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Hardware Design Engineer - 3 positions available 12 months Full time on site - ME1 (Rochester, Kent) £80 per hour (inside IR35) - This is negotiable Join our client and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow, shaping a safer future, for all of us. This role focuses on delivering complex hardware design activities in line with development plans, budgets and schedules. It includes capturing requirements, producing preliminary and detailed designs, and performing the necessary analysis to ensure robust solutions. The position encourages innovation by identifying improvements to both design approaches and wider engineering practices, while working collaboratively with other disciplines to optimise system level outcomes and manage dependencies effectively. Alongside technical delivery, the role provides guidance and support across digital and analogue electronics development, helping ensure high quality engineering outputs. It also involves coaching junior engineers to build capability within the team and producing design artefacts that meet company and industry standards. • Working with other disciplines within an integrated team to optimise solutions and minimise impacts from dependencies, • Providing technical guidance and support to the development and delivery of all aspects of digital &/or analogue electronics solutions, • Coaching & developing the skills of junior team members, • Requirements management and verification skills, • Circuit analysis , FMEA and Stress and derating Knowledge: • You will have proven knowledge and experience of digital &/or analogue electronics technologies, • You will have experience of working through the engineering development lifecycle, from concept to product certification, • You will have a robust understanding of product design and work package control, • Ability to demonstrate a good appreciation of cost and schedule constraints on designs, to meet programme needs, • Familiarity with Mentor Graphics Expedition Enterprise, Simetrix, LT Spice tools Skills: • You will have the ability to demonstrate a good appreciation of cost and schedule constraints on designs, to meet programme needs and capable of providing robust engineering judgement in all phases of the engineering development lifecycle, • It is also desirable to have experience of Mentor Graphics Expedition Enterprise, Analogue simulations tools, such as Simetrix or Spice and System development tools, such as Enterprise Architect, Matlab, Simulink JBRP1_UKTJ

Darktrace is a global leader in AI-driven cybersecurity, helping organizations stay ahead of evolving threats every day. Darktrace was built on a genuinely differentiated idea: that Adaptive AI could detect and respond to novel, real-time cyber threats. That approach matters more than ever in the era of AI. Today, our customers depend on us to stay ahead. At Darktrace, we are energized by that responsibility. We work across teams and rally around a shared goal. We own outcomes end to end - step in, step up and see things through without waiting to be asked. We make decisions with urgency, say the hard thing, and hold each other to high standards with care and directness. We move first and learn fast anticipating where our customers are going next, continuously challenging ourselves. We invest in the skills, learning and opportunities that help people deliver at the level their roles demand, and reward the aptitude and curiosity to grow beyond them. Our Values: Own It | Win as One | Raise Our Bar | Move First. Learn Fast Job Description:Department: Product Reports to: Chief Product Officer (CPO) Location: Cambridge, London or East Coast US (minimum 2 days per week in office) Type: Full-time Key partnerships: Product and Engineering· Business partner in Financial Planning & Analytics (FP&A) · Business partner in IT · Business partner in Product Marketing About the Role We are seeking a strategic and analytically rigorous VP of Pricing & Packaging to own the end-to-end monetization strategy for our B2B SaaS business. Reporting to the Chief Product Officer, this leader will architect how we package, price, and capture value across our product portfolio — directly influencing revenue growth, gross margin, competitive positioning, and customer lifetime value. This is a highly cross-functional leadership role. Rather than owning a large direct team, the VP operates through a partnership model — working closely with a dedicated business partner in Financial Planning & Analytics, a dedicated business partner in IT, and a dedicated business partner in Product Marketing to turn monetization strategy into operational reality. The role also leads a cross-functional Pricing Steering Group that drives alignment and decision-making across the business, and maintains a sharp, continuous view of competitor pricing and packaging moves to keep the company ahead of the market. Key Responsibilities Pricing Strategy & Monetization Define and own the company's overarching pricing philosophy, strategy, and roadmap across all products and segments. Design and evolve pricing models (tiered, consumption, outcome-based, hybrid) aligned to value delivered and customer willingness to pay. Establish pricing governance, approval frameworks, and discounting guardrails to appropriately protect margin and deal integrity. Partner with the Chief Accounting Officer/Deal Desk function to ensure discounting guardrails are enforced consistently at the point of deal execution.Direct & Channel-Partner Pricing Understand and account for the similarities and differences between direct and channel-partner pricing and operations, designing strategies that work across both routes to market. Ensure pricing, packaging, and discounting structures are coherent and appropriately margin-protective across direct sales and channel/partner motions. Implement models for Hyperscalers and Marketplaces to promote and optimize online through sales operational models Packaging & Product Monetization Architect product packaging, bundling, and tiering strategies that maximize adoption, expansion, and net revenue retention. Partner closely with the CPO and Product organization to align feature-to-tier mapping, entitlements, and add-on/upsell structures with the monetization strategy. Lead the monetization strategy for new product launches, features, and market entries sequenced once core pricing/packaging governance and margin-tracking discipline are established.Maintain awareness of relevant market and competitive dynamics to inform packaging and positioning Own SKU and pricelist creation, setting policy and controls for use, distribution, and management, Introduce and build Product Led Growth strategies In the first two quarters, lead the completion and margin-validation of the legacy-SKU-to-package migration, including grandfathering policy and renewal-cycle price bridging.Pricing Steering Group Leadership Establish, chair, and run a cross-functional Pricing Steering Group spanning Product, Sales, Finance, Marketing, and Customer Success. Set the steering group's charter, cadence, and decision rights; bring pricing and packaging proposals forward with a clear evidence base for endorsement. Drive alignment, resolve trade-offs, and secure buy-in for pricing and packaging changes across the leadership team. Maintain a transparent decision log and ensure decisions are operationalized and tracked to impact. Working Through Key Business Partners & GTM Leadership Partner with the FP&A business partner on revenue modeling, margin analysis, price elasticity, willingness-to-pay quantification, and the financial impact of pricing decisions and forecasts. Partner with the IT business partner to operationalize pricing and packaging across billing, CPQ/quoting, Salesforce, entitlements, metering, and systems infrastructure. Partner with the Product Marketing business partner on competitive intelligence, value messaging, and packaging communication. Partner with Engineering to understand the impact of cost of goods sold (COGS) on margins, and to factor infrastructure and delivery costs into pricing decisions. Partner with the Chief Revenue Officer and team to inform quotas, ensuring pricing and packaging decisions align with sales targets, incentives, and quota-setting. Set shared objectives and ways of working with each business partner to ensure strategy translates into reliable execution. Analytics, Research & Value Quantification Build a rigorous discipline around willingness-to-pay research, price elasticity analysis, and value-based pricing (in partnership with FP&A). Define pricing KPIs and dashboards (ARPU, ACV, win rates, discount leakage, expansion revenue, NRR impact). Ground all major pricing decisions in data, research, and market evidence. Qualifications Required 8+ years expertise across SaaS monetization models (subscription, usage/consumption-based, tiered, seat-based, hybrid) and implementing product led growth. 3+ years leading pricing strategy, with strong command of pricing analytics, price elasticity, willingness-to-pay research, and value-based pricing. Experience with CPQ, billing systems, entitlement management.Excellent quantitative, analytical, and financial modeling capabilities. Cyber security industry experience. Win as One – Proven track record of building cross-functional relationships and prioritising collective over individual outcomes Move First – Demonstrated bias for action in ambiguous, fast-moving environments Raise our bar – History of setting and elevating standards of excellence, holding self and others to high expectations while continuously improving processes, quality, and outcomes. Own it – Takes end-to-end accountability for outcomes – good and bad – making decisions with judgement and following through on commitments Proven track record owning pricing and packaging strategy in a B2B SaaS environment at scale. Strong understanding of both direct and channel-partner pricing and operations, including the similarities, differences, and trade-offs between them. Demonstrated success leading through influence — driving outcomes via cross-functional partners rather than a large direct team. Experience establishing and chairing steering groups or governance forums. Strong track record of competitive intelligence — tracking and responding to competitor pricing and packaging strategy. Preferred Experience partnering closely with FP&A, IT/systems, and Product Marketing functions to operationalize pricing. Familiarity with usage-based / consumption pricing and metering infrastructure. Experience in a high-growth or PE/VC-backed environment. Key Competencies Influence and alignment across senior stakeholders — leads through partnership, not headcount Strategic monetization thinking balanced with operational execution Fluency across both direct and channel-partner routes to market Strong governance and facilitation skills (steering group leadership) Externally aware — continuously scanning the competitive landscape Data-driven decision-making and analytical rigor Comfort with ambiguity in a fast-moving market Demonstrated track record of applying AI to accelerate and scale impact across these key competencies Benefits:23 days’ holiday + all public holidays, rising to 25 days after 2 years of service,Additional day off for your birthday,Private medical insurance which covers you, your cohabiting partner and children,Life insurance of 4 times your base salary,Salary sacrifice pension scheme,Enhanced family leave,Confidential Employee Assistance Program,Cycle to work scheme. As a growing business strengthening its governance and controls, this role plays a part in supporting high standards of integrity and accountability. Darktrace is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, veteran or military status, or any other characteristic protected by applicable federal, state, or local law.Darktrace is committed to providing reasonable accommodations to qualified individuals with disabilities in accordance with applicable laws. If you require a reasonable accommodation to participate in the application or interview process, please contact your Talent Partner.SummaryLocation: Cambridge Office, United Kingdom; London Office, United Kingdom; New York Office; Charlotte Office; Boston Office, United States; Miami Office; Arlington OfficeType: Full time

At Entrust, we’re shaping the future of identity centric security solutions. From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep the world moving safely. Headquartered in Minnesota, Entrust is an industry leader in identity-centric security solutions, serving over 150 countries with cutting-edge, scalable technologies. But our secret weapon? Our people. It’s the curiosity, dedication, and innovation that drive our success and help us anticipate the future. We are seeking an experienced and passionate Cloud Engineer to join our team and manage our AWS cloud infrastructure. You will be responsible for designing, implementing, and maintaining a robust and scalable infrastructure to support our microservices-based applications. This role requires a deep understanding of AWS services (AWS EKS), containerization, Kubernetes, and Infrastructure as Code (IaC). • 8+ years of experience in IT infrastructure or a related field with at least 3+ years of experience in AWS cloud environments., • Deep understanding of Kubernetes architecture, concepts, and resource management w.r.t AWS EKS clusters, • Strong understanding of AWS core services like EC2, VPC, S3, IAM, CloudWatch., • Strong Knowledge in configuring and maintaining SPLUNK and datadog., • Extensive experience with Infrastructure as Code (IaC) using Terraform or OpenTofu., • Hands-on experience with managing and operating EKS clusters environments., • Experience with service mesh technologies like ISTIO and its integration with Kubernetes., • Solid understanding of CI/CD principles and experience with Jenkins or similar tools., • Strong scripting skills (Bash, Python) for automation and troubleshooting., • Excellent communication and collaboration skills., • Experience in implementing day-2 (upgrades, backup & restore, cost optimization etc.), • Knowledge of container security best practices and tools., • Knowledge of creating Helm charts., • Familiarity with monitoring and logging tools using Open Telemetry Tools, • Experience with disaster recovery and business continuity planning for cloud environments., • AWS certifications (e.g., Solutions Architect, Sysops Administrator, AWS Security or Devops DevOps Engineer) are a plus. Here is what you can expect when you join our team: • Career Growth: Whether you’re a budding developer or a seasoned expert, we’re invested in your professional journey. With learning-forward initiatives and exciting challenges, your growth is our priority., • Flexibility: Life is all about balance. Whether you’re remote, hybrid, or on-site, we offer flexible options that fit your lifestyle., • Collaboration: Here, your voice matters. Our teams thrive on sharing ideas, brainstorming solutions, and working together to build a better tomorrow. We believe in securing identities-but it doesn’t stop there. At Entrust, we’re passionate about valuing all identities. Our culture is built on diversity, inclusion, and respect. From unconscious bias training for our leaders to global affinity groups that connect colleagues across the globe, we’re creating a community where everyone is encouraged to be themselves. If you’re excited by the prospect of innovating, growing your career, and collaborating in a dynamic environment, Entrust is the place for you. Join us in making a difference. Let’s build a more secure world-together. Entrust values diversity and inclusion and we are committed to building a diverse workforce with wide perspectives and innovative ideas. We welcome applications from qualified individuals of all backgrounds, and we strive to provide an accessible experience for candidates of all abilities. If you require an accommodation, contact . #J-18808-Ljbffr

