
Graphcore · Austin
ABOUT US Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure ...
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.
We are seeking a Senior Principal Network Engineer to help design, deploy, and optimize next‑generation AI data center networks.
AI training and inference workloads require extremely high bandwidth, deterministic low latency, and zero‑packet‑loss networking
environments.
In this role, you will partner closely with the Network Architecture Lead to design and scale high‑performance computing (HPC)
network fabrics supporting GPU clusters. You will work across hardware, networking, and AI application layers to ensure
Graphcore’s large‑scale AI infrastructure operates at peak performance.
The ideal candidate brings deep experience operating hyperscale or HPC data center networks and has expertise in high‑speed
Ethernet fabrics, RDMA technologies, advanced automation, and telemetry systems.
The Data Center Network Engineering team designs and operates the high‑performance network fabrics that power Graphcore’s AI
compute platforms. The team collaborates closely with hardware engineering, AI researchers, and infrastructure teams to build
scalable networking environments optimized for distributed training and inference workloads.
Engineers work on pioneering technologies including high‑speed Ethernet fabrics, lossless networking, RDMA transport, and
large‑scale automation frameworks to support next‑generation AI clusters.
large‑scale distributed AI workloads.
RDMA/RoCEv2 communication.
network remediation.
patterns.
front‑end networks.
high‑performance infrastructure.
discipline.
environments.
SONiC.
In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support
your health, wellbeing and financial future. Our benefits include medical, dental and vision coverage, Flexible Spending Accounts
(FSAs), Health Savings Accounts (HSAs), disability and life insurance, a 401(k) retirement plan, commuter benefits, wellness
services and an Employee Assistance Programme (EAP). 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.
Description Job Opportunity We are looking for a Principal Architect to lead architectural development for Ekahau while driving technical alignment and engineering standards across the broader Ookla team. You will define our multi-year technical roadmap, ensuring our systems are scalable, secure and future-proof. You will act as a key advisor to senior leadership and you will be bridging the gap between business strategy and technical execution. Ekahau is part of Ookla's connectivity intelligence portfolio, and this role spans architecture across three complementary product lines: Ekahau, the industry-standard toolkit network engineers use to design, survey, and troubleshoot enterprise Wi-Fi deployments; Speedtest Pulse, which delivers continuous, real-time network performance monitoring intelligence to ISPs and network operators; and Speedtest Certified, the independent certification program that benchmarks and validates network and device performance against Ookla's connectivity standards. Together, these products span desktop, mobile, and cloud, and process performance data at global scale, giving you the opportunity to shape architecture decisions that directly influence how networks and devices are designed, monitored, and certified worldwide. We are looking for world class talent and the applicants should have hands-on skills and attitude, a strong technical background in software and data architectures, and excellent communication skills. Key Responsibilities Defining and evolving Ekahau’s multi-year architectural roadmap, ensuring alignment with Ekahau’s business goals and long-term vision. Run architectural governance and reviews to ensure consistent technical standards across engineering teams. Architect complex, high-availability service and set company-wide standards for technical technical excellence and systemic reliability. Act as a bridge between engineering teams, product stakeholders. Elevate the technical bar by mentoring senior engineers and architects. Identify system-wide risks and establish proactive practices to prevent technical debt and systemic failures. Job Requirements We are looking for the right person, not the exact list of requirements. If you believe your experience has prepared you for similar challenges, we’d like to hear from you. Extensive experience in software development with a focus on architecting full-stack SaaS applications. Expert level fluency in modern backend and cross-platform technologies (Java, Kotlin, Typescript, Postgres) and AWS ecosystem Deep understanding of service-oriented and layered architectures and experience in evaluating and adopting new technologies based on business needs. A collaborative leader who is hand-on, gets things done and can communicate technical plans and trade-offs to both technical and non-technical stakeholders. Ability to balance immediate delivery needs with long-term architectural integrity. 10+ years of relevant software development experience. Background check is required About Ookla Ookla, an Accenture company, is a global leader in connectivity intelligence that brings together the trusted expertise of Speedtest®, Downdetector®, Ekahau®, and RootMetrics® to deliver unmatched network and connectivity insights. By combining multi-source data with industry-leading expertise, we transform network performance metrics into strategic, actionable insights. Our solutions empower service providers, enterprises, and governments with the critical data and insights needed to optimize networks, enhance digital experiences, and help close the digital divide. At the same time, we amplify the real-world experiences of individuals and businesses that rely on connectivity to work, learn, and communicate. From measuring and analyzing connectivity to driving industry innovation, Ookla helps the world stay connected. Our Benefits Ookla offers competitive salaries in addition to robust, health and wellness-focused benefits. We are committed to work-life balance with paid time off when you need it. At Ookla, we remain dedicated to creating an environment where everyone feels valued, respected, and empowered to succeed. We offer Employee Resource Groups, company-sponsored events, and regular opportunities for professional growth through educational support, mentorship programs, and career development resources. Our employees are recognized and celebrated through employee engagement programs and recognition awards. If you're seeking a dynamic and collaborative work environment where you can see the direct impact of your performance and thrive both personally and professionally, then Ookla is the place for you. Compensation Range Ookla provides a range for the base pay. Factors that may be used to determine your actual pay may include your specific job related knowledge, skills, experience, and geographic location. The salary compensation for this role is €90,000 - €100,000 Individual pay within the compensation range for this business unit specific role is determined based on a variety of factors including experience, scope of the role, capabilities to perform the role, education and training, as well as business and company performance. Ookla is an Equal Opportunity Employer. At Ookla, Diversity, Equity, and Inclusion (DEI) has always been about fairness, equal opportunity, and belonging. DEI enables us to attract and retain the best talent, regardless of background or circumstances, while enabling our thousands of employees worldwide to thrive .
