hardware – for game teams, middleware providers, and our own platform teams. We enable other to create compelling games and technologies, so that our players get the most out of investing in our platform. When a developer implements a path-tracer, they will be using our APIs to program the GPU and build their BVH structures, our compiler to create shader microcode and our tools to debug and profile. 

What you’ll be doing 

• You will be joining the team responsible for rendering APIs, shader compiler, profiler  and debugging tools used by developers to being games to PlayStation. 

• You will have the opportunity to work on multiple projects to determine which area suits you best. 

• You implement features, fix bugs, profile and optimise code, and possibly help game developers get the most of our hardware and software.  

• You will be joining early-career development events provided by the company. 

This is a unique opportunity for a graduate to get to the heart of PlayStation graphics programming and to work with and learn from a highly experience team. 

We are offering a 12-month fixed-term contract as part of our wider Graduate Programme within the Product and Technology group. This programme is designed to provide a structured early-career experience, combining hands-on work with dedicated development opportunities. 

As part of the scheme, you will have access to a speaker series featuring leaders and experts from across the organisation, a range of training opportunities to build professional skills, and regular opportunities to connect and network with fellow graduates across the Product and Technology organisation 

What we are looking for 

• A strong interest in how GPUs work and how to use them efficiently. 

• Experience in writing, debugging, and optimizing C++ code. 

• Experience with writing code that directly accesses low-level graphics APIs such as DirectX 12 or Vulkan.  

• Experience with writing shader code. Complex shading models are not required, but experience with non-trivial compute shaders is a plus. 

• A demonstrable interest in computing and computer hardware and ideally gaming consoles. 

• Experience with hardware ray-tracing is a plus. 

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. 

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

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. 

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

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

ABOUT THE JOB

We are seeking a hardcore Systems Engineering, Integration, and Test (SEIT) Engineer to own the execution and reality-check of our true System of Systems (SoS) architecture. If our “Left-Side” Systems Engineers are the architects, you are the Chief Engineer of Reality. You own the entire Systems V for a given problem set, but your anchor is firmly planted on the "Right Side." You are not a compliance checker, a QA tester, or someone who lives entirely in spreadsheets or JAMA. You are the forcing function that brings disjointed software, hardware, and autonomy subsystems together into a singular, field-ready, system of systems capability.

Your mission is to build a "steel thread" for any given capability, the fastest path to getting a baseline, end-to-end system working in the real world, ensure it is validated for the customer’s use case, and then relentlessly iterate to make it robust. You will partner tightly with TPMs, Software Engineers (SWEs), and "Left-Side" SEs to take paper architectures and smash them into rigorous mathematical and physical reality. When the software team blames the hardware team, you are the one who steps into the SITL/HITL lab or the field, parses the logs, puts a scope on the wire, diagnoses the root cause, and drives the solution. If you thrive in high-velocity, hardware-rich environments where the ultimate metric is "execution," this is the job for you.

WHAT YOU’LL DO

• Lead the hands-on integration of complex, heterogenous hardware (legacy platforms, 3rd-party sensors, and internal products) and software. Prove the baseline end-to-end data flow first, then scale the complexity.
• You are the ultimate technical authority for Verification, Validation (V&V), and fielding. You will translate Systems Readiness Reviews (SRRs) into Systems Requirements Documents (SRDs) and SRDs into aggressive, real-world campaigns.
• Take Interface Control Documents (ICDs) and prove them on the bench and in the water. When a third-party "black box" doesn't play nice with our network, you are the primary investigator debugging the physical, electrical, and data boundaries.
• Act as the lead anomaly hunter. Conduct multidisciplinary triage across mechanical, electrical, software, and network domains during integration and field testing.
• Partner directly with TPMs (who own schedule) to balance technical risk and resource allocation. Feed ruthless, data-driven feedback loops back to the SWEs and Left-Side SEs to drive immediate product improvements.
• Own the execution of critical downstream milestones. You will write the test plans, build the Hardware-in-the-Loop (HITL) rigs, and lead the execution for readiness reviews and acceptance tests.
• Travel to the field and customer sites to lead complex operational deployments, ensuring the system transitions smoothly from R&D to operational dominance and customer success.
• Ability to travel as required for program support, proposal support, and stakeholder meetings.

