Senior Software Engineer Production Engineering Jobs

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is seeking a Senior Automation Engineer, Vision to develop and standardize machine vision systems across manufacturing. You will develop proof-of-concept vision systems using industrial cameras, optics, lighting, profilometers, vision controllers, and edge compute, then translate successful concepts into standardized hardware and software architectures that can be deployed across production equipment. This is a highly hands-on engineering role. You will build vision systems in the lab and on manufacturing equipment, characterize imaging performance, develop acquisition and processing methods, define compute requirements, and establish the technical standards used by internal teams and external systems integrators. Key Responsibilities Develop Mach's standardized machine vision platform for automated manufacturing equipment. Design and build proof-of-concept vision systems using industrial cameras, lenses, lighting, filters, profilometers, depth cameras, and other optical sensors. Select and characterize cameras, optics, lighting, sensors, controllers, and acquisition hardware for manufacturing applications. Define edge compute requirements based on acquisition rates, processing workloads, latency, and machine cycle-time requireme

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is seeking a Senior Automation Engineer, Robotics to develop and deploy our industrial robotics platform across manufacturing. You will establish standardized architectures for industrial robots and collaborative robots, develop robotic automation for pilot production lines, and create the software, hardware, safety, and integration standards used to scale robotics across Mach factories. This is a hands-on engineering role. You will design robotic cells, program and commission robots, develop ROS 2-based robotics applications, integrate vision and end-of-arm tooling, and work directly with manufacturing engineers and systems integrators to take automation from concept through production. Key Responsibilities Develop Mach's standardized robotics platform for industrial robots and cobots. Define robot hardware, software, communication, safety, and integration standards for production equipment. Design, program, integrate, and commission robotic automation for pilot and production manufacturing systems. Develop reusable robotics software and architectures using ROS 2, finite state machines, behavior trees, and native industrial robot programming environments. Establish software engineering standards for robotics including CI/CD pipe

We're at a pivotal moment for both Tibber and the planet. When joining Tibber, you won’t just help scale a forward-thinking tech company – you’ll contribute to a real shift in how people consume electricity. With millions of smart devices connected to the Tibber platform (like electric vehicles and smart thermostats), we have one of the most unique energy trading portfolios on the market. We’re looking for a Senior Ai Platform Engineer to join us in making the energy transition happen – maybe that’s you? Job Mission 🚀 As a Senior AI Platform Engineer, you’ll join the Agentic Enablement side of our Platform team and help build the technical foundation for how Tibber adopts and scales agentic systems across engineering. Your focus will be on the architecture, workflows and trust infrastructure that allow AI agents to safely support software development - from writing and testing code to reviewing changes, triggering workflows and knowing when to involve a human. This is a platform role, which means the engineers building agents at Tibber are your users. Your success is measured by how quickly and confidently they can move from idea to production without needing you in the room. This role is for someone who enjoys building reliable systems, thinking deeply about architecture and helping teams adopt new ways of working with confidence. What you'll do ✅ Contribute to the design and architecture of Tibber’s agentic development platform, including orchestration layers, platform integrations, feedback loops and escalation paths, and the developer-facing CLI and onboarding experience. Take ownership of key platform components, from design and implementation to reliability and continuous improvement. Help define workflows, quality standards and ownership models for how agents can write, test, review and support code. Help shape safe and reliable agentic workflows, including human-in-the-loop boundaries. Build trust infrastructure that makes agentic systems observable, secure

Senior: GBP 73,500 - 99,500 Staff: GBP 97,300 - 131,700 Subject to alignment to the responsibilities and duties of the role - we currently have multiple positions available at both Senior and Staff level. About the job Build the Linux distribution foundation that turns upstream software into trusted Graphcore platform releases. You will help create the Linux distribution that powers Graphcore AI systems. The team produces production-ready system images from proven upstream distributions. Your work will shape how releases are built, validated and prepared for deployment. You will strengthen the engineering path from upstream Linux software to dependable platform releases. You will build and improve automated pipelines, run established Linux test suites, and diagnose issues across build and validation flows. As the platform evolves, you will introduce controlled configuration and tuning changes with evidence-led validation. This is hands-on systems engineering with visible impact. You will help define reliable processes for a new team building a critical part of Graphcore’s platform. The team and culture You will join one of Graphcore’s newest engineering teams, helping shape its culture from the start. It is a small, co-located team where ownership matters and progress is visible. Work happens through close technical discussion, practical problem-solving and evidence-led decisions. Ideas are challenged openly, and the best path wins regardless of hierarchy. You will report to a leader who values technical credibility and invests in people’s growth. The team moves with pace, takes responsibility and changes direction when the evidence demands it. What we're looking for Strong practical experience working in Linux environments Experience building or maintaining automated CI/CD pipelines for reliable engineering workflows Proficiency in Python, Bash or similar