This is a hands‑on role for an exceptional technologist with deep AI expertise, a strong passion for AI, and validated software and applied AI engineering skills, translating emerging capabilities and research into scalable, production‑ready AI solutions for Arm. Working across AI Enablement, Delivery, Data, Architecture, Engineering, IT, Compliance, Security, and business teams, this role will shape Arm’s AI roadmap, lead experimentation and incubation, and turn ideas into reusable patterns, internal products, and measurable business outcomes. It will primarily support the core AI roadmap and key transformation initiatives across Arm. • Bring deep expertise across AI, ML, GenAI, LLMs, RAG, agentic systems, and applied AI engineering to help shape practical, reusable AI capabilities at Arm., • Define and embed AI engineering standards for evaluation, observability, testing, governance, and operational readiness so solutions are reliable, secure, and ready for use., • Apply strong software engineering practices to architect, build, deploy, and scale end-to-end products, APIs, services, internal tools, and enterprise applications., • Design, build, test, and scale AI concepts, internal products, mini apps, and reusable enterprise solutions across AI workflows, API and MCP style integrations, AI coding assistants, and agentic use cases., • Contribute to Arm’s emerging technical AI roadmap by assessing models, frameworks, whitepapers, open-source projects, and ecosystem shifts, including areas beyond standard enterprise AI., • Lead AI experimentation and incubation, testing new ideas and turning the most promising into proofs of value, MVPs, and production solutions with clear business outcomes., • Create and evolve reusable patterns, frameworks, and guardrails, working with teams across Arm to enable responsible innovation across Arm’s engineering communities., • Identify and reduce risks such as hallucination, prompt injection, data leakage, bias, and unsafe tool use., • Collaborate closely with Engineering IT to develop agentic and AI solutions that improve the engineering experience and developer productivity., • Deep hands on expertise across AI, ML, GenAI, LLMs, RAG, reinforcement learning, agentic and multi-agent systems, and applied AI engineering., • Strong software and backend engineering capability, with experience architecting, building, testing, deploying, and scaling AI‑enabled products, APIs, services, microservices, and enterprise solutions, grounded in solid system design, integration, data, CI/CD, observability, security, and cloud‑native practices., • Strong Python skills and experience with frameworks such as PyTorch, TensorFlow, scikit-learn, LangChain, LangGraph, or similar., • Experience with LLM and agentic patterns, including retrieval, orchestration, tool use, evaluation, guardrails, and governed production deployment., • Solid understanding of AI architecture, cloud platforms, APIs, model‑agnostic design, reusable frameworks, and scalable AI engineering practices., • Demonstrated ability to turn emerging research, whitepapers, open‑source developments, and new tools into practical, high‑value solutions, moving from concept to MVP and production while balancing speed, engineering quality, and business impact., • Solid grasp of responsible AI, privacy, governance, model security, risk management, vector databases, retrieval systems, and observability/evals., • Effectively engaged in applied AI research, emerging technologies and open source ecosystems. Familiarity with robotics, edge AI applications beyond typical enterprise use cases., • Knowledgeable in AI for sustainability, including energy-efficient architectures and green compute! Joining Arm means being part of a world‑class team that is high‑reaching and determined to achieve outstanding results. You will collaborate with industry leaders and innovators, contributing to flawless service builds that improve our global operations. We provide an encouraging and inclusive environment that encourages continuous learning and professional growth. Your success is our success, and together we can build services that compete on the world stage! #LI-BG1 At Arm, we believe progress happens when people are empowered to think bigger and push beyond what seems possible. Our 10x mindset is about curiosity, ambition and creating impact that will be used by millions. We learn fast, prioritise collaboration and turn bold ideas into real technology. We look for people who are inspired by this way of working and want to grow in an environment where bold ideas are welcomed. Discover how the 10x mindset shapes life at Arm: 10x-mindset At Arm, we embrace the benefits AI can bring, including in recruitment. You may use AI to support your preparation, such as improving the clarity of written responses, practicing interview questions, or learning more about our industry. However, your application and interview responses must reflect your own thinking, experience, and abilities. We want to understand your authentic perspective, creativity, and approach to problem solving. As such, you may not use AI to complete assigned tasks as part of any assessments. If you plan to use AI‑supported or assistive technologies as part of a reasonable adjustment, please contact so we can support you. At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #J-18808-Ljbffr

Redgate Software creates ingeniously simple software that helps data professionals get the most value out of any database. Our solutions address complex database management challenges across the DevOps lifecycle, making life easier for IT leaders, development, and operations teams by increasing efficiency, reducing errors, and protecting business‑critical data. The data community trusts Redgate to balance speed to market, team collaboration, and data protection. As a Product Security Engineer, you will embed security into the software development lifecycle across multiple product teams. You’ll help teams build, ship, and operate secure software by defining requirements, improving detection and prevention (SAST/DAST), assisting teams with application security governance, and running threat modelling. • Partner with engineering and product teams to define and operationalise security requirements across the SDLC (from design to release)., • Audit application code for weaknesses and vulnerabilities., • Own or co‑own application security governance practices: secure‑by‑default standards, patterns, guardrails, and exceptions/risk acceptance., • Drive SAST/DAST adoption and quality: tool tuning, triage workflows, severity calibration, and ‘fix-forward’ enablement., • Support adoption of threat modelling for new features, architectural changes, and high‑risk services—turning findings into actionable engineering work., • Provide product security guidance for cloud‑native environments (AWS + containerised workloads), with an emphasis on secure service design and deployment practices., • Build strong relationships with product teams through clear communication, coaching, and security enablement., • Review and assist in the development of engineering policies aligned with security best practices., • Contribute secure shared libraries/paved‑road components or perform targeted security testing/pentesting to validate controls., • Work with product teams to support implementation of AI, including LLMs, SLMs, and MCP., • Hands‑on product/application security experience supporting engineering teams in a modern SDLC (requirements, design review, secure coding guidance, release support)., • Strong knowledge of the OWASP Top 10 and practical mitigation patterns; familiarity with OWASP ASVS is a plus., • Experience implementing or improving SAST/DAST processes: tool selection/tuning, signal‑to‑noise reduction, and scalable remediation workflows., • Working understanding of cloud and container security fundamentals in an environment using AWS and Docker (and related CI/CD practices)., • Comfort working across a primarily C# ecosystem (with some Java/Python), including the ability to review code and explain security issues clearly to developers., • Ability to translate security risk into actionable engineering priorities—balancing risk, delivery timelines, and operational realities., • You’re pragmatic: you care about real risk reduction, not checkbox compliance or perfect theoretical security., • You communicate clearly and respectfully, able to influence without authority and build trust across multiple product teams., • You’re structured and evidence‑driven: you document decisions, measure outcomes, and iterate based on what’s working., • You’re comfortable in ambiguity and can shape an approach when requirements, tooling, or ownership aren’t fully defined yet., • £60,000 to £75,000 subject to experience, • C# / .NET (primary engineering ecosystem), React, • Java (J2EE), TypeScript, and Python, • AWS (cloud infrastructure and services), Docker (containerised workloads), • SAST/DAST tooling (specific products may vary; you’ll help tune and operationalise them), • Onboard into Redgate’s products, SDLC, and delivery rhythms (how work moves from idea → code → deploy)., • Get access to core systems and security tooling; understand what’s in place today (SAST/DAST coverage, alert volumes, current processes)., • Shadow the Product Security Architect and sit in on a handful of ceremonies (planning/refinement/retro) to understand team dynamics and where security naturally fits., • Triage a small set of findings with guidance (e.g., top recurring SAST issues), focusing on learning severity expectations and remediation patterns., • Start building a knowledge base: common app patterns, approved controls, ‘how we do security here,’ and where to find the right people., • Begin owning a defined slice of AppSec work with supervision (e.g., one product area or a specific SDLC initiative like SAST tuning or DAST onboarding)., • Build working relationships with a small set of partner teams and establish a predictable engagement model (intake path, review checklist)., • Start contributing to security reviews for new features or higher‑risk changes—initially as a second set of eyes, then independently for scoped areas., • Help improve signal‑to‑noise in SAST/DAST: tune rules, reduce duplicates, and document triage guidance that developers can follow., • Support lightweight threat modelling sessions alongside the Architect (prep, note‑taking, translating outcomes into engineering actions)., • Independently handle routine AppSec support for agreed scope (e.g., first‑pass triage, basic secure design guidance, follow‑ups with teams), escalating appropriately., • Deliver tangible process improvements that reduce friction (e.g., clearer severity rubric, a repeatable intake template, a 'common findings' fix guide)., • Demonstrate steady throughput on findings: consistent triage quality, meaningful developer support, and reduced turnaround time for the scoped area., • Contribute to a secure‑by‑default library/SDK. At Redgate, we believe supporting and empowering our people is key to our success. We create an environment where you can thrive in your career and enjoy every moment of your journey with us. Benefits include competitive salary, comprehensive health coverage, monthly wellbeing allowance, flexible working arrangements, generous paid time off, employee assistance program, community and social events. Redgate has adopted a flexible‑hybrid model. This means that people will work flexibly with a blend of remote (home) and co‑located (office) work, with teams having the flexibility to decide which location best suits the outcomes they need to deliver. • Recruitment & retention: hiring and retaining diverse talent., • Authenticity & belonging: promoting inclusive language and behaviours., • Growth: supporting personal and professional development. Redgate is an equal opportunity employer, welcoming applications from all backgrounds. If you need accommodation, please let us know via our application process or email . Learn more about our commitment to diversity on our diversity page. While we outline the qualities we typically seek, we recognise that you may possess additional attributes and skills that could make you an excellent fit for our team. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #J-18808-Ljbffr