TL;DR: We're seeking exceptional senior engineers and technical leaders for our Platform team, who own the infrastructure that powers Lovable's AI product and the developer experience that lets our engineering teams move at maximum velocity. Why Lovable? Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Lovable-built applications and websites are visited hundreds of millions of times a month, and our enterprise footprint is compounding fast. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity, and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we’re looking for * 10+ years in platform, infrastructure, or developer experience engineering, with a track record operating at senior engineering levels. * Deep experience building and operating in one or more of: production infrastructure, platform engineering, or developer experience (observability, CI/CD, application frameworks, productivity tooling). * Strong proficiency in at least one systems-oriented language (Go, Rust, C++, or similar), with a track record of designing high-throughput services at scale — and/or experience writing code and tools to support growing engineering orgs in scale-ups. * Solid working knowledge of Docker, Kubernetes, and modern infrastructure practices; ideally with understanding that goes deeper than configuration — how schedulers, runtimes, and isolation boundaries actually work * You ship high-leverage systems fast and know when to make trade-offs between security, stability, and speed. * You're comfortable navigating ambiguity and driving clarity at an organisational level, not just technically. * You're based in Stockholm or ready to relocate — this is an on-site, 5-days-a-week role. What you’ll do In one sentence: We build and own the systems and developer platform that make AI engineering work and keep our engineering teams the most productive in the world. * Design, build and maintain the core systems that enable our AI product, including a gVisor-based runtime for agentic workloads and a high-throughput sandbox scheduler across multiple cloud providers. * Bring order and structure to our codebase; integrate or build application frameworks to support a growing engineering organisation. * Own and develop our observability stack, from code instrumentation through ingestion to presentation. * Harden our infrastructure against failures, downtime, and slowdowns — ensuring it never becomes a bottleneck to growth. * Plan and implement our network infrastructure and cloud strategy. * Integrate tools for AI-driven development across the engineering org. * Identify and drive reliability improvement efforts across all engineering teams. Our tech stack We're building with tools that both humans and AI love. Lovable platform engineers are capable of working across the whole stack. Examples of tech in our stack include: * Frontend: React and Typescript. * Backend: Golang and Rust. * Cloud: Cloudflare, GCP, AWS. * Data: Clickhouse, Firestore, Spanner, BigQuery. * DevOps Tooling: CI/CD pipelines, OTEL, Grafana, kubernetes, terraform. * Local Tooling: Nix, DevEnv. And always on the lookout for what's next! About your application Please submit your application in English. It’s our company language, so you’ll be speaking lots of it if you join. We treat all candidates equally - if you’re interested, please apply through our careers portal.
ABOUT MOTORWAY Motorway is the UK’s fastest-growing used car marketplace - our online-only platform connects private car sellers with thousands of verified dealers nationwide, ensuring everyone gets the best deal. Founded in 2017, our award-winning, technology-led approach has redefined the experience of selling a car. Motorway is backed by some of the world’s leading technology investors, having raised £143 million in Series C funding. This is a unique opportunity to join a fast-growing scale-up at a crucial phase of growth and help change an industry for the better. ABOUT THE TEAM GenAI Engineering sits within Motorway's Data and AI function, alongside Machine Learning and the Machine Learning Data Platform. The team owns the GenAI features that shape how buyers and sellers experience the marketplace, spanning agentic workflows in the customer experience and LLM-powered tooling for our dealer network. Over the next two years the function scales from shipping AI features into running a serious GenAI platform. This hire is the technical authority who'll help shape that platform, working closely with engineering leadership across Data and AI and the wider Engineering org. ABOUT THE ROLE This is the most senior individual contributor role on Motorway's GenAI engineering ladder (IC5 / Principal). You'll report to the Director of Data and AI, advising the CPO and the wider exec on AI technical strategy. The remit is the trajectory of GenAI engineering at Motorway over a two-to-three-year horizon: the architecture, the standards and the strategic bets that no single team can absorb on its own. You'll set architectural direction across the GenAI surface area, hold sign-off on materially complex AI systems, and have the credibility to veto implementations that don't meet our agreed technical, safety or quality bar. You'll shape the high-stakes calls on vendor strategy, model selection, build-vs-buy on platform infrastructure, and our responsible-AI posture, providing the technical rationale that lets the Director of Data and AI and the wider exec land those calls with confidence. This is still a hands-on engineering role: you'll design and build the hardest single pieces of work directly, write production code on the systems that matter most, and pair with senior engineers on the architectural decisions that will outlast