Senior: GBP 73,500 - 99,500 Staff: GBP 97,300 - 131,700 Subject to alignment to the responsibilities and duties of the role - we currently have multiple positions available at both Senior and Staff level. About the job Build the Linux distribution foundation that turns upstream software into trusted Graphcore platform releases. You will help create the Linux distribution that powers Graphcore AI systems. The team produces production-ready system images from proven upstream distributions. Your work will shape how releases are built, validated and prepared for deployment. You will strengthen the engineering path from upstream Linux software to dependable platform releases. You will build and improve automated pipelines, run established Linux test suites, and diagnose issues across build and validation flows. As the platform evolves, you will introduce controlled configuration and tuning changes with evidence-led validation. This is hands-on systems engineering with visible impact. You will help define reliable processes for a new team building a critical part of Graphcore’s platform. The team and culture You will join one of Graphcore’s newest engineering teams, helping shape its culture from the start. It is a small, co-located team where ownership matters and progress is visible. Work happens through close technical discussion, practical problem-solving and evidence-led decisions. Ideas are challenged openly, and the best path wins regardless of hierarchy. You will report to a leader who values technical credibility and invests in people’s growth. The team moves with pace, takes responsibility and changes direction when the evidence demands it. What we're looking for Strong practical experience working in Linux environments Experience building or maintaining automated CI/CD pipelines for reliable engineering workflows Proficiency in Python, Bash or similar

Senior: GBP 73,500 - 99,500 Staff: GBP 97,300 - 131,700 Subject to alignment to the responsibilities and duties of the role - we currently have multiple positions available at both Senior and Staff level. About the job Build the Linux distribution foundation that turns upstream software into trusted Graphcore platform releases. You will help create the Linux distribution that powers Graphcore AI systems. The team produces production-ready system images from proven upstream distributions. Your work will shape how releases are built, validated and prepared for deployment. You will strengthen the engineering path from upstream Linux software to dependable platform releases. You will build and improve automated pipelines, run established Linux test suites, and diagnose issues across build and validation flows. As the platform evolves, you will introduce controlled configuration and tuning changes with evidence-led validation. This is hands-on systems engineering with visible impact. You will help define reliable processes for a new team building a critical part of Graphcore’s platform. The team and culture You will join one of Graphcore’s newest engineering teams, helping shape its culture from the start. It is a small, co-located team where ownership matters and progress is visible. Work happens through close technical discussion, practical problem-solving and evidence-led decisions. Ideas are challenged openly, and the best path wins regardless of hierarchy. You will report to a leader who values technical credibility and invests in people’s growth. The team moves with pace, takes responsibility and changes direction when the evidence demands it. What we're looking for Strong practical experience working in Linux environments Experience building or maintaining automated CI/CD pipelines for reliable engineering workflows Proficiency in Python, Bash or similar

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 the job Build the Linux distribution foundation that turns upstream software into trusted Graphcore platform releases. You will help create the Linux distribution that powers Graphcore AI systems. The team produces production-ready system images from proven upstream distributions. Your work will shape how releases are built, validated and prepared for deployment. You will strengthen the engineering path from upstream Linux software to dependable platform releases. You will build and improve automated pipelines, run established Linux test suites, and diagnose issues across build and validation flows. As the platform evolves, you will introduce controlled configuration and tuning changes with evidence-led validation. This is hands-on systems engineering with visible impact. You will help define reliable processes for a new team building a critical part of Graphcore’s platform. The team and culture You will join one of Graphcore’s newest engineering teams, helping shape its culture from the start. It is a small, co-located team where ownership matters and progress is visible. Work happens through close technical discussion, practical problem-solving and evidence-led decisions. Ideas are challenged openly, and the best path wins regardless of hierarchy. You will report to a leader who values technical credibility and invests in people’s growth. The team moves with pace, takes responsibility and changes direction when the evidence demands it. What we're looking for Strong practical experience working in Linux environments Experience building or maintaining automated CI/CD pipelines for reliable engineering workflows Proficiency in Python, Bash or simil