Lanpro is a market leading multi-disciplinary consultancy who specialise in Environment led Planning and Design. We work on projects at all scales within town, semi-rural and rural contexts, across a variety of sectors that includes residential, historic sites and estates, renewable energy, infrastructure and mixed-use commercial developments. Lanpro is a fast growing, unique and rewarding environment. Through its agile team and comprehensive service, it has allowed growth nationwide. Our Group now has access to offices in Norwich, London, Cambridge, Manchester, Edinburgh, York, Bath, Glasgow, Milton Keynes, Birmingham, Cardiff, Exeter and Chelmsford. Our multidisciplinaryservicespans across multiple disciplines. Our Group offerings now include Planning, Environmental Impact Assessment (EIA), Ecology, Geographical Information Systems (GIS), Landscape Architecture, Architecture & Design, Arboriculture, Visualisation, Historic Environment, Acoustics, Air Quality, Civil Engineering, Geo-environmental, MEP Building Services, Structures, Sustainability, Transport & Highways, Utilities, Water & Flood Risk. We thrive on creating a culture and environment which provides a great variety of projects, recognition of success, continuous professional development and collaboration across an array of different professions. To find out more about our culture, please click here. We are proud that together, our teams are supporting delivery of some of the largest solar and battery storage schemes in the United Kingdom and Europe. We have a strong pipeline of opportunities across the energy, residential and infrastructure sectors. We offer an environment that is diverse, entrepreneurial and encourages innovation and your professional development. As an Equal Opportunity Employer, we believe in each person’s potential, and we’ll help you reach yours. We are seeking an experienced Associate Landscape Architect to lead the delivery of landscape architecture projects and support the development of the wider Landscape Architecture team. The role will combine technical delivery, project management, client liaison and team development, with opportunities to contribute to business development and multidisciplinary projects. The successful candidate will have a strong technical understanding of landscape architecture and the ability to take responsibility for project delivery, while supporting and mentoring more junior colleagues. If successful, you will: • Lead the delivery of landscape architecture projects and specific project workstreams, ensuring agreed quality, programme and budget requirements are met., • Prepare and oversee the preparation of landscape designs, technical drawings, visualisations, reports, landscape strategies and supporting planning documents., • Develop design proposals from site analysis and concept through to planning and detailed design stages as appropriate., • Provide technical review and quality assurance of work prepared by junior colleagues., • Manage project tasks, programmes, resources and budgets under appropriate direction., • Liaise with clients, consultants, contractors and stakeholders., • Attend site visits, meetings, workshops and consultation events., • Work collaboratively with multidisciplinary teams and external consultants., • Support the preparation of fee proposals and tender submissions., • Identify opportunities for additional work and contribute to business development activities., • Support, mentor and develop Landscape Architects and more junior team members., • Ensure work is delivered to agreed deadlines and quality standards., • Ensure compliance with Lanpro procedures, quality standards and health and safety requirements., • Landscape Institute accredited degree and/or postgraduate qualification in Landscape Architecture., • Chartered Member of the Landscape Institute (CMLI), or actively working towards chartership., • Relevant experience within a landscape architecture consultancy., • Strong experience producing landscape designs, technical drawing produciton and supporting documentation., • Experience of project management, including financial control, reporting and programme management., • Experience of working across and delivery of projects at all RIBA Work Stages., • Good understanding of landscape planning, design principles and construction techniques., • Experience working within multidisciplinary design teams., • Strong design, graphic and presentation skills., • Strong written and verbal communication skills., • Good organisational skills and attention to detail., • Proficient in Microsoft Office Suite, AutoCAD or similar CAD software, Keyscape or similar planting software and Adobe Creative Suite., • Fluency in English and ability to communicate effectively., • Full UK driving licence., • Knowledge and understanding of the UK legal and planning system with respect to landscape architecture., • Experience of LVIA, TVIA or other landscape assessment methodologies., • Experience in working in collaborative design studios and workshops., • Experience of mentoring or supervising junior team members., • Experience of working on major infrastructure, residential, commercial or public realm projects. Day One • Enhanced Annual Leave entitlement, • Death in service cover, • Centrally based City offices, • Hybrid working environment (flexible work), • Protected CPD (Department, individual and companywide), • Professional Body membership contribution, • Enhanced Company pension, • Career progression framework and development, including two defined promotion windows annually., • E Learning portal access, • Non contractual growth bonus scheme After Probation and Beyond • Loyalty Leave (Continuous Service Accrued Annual Leave up to 5 days), • Vitality Health Care - Private Medical Insurance, • Discounted Gym membership, • Discounts and perks- Amazon prime, Free Odeon Cinema tickets, Apple benefits and Café Nero, • Employee Assistance Program - including Financial and Mental Health support from external expertise., • BUPA Cash Plan, • Employee Assistance Program - including Financial and Mental Health support from external expertise., • Cycle to work scheme #J-18808-Ljbffr

Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow. You have spent years at the intersection of engineering data and real product development, and you have learned that the hardest part of digital transformation is not implementing the software, it is getting organizations to actually trust and use the data. You understand that materials information is not just metadata, it is the foundation of every simulation, qualification decision, and design trade off that matters. You are comfortable walking into a room with a manufacturing engineer, a simulation lead, and an IT architect and finding the common thread that makes a materials data strategy work across all three. You do not need a perfect requirements document to get started. You ask the right questions, map the data flows, and build solutions that scale beyond the pilot project. You have seen what happens when materials data lives in spreadsheets, emails, and tribal knowledge, and you know how to fix it. At Synopsys, you will work with organizations that are ready to modernize how they manage one of their most critical engineering assets, and what you build will directly affect how fast they can innovate. • Partner with sales teams during the technical sales cycle, delivering demonstrations, proof-of-concept work, and technical presentations that show how Material Information Management solves real customer problems, • Act as the senior technical advisor and primary contact for customers implementing materials data management platforms, guiding them through integration with PLM, CAE, and enterprise systems, • Lead workshops and technical sessions with engineering, IT, and product development teams to map materials data workflows, identify gaps, and design scalable solutions, • Translate complex data governance and integration challenges into clear, actionable recommendations for both hands-on engineers and senior leadership, • Serve as the subject-matter expert for Material Information Management within customer engagements and internal initiatives, shaping how the technology is positioned and deployed, • Collaborate with product management and development teams to influence roadmap priorities, interoperability features, and usability improvements based on field feedback, • Mentor application engineers and contribute to internal best practices, knowledge-sharing sessions, and continuous improvement across the team, • Enable customers to standardize and scale materials data management across global engineering organizations, eliminating silos and reducing duplication, • Reduce engineering risk by improving data quality, traceability, and accessibility, so teams can make faster, more confident decisions, • Accelerate innovation by connecting materials data to simulation, qualification, and design workflows, shortening time from concept to production, • Position materials information as a strategic enabler of digital engineering transformation, not just a compliance checkbox, • Strengthen long-term customer relationships through trust, credibility, and measurable technical outcomes that prove ROI, • Shape the evolution of materials data management best practices within Synopsys and across the industry, • 5+ years of experience in engineering, engineering software, technical consulting, or customer-facing technical roles, • Strong understanding of product development processes and how engineering data flows across the lifecycle, from concept through manufacturing, • Hands-on experience or deep familiarity with Material Information Management or enterprise materials data management platforms, • Working knowledge of database systems, data modelling concepts, and API-based integrations, • Experience with engineering data management, PLM integration, or digital engineering workflows, • Professional proficiency in English and French/German, • Experience with CAE, PLM, or materials data management platforms is a plus, • Exposure to agile or iterative project delivery methodologies is a plus, • You can sit in a technical workshop with a simulation engineer and an IT architect, understand both perspectives, and find the integration path that works for the organization, • You explain complex data governance trade offs to a VP in two sentences without losing the nuance or oversimplifying the risk, • You manage multiple customer engagements and internal projects at once without dropping threads or losing sight of what matters most, • You are curious and forward-thinking, always asking how a solution could scale, what could break, and what the customer will need six months from now, • You mentor colleagues naturally, sharing what you have learned and elevating the capability of the team around you, • You are comfortable with ambiguity and can move forward with incomplete information, asking the right questions and adjusting as you learn You will join a collaborative, cross-functional team of engineers, consultants, and product specialists dedicated to enabling digital transformation in materials data management. The team is focused on delivering strategic value to customers, driving best practices, and continuously evolving the capabilities of MIM solutions. Together, you will partner with industry leaders to modernize engineering workflows and shape the future of materials information management. We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process. #J-18808-Ljbffr

TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world's dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships. In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. We're looking for a Lead Software Platform Engineer working at the intersection of distributed systems and MLOps. You will own and scale our AI and data infrastructure as a product our customers build their science on, and that every other engineering team builds against. You will architect the cloud-based services and MLOps infrastructure that enable production-grade AI/ML workflows, working closely with Applied AI engineers, data engineers, and platform teams, and you will act as the technical design authority for how models, LLMs, and agents run in production. The work spans the model and prompt lifecycle, the evaluation and observability harness, the security and tenant boundaries around prompts and retrieval, and the cost and latency controls that keep production AI economically viable at scale. This is a highly impactful seat for an engineer who has shipped AI/ML infrastructure as a multi-tenant product rather than internal tooling. The model serving, MCP, and agent capabilities you build are consumed directly by scientists at the world's largest pharmaceutical companies, running against their own data under their compliance obligations. If that scope appeals to you, and you thrive on turning ambitious scalability and cost targets into concrete technical strategy inside a regulated environment, we'd love to talk to you. • Own the technical architecture of the AI/ML platform: the service and API surface our customers use to run models and agents against their own scientific data, and that Applied AI and data engineering teams build against internally., • Own the end-to-end model and prompt lifecycle across Databricks MLflow and AWS Bedrock, including registration, versioning, asset bundles, staged promotion, rollback, and multi-model serving., • Design the inference substrate for both real-time and batch AI workloads, including routing, batching, caching, concurrency control, GPU and accelerator capacity planning, handling of large binary inputs such as instrument images, and graceful degradation under load., • Integrate AI models and large language models (LLMs) into production systems using architectures like retrieval-augmented generation (RAG), and architect the agentic layer above them: tool and function calling, MCP-based tooling, and agent runtimes, deciding what belongs in the platform versus in the applications built on top of it., • Design security into the AI platform rather than leaving it to the applications above it, partnering with our security team on guardrails, prompt-injection and tool-abuse defenses, PII and PHI handling, and hard tenant data boundaries across prompts, retrieval, and tool calls., • Build the evaluation and quality infrastructure that makes AI shippable: offline and online eval harnesses, golden datasets, regression gates in CI, A/B and shadow deployment, and drift and hallucination detection in production., • Establish observability for the AI platform, including monitoring, alerting, logging, and distributed tracing, and set the SLI, SLO, and SLA model for systems whose outputs are probabilistic., • Design for reproducibility and lineage required in a validated pharma environment, with versioned data, code, prompts, and model artifacts, and an audit trail that can withstand customer and regulatory scrutiny., • Contribute to the infrastructure-as-code and deployment automation for the AI platform (CloudFormation, AWS CDK), partnering with the team that owns production deployments to support multi-tenant infrastructure, online upgrades, and on-demand compute allocation., • Own production readiness for the AI platform with Applied AI engineers, data engineers, and platform teams: the performance, reliability, and cost-efficiency of models in production, plus incident response and runbooks., • Act as SME and design authority across product and engineering. Lead design reviews, write the reference architectures and technical documentation others follow, and mentor senior and mid-level engineers on distributed systems and AI engineering practice., • Set technical direction on emerging AI infrastructure: evaluate new frameworks, serving runtimes, model providers, and data types, and make clear build-versus-buy decisions grounded in cost, risk, and scalability., • 10+ years of professional experience in software engineering and infrastructure engineering, with a proven track record of designing, building, and scaling distributed, cloud-native systems in production., • Demonstrated experience as a technical leader or architect, accountable for the key decisions on system design, scalability, performance, and cost optimization., • Experience designing security into a multi-tenant platform, including authorization boundaries between tenants and handling of sensitive data such as PII and PHI, with awareness of LLM-specific risks like prompt injection and tool abuse., • Extensive experience building and maintaining AI/ML infrastructure in production, including model deployment and lifecycle management, delivered as a multi-tenant product with external users rather than internal tooling for a single team. Candidates whose experience is limited to building pipelines for their own team will not be a fit., • Deep, hands-on experience taking LLM-based systems to production, including RAG architecture, retrieval and embedding design, prompt and model versioning, and tool or function calling. Not just prototyping with an SDK. We are looking for someone who has operated these systems under real traffic, real latency budgets, and real failure modes., • Expert-level coding skills in TypeScript and Python building robust APIs and backend services, with the judgment to critically evaluate AI-generated code for correctness, security, and architectural fit., • Production-level experience with a model registry and serving stack, ideally Databricks MLflow, including model registration, versioning, asset bundles, and serving workflows., • Experience treating AI evaluation as a release gate rather than post-hoc reporting, including eval harnesses, regression gates, and drift or quality monitoring for non-deterministic systems., • Proficiency in API-first design, including REST and OpenAPI specifications, designing APIs that are scalable, secure, versioned, and extensible., • Solid working knowledge of AWS and containerized workloads (e.g., Docker), and familiarity with infrastructure-as-code such as CloudFormation or CDK, with the ability to contribute to CI/CD pipelines and deployment automation., • Experience defining observability and SLI/SLO/SLA practice for production systems, including monitoring, alerting, and distributed tracing., • Ability to articulate ideas clearly to customers and cross-functional teams, influence technical direction on teams you do not manage, and mentor other engineers., • Familiarity with emerging LLM frameworks for advanced prompt orchestration and programmatic LLM pipelines., • Experience running agentic or multi-step orchestration in production, and with MCP as an integration surface for tooling and non-human identities., • Understanding of LLM cost monitoring, latency optimization, and usage analytics in production environments, including per-tenant cost attribution for tokens, GPU, and inference., • Experience with multimodal model inputs, including image and instrument data, and the throughput and cost implications of serving them at scale., • Experience with fine-tuning, distillation, or model optimization such as quantization, batching, or KV-cache strategy, to improve latency and cost., • Experience delivering ML or AI systems in a regulated or validated environment (GxP, 21 CFR Part 11, SOC 2), including computer system validation and audit readiness., • Background in scientific, life sciences, or laboratory data domains., • 100% employer-paid benefits for all eligible employees and immediate family members, • Unlimited paid time off (PTO), • 401K, • Flexible working arrangements - Remote work, • Company paid Life Insurance, LTD/STD, • A culture of continuous improvement where you can grow your career and get coaching, • The salary range for this position is $200K-$270K USD. The salary range posted reflects our target baseline for this role. Final compensation is determined by a thorough evaluation of factors including the candidate’s specific experience, localized market data, and internal team equity. We are not currently providing visa sponsorship for this position. #J-18808-Ljbffr