REQUIRED QUALIFICATIONS

• 8+ years of rigorous Systems Engineering, Integration, and Test experience, with a heavy emphasis on the Right Side of the V (subsystem integration, HITL/SITL testing, V&V, and field execution).
• A proven track record of taking complex, multi-domain systems from the lab bench to operational environments at a breakneck pace. You must know how to make disparate systems talk.
• "Hands-on" DNA. You are as comfortable reading a Python script or parsing a JSON payload as you are debugging a serial connection or analyzing network traffic (Wireshark, TCP/IP, UDP).
• Demonstrated experience acting as the technical "glue" between highly specialized software, electrical, and mechanical engineering teams.
• Experience running formal customer sell-off milestones (FAT, SAT) and fielding products in unforgiving environments.
• Ability to travel 20% with potential surges above 20%
• Must be authorized to work in the United Kingdom

PREFERRED QUALIFICATIONS

• Experience operating, integrating, and troubleshooting complex systems in a maritime or subsea environment (acoustic sensors, underwater navigation, comms relays), but Maritime domain experience is not required.
• Proficiency in scripting and data analysis tools (Python, bash, MATLAB) to rapidly parse logs, automate test rigs, and visualize system performance in the field.
• Familiarity with Linux operating systems, RTOSes, and edge-compute architectures.
• Familiarity with building and utilizing Hardware-in-the-Loop (HITL) and Software-in-the-Loop (SITL) test infrastructures.
• Experience with subsea operational procedures, launch and recovery systems (LARS), and offshore test execution.

Since 2023, Anduril UK has experienced rapid growth, introducing world-leading software-first, hardware-enabled systems to the UK Ministry of Defence and other government agencies. Our exemplar programme of Maritime Sentry Towers (MST), has been developed and delivered in close partnership with the UK government and sovereign British industry, fundamentally changing how border security and surveillance capabilities can be employed by UK authorities. Additionally, Anduril UK has expanded its portfolio to include the ALTIUS-600, a versatile autonomous aerial system, and Seabed Sentry, an advanced underwater surveillance platform. These systems, along with others, position Anduril UK to provide a broad range of software and software-enabled hardware products to meet the UK's defence and security needs as outlined in the 2023 Integrated Review Refresh and Defence Command Paper.

World-leading technology like MST, ALTIUS-600, Seabed Sentry, and many of the other autonomous systems that will underpin the UK's technological future rely on modern C4 systems. These systems can integrate and fuse data across distributed systems, nodes, and networks to enable timely command decision-making. Anduril's open architecture Lattice operating system is an AI-powered software platform that transforms thousands of data streams into actionable information for operators at all levels.

As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, and networking technology to UK defence and security personnel in months, not years. Our focus is on rapidly delivering innovative solutions that enhance the UK's defence capabilities, support its industrial strategy, and contribute to its position as a science and technology leader.

ABOUT THE TEAM

The Mission Software Engineering team is responsible for building, deploying, integrating, extending, and scaling Anduril's software to deliver mission-critical capabilities to our customers. As the software engineers closest to Anduril customers and end-users, Mission Software Engineers solve technical challenges of operational scenarios while owning the end-to-end delivery of winning capabilities such as Counter Intrusion, Joint All Domain Command & Control, and Counter-Unmanned Aircraft Systems.

ABOUT THE JOB

As a Senior Software Engineer on the Connected Warfare team, you will help architect third party systems to seamlessly integrate with Anduril products while solving a wide variety of technical problems, making pragmatic engineering tradeoffs along the way. Your role sets the bar for the technical excellence our customers expect from Anduril. Above all, Mission Software Engineers are driven by a “Whatever It Takes” mindset—executing in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind and making sound engineering decisions to deliver successful outcomes correctly, on-time, and with high quality.

WHAT YOU’LL DO

• Be a champion for Anduril capabilities within a customer environment
• Develop architecture and mission vignettes
• Iterate on core data mesh technology to make optimal use of degraded networks
• Develop connectors and APIs for legacy and cutting edge systems to integrate with Lattice
• Deploy software to non-standard environments
• Create data flow pipelines that span horizontally and vertically across disparate networked systems and security domains

REQUIRED QUALIFICATIONS

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• At least 5+ years working with a variety of programming languages such as Java, Python, C++, Rust, Go, JavaScript, etc.
• Experience building software solutions involving significant amounts of data processing and analysis
• Ability to quickly understand and navigate complex systems and established code bases
• Experience working in a customer / client facing role
• A desire to work on critical software that has a real-world impact
• Ability to travel to client sites
• Eligible for SC Clearance

ABOUT THE ROLE

Anduril’s Deployment Operations group is seeking a Technical Operations Engineer to join our team. This is a UK based role. As a member of Anduril’s Technical Operations team, you will be responsible for deploying and supporting Anduril’s products all over the world. You will go forward with products early on in their lifecycle and work with engineering teams to iteratively improve them over time. The challenges you will encounter are innumerable and unpredictable, but you will be expected to take ownership of delivering the technical solution.

You must be both a teacher and a student, able to coach teammates on systems that you’ve gained intimate familiarity with and then transition into mastering the next system. You’ll also guide users through product employment and troubleshooting, advise account managers on how to structure an operation to ensure technical success, and communicate specific recommendations for product refinement to engineering teams.

Joining the Technical Operations team, you will be at the sharp end of deploying and supporting Anduril’s cutting-edge Counter UAS & counter intrusion systems. Collaborating closely with the Mission Operations team, you will play a pivotal role in the early stages of product life cycles, including live demonstrations, training, and customer deployments. As a Technical Operations Engineer, you will be responsible for mastering, maintaining, and operating a comprehensive suite of sensors and effectors systems globally. A key part of your role will be leading cross-functional teams in challenging environments, often with limited support, to ensure mission success.