specific features. You won't own all AI usage at Motorway, you won't own overall AI strategy, and you won't hold budget for AI infrastructure, but you'll contribute meaningfully to all three, and you'll define how GenAI is built and evaluated here. This is a newly-created role and a greenfield opportunity. The technical bets you make will sit behind Motorway's most strategic AI initiatives, including ones not yet started. AI engineering choices at this level shape unit economics for years. IN THIS ROLE, YOU WILL: * Set the overarching architecture for GenAI at Motorway, including reusable patterns for prompt design, RAG (hybrid retrieval, chunking, semantic caching), agent orchestration, evaluation frameworks (LLM-as-judge, golden datasets, adversarial prompts), guardrails and observability that other teams build on * Design and build the hardest single pieces of work directly, taking on the problems nobody else is well-placed to solve and leading our highest-risk, highest-reward technical bets across the GenAI surface area * Hold sign-off on architectural decisions for materially complex GenAI systems, with the credibility to veto implementations that don't meet our agreed technical, safety or quality bar * Advise the Director of Data and AI on build-vs-buy calls for AI infrastructure (vector stores, eval platforms, AI gateways, model routers, agent frameworks), and own the technical rationale behind them * Drive cost, latency and throughput optimisation across our production GenAI systems, with the trade-offs documented and explicit * Define our principles for emerging paradigms, including multi-agent protocols, multimodal systems and agent-to-agent communication * Define our responsible AI principles and keep us aligned with the EU AI Act, NIST AI RMF and ICO guidance ahead of regulatory deadlines * Own opinionated relationships with our model and infrastructure providers, with the credibility to influence vendor roadmaps where it matters to us * Coach engineers across the function, shape how we hire and review, and set the cultural bar for safety, evaluation and production quality * Identify what Motorway should stop pursuing with the same clarity as what we should start, and represent Motorway externally through publications, conference talks and meaningful open-source contributions, used as a multiplier for hiring and partnerships ABOUT YOU * Typically 8+ years building production AI/ML systems, with at least 2 years at the cutting edge of GenAI, and a track record of company-scale technical bets that have materially shifted a business's trajectory * Strong engineering fundamentals and comfort working directly in code: Python and modern API-driven architectures on cloud infrastructure (AWS or equivalent), with the production engineering instincts (CI/CD, observability, SLOs, cost attribution) to take prototypes through to hardened production * Current, hands-on expertise across the GenAI stack: LLM APIs, prompt engineering, RAG (hybrid retrieval, chunking strategy, semantic caching, re-ranking), agentic architectures (multi-step, multi-agent, tool use, memory), evaluation frameworks, LLMOps and fine-tuning * Deep understanding of LLM capabilities and limitations, including how models fail in your domain, what hallucination and prompt injection look like in practice, and how to design evals that catch them * Experience setting architectural standards adopted across multiple engineering teams over multiple years * High-stakes build-vs-buy judgment, with a clear story of where you've been right and where you've been wrong * Strategic grasp of responsible AI and AI governance, with practical experience aligning engineering decisions to NIST AI RMF, the EU AI Act or comparable frameworks * Calm, direct communication with executive and board-level audiences, with the ability to compress technical complexity into the decisions leadership needs to make * Coaching credibility with senior engineers, who have grown materially under your influence * Self-awareness as a leadership trait; you know the limits of your knowledge and pull in outside expertise before that becomes a problem YOU COULD BE A GREAT FIT IF * You have an external technical presence (publications, well-known open-source contributions or conference talks) and use it as a multiplier for hiring and partnerships * You've led an organisation through a major AI paradigm shift in a previous role * You have working knowledge of the ML Engineering and platform layer (serving infrastructure, AI gateways, cost attribution, multi-model routing) that GenAI features run on top of * You've advised commercial leadership on vendor and partnership strategy, including contract and data-rights negotiation * You've worked in a regulated, safety-critical or trust-heavy domain where AI behaviour has material business or legal consequence WE OFFER A FANTASTIC RANGE OF BENEFITS TO HELP YOU THRIVE: * Great work-life balance * Office location with regular social events, office drinks and free snacks to keep you going * Flexibility to work from home up to 1 day per week to help nail that work-life balance * Stock options so you can share in Motorway's growth and future success * Pension scheme to plan for your future with our provider NEST * Strong commitment to your personal development including budget for books, courses, conferences, etc * Opt-in comprehensive health insurance through BUPA and fitness discounts * Cycle to work scheme - save big ££ on a new bike and accessories * One paid volunteering day a year for you to use as you wish * Generous parental benefits including 6 months full paid maternity leave, 4 weeks paternity leave and workplace nursery scheme... and much more!