• Company Name: IC Resources Recruitment, • Job Role: Lead AI Architect, • Qualifications: Bachelor's, • Category: IT Jobs, • Job Type: Full Time, • Location: Cambridge A leading deep-tech organization in the UK is searching for a Principal AI Architect to spearhead a significant initiative focused on next-generation AI compute infrastructure. This well-funded company collaborates with major industry partners, research institutions, and public entities to enhance large-scale AI deployment. As AI models evolve rapidly, it is crucial to understand the interplay between hardware limitations, software optimization, and energy consumption. This senior role will be responsible for defining the technical direction and architectural roadmap for an advanced modeling environment aimed at analyzing full-stack AI inference performance. • Drive the long-term technical roadmap for an enterprise-grade performance modeling platform., • Bridge the gap between semiconductor hardware engineering, systems software, and deep learning model workloads., • Establish validation methodologies and high-performance engineering standards across multiple technical teams., • Serve as the chief technical voice, translating complex infrastructure concepts for senior executives and external partners., • Mentor a highly skilled group of systems and research engineers, cultivating an innovative engineering culture., • Postgraduate degree (PhD or equivalent industry research background) in Computer Science, Computer Architecture, or a highly quantitative engineering field., • Proven track record of leading complex, high-impact engineering projects from prototype phase to robust deployment., • Deep technical knowledge of GPU architectures, memory bandwidth constraints, and large-scale workload simulation., • Practical familiarity with distributed inference frameworks, cluster optimization, data center infrastructure, or open-source systems software is desirable., • A defining leadership position within a heavily backed, scaling technology enterprise., • Highly competitive salary package, pension, and comprehensive health benefits., • Strong professional network spanning elite commercial and academic circles., • Central office location in a major UK technology hub. Degree Requirement: Bachelor’s Visa Sponsorship May be #J-18808-Ljbffr

This role is with one of Dex's trusted partner companies. We work closely with their teams to truly understand their culture, goals, and what they're looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process. Dex is an AI recruiter agent that helps you run your job search. Tell Dex your stack, seniority, and what you want to build. We will manage your applications and surface other opportunities that are a fit. Most robotics simulation still relies on engines built for video games or legacy CPU physics packages never designed for massive parallelisation. This Cambridge-based startup, backed by leading VCs with a long runway and founded by veteran architects who spent over a decade building physics engines at a major semiconductor giant, is rewriting the simulation and learning stack for modern robotics from the ground up. They are a lean, deeply technical team of eleven working alongside live humanoid and quadruped hardware. You will lead the hands-on development of the core simulation and engine infrastructure, coding alongside founders who still commit engine code daily. This is a senior IC anchor seat, not an ivory‑tower management track: the on‑site engineering team is early‑career and needs a senior systems engineer in the room to review, unblock, and mentor. If you want layers of middle management and abstracted ticket‑shuffling, this is not it; if you want to write modern C++ close to the hardware and watch your simulation train physical robots in the lab, it is. • Architect and implement the core GPU-accelerated simulation engine powering massive-scale robot learning pipelines., • Write, profile, and tune performance-critical modern C++ where throughput and execution speed directly dictate training viability., • Bridge the engine to real-world edge hardware, validating simulation fidelity against in-house humanoid and quadruped robots., • Act as the senior technical anchor on site—setting engineering standards, unblocking complex bugs, and mentoring early-career engineers through pairing and rigorous code reviews., • Deep expertise in modern C++ with a track record of shipping performance-critical, low‑level systems where speed and determinism are the product., • Direct experience building or working deep inside physics engines, game engines, or comparably complex systems close to the silicon., • Demonstrated seniority through mentoring earlier-career engineers, levelling up the room via pairing, rigorous code reviews, and clear technical guidance., • Comfort debating technical trade-offs openly and iterating directly alongside highly technical, code‑writing founders., • Based in or able to relocate to Cambridge, UK, to work fully on site with the lab and robotics hardware every day. #J-18808-Ljbffr

• Build the software that validates Graphcore’s machine learning stack, from frameworks to AI accelerator hardware, • You’ll design production-quality test infrastructure that engineers can extend, maintain and rely on as Graphcore’s ML software grows, • Your work will help teams deliver reliable products, with clear evidence of numerical accuracy and performance across the stack, • You’ll architect scalable test frameworks and build CI/CD pipelines that run across simulators, emulators and physical hardware, • You’ll create representative ML workloads, analyse their execution and turn the results into practical improvements to testing and tooling, • This role gives you scope to shape software architecture and developer experience, not just add tests to existing systems, • You’ll deepen your understanding of the AI compute stack while solving engineering problems that connect software design with hardware behaviour, • Graphcore’s ML QA engineers build automation, work with industry-standard frameworks and models, and contribute to upstream open-source projects, • You’ll work across software teams, using code and design reviews to strengthen quality, security and maintainability, • You’ll use workload results to challenge assumptions and guide technical decisions about how Graphcore tests its ML stack, • You’ll own improvements, act quickly on testing gaps and mentor junior engineers to raise the team’s technical standards, • Work-Life Balance: We believe you should have a good work-life balance. Everyone’s situation is different, so we offer flexible working arrangements and start and finish times, allowing you to choose when to work from home or come into the office, • Healthcare: We offer Private Medical Insurance (PMI) to our employees to help them take care of their health and that of their loved ones, • Pension: We believe that our employees deserve the best when it comes to planning for their future, • Income Protection: Graphcore understands that unforeseen circumstances can happen, and we want to ensure our employees have the necessary financial security in place, • Progression: We prioritise learning and development as an integral part of our culture at Graphcore. Our Talent Development team is dedicated to equipping all our employees with the necessary tools, resources, and support to enhance their skills and reach their full potential in their careers, • Wellbeing: We want to ensure that our employees have the resources and support they need to prioritise their health and wellbeing While we have outlined a set of requirements, we value transferable skills and diverse experiences. We also welcome engineers returning to the profession after a career break, including through returnship routesA self-directed approach to solving complex problems, identifying gaps and driving improvementsExperience building CI/CD pipelines and automated testing systems in Linux environmentsFamiliarity with C or C++, including the ability to read, debug and reason about low-level codeStrong Python skills, demonstrated through designing, developing and maintaining production-quality softwareThe ability to mentor junior engineers and influence engineering practices through constructive feedbackSoftware design and architecture skills for large, complex codebases, with a focus on testability and long-term maintainability #J-18808-Ljbffr

At Kandou, we are redefining the economics of AI infrastructure. Our mission is to democratise AI by significantly reducing the Total Cost of Ownership (TCO) of hardware systems — a critical barrier to scalable adoption. Our proprietary MIMO-over-copper technology powers a high-performance, chiplet-based AI memory fabric that is both scalable and energy-efficient. Unlike traditional interconnects, our solution reduces power consumption significantly while preserving high bandwidth and ultra-low latency — unlocking unprecedented efficiency for AI training and inference at scale. Kandou’s architecture is not just an incremental improvement — it’s a foundational shift in how AI hardware is built for the future. We are actively seeking a Software Architect based in one of the following locations: India (Hyderabad/Bangalore), UK (Reading/Cambridge) Switzerland (Lausanne). • Architect CMIS 5.x stack (DataPath State Machine, VDM, I2C/MCTP, FW-SW interface), • Lead host interop tests for hyperscalers (Meta, AWS, etc.), build test matrix and regression suite, • Develop manufacturing test orchestration (ATE integration, yield analytics, on-chip stimulus), • Build telemetry pipeline from FW to host/cloud (formats, compression, SDK APIs), • Own customer SDK and tools (C/Python, CLI, log analysis), release management, • Ensure standards compliance (CMIS 5.x, OSFP MSA, SFF-8024, OIF), • Travel: Up to 25% (customer engagement, manufacturing, standards), • Good knowledge of C/C++, Python, systems language (Go/Rust); CI/CD, conformance tests, • Good knowledge of I2C/MCTP, SFF-8024, vendor extensions, • Good understanding of standards implementation (OIF, SFF, IEEE mgmt-plane), • Good knowledge of architecture documentation (SHALL/MUST, REQ traceability), • Self-motivated, with strong sense of ownership and responsibility, • Good communication and reporting skills, • Principal / Senior Staff (8-10 years post-degree), • 8-10 years high-speed interconnect software (module SW, management, test, SDK), • CMIS 4.x/5.x implementation and OSFP MSA experience, • Hyperscaler interop with NIC/switch ASICs (Nvidia, Broadcom), • Test software architecture with ATE/yields, • Manufacturing and field support experience, • BS in Electrical Engineering, Computer Engineering, or Computer Science (MS preferred) If this is the role you have been looking for and you want to be part of a growing Company, with an exciting future then we would really love to hear from you. Together We Kandou It! #J-18808-Ljbffr