REQUIRED QUALIFICATIONS

• Network+ and Linux+ or equivalent experience preferred
• Must be able to lift 50-70 lbs
• Work in austere environments, climb towers, use of basic hand tools
• Understanding of AC/DC power systems, generators, load calculations & electrical fault finding
• Experience configuring & fault finding IP networks using fibre optic, ethernet & RF modalities
• Experience with RF systems (PtP, PtMP, mesh) understand basic antenna concepts & spectrum analysis
• Systematic troubleshooting and documentation of systems
• Able to operate independently and in teams, interact with customers and train users
• High travel rate, both domestic and international. Must have passport.
• Ability to gather requirements from end-users. Communicate and teach complex subjects with clarity and simplicity. Able to build trust cross-functionally, navigate customer hierarchies, and influence teams in a peer-leadership capacity.
• Proven ability to master a technical system and support it in austere environments. Must demonstrate an innate drive to be self-sufficient across the breadth of a technical system.
• Strong aptitude for problem solving in unstructured situations at the interface of hardware, software, and networking. Ability to drive challenging and vague technical problems to clarity and resolution.
• Naturally inquisitive, able to independently research and learn new technical components or concepts.
• Ability to develop complex operational and logistics plans to move people and things quickly, over long distances, in unfamiliar locations.
• Willingness to travel to remote regions of the world for up to two months at a time (up to 80% of the year).
• Ability to obtain and maintain UK security clearance.
• Able to meet health and medical requirements in advance of deployments.

PREFERRED QUALIFICATIONS

• B.S. in Mechanical Engineering, Aerospace Engineering, Computer Science, or related technical field
• Prior military or overseas contracting experience.
• Familiarity with Linux OS. Comfortable obtaining data from software platforms using command-line tools.
• Strong mechanical aptitude with tools and electronics.

ABOUT THE JOB

The Maneuver Dominance team at Anduril develops operationally relevant, multi-asset autonomy. We are focused on building the next generation of autonomous capabilities by leveraging existing Anduril platforms like Ghost or Altius, bringing 3rd party platforms into Anduril's Lattice ecosystem, and developing breakthrough systems that will shape the future of the battlefield. We build Software services and Autonomy algorithms that solve some of the hardest problems facing our customers.

As a Mission Software Engineer on the Maneuver Dominance team, you will solve a wide variety of problems involving networking, autonomy, systems integration, robotics, and more, while making pragmatic engineering tradeoffs along the way. Your efforts will ensure that Anduril products seamlessly work together to achieve a variety of critical outcomes. Above all, Engineers within Maneuver Dominance are driven by a “Whatever It Takes” mindset—executing in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind and making sound engineering decisions to deliver successful outcomes correctly, on-time, and with high quality.

WHAT YOU'LL DO

• Own the feature development and software solutions that are deployed to customers
• Write code to improve products and scale the mission capability to more customers.
• Collaborate across multiple teams to plan, build, and test complex functionality.
• Create and analyze metrics that are leveraged for debugging and monitoring.
• Triage issues, root cause failures, and coordinate next-steps.
• Work closely with Anduril and 3rd party vehicle hardware teams, as well as operational subject matter experts (pilots, UAV operators, etc.) to align on requirements during product development and iterate towards a final design.
• Write and maintain core libraries and services that perform critical functions for collaborative teams of robots - for example, motion deconfliction and contingency management of fast mover air vehicles.
• Travel up to 20% of time to build, test, and deploy capabilities in the real world

REQUIRED QUALIFICATIONS

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• 2+ years of professional industry experience working with C++ or Rust programming languages.
• Experience building software solutions involving significant amounts of data processing and analysis.
• Ability to quickly understand and navigate complex systems and established code bases.
• A desire to work on critical software that has a real-world impact.
• A bias for action, extreme ownership, and the drive to see projects through from concept to production.
• Eligible to obtain and maintain an active UKSV Security Clearance

PREFERRED QUALIFICATIONS

• Strong background with focus in Physics, Mathematics, and/or Motion Planning to inform modeling & simulation (M&S) and physical systems.
• Developing and testing multi-agent autonomous systems and deploying in real-world environments.
• Feature and algorithm development with an understanding of behavior trees.
• Developing software/hardware for flight systems and safety critical functionality.
• Experience with distributed communication networks and message standards.
• Knowledge of military systems and operational tactics.

About the Team

Anduril’s Maritime Division has assembled a diverse team of experts in software, robotics, artificial intelligence, sensor fusion, and data analysis to create software and hardware solutions that radically evolve the capabilities of our customers. We are fielding the next generation of autonomous systems to tackle the extremely challenging industry demands of maritime operations. Anduril has brought to market a unique, ultra-long-range, full-ocean-depth underwater vessel platform and a completely refreshed maritime vehicle and flexible manufacturing architecture that scales from "small" to "extra-large" vehicle sizes. Today, Anduril is executing on billion-dollar contracts while simultaneously performing Robot-as-a-Service (RaaS) AUV operations.