Senior AI Engineer Location: London (Hybrid) | Practice Area : Technology & Engineering | Type: Permanent Empower the next frontier of AI with Capco. Shape, build, and deliver future-ready generative systems. The Role We’re looking for a Senior AI Engineer (Senior/Principal Consultant) to join our Technology Delivery team. In this role, you’ll combine deep expertise in AI/ML engineering and software development to design, build, and deploy advanced generative AI and agentic systems for leading financial services clients. You’ll work hands-on across the full AI engineering lifecycle, from architecting intelligent multi-agent systems to deploying scalable production-grade AI applications within enterprise environments. As a senior consultant, you’ll also collaborate closely with multidisciplinary teams and client stakeholders to drive innovation, accelerate adoption, and deliver measurable business impact. What You’ll Do Architect and develop autonomous AI systems leveraging multi-modal large language models across text, image, audio, and video Design and implement agentic workflows using prompt engineering, Retrieval-Augmented Generation (RAG), APIs, and enterprise data integrations Fine-tune, optimize, and deploy large language and multi-modal models with a focus on scalability, reliability, and low-latency performance Build scalable MLOps pipelines and cloud-native AI applications to support secure, production-grade deployments Collaborate with clients and cross-functional teams to shape AI engineering strategy and accelerate GenAI adoption across complex environments What We’re Looking For Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Engineering, or a related STEM discipline Proven hands-on experience deploying LLMs and multi-modal AI models within enterprise or large-scale production environments Strong software engineering expertise in Python, including backend development, API design, and distributed systems Solid understan

About the Role Together AI is looking for a Senior Network Engineer to design, deploy, and operate the global network infrastructure supporting our production services and high-performance AI compute environments. This is a hands-on engineering role for someone with deep networking expertise who can also troubleshoot across Linux, Kubernetes, automation, and application boundaries. You will work on large-scale, multi-vendor data center networks and help ensure they remain highly available, reliable, scalable, and performant. The ideal candidate has strong networking fundamentals, experience operating complex networks at scale, and a structured, evidence-based approach to troubleshooting. You should be comfortable owning problems from initial investigation through root cause and resolution, including situations where the issue may extend beyond the network itself. Requirements 8+ years of professional experience designing, building, and supporting large-scale production data center, cloud, service-provider, or high-performance computing networks (excluding enterprise networks). Deep understanding of TCP/IP and strong experience with technologies such as BGP, OSPF, VXLAN, EVPN, ECMP, and QoS. Experience designing and supporting multi-tenant network environments using technologies such as VRFs, VLANs, overlays, and policy-based segmentation. Hands-on experience deploying and troubleshooting network platforms from vendors such as Arista, Cisco, Juniper, and NVIDIA. Strong troubleshooting skills using tools such as Wireshark, tcpdump, MTR, curl, nmap, and standard Linux networking utilities. Ability to diagnose connectivity, latency, packet-loss, routing, and performance issues across the network, host, and application layers. Experience developing or maintaining network automation using Python, Ansible, or similar tools. Experience working through a Git-based software development lifecycle, including branching, code review, validation, linting, testing, CI/CD, deploymen

About Appier Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of "Making AI Easy by Making Software Intelligent," Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com . About the role Engineers at Appier build a wide range of platforms and services that interconnect data and AI with our customers and users—operating at scale where every millisecond and every nine of availability matters. As a Senior Backend Engineer (SRE / Reliability & Performance) , you will sit at the intersection of backend development and site reliability engineering: designing and building scalable, performant backend services while owning the reliability, observability, and performance characteristics of large-scale, high-traffic systems (QPS > 10k). You will profile and tune systems end to end, lead the response to production incidents, and drive the engineering practices that keep our services fast and resilient as traffic grows. Seniority and title are determined by job-related skills, experience, and evaluation following the interview. We welcome international candidates to our teams. This position is ideally to be based in Taiwan. Responsibilities Design and build scalable, reliable, and maintainable backend services and the components that support them Own system reliability and performance for high-traffic services, including SLO/SLA definition, error budgets, and capacity planning Profile, benchmark, and tune critical components to resolve latency, throughput, and scalability bottlenecks in medium-to-large systems (QPS > 10k) Diagnose and sol