Purcell are expanding our team and are looking for a talented, enthusiastic and experienced Architect/Technologist or Senior Architect/Technologist to join our Cambridge team. This role offers the opportunity to be involved in, and lead projects at all RIBA stages, working collaboratively with clients, colleagues and consultants. We offer a rewarding and supportive environment for personal and professional development. This is an excellent opportunity to join our award-winning, friendly and inclusive team and we are keen to talk to experienced professionals with excellent design and technical skills and experience of running successful architectural projects. Purcell is an award-winning employee-owned architectural and heritage consultancy practice with a commitment to quality, innovation, and diversity. We have staff of approximately 350 talented architects, designers, heritage consultants and surveyors across 14 offices, in the UK, Hong Kong and Australia. Proudly ranked No. 1 for Heritage in the World Architecture 100 for a fifth consecutive year. Collaboration is central to our employee-ownership culture, providing opportunities to work on some of the finest buildings; from meticulous heritage and conservation schemes to bold contemporary design. We offer a rewarding and supportive environment for personal and professional development and our employee-owned ethos empowers everyone to use their voice. We believe in creating an equitable and inclusive culture, founded on our values, which celebrates knowledge sharing and our successes, to build an inspiring work environment. It is our distinctive employee-owned working culture that has contributed to our status as a World Architecture Top 100 Practice, renowned for our excellence in architecture and heritage consultancy. • Agile, flexible and hybrid working, (a minimum of 3 days in office, up to 2 days WFH), • Annual leave increasing with long service, • Life assurance, • Study sponsorship with paid study leave, • Sabbaticals, • Employee assistance programme, • Season ticket loans, • Cycle to work scheme, • Virtual GP service, • Subscription fees, • Company day out, • A volunteering scheme, • Enhanced learning & development opportunities., • Driving creative design proposals across all projects., • Programming and planning technical design packages, defining outputs and deliverables., • Day to day execution, management and leadership of projects (or packages within a larger project) successfully delivering positive design, client satisfaction and financial outcomes., • Reporting to your team leader and wider studio leadership team., • Liaison and coordination of design professionals within a multi-disciplinary design team., • Regular communication with clients and project stakeholders., • Undertaking technical design reviews/audits of projects and sharing feedback and lessons learned., • Line management of up to three people., • Being part of a diverse, inclusive and creative team of architectural professionals., • At least 5 years of post-qualification experience working as a Project Architect or Technologist for a UK-based practice. RIBA/ARB or an equivalent professional qualification, such as CIAT., • Strong creative design skills., • Excellent technical and detailing skills., • Strong understanding of UK Building and Planning regulations., • Proven experience working across all RIBA stages, particularly stages 3-7., • Experience in using and/or managing others using technical software, including AutoCAD, Revit, and NBS software., • Conservation experience is desirable., • Project management and contract administration skills., • Leadership experience in managing a small to medium-sized team., • Well-organised, proactive, and enthusiastic approach to work and projects., • Excellent verbal and written communication skills., • Strong client-facing communication skills., • Experience taking responsibility for the financial success of projects., • Enthusiasm for developing wider team skills and sharing knowledge and experience. This job description is a guide to the duties the post holder will be expected to undertake. It is not intended to be exhaustive or exclusive and will be subject to change as working requirements dictate and to meet the organisational requirements of Purcell. As world leaders of Heritage and Conservation, Purcell is committed to embracing diversity and equal opportunity within our international teams, reflective of the society in which we work and live. We welcome people from all backgrounds and celebrate differences through our culture of employee ownership. #J-18808-Ljbffr

1 week ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Who We Are TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. What You Will Do Providing a strategic technical partnership with Customers, you will bridge the gap between the business objectives and technical execution. You will be the primary technical leader for scientific end-users to design, architect, and deliver highly impactful solutions to pharmaceutical and biotech customers. You will work to understand scientists' and R&D IT analysts' needs, analyze their data environment, assist in the design and implementation of our solutions and enable customers to achieve faster ROI, reduced risk, smoother scaling, accelerated product adoption and ensure the long-term success of projects. • Primary technical point of contact across strategic accounts, • Lifecycle engagement & adoption acceleration from presales to delivery, • Technical health & risk management, • Strategic planning and stakeholder management across sales, product management and engineering teams, • Sales enablement & growth support, • Deep and wide technical and science senior relationships, • Deeply understand Customer scientific data and AI architecture & goals, • Provide proactive, prescriptive technical guidance, • Act as a trusted advisor aligned to Customer outcomes, • Drive adoption & success plan execution, • Conduct regular technical reviews, • Identify risks & recommend optimizations, • Lead technical strategy for expansions, • Support POCs & co-innovation, • Manage resolution for escalated issues, • Accelerate time to value, • Improve stability & uptime, • Strategic roadmap alignment, • Prioritized support & faster resolutions, • Support growth through hands on sessions and enablement presentations, • Showcase tailored demonstrations to prospects, to both small and large audiences, • Solution Mapping: Map business requirements to technical solutions, • ROI Calculation: Determine potential return on investment for proposed solutions, • Relationship Building: Cultivate relationships with clients, sales teams, and technical teams, • Working with the science and technology Partners such as Databricks and Google, • Negotiation Skills: Collaborate with clients and sales teams to reach beneficial agreements, • Product Knowledge: Develop a deep understanding of the company's product or service offerings, • Demo Development: Design and showcase tailored demonstrations to prospects, • Proposal Writing: Contribute to RFPs/RFIs with detailed technical specifications and solutions, • Timeline Management: Ensure projects are kept on track and within scope, • Stakeholder Management: Coordinate with various stakeholders to ensure the smooth flow of presales activities, • Scientific background academic and/or 5+ years professional experience in Life Sciences, • Senior Technical Architecture experience 5+ years, • Commercial tech sales support, • R&D IT OR Data & Informatics, • Data Modeling: Understand logical, physical, and conceptual data models, • Database Systems: Proficiency in cloud RDBMS (like Snowflake) and NoSQL databases (like Redshift and Databricks), • Big Data Technologies: Familiarity with tools like Spark, and data warehousing solutions, • Cloud Platforms: Experience with cloud providers mainly AWS especially their data services, but also Azure, Google Cloud, • Data Governance and Quality: Understanding of data lineage, metadata management, and data quality processes and tools, • Analytics and BI Tools: Familiarity with tools such as Tableau, Power BI, QlikView, and their backend requirements, • Competitive Salary and equity in a fast-growing company, • Supportive, team-oriented culture of continuous improvement, • Generous paid time off (PTO), • Flexible working arrangements - Remote work We are not currently providing visa sponsorship for this position #J-18808-Ljbffr

A Materials Knowledge Architect typically needs a solid grounding in materials science plus the ability to turn messy scientific data into clean, structured representations. A strong candidate brings hands on experience designing schemas and ingestion pipelines for scientific data, and can work closely with product and data teams. At a company building an AI search engine for new materials, that means shaping how physical property data and chemical designs are captured so the models can use them well. AI speeds up the search over candidate materials, but the quality of that search depends on how the underlying scientific data is modeled and cleaned. This role stays human because it requires judgment about what a property means, how experiments are described, and which data is trustworthy. The architect sets the structure that AI then works within. The role builds AI experience through designing data representations that feed machine learning models for materials discovery. It offers practice in connecting domain science to data pipelines, which is a core skill for AI work in industry and robotics. Building familiarity with schemas, data ingestion and property prediction workflows would help someone step into this kind of work. • Materials science background, • Scientific data modeling, • Property data handling This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role. An AI search engine for new materials that the company says turns a wanted set of physical properties into synthesizable chemical designs in months instead of years of lab trial and error. #J-18808-Ljbffr