We are seeking to sustain our early successes with deep investment in an expanded product portfolio. These products, including Dive-XL, Dive-LD, Copperhead, Seabed Sentry, and other unannounced systems, will deliver a coherent system-of-systems, enabling the end-to-end conduct of a variety of autonomous missions in the maritime domain. If you are passionate about solving problems that have real impact and working on systems that directly contribute to achieving national strategic priorities, we want you to join Anduril’s Maritime Division and help us build the future of defense capability.

About the Job

Senior Software Engineers independently drive the delivery of a variety of software integrated in to our products. This includes autonomy, simulation, data processing, payload integration, and off-board command and control and decision support. We expect Senior Software Engineers to demonstrate end-to-end outcome ownership at the major subsystem or system level. Senior Software Engineers contribute as a technical lead to the rapid architecting, design, delivery, support, and evolution of next generation autonomous platforms through their entire product life-cycle.

What You’ll Do

• Empathize with end-users and drive solutions that balance their needs with external constraints, restrictions and requirements in a multi-stakeholder environment
• Own software enabled solutions that are deployed to customers, optimizing for the delivery of value to the end-user
• Design and implement scalable software that rapidly delivers capability beyond the scope of current platforms, with a clear path for both architecture and capability evolution over time
• Contribute to the design and development of existing software services across Anduril, with the aim of developing components that are re-usable across multiple Anduril product lines
• Develop software that runs on- and off- robotic platforms, using a variety of technologies
• Contribute to the design, implementation and execution of development processes for the initial delivery and subsequent iteration of vehicle and mission software, including full lifecycle testing, monitoring and operation
• Create test and simulation fixtures that operate with both software- and hardware-in-the-loop
• Support vehicle manufacturing and deployment
• Work as a member of a multi-disciplinary engineering team, including as a mentor for Software Engineers from differing backgrounds
• Travel to co-locate with end-users and/or other teams up to 20% of the time

Required Qualifications

• Bachelor’s degree in Robotics, Mechatronics, Computer Science, Engineering, a relevant field, or equivalent experience
• Extensive professional experience working as a Software Engineer with one or more domains and/or technologies of expertise
• Systems and/or application programming skills including algorithms, data structures, concurrency, scaling, testing, infrastructure, software design and system design
• Experience troubleshooting and analyzing remotely deployed software systems
• Capacity to work holistically on software enabled capabilities up and down the software stack and through lifecycle through design, implementation, operation and sustainment
• Capacity to act as the technical owner for a software service, including stakeholder engagement, requirements definition, roadmap management, team co-ordination, design, implementation, sustainment and evolution
• Capacity learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity
• Eligible to obtain and maintain an active U.S. Secret security clearance

Preferred Qualifications

• Experience in a senior role for the delivery of a military mission system
• Experience writing backend services or embedded software in C++ and/or Rust
• Experience with the design, implementation and operation of horizontally scaled cloud technologies
• Experience with the design, implementation and support of embedded software, particularly in the field of robotics
• Experience with modeling and simulation
• Experience with development of high assurance safety critical software
• Experience within the product delivery lifecycle including manufacturing, system acceptance, deployment, and sustainment.
• Familiarity with Systems Engineering concepts
• Desire to learn and grow in to other roles that require experience as a Senior Software Engineer, such as Staff Software Engineer and/or Software Engineering Manager
• Desire to grow in to a Tech-Lead-Manager role, with responsibility for line management of engineers, in addition to delivery

Hudson River Trading (HRT) is seeking a Physical Design Engineer with a broad, versatile skillset to join our growing Hardware team. In this role, you will help deliver performance-critical ASICs and advance our physical design methodologies on leading-edge process nodes.

The Hardware team at HRT builds high-performance compute engines using FPGA and ASIC technology to drive low-latency trading decisions on global markets. We create custom solutions across the full spectrum of speed and sophistication, from bespoke circuits to world-class machine learning accelerators.

Responsibilities

• Drive design-for-test (DFT) methodologies and implementation 
• Contribute to physical implementation, from RTL handoff through GDSII on advanced process nodes 
• Partner on floorplanning and physical optimization for high-performance, latency-critical designs
• Close timing across multiple modes and corners while optimizing power, performance, and area (PPA)
• Diagnose and resolve physical design issues such as timing bottlenecks, congestion, and IR/EM violations
• Build, maintain, and improve repeatable, automated physical design flows
• Develop scripts and tooling to improve productivity, robustness, and insight into design behavior
• Collaborate closely with RTL, architecture, and other hardware engineers to influence design decisions early

Qualifications

• Experience working in high-performance ASIC design environments
• Strong fundamentals in digital logic, circuit design, and process technology
• Familiarity with DFT concepts and testing methodologies
• Strong scripting and automation skills (Python, Tcl, shell), including parsing and analyzing tool outputs
• Ability to design robust methodologies, diagnose complex failures, and improve physical design flows
• Applied use of statistics in analyzing timing, power, or design data (preferred)
• Hands-on experience with static timing analysis and timing closure methodologies
• Expertise using industry-standard physical design and signoff tools (e.g., Innovus, PrimeTime)

This job is accepting ongoing applications and there is no application deadline.

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience.

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Hudson River Trading (HRT) is seeking curious, thoughtful engineers who enjoy working with data and solving real-world technical problems to join our growing Market Structure Analysis team. In this role as a Quantitative Latency Engineer, you’ll apply data-driven methodologies to understand and optimize trading technology and real-time interactions with financial markets across the globe, spanning traditional and crypto exchanges. No prior finance experience is needed!

Responsibilities 

• Analyze time series network and exchange protocol captures
• Become familiar with the details of specific markets, attend presentations and liaise with exchange counterparts
• Research exchange features, capabilities, and architecture
• Automate collection and visualization of metrics that quantify efficacy of exchange communication
• Formulate and conduct controlled experiments that measure impact of calculated changes to HRT’s trading infrastructure
• Communicate ideas, requirements, and results across disparate teams
• Improve fill rate of our hardware-based trading strategy
• Reduce incidence of cancel-reject responses
• Investigate and report details of various latency-sensitive exchanges

Profile 

• You possess a degree in Data Analytics or a related field
• You can collect and interpret network and/or financial market data
• You have professional experience in latency reduction, preferably in finance
• You have a basic understanding of proprietary trading and exchange technologies

Skills 

• Proficiency in data analytics including statistics, data visualization, and working with large data sets
• Basic understanding of TCP and UDP network protocols
• Extensive experience with Python and relevant data libraries (Pandas, Numpy/Scipy)
• Some familiarity with the details of modern computer systems and networks
• Experience with real time exchange market data and order entry a plus

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is looking for GPU Systems Engineers to help scale and evolve our exceptionally sophisticated HPC/AI research environment. 

Joining our Research and Development team, you will collaborate with experts responsible for the compute, storage, operating systems, and automation tools that enable our trading and research to run 24/7 across the globe. We design, grow, and operate infrastructure at a large scale, including triple-digit petabyte-scale storage and massive CPU and GPU clusters in globally distributed data centers. As such, this is a high-impact role with broad scope, from HPC/AI cluster design and performance tuning, to troubleshooting and automation for thousands of nodes.

Responsibilities

• Design, build, and optimize large-scale distributed GPU compute clusters
• Identify and resolve GPU workloads’ performance bottlenecks across compute, storage, and networking layers
• Collaborate with research and development teams to profile, benchmark, and fine-tune GPU-based workloads
• Automate system deployment, monitoring, and troubleshooting across thousands of nodes
• Collaborate with research, and engineering teams to support evolving workloads
• Own critical infrastructure projects — from concept to implementation and support
• Test and deploy new hardware and software, and partner with vendors to resolve complex issues

Qualifications 

• 5+ years of experience in large-scale Linux systems engineering in HPC, AI or distributed infrastructure roles.
• Extensive experience in Linux system installation, performance tuning, and troubleshooting
• Expertise in troubleshooting distributed GPU workloads
• Deep knowledge around GPU optimization and performance  
• Proficiency in Python scripting and automation frameworks 
  • CUDA or C/C++ experience is a plus
• Experience with NVIDIA technologies beyond CUDA, such as NCCL, GPUDirect RDMA, and NVLink 
• Familiarity with configuration management tools (e.g. Salt, Ansible, Puppet, Chef)
• Comfortable diagnosing complex system issues at the hardware, OS, and network levels
• Strong communication and organizational skills; able to collaborate across diverse technical teams
• Thrive in fast-paced environments and excited by high-impact work

The estimated base salary range for this position is 150,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. 

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

Hudson River Trading (HRT) is looking for Systems Engineers to join our growing Research & Development team. This team builds and maintains exceptionally large and growing distributed compute clusters, multi petabyte-scale storage layers, operating systems, automation software, and development tools. We have incredibly large GPU and CPU compute clusters, larger than most national labs. We are building or have built our own on-prem data centers globally and have teams focused on industry leading compute, network, storage and power optimization. Our people and our compute capabilities are our two most important differentiators, and that is where we are investing the most.

As a full-time Systems Engineer, you’ll work on projects that impact our live trading and research and allow them to run worldwide 24/7. A typical day could include scaling and keeping our HPC environment running smoothly or designing and building services to improve HRT’s research environment, but responsibilities are broad! Your day could also consist of hardware and software installation and configuration, remote administration, monitoring, new hardware and software testing, automation and tool development, and performance tuning. 

Responsibilities

• Plan/execute technical projects to make our Linux trading systems (hardware, network, OS, etc) faster, adaptable, and more maintainable
• Manage and optimize large scale distributed compute/HPC clusters
• Automate/troubleshoot a broad range of technical infrastructure 
• Troubleshoot hardware and software issues
• Operating system installation and upgrading
• Performance testing and tuning
• Scripting to automate repetitive tasks
• Working with vendors to resolve issues

Qualifications

• 5+ years of relevant experience
• Expertise in installation, configuration, and troubleshooting of Linux systems
• Comfortable using Linux/UNIX command line tools
• Experience with configuration management tools
• Python and Shell scripting experience
• Attention to detail needed to manage and debug production services
• Strong communication and organization
• You enjoy tinkering with technology in your spare time
• Exceptional communication skills - this role will require cross-collaboration with various stakeholders across HRT
• You are resourceful, have a sense of urgency, and are motivated to make things better and to always be learning
• Ability to context switch to work on several projects at once 
• Experience and knowledge of Debian/Ubuntu is a plus
• GPU Optimization experience is a plus

The estimated base salary range for this position is 150,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is seeking a Trading Systems Engineer to join our growing Trading Systems Infrastructure team. This team designs, builds, and maintains the infrastructure that powers our global trading, and is responsible for ensuring optimal performance and uptime of the ultra low-latency operating systems, automation software, and development tools that allow our trading strategies to run worldwide 24/7.

As a Trading Systems Engineer, you’ll work on projects focusing on our real-time production trading environment and tackle problems that require high availability, high throughput, and ultra low-latency solutions. The ideal candidate possesses a passion for coding and automation, is eager to learn new skills to help build an elegant stack, and has the ability to handle challenging technical issues within a dynamic and fast-paced environment.

Responsibilities

• Design, manage, automate, and optimize worldwide Linux-based trading infrastructure by planning and executing complex technical projects and tasks
• Troubleshoot hardware and software issues across the stack 
• Design and implement system installations and upgrades 
• Deploy, configure, and test internal and external applications 
• Remain unfazed by production-critical issues, resolving them quickly and efficiently
• Benchmark and tune the performance of the trading stack 
• Hold vendors accountable on performance and reliability issues, with the ability to confidently go toe-to-toe with a vendor's Tier 2 engineering team during an escalation
• Join an on-call rotation schedule to cover trading hours and weekend shifts, as needed

Qualifications

• 7+ years of relevant experience supporting a live production environment (especially trading)
• Expert in installing, configuring, and troubleshooting Linux systems, from hardware and networking to kernel to applications 
• Knowledge of Debian/Ubuntu is desirable
• Proficiency with configuration management tools, particularly SaltStack – strong knowledge of Puppet, Ansible, Chef, or CFEngine is also desirable
• Advanced programming experience focusing on automation and integration; Python is strongly preferred
• Advanced shell (bash) scripting experience
• Significant experience managing and debugging production trading services
• Strong cross-functional communication and organization skills
• Proven ability to manage assigned projects efficiently, ideally using JIRA
• Architect-level cloud experience in AWS or GCP is desirable, but not required

This job is accepting ongoing applications and there is no application deadline.

The estimated base salary range for this position is 150,000 to 250,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience.

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

The Research and Development (R&D) team at Hudson River Trading (HRT) builds and maintains the computers, networks, data storage, operating systems, and software that allow our trading strategies and research environment to operate worldwide 24/7. The Storage team within R&D manages hundreds of petabytes of storage to facilitate industry-leading AI/ML-based trading.

We are seeking an experienced Storage Engineer who enjoys being challenged, appreciates an open and collaborative organizational structure, and thrives in a fast-paced environment. In this role, you will manage our existing storage infrastructure and be responsible for the design, automation, and management of future storage solutions to support our large-scale research environment. This is an exciting opportunity to join a small team focused on HPC storage and help set the direction for storage solutions at HRT. You’ll have freedom to research, propose, and test new hardware and software to improve the performance and usability of our research environment.

Responsibilities

• Design, deploy and manage a variety of storage solutions
• Troubleshoot complex storage, OS, and networking issues
• Build tools to improve the performance and monitoring of storage clusters
• Research and experiment with new storage solutions

Qualifications

• Knowledge of distributed file systems used for large-scale cluster computing (Lustre, CephFS, GPFS, etc.) 
• Ability to design a home grown NAS storage solution with redundancy and high availability
• 3+ years of experience in HPC-like environments with large scale storage deployments greater than 1PB
• 3+ years of experience with scale-out enterprise storage solutions such as Isilon, VAST, NetApp, and Pure
• Extensive experience with Linux troubleshooting and NFS
• Strong knowledge of Linux, ZFS, and other Linux filesystems
• Proficient in Python and shell scripting 
• Strong cross-functional communication skills
• Ability to analyze and solve problems quickly in a fast-paced environment
• Exceptional time management skills and the ability to balance independent and collaborative workflows 
• Eager to learn and apply new skills

The estimated base salary range for this position is 150,000 to 250,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is seeking a Junior Trading Systems Engineer to join our growing Trading Systems Infrastructure team. This team designs, builds, and maintains the infrastructure that powers our global trading, and is responsible for ensuring optimal performance and uptime of the ultra low-latency operating systems, automation software, and development tools that allow our trading strategies to run worldwide 24/7.

As a Junior Trading Systems Engineer, you’ll work on projects focusing on our real-time production trading environment and tackle problems that require high availability, high throughput, and ultra low-latency solutions. The ideal candidate possesses a passion for coding and automation, is eager to learn new skills to help build an elegant stack, and has the ability to handle challenging technical issues within a dynamic and fast-paced environment. 

Responsibilities

• Manage worldwide Linux-based trading infrastructure by contributing to the planning and execution of complex technical projects and tasks
• Troubleshoot hardware and software issues across the stack 
• Plan and implement system installations and upgrades 
• Deploy, configure, and test internal and external applications 
• Improve documentation and reduce technical debt
• Benchmark the performance of the trading stack, working with subject matter experts across the organization
• Join an on-call rotation schedule to cover trading hours and weekend shifts, as needed

Qualifications

• 2+ years of relevant experience managing Linux systems: you can install packages, manage users, control services, and know where to look for system logs, and you understand TCP/IP networking, default gateways, and how to debug connectivity problems
• Familiarity installing and configuring Linux systems, from hardware and networking to kernel to applications 
• Knowledge of Debian/Ubuntu is desirable
• Basic familiarity with configuration management tools, particularly SaltStack – some knowledge of Puppet, Ansible, Chef, or CFEngine is also desirable
• Proven programming experience: you don't just know what big-O notation is, you've also built working software and can explain and defend your design
• Basic shell (bash) scripting experience
• Experience using JIRA
• Strong cross-functional communication and organization skills
• Experience with production systems, as well as some cloud experience in AWS or GCP, is desirable but not required

The estimated base salary range for this position is 120,000 to 160,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

The Hardware team at Hudson River Trading (HRT) creates high performance compute engines using FPGA and ASIC technology to drive low latency trading decisions on global markets. We build custom solutions across the spectrum of speed and smarts: from bespoke circuits to world-class machine learning accelerators.

These high performance designs require even higher performance verification. We are looking for experienced Design Verification (DV) engineers who are skilled at writing testbenches and building verification environments to exercise complex HDL. Our ideal candidate is not only an ace tester, but a practicing toolsmith. You know the EDA landscape and want to be part of a team actively working to rethink, redesign, and surpass the status quo. For example, members of our team are active maintainers of popular open source projects such as Slang, Verilator, and Cocotb.

FPGA and ASIC verification is part of an innovative, growing team at HRT which is integral to the success of our trading. You can expect to always be challenged by the ever-changing financial markets as you work to ensure correctness and robustness of our critical hardware in an extremely fast-paced, real-time environment. No financial experience is necessary.

Responsibilities

• Creating testbenches and tests for our hardware platform, leveraging a hybrid open-source/proprietary, highly flexible environment
• Writing detailed verification plans
• Quickly root-cause RTL bugs
• Collaborating directly with designers for rapid bringup of new projects and debugging of existing designs
• Managing test suites and continuous integration infrastructure
• Developing and improving open-source and internal tools

Qualifications 

• Superb debug and analytical skills 
• Professional experience (2+ years) in RTL functional verification for FPGA or ASIC
• Experience with code and functional coverage collection/analysis
• Experience with SystemVerilog and industry-standard frameworks such as UVM
• Experience with Python
• Comfortable in a Linux environment
• Familiarity with Verilator and/or Cocotb preferred
• C++ experience is a plus
• A bachelor’s degree in computer science, electrical engineering, or a related field

The estimated base salary range for this position is 175,000 to 250,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

At Hudson River Trading (HRT), C++ is at the center of our live trading systems and research infrastructure. Our C++ engineers build the highly performant, fault-tolerant systems that power trading across global markets. HRT’s distributed system is on the Pareto frontier of latency and throughput, giving you limitless opportunity to leverage your deep knowledge of C++, OS internals, CPU architecture, and networking hardware and protocols. You’ll work side-by-side with researchers, traders, and hardware specialists, implementing solutions where every microsecond matters.

Our bottom-up approach to projects and our highly collaborative environment empower talented engineers to make significant contributions and see their impact daily. At HRT, you'll be challenged to solve complex problems in a fast-paced, highly competitive industry, surrounded by some of the brightest minds in the field.

C++ Engineers at HRT work on a wide variety of projects. Examples include: 

• Develop and optimize infrastructure for market data, order entry and execution logic, spanning tens of asset classes including options, equities, futures, crypto, and fixed income. 
• Design fault-tolerant, low-latency systems for live trading, including encoding/prioritization of data over WAN links and recovery from hardware failures.
• Profile and improve performance-critical code for both throughput and latency in production environments.
• Build and maintain infrastructure that drives products including client-facing wholesale and SDP platforms, distributed network filesystems, and scalable research workflows.
• Write software that interfaces with specialized hardware such as FPGAs and ASICs used in trading systems.

Profile

• You’re one of the top devs in your current organization, as measured by productivity, technical capability, and helpfulness to other devs.
• You are capable of solving complex engineering problems independently and providing technical advice for others in areas of your expertise. 
• You can make progress on long-term architectural projects while troubleshooting smaller tasks and bug fixes with agility.
• You can describe software designs at a high level (the abstract interface), low level (step-by-step algorithm), or anywhere in between. 
• You are always looking for ways to make systems better.

Qualifications

• 1+ years of professional work experience 
• Bachelor's degree in Computer Science, Computer Engineering, or related field
• Superior design, debugging, and problem solving skills
• Advanced C++ experience is required, daily use preferred
• Knowledge of UNIX operating systems (we use Linux), system/processor performance, and network communication

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is seeking a Software Engineer focused on GPU reliability to join our Systems Development team. The Systems Development team builds and maintains the platform that is shared by all Systems teams to provision, monitor, and manage HRT’s server and network infrastructure. In this role, your main focus will be to develop tools in Python to analyze the performance of GPU hardware and build creative solutions to improve observability, reliability, and efficiency of the fleet. You’ll work closely with other engineering teams to deeply understand research and trading workflows and ensure that GPU infrastructure is utilized optimally. Strong Python skills and development experience are required, along with Unix experience and a background of managing GPU hardware at scale.

Responsibilities

This role offers a unique opportunity to make a significant impact on a critical part of our existing and growing infrastructure. Your responsibilities may vary day to day, but will include:

• Building and maintaining tools and software features to automate systems engineering workflows related to GPU management, monitoring, metrics collection, maintenance, and network configuration
• Troubleshooting software and hardware bugs on a fleet of GPU devices, including application, network, operating system, and/or kernel issues
• Working across HRT’s engineering teams to tune workloads and processes to use GPUs more efficiently 
• Analyzing GPU job statistics to identify trends and areas for improvement

Qualifications

Required:

• BS and/or MS in computer science or a related field
• 2+ years of relevant experience, including programming in Python and managing GPUs
• Experience using automation to solve problems and improve process efficiency
• Experience working with, troubleshooting, tuning, and deploying various types of GPU hardware
• Strong grasp of computer science fundamentals and software design patterns
• Solid understanding of Linux/UNIX operating systems 
• Familiarity with open-source software
• Ability to debug and analyze problems quickly
• Skilled at balancing multiple tasks while maintaining meticulous attention to detail
• Ability to operate effectively as a team player and also work independently 
• Ability to learn at a fast pace and apply new skills effectively

Preferred:

• Understanding of Debian operating system
• Familiarity with systems configuration management and monitoring technologies 
• Familiarity with continuous integration and continuous deployment tools and processes
• Understanding of networking protocols

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. 

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

Hudson River Trading (HRT) is seeking a Trading Systems Engineer to join our dynamic Systems team, which develops and maintains the fast, reliable infrastructure that powers our global trading. Our team is responsible for deploying and managing all servers in HRT’s trading environment, ensuring optimal performance and uptime.

This role will present opportunities to tackle diverse technical challenges that directly impact HRT’s live trading and research operations. Your day-to-day responsibilities may include installing and configuring hardware and software, remote administration, monitoring system performance, testing new hardware and software, and fine-tuning system performance. The ideal candidate is a dedicated and innovative technologist with a passion for learning and a drive to contribute to impactful projects in a fast-paced, collaborative environment. If you’re excited to work on cutting-edge systems that are critical to HRT’s success, we’d love to hear from you!

Responsibilities

• Write detailed documentation and instructions for server installation and patching
• Operating system installation and upgrading
• Script solutions to automate repetitive tasks
• Help evaluate demo systems from vendors
• Join an on-call rotation schedule to cover nights and weekend shifts, as needed
• Linux OS and application troubleshooting
• Performance testing and tuning
• Work with vendors to resolve issues
• Interface closely with data center techs to complete hardware installations
• Plan and execute technical projects to make our Linux trading systems (hardware, network, OS, etc.) faster, adaptable, and more maintainable
• Manage and optimize global trading infrastructure
• Automate and troubleshoot a broad range of technical infrastructure
• Work closely with our Trade Operations team to coordinate server maintenance activities
• Deploy, configure, and test internal and external applications
• Server hardware break/fix and troubleshooting
• Collaborate with our Network and data centre teams to plan deployments across data centres

Qualifications

• 2+ years of relevant experience in the following:
• Installation, configuration, and troubleshooting of Linux systems, especially Debian and its derivatives
• Using Linux/UNIX command line tools and configuration management tools
• Python or comparable programming experience focusing on automation and integration
• Shell (bash or comparable) scripting
• Supporting a live production environment (especially trading)
• Configuration management tools, particularly SaltStack but also Puppet, Ansible, Chef, or CFEngine
• Cloud experience in AWS or GCP is desirable but not required
• Strong attention to detail to manage and debug production services
• Exceptional written and verbal communication skills – this role will require cross-functional collaboration with various stakeholders across HRT
• Ability to manage projects efficiently