About Us: Samara Aerospace is revolutionizing satellite design by addressing the challenges of deploying and managing large satellite constellations. Our innovative Hummingbird spacecraft bus offers a modular and scalable platform that streamlines satellite production and deployment, significantly reducing launch costs. Hummingbird's compact architecture maximizes launch capacity, making it the most efficient and agile spacecraft in the industry. At the core of our technology is the patented Multifunctional Structures for Attitude Control (MSAC) system. Unlike traditional wheel-based pointing control systems, MSAC utilizes actuators embedded in the hinges of deployable solar panels to provide 3-axis attitude control and active jitter cancellation. This design eliminates the need for spinning wheels, reducing mass and potential points of failure, while enhancing pointing precision. Role: Samara Aerospace is seeking a Senior RF Engineer to join our growing engineering team. In this role, you will own the full lifecycle of RF systems development—from requirements definition and architectural trade studies through design, fabrication, test, and qualification. You will collaborate closely with electrical, mechanical, thermal, software, and systems engineering teams to develop high-performance RF solutions in a fast-paced, mission-driven environment. Responsibilities: Lead architectural R&D efforts for new RF communications and payload subsystems by conducting trade studies and establishing requirements Develop and maintain RF system models and simulations, perform end-to-end link budget analysis, noise and linearity cascades, and interference/co-existence assessments to validate system performance margins across operating conditions. Drive the full hardware development cycle from bench prototype through design validation and qualification testing. Defining test plans, executing characterization campaigns, and documenting results to demonstrate compliance with

About the Role Together AI is looking for a Senior Network Engineer to design, deploy, and operate the global network infrastructure supporting our production services and high-performance AI compute environments. This is a hands-on engineering role for someone with deep networking expertise who can also troubleshoot across Linux, Kubernetes, automation, and application boundaries. You will work on large-scale, multi-vendor data center networks and help ensure they remain highly available, reliable, scalable, and performant. The ideal candidate has strong networking fundamentals, experience operating complex networks at scale, and a structured, evidence-based approach to troubleshooting. You should be comfortable owning problems from initial investigation through root cause and resolution, including situations where the issue may extend beyond the network itself. Requirements 8+ years of professional experience designing, building, and supporting large-scale production data center, cloud, service-provider, or high-performance computing networks (excluding enterprise networks). Deep understanding of TCP/IP and strong experience with technologies such as BGP, OSPF, VXLAN, EVPN, ECMP, and QoS. Experience designing and supporting multi-tenant network environments using technologies such as VRFs, VLANs, overlays, and policy-based segmentation. Hands-on experience deploying and troubleshooting network platforms from vendors such as Arista, Cisco, Juniper, and NVIDIA. Strong troubleshooting skills using tools such as Wireshark, tcpdump, MTR, curl, nmap, and standard Linux networking utilities. Ability to diagnose connectivity, latency, packet-loss, routing, and performance issues across the network, host, and application layers. Experience developing or maintaining network automation using Python, Ansible, or similar tools. Experience working through a Git-based software development lifecycle, including branching, code review, validation, linting, testing, CI/CD, de

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Global Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. We're looking for a Senior Machine Learning Engineer to join our London office as part of a Global DoorDash Engineering team (working hybrid, 3 days in the office). This role sits in our Consumer Org, where you'll work on recommendation problems with direct, measurable impact on how customers discover relevant content. You’ll collaborate with experienced scientists and engineers across DoorDash, Deliveroo and Wolt, learning from multiple recommendation systems while helping shape the next generation of the experience. What You'll Be Doing Design, develop and improve recommendation, ranking and retrieval models that surface relevant restaurants, dishes, items and content to customers. Own applied ML problems end to end: frame the problem, analyze data, develop models, define offline evaluation, run experiments and monitor production performance. Develop methods that balance relevance with product and customer needs, such as diversity, availability, business constraints and changing user intent. Collaborate closely with Software Engineers, ML Engineers, Product Managers and Analysts to turn scientific insights into reliable customer-facing products. Evaluate and apply state-of-the-art ML methods where they meaningfully improve recommendation quality, robustness or efficiency. Contribute to a high bar for applied-science practice through technical reviews, k

At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the Role Anyscale's need to detect and respond to security events across its production and corporate environments is growing as the company scales. We're looking for a Senior Detection and Response Engineer to own detection engineering and to lead incident response when it counts, coordinating the response and driving it to resolution. This is a high-ownership role with real room to shape how detection and response works at Anyscale. You will own the detection pipeline, the response runbooks, and incident response, reporting to the Head of Security and partnering with engineering. This role is based in India. In your first year, success looks like strong detection coverage across our cloud, endpoint, and runtime telemetry, a working correlation and alerting pipeline, and incident response runbooks that have been exercised in practice. What You'll Do Own and build detection coverage across cloud, endpoint, and runtime telemetry. Own a centralized correlation and alerting capability that turns telemetry into actionable detections. Own incident response: runbooks, escalation paths, and coordination during an incident, across corporate and production environments. Drive detection of anomalous activity across the environments