Job Title: Technical Lead – AI & Software Engineering Salary: £53,100 - £70,950 Location: Cambridge, UK - Hybrid (at least 2-3 days per week in the office) Contract: Permanent Hours: Full-time, 35 hours per week We are recruiting a Tech Lead for each of two projects. Each Tech Lead will work within a POD led by the Technical Product Manager for their project, reporting to the Solutions Lead. We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge. We're seeking a hands-on Tech Lead with strong leadership and collaboration skills to lead delivery of AI-enabled solutions that transform how assessments are created and marked. Your solutions will depend on privately hosted language models, and you'll ensure they are secure, reliable, auditable and grounded in approved assessment content, working within the enterprise direction set by the Solution Lead. In this role, you will not only lead and mentor a small cross‑functional squad, but also remain deeply involved in the technical delivery—applying your expertise directly to architect, code, and implement solutions. You will set technical standards, write and review code, and solve complex challenges alongside your team, taking a first release from idea to live use by assessment experts and examiners. Throughout, you'll work closely with those experts, who remain in control of every decision that affects a candidate. We are looking for someone who leads by example, demonstrates recent hands‑on experience of building products with language models, and is passionate about both technical excellence and team development. • Content Creation: AI‑assisted solutions that help to transform the authoring and quality assurance of assessment content, including question papers and mark schemes., • Marking and Core Operations: AI‑assisted tools that support examiners in reading handwritten scripts and marking consistently, with examiners making every decision., • Deliver AI‑Enabled Solutions: Build end‑to‑end products that use securely hosted language models, from data and retrieval through to user interfaces and integration with existing assessment systems, while communicating design rationale to diverse stakeholders for buy‑in and feedback., • Ground and Validate Outputs: Use retrieval over approved assessment content, structured outputs and rule‑based validation so that results are accurate, traceable and consistent with syllabus requirements, working with assessment experts owners to agree what “correct” looks like., • Measure Quality: Build evaluation sets and quality gates alongside assessment experts, using them to select and compare models and to show each release is fit for use, fostering a team culture of shared accountability and continuous improvement., • Keep Experts in Control: Design review workflows with examiners and assessment experts so they make every final decision, with every AI suggestion and human decision recorded for audit., • Protect Sensitive Content: Champion secure practices aligned with industry standards, ensuring models, data, prompts and logs stay within approved secure environments, and influencing stakeholders to prioritise security in decision‑making., • Shape Cloud‑Native Architecture: Design scalable, resilient architectures on AWS using approaches like microservices, serverless, containerisation and GPU‑based model hosting, using Infrastructure as Code for cost‑effective, repeatable deployments., • Drive Observability: Implement robust observability covering system performance, reliability and the quality of AI outputs, so issues are found and resolved proactively., • Integrate with our Enterprise Platforms: Design solutions that integrate with our event‑driven exam processing platform and with content management and item banking systems, collaborating with cross‑functional groups to keep solutions decoupled and scalable Build Web‑App Solutions: Develop responsive, high‑performance web applications that make assessment experts and examiners faster and more confident, adapting to user feedback and business priorities through iterative collaboration., • Lead Automation and CI/CD: Drive automation through CI/CD pipelines to accelerate delivery and minimise technical debt, promoting agile ways of working that encourage team input and adaptability., • Mentor and Collaborate: Guide engineers, foster a culture of learning and inclusivity, and collaborate with Technical Product Manager for their project , the other project team, platform and schema owners, and the Solution Lead so that shared components and formats stay consistent., • Facilitate Stakeholder Engagement: Act as a key liaison in stakeholder groups, translating technical concepts including what AI can and cannot reliably do into actionable insights, resolving conflicts, and building consensus to ensure project success. This position has been classified as a hybrid role, requiring the selected candidate to typically spend 40‑60% of their time collaborating and connecting face‑to‑face at their dedicated location. Aside from our hybrid principles, other flexible working requests will be considered from the first day of employment, including other work arrangements should you require adjustments due to a disability or long‑term health condition. As a hands‑on Tech Lead, you'll bring broad expertise in cloud‑native architecture and in building products that depend on language models, coupled with exceptional soft skills to thrive in collaborative environments. Your experience includes taking AI‑enabled solutions into production, with a realistic understanding of their strengths, limitations and failure modes, and a focus on horizontal skills like problem‑solving, adaptable design thinking, and leading through influence. You excel in agile, cross‑functional teams, where your ability to communicate effectively, mentor diverse groups, and work alongside domain experts is as critical as your technical acumen. You will be expected to apply your technical skills directly—writing code, architecting systems, and solving complex technical challenges alongside your team. • Leadership and Mentoring: Proven track record of guiding teams, fostering collaboration, and promoting a growth mindset to unlock team potential., • Communication and Stakeholder Management: Skilled at articulating complex technical ideas to non‑technical audiences, setting realistic expectations about AI, facilitating workshops, and building relationships to align on shared goals., • Working with Domain Experts: Comfortable treating assessment experts and examiners as the owners of quality, turning their judgement into clear acceptance criteria and evaluation measures., • Adaptability and Collaboration: Thrive in dynamic settings, adapting to evolving priorities and a fast‑moving AI landscape while collaborating across functions to drive innovation and resolve challenges., • Problem‑Solving and Resilience: Approach issues with a holistic, user‑centred mindset, balancing technical feasibility with business impact. On the technical side, you'll have hands‑on experience of building products with large language models, including retrieval over domain documents, structured or schema‑constrained outputs, evaluating output quality against expert judgement, and running models in private or self‑hosted cloud environments. You'll also bring proficiency in areas like microservices, serverless, containerisation, and building web applications, with experience in observability, security standards, Infrastructure as Code, and CI/CD practices. We value transferable skills over specific tool expertise, as technical depth can be developed through our supportive learning environment; practical experience of taking language‑model‑based products into production, however, is essential. Ideally, you'll also bring experience of knowledge graphs or ontologies, fine‑tuning techniques, vision‑language models or handwriting recognition and a background in assessment, education or other regulated, high‑stakes environments. An interest in event‑driven architecture (EDA) and Domain‑Driven Design (DDD) is a plus. For a detailed job description, please refer to the link at the bottom of the advert on our careers site. We are a Disability Confident (DC) employer that is committed to equality and inclusion ensuring our recruitment process is accessible to all. The DC scheme's Offer of an Interview commitment applies to applicants who opt in, and disclose a disability or a long‑term health condition, and who best meet the minimum criteria for the role. In instances where interviewing all qualifying candidates is not practicable and/or appropriate, we prioritise those who best meet the minimum criteria, as we would for applicants who do not have a disability or long‑term health condition. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the gov.uk website for guidance to understand your own eligibility based on the role you are applying for. We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world‑class, flexible rewards package, featuring family‑friendly and planet‑friendly benefits including: • 28 days annual leave plus bank holidays, • Private medical and Permanent Health Insurance, • Discretionary annual bonus, • Group personal pension scheme, • Life assurance up to 4 x annual salary, • Green travel schemes We aim to support candidates by making our interview process clear and transparent. The closing date for all applications will be 23 November 2026. We will review applications on an ongoing basis, and shortlisted candidates can expect interviews to take place from theweek commencing 30 November 2026. If you require any reasonable adjustments during the recruitment process due to a disability or a long‑term health condition, there will be an opportunity for you to inform us via the online application form. We will do our best to accommodate your needs. Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry. Joining us is your opportunity to pursue potential. You will belong to a collaborative team that is exploring new and better ways to serve students, teachers and researchers across the globe – for the benefit of individuals, society and the world. Sharing our mission will inspire your own growth, development and progress, in an environment which embraces difference, change and aspiration. Cambridge University Press & Assessment is committed to being a place where anyone can enjoy a successful career, where it is safe to speak up, and where we learn continuously to improve together. We welcome applications from all candidates, regardless of demographic characteristics (age, disability, educational attainment, ethnicity, gender, marital status, neurodiversity, religion, sex, gender identity and sexual identity), cultural, or social class/background. We believe better outcomes come through diversity of thought, background and approach. We welcome applications from people from all backgrounds and communities, actively seeking to employ people from a wide range of different communities. #J-18808-Ljbffr

Join to apply for the Application Architect role at GE Vernova. Join us at GE Vernova Grid Software to be part of the team leading the digital transformation of the energy market. As the world’s energy sector moves away from fossil fuels toward renewable energy sources, industrial companies are challenged with addressing this transition in transformative ways. Digitization will be key to making power-generating assets more efficient and the electric grid more secure and resilient. Our Geospatial products play a critical role in this transformation by supporting the design, modelling and maintenance of electric gas and telecommunication networks. • Design, develop, and maintain backend systems and services using Java, Spring Boot, and PostgreSQL within a microservices architecture to deliver cloud-based geospatial enterprise products., • Contribute to the design of RESTful APIs to build scalable high-performance services for single- and multi-tenant SaaS products., • Design, document and oversee the architecture of scalable SaaS products., • Work as part of a team optimising database queries and ensuring data integrity and consistency in PostgreSQL., • Engage in technical discussions, participate in technical designs and present technical ideas through white boarding (or online equivalent)., • Evaluate technology options to meet business needs and make appropriate trade-offs., • Stay abreast of emerging trends in SaaS, cloud computing and data technologies., • Maintain code quality through best practices, unit testing and code quality automation., • Understand performance parameters and be able to assess application performance and contribute to optimising it/improving it through design and best coding practices., • Work on core data structures as well as algorithms and have the ability to implement them using a language of choice., • Use excellent communication skills to work collaboratively and effectively with global teams in an Agile setting., • Write clear, structured documentation for designs, ensuring developers and stakeholders can easily understand and maintain the codebase, along with product documentation to support end user integration., • Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology, Engineering and Math) with advanced experience., • Strong professional experience., • Experience in using back-end technologies such as Java, Spring Boot, PostgreSQL, GraphQL, Kafka, MinIO, and Infinispan., • Experience in both SaaS and on-premise deployments developing performant, resilient and scalable enterprise software services and components using microservices, with a focus on handling large data volumes including both relational and NoSQL databases., • Experience in designing, implementing and maintaining observability solutions enabling effective monitoring and troubleshooting of applications and services., • Experience with PostgreSQL, including performance optimization, query tuning, and schema design in a microservice environment., • Familiarity with PostGIS for working with geospatial data in PostgreSQL., • Experience building distributed systems including on security, analytics, throttling, caching, and logging., • Experience building performant RESTful or GraphQL APIs which serve large volumes of data., • Familiarity with geospatial data ingestion and management at scale (or similar connected network paradigm)., • Experience using server-side monitoring and observability technologies such as Grafana, Kibana, Kiali, and Jaeger., • Experience in containerization and orchestration using Docker, Helm and Kubernetes., • Experience with Security frameworks (e.g., JWT, OAUTH2)., • Strong knowledge of Object-Oriented Analysis and Design, Software Design Patterns and Java coding principles., • Experience in API documentation, for example using Swagger with REST API and GraphQL schema documentation., • Relocation Assistance Provided: No, • Seniority level: Mid-Senior level, • Employment type: Full-time, • Job function: Engineering and Information Technology, • Industries: Electric Power Generation #J-18808-Ljbffr

EMBL-EBI is seeking a Senior Solution Architect to lead Digital Experience initiatives. You will guide architecture across web apps, APIs and AI-enabled services, while hands-on in discovery and development. You will mentor teams and collaborate with UX, product and IT stakeholders across EMBL-EBI. You will shape AI-enabled digital services, ensure accessible, scalable architectures, and drive modern software delivery practices. #J-18808-Ljbffr

A chance to work on some of the UK's most high-profile heritage and conservation projects across all RIBA stages. This is an opportunity to blend innovation with tradition, leading landmark restorations and contemporary interventions within historic settings. What you’ll be doing: • Leading and managing technical design packages for heritage and conservation projects., • Overseeing projects to ensure exceptional design quality, client satisfaction, and financial success., • Collaborating with multidisciplinary teams, clients, and stakeholders., • Conducting technical design reviews and audits, sharing feedback and best practices., • Mentoring and managing junior team members, while contributing to the Technical Leadership Group. What you’ll need: • 10+ years post-qualification experience as a Project Architect or Technologist in a UK-based practice., • RIBA/ARB or CIAT accreditation with strong technical expertise in detailing, UK Building & Planning regulations., • Experience across RIBA Stages 3-7, with a proven track record in heritage and conservation architecture., • Proficiency in AutoCAD, Revit, and NBS, with experience managing others using these tools., • Strong leadership, project management, and client-facing skills, with experience mentoring teams. What’s in it for you? • 2 days WFH per week & flexible working hours, • 25 days holiday (increasing to 30) + life assurance, • Yearly bonus + pension scheme, • Private medical cover, cycle-to-work scheme, eye care vouchers, • Enhanced maternity & paternity pay This is an ideal role for a Senior Architect looking to make a meaningful impact on some of the UK’s most treasured buildings. Apply now or reach out for a chat! Mid-Senior level Full-time Design, Information Technology, and Project Management Architecture and Planning #J-18808-Ljbffr

Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. At Roku, the UI Systems team builds the high-performance engines and core graphics infrastructure that power millions of devices. We own the low-level C++ frameworks, rendering pipelines, and system architectures that enable smooth navigation and rich animations. Our work sits at the intersection of hardware and software, where we optimize graphics rendering, memory management, and layout engines to ensure a consistent, lightning-fast experience across our entire device portfolio. We operate in a collaborative, high-trust environment, partnering closely with firmware and silicon teams to push the boundaries of what’s possible on embedded hardware. As a Senior Software Engineer, you will be a key architect of the core systems that underpin Roku’s user experience. You will design and implement performance-critical code within our UI engine, focusing on graphics primitives, memory efficiency, and hardware acceleration. You’ll tackle complex systems-level challenges—such as optimizing frame rates on resource-constrained hardware and building robust APIs for higher-level frameworks. This role is ideal for engineers who thrive on low-level systems programming, care about performance down to the microsecond, and want to build the high-performance foundations that power the future of television. • Architect and optimize core C++ UI frameworks and rendering engines to ensure buttery-smooth performance across a diverse range of hardware profiles., • Lead technical investigations into system-level bottlenecks, memory leaks, and GPU/CPU synchronization issues., • Develop and maintain low-level graphics APIs and layout systems that serve as the backbone for Roku’s application ecosystem., • Integrate AI/ML capabilities at the systems level, leveraging generative AI tools to optimize code generation and automate performance profiling., • Collaborate with firmware and driver teams to leverage hardware-specific optimizations and ensure seamless integration with the underlying OS., • Mentor junior developers through deep-dive code reviews, architectural design sessions, and technical documentation of core systems., • Drive engineering excellence by implementing advanced debugging tools, automated performance regression suites, and modern C++ best practices., • Minimum of 5+ years of software engineering experience with a heavy focus on C++ (C++14/17/20)., • Deep understanding of systems programming, including memory management, multi-threading, and hardware-software abstraction layers., • Experience with graphics APIs (e.g., OpenGL, Vulkan, or proprietary embedded graphics stacks) and rendering pipelines., • Proficiency in Python for tooling and automation, with a working knowledge of BrightScript or JavaScript being a significant plus., • Strong root cause analysis skills, specifically using tools like GDB, Valgrind, or platform-specific profilers., • Knowledge of AI applications and hands-on experience using generative AI tools to accelerate systems-level development., • A proactive mindset with a passion for squeezing every drop of performance out of embedded systems and a commitment to data-driven optimization. Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance. Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to . Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. #J-18808-Ljbffr

Forefront RF is a fabless semiconductor company developing breakthrough RF technology that radically simplifies RF front‑end architectures for mobile and connected devices. Our long‑term vision is to empower anyone to treat global connectivity as a commodity, effortlessly adding it to any device. We lead through innovation, solving our customers' toughest challenges and enabling them to stay ahead by pushing the boundaries of RF design. • One team: We listen, share, and build solutions together. Collaboration is at the heart of how we work. We support one another, embrace challenges and fun, and celebrate collective success., • Innovation with intent: We operate at the forefront of technology, building innovative pathways to the future that meets real customer needs, • Solutions driven: We develop world leading manufacturable products that deliver effortless connectivity., • Customer focused: We act with integrity, hold ourselves accountable, and are guided by a deep commitment to deliver customer focused solutions., • Sustainable: We design for longevity and reuse - leveraging globally connected RF technology to extend product lifecycles and reduce waste As we move from core technology development toward customer qualification and productisation, system‑level architectural clarity has become critical. We are therefore expanding the CTO team with an RF Systems Architect who will play a central role in aligning RF design, algorithms, software, and test into a coherent, validated system architecture. System Architecture & Technical Coherence: • Own the end‑to‑end RF system architecture, from RFIC blocks and tuning through control, software interfaces, calibration, and test, • Translate product and technical specification requirements (e.g. 3GPP) into clear system and sub‑block specs, making design choices that support buildability, test, and reuse, • Define and execute system analyses and feasibility studies aligned with Forefront RF's technology roadmap Cross-Disciplinary Integration: • Act as the technical bridge between RF design, algorithm development, embedded software, and test teams., • Clarify ownership and interfaces, and ensure assumptions made in one area are understood and verifiable in others. Validation Strategy & Correlation: • Define how the system is validated, including simulation coverage, measurement plans, and coverage of key corner cases., • Lead review and resolution of gaps between simulated and measured system performance. Technical Risk Identification & Reduction: • Proactively identify system‑level risks and trade‑offs, and drive alignment on mitigation plans., • Support the CTO with a clear view of architectural uncertainties that affect schedule, yield, or customer performance. Support to Productization & Customer Readiness: • Ensure the system architecture supports customer use cases and integration needs., • Contribute to customer‑facing technical material and support system‑level technical discussions with customers & partners. Technical Leadership & Culture: • Set the standard for clear, system‑level engineering thinking and decision making., • Promote structured technical reviews, clear documentation, and evidence‑based decision making. About you: You're excited by the opportunity to work with breakthrough technologies. Technical Skills: • Strong background in RF systems, RFICs, or RF module development in a commercial product environment, • Proven experience working across multiple disciplines: RF design, algorithms, embedded software, and validation/test, • Demonstrated ability to reason at system level, balancing performance, complexity, risk, and manufacturability, • Experience defining system architectures, performance budgets, and RF specifications, • Hands‑on understanding of RF measurements, hardware/system debugging, and real‑world non‑idealities People Skills: • Excellent system‑level analytical and problem‑solving skills, • Ability to communicate complex technical concepts clearly across disciplines, • Comfortable challenging assumptions and driving constructive technical debate, • High sense of ownership for technical correctness and system integrity, • Pragmatic mindset: focused on what can be built, tested, and delivered Nice to have: • Experience with mobile RF front‑ends and relevant standards (e.g. 3GPP, MIPI), • Exposure to NPI, manufacturing, or production test considerations, • Prior experience in a fabless semiconductor or start‑up environment, • Competitive salary and pension contributions, • Company Share Option Scheme, • 25 days holiday + bank holidays, • Weekly company lunches, • Flexible work hours and remote work options, • Private medical insurance, • Life assurance x 4, • Income protection, • Healthshield Cash plan, • Heka flexible benefits platform We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, sex, gender identity, sexual orientation, age, non‑disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. #J-18808-Ljbffr

Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. Roku TV is where embedded systems, media experiences, and intelligent software come together at massive scale. The Roku TV organization builds technology used on millions of TVs globally, and the team is already applying AI to demanding TV problems in resource-constrained environments where quality, performance, and reliability matter. As part of this team, you will help define how agentic AI systems are designed, built, and operated for Roku TV use cases. This is a hands-on engineering role for someone who treats AI agent design as an engineering discipline: architecting durable systems, grounding them in the right context, integrating them with tools and services, and making them reliable in production. We are looking for a hands-on, systems-oriented Agentic AI Engineer to design, build, and maintain intelligent agents and copilots that drive automation, accelerate workflows, and unlock new product and platform capabilities for Roku TV. You will own the full lifecycle of agent development from prototyping and architecture through orchestration, evaluation, deployment, observability, and continuous improvement. You will contribute directly to Roku's AI strategy by engineering reusable components, optimizing agent workflows, and ensuring strong real-world performance in production. At Roku, we don’t just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We’re looking for curious, adaptable builders who can show how they’ve used AI or automation to move faster, raise the bar, and scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain - coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you. • Architect, develop, and deploy AI agents and copilots for Roku TV use cases, integrating them with internal systems, tools, and services., • Own end-to-end agentic systems from concept to production, including model selection, prompt and context design, retrieval strategies, backend services, and conversational interfaces., • Design and implement single-agent and multi-agent orchestration patterns, including handoffs, delegation, and cooperative task execution., • Build scalable RAG and context pipelines that provide high-quality grounding for AI systems and keep them aligned with evolving data sources and business logic., • Implement tool-calling, function-calling, and MCP-style integrations so agents can safely take actions and interact with the systems around them., • Create reusable agent templates, modular components, and paved-path patterns that accelerate adoption across teams and use cases., • Establish strong evaluation, observability, and monitoring for conversation quality, task success rate, latency, cost, and overall system performance., • Build safeguards that improve production readiness and reliability, including testing pipelines, controlled rollouts, drift detection, and mechanisms that prevent error amplification in multi-step workflows., • Prototype quickly, run experiments, and translate successful ideas into durable, scalable software solutions., • Partner closely with engineering, product, QA, infrastructure, and cross-functional teams to deliver meaningful business and customer outcomes., • Bachelor's or master's degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or a related technical field., • 2+ years of experience in software engineering, AI/ML engineering, backend development, or adjacent domains, with strong software engineering fundamentals and the ability to build production-grade systems., • Strong proficiency in Python, plus experience with C/C++ or another systems language., • Hands-on experience with LLM-based systems, including prompt design, retrieval, tool use, memory handling, and agent orchestration patterns., • Experience building and maintaining RAG pipelines, agent frameworks, MCP servers or equivalent function-calling architectures, and conversational interfaces., • Familiarity with cloud platforms, REST APIs, containerization, and modern deployment environments., • Experience with observability, evaluation, experimentation, and feedback loops for AI systems in production., • Ability to work independently, manage ambiguity, move quickly, and deliver incrementally in a fast-paced environment., • Excellent communication skills, sound engineering judgment, and a collaborative working style., • Experience with multi-agent frameworks or orchestration systems such as LangChain, AutoGen, or Semantic Kernel., • Experience with video, audio, TV, or edge-device environments, especially where latency, cost, and hardware constraints matter., • Familiarity with ML/DL frameworks such as PyTorch or TensorFlow., • Research experience, paper implementation experience, or a habit of applying emerging GenAI techniques pragmatically to real problems. Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance. Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to . Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that’s changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit factsheet. By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing . #J-18808-Ljbffr

Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. Roku is seeking a Senior QA Automation Architect to help evolve test automation capabilities from primarily AV-sync testing into broader audio quality coverage across Roku TVs, soundbars, and headphones. In this role, you will partner closely with the team lead to architect and advance the automation ecosystem, with a strong emphasis on AI-driven innovation through internal initiatives. You will design and implement test analysis systems that identify quality gaps, predict failure patterns, and optimize test effectiveness across products. This role requires a self-motivated, detail-oriented professional who thrives in fast-paced environments and is comfortable working through ambiguity while navigating evolving priorities. You will establish new methodologies for measuring and improving test quality beyond simple pass/fail metrics, focusing on regression prevention and production reliability. The ideal candidate brings deep expertise in test architecture, embedded systems automation, and AI-powered quality assurance, and is excited to drive meaningful transformation in how Roku tests and delivers audio experiences. At Roku, we don't just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We're looking for curious, adaptable builders who can show how they've used AI or automation to move faster, raise the bar, and scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you. • Design and implement test analysis systems that identify quality gaps, predict failure patterns, and optimise test effectiveness, • Design systems that collect, analyse, and act on testing data to continuously improve quality processes, • Leverage AI-powered tools to implement test automation, failure analysis, and root cause identification, • Establish new methodologies for measuring and improving test quality beyond simple pass/fail metrics, focusing on regression prevention and production reliability, • Define and implement architectural patterns that make testing more effective, maintainable, and aligned with business impact, • Drive systematic regression tracking and implement processes to prevent regression reoccurrence, • Collaborate with cross-functional teams to align quality initiatives with broader engineering goals, • Mentor engineers on best practices in test architecture, automation design, and AI-assisted quality assurance, • Expertise in test architecture and automation systems design, • Programming experience across multiple languages, with Python as a core requirement, • Expertise in test automation with embedded systems in the loop, • Proven track record driving test transformation initiatives that significantly improved test effectiveness and reduced production issues, • Ability to design, implement, and optimize solutions leveraging AI tools and predictive analytics for quality assurance, • Knowledge of continuous integration tools (Jenkins, GitLab, TeamCity, AWS) and their optimization for quality gates, • Experience with test flakiness analysis, failure pattern recognition, and automated root cause identification, • Strong verbal and written communication skills with the ability to influence senior leadership and cross-functional teams on quality initiatives, • Experience mentoring engineers and driving organisational change in testing practices, • Experience as a project QA or development lead, or in a similar capacity, • Certifications or training in AI/ML or AI-driven testing approaches Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance. • Global access to mental health and financial wellness support and resources., • Statutory and voluntary benefits which may include healthcare (medical, dental, and vision)., • Life, accident, disability, commuter, and retirement options (401(k)/pension)., • Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to . Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit factsheet. By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing . #J-18808-Ljbffr

Redgate creates simple software to help data professionals get the most value out of any database. Our solutions solve complex database management challenges across the DevOps lifecycle, making life easier for IT leaders, development, and operations teams by increasing efficiency, reducing errors, and protecting business-critical data. The data community trusts Redgate to balance speed to market, team collaboration, and data protection. Find out more about us here: • Redgate Software – Culture, • RepVue As a Senior Software Engineer, you'll be part of a small, cross-functional team that typically includes a Tech Lead, Lead Software Engineer, Product Designer, Product Manager, and 4–5 software engineers. Beyond your immediate team, you'll benefit from the support of the Group Engineering Manager—who oversees delivery, people, and processes across the group—an architect who provides technical direction at the product level, and a coaching function to help you get unblocked. This Senior Software Engineer role is for one of the teams working on Redgate Monitor, our flagship monitoring solution. Redgate Monitor is a widely used tool that helps organisations proactively monitor, diagnose, and optimise their database environments. As part of the Monitor team, you’ll contribute to the ongoing evolution of a mature, high-impact product. You’ll have the opportunity to influence architectural decisions, improve system performance, and deliver features that directly benefit thousands of customers worldwide. As a Senior Software Engineer, you are expected to demonstrate both breadth and depth of technical expertise. You will confidently solve complex problems with clean, simple solutions, lead and contribute to large, challenging projects, and act as a technical influencer within your team. In addition to championing best practices, you will proactively drive improvements in processes, tooling, and architecture that benefit the wider engineering organisation. Beyond technical skills, a key part of the senior role is elevating others. This includes mentoring, coaching, teaching, and sharing your expertise through conversations, documentation, and technical talks. You act as a force multiplier, raising the technical abilities of your teammates and improving the engineering environment for all. With a growth mindset, you will actively foster a culture of continuous learning, collaboration, and psychological safety. • Designing, building and testing world‑class software, with a focus on scalable, resilient, and secure systems., • Providing guidance and direction to the team when faced with software design and implementation challenges, owning the toughest and most ambiguous technical problems., • Writing well‑tested code and maintaining high standards for code quality, system design, and testing., • Taking part in reviews of your own and other developers’ code, offering specific, actionable feedback on code, designs, and behaviours that helps others., • Collaborating with the team to ensure the product is of high quality., • Working closely with the user experience specialists to design, implement and improve the product’s user experience., • Working closely with the team to ensure the product is supported by solid technical documentation, and API specifications., • Identifying tools and techniques to improve software engineering, sharing these with the rest of Redgate and beyond., • Building strong relationships with stakeholders, fostering a positive environment., • Understanding how the product or systems owned by your team solve customer problems and add value, prioritising engineering work based on its potential to provide value to customers., • Taking ownership of significant projects from start to finish, ensuring delivery of tangible business value through strategic planning and predictable execution., • You actively engage with users to understand how the product is used in the real world and bring customer empathy into your engineering decisions., • You’re an expert in modern .NET/ C#., • You can design and build scalable, resilient, and secure systems, considering trade‑offs and future implications., • You have a bias for simplicity and maintainability in the code you write and the products you build., • You practice unit testing, perform code reviews and constantly communicate to ensure the best outcome. Quality is important to you., • You’re an excellent communicator with good attention to detail, able to communicate effectively both in person and in writing., • You thrive in a highly collaborative team, building strong relationships and fostering a positive environment., • You’re flexible and willing to work on all parts of the product, learning new technologies as necessary., • You have superb software design skills., • You have experience in an agile development environment., • You’re enthusiastic about engaging with customers as necessary to create a great product., • You are driven by continuous improvement and foster a growth mindset within the team., • You have experience working with SQL Server, PostgreSQL, or Oracle., • You have experience developing applications using React., • You have experience working with Agile, Lean and/or Continuous Delivery approaches and best practices, such as Continuous Integration, TDD, BDD, Infrastructure as Code etc. We believe diverse teams are better at solving problems and fostering a creative culture. We aim to offer a workplace where everyone feels a sense of belonging and can thrive. • Recruitment & retention: hiring and retaining diverse talent., • Authenticity & belonging: promoting inclusive language and behaviours., • Growth: supporting personal and professional development. We support DEIB through our inclusion forum (Belong at Redgate) and regular DEIB events. Redgate is an equal opportunity employer, welcoming applications from all backgrounds. If you need accommodation, please let us know via our application process or email . Learn more about our commitment to diversity on our diversity page. While we outline the qualities we typically seek, we recognise that you may possess additional attributes and skills that could make you an excellent fit for our team. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #J-18808-Ljbffr

CircuitHub is reshaping electronics manufacturing with The Grid, a factory-scale robotics platform that makes small-batch, high-mix electronics assembly radically more efficient. Think semiconductor-fab precision applied to the chaotic world of prototyping and low-volume production: a 10x throughput improvement in one of the world's most foundational industries. CircuitHub is reshaping electronics manufacturing with The Grid, a factory-scale robotics platform that makes small-batch, high-mix electronics assembly radically more efficient. Think semiconductor-fab precision applied to the chaotic world of prototyping and low-volume production: a 10x throughput improvement in one of the world's most foundational industries. We've raised $45M from top-tier investors including Plural, Y Combinator and Google Ventures, and we're already profitable. Our customers include a major EV maker, a top AI lab and many of the worlds largest companies. The Grid isn't a prototype. It's live, scaling fast and delivering real revenue, and we're building the team that will scale it further. • Architect the robot operating system. Design the core abstractions: how robots, cameras, tools and jobs are modelled, how work is planned and dispatched, how state is shared and how failures are handled. Decide what belongs in Python and what needs Rust., • Bring in new vision. Integrate novel computer vision algorithms into the control loop, from finding and centring parts to checking every pick and placement, and make them fast and reliable enough for production., • Build agentic robotics. Put large models to work in the robots themselves: programming a new part from its datasheet, judging a pick from a camera image, diagnosing a fault and recovering from it, with evals that prove it works before it runs alone., • Move a fleet. Route dozens of movers at once without collisions or deadlocks, and coordinate gantries, printers and ovens around them., • Bridge to real time. Design clean interfaces between high-level planning and the real-time controllers driving the motors., • Make it observable. Simulation, tracing and replay, so every change is proven before it reaches the factory and every failure can be explained., • You've worked on, and ideally architected, a large-scale robot code base that ran on real hardware in production., • Strong software engineering in Python and Rust (or C++ and a willingness to move to Rust). You care about types, testing, concurrency and clear architecture., • Experience with some of: motion or path planning, multi-robot coordination, controls, perception, scheduling., • Hands-on experience applying large models (LLMs or vision-language models) to robotics, or a strong drive to., • You use coding agents to move faster and take full ownership of what they produce., • You're happy to visit our factories in the US and UK to see your code run., • Robot software: Python and Rust, • Vision and models: OpenCV, PyTorch, ONNX Runtime, Claude and OpenAI APIs, • Planning: multi-agent path-finding, OR-Tools, • Data and observability: PostgreSQL, OpenTelemetry, ClickHouse, • Agents: Claude Code and Codex throughout UK £80k–£125k • US $125k–$250k, depending on experience, plus equity. Compensation Range: £80K - £125K #J-18808-Ljbffr

Senior Staff Architect Job Description Why the Architecture team? Join our Architecture team and help shape the future of Altium's products. The team works across Altium Designer, Altium 365 and Octopart; in this role you'll focus on Altium 365 and the solutions that partners build on top of it. Altium 365 is a complex cloud platform, with technology ranging from microservices and event-driven data processing to object stores, relational and key-value databases and search engines, delivered both as SaaS and on-prem through Altium Enterprise Server. We work cross-functionally with engineering teams across the organisation, its locations and languages. Teams make architecture decisions through an architecture advice process: we advise, connect people, own cross-cutting decisions and promote consistent architectural patterns across the platform. The role gives you a view of the whole of Altium's technology, and the chance to leave a lasting mark on how architecture is practised at Altium. What makes this role different + From product to platform. Altium 365 is opening up to customers, partners, developers and AI agents. TheAltium Developer Center () is the focal point: one place to find our APIs, SDKs, MCP servers and developer tools. + A real solution built on it .Renesas 365 (en/renesas365) is the first vertical solution built on Altium 365, and you'll shape the architecture for the ones that follow. + A domain worth modelling • Electronics design data links requirements, components, schematics, layouts, supply chain and manufacturing. Model-first, domain-driven design is at the core of this role. + One platform, many environments, • Four commercial regions, GovCloud, China and on-prem, all served by the same platform. + AI agents on engineering data, • You'll shape how agents work with design data through MCP, with the security and access control that enterprise customers need. + Influence, hands on, • You'll shape the platform's direction and how architecture decisions are made, and still prototype and work in the code. About the role As Senior Staff Architect for Altium 365, you'll own the big picture of how the platform is structured and how it evolves. You'll drive a model-first, domain-driven approach to design, so teams agree on the domain before the implementation. You will: + Lead domain-driven design: facilitate domain modelling, define bounded contexts and maintain shared domain models. + Define the target architecture for Altium 365 and keep it consistent across every deployment. + Guide the platform's openness: API strategy, integrations, the Developer Center, and the architecture that lets partners build vertical solutions on top. + Shape how AI agents work with Altium data: MCP, authentication, scopes and security. + Advise teams through the architecture advice process, and own cross-cutting decisions and their ADRs. + Build prototypes and proofs of concept to test ideas before teams commit to them. + Review designs and mentor engineers. This is a hands-on role: expect deep dives into a large codebase and complex production environments. Qualifications Essential skills + 10+ years in software development, with substantial experience as an architect of a large cloud platform. + Practical experience with domain-driven design and model-first approaches, including introducing them to other teams. + Strong C#/.NET, or another modern language and willingness to work in C#, and the ability to prototype quickly. + Experience building multi-tenant, multi-region SaaS products. + Strong understanding of distributed systems and data storage. + Strong understanding and practical experience with OAuth/OIDC. + Good API design judgement: versioning, compatibility and schema evolution. + Ability to quickly grasp complex systems and work with incomplete information. + Excellent written and verbal communication, and experience influencing teams across geographies and languages. + Hands-on use of AI coding tools, with the discipline to review their output. Nice to have + Experience with GraphQL, especially federation. + Experience with MCP, LLM-based tools or agentic systems. + Experience with government/sovereign cloud or China deployments. + Experience delivering a product as both SaaS and on-prem. + Experience with AWS, Azure or GCP, and Kubernetes. + Experience with EDA, PCB design tools, or the electronics industry. Additional Information Benefits: Private health insurance including dental coverage Pension scheme with company match up to 9% nilo.health, mental health and wellbeing support Remote working abroad program Professional development support and resources Employee referral program 28 days' holiday + public holidays and special leave Enhanced family and special leave Free lunch, snacks, and drinks in the office Electric car charging stations, free office parking, bicycle, and scooter storage Altium Limited, a part of the Renesas Group and headquartered in San Diego, California, is a global software company accelerating the pace of electronics innovation. We are redefining electronic product creation in a software-defined world with our industry-first cloud-based platform that unites every stakeholder and phase of electronics development. From startups to world's technology giants, our digital platforms give more power to PCB designers, supply chain, and manufacturing, letting them collaborate as never before. At Altium, our teams are empowered to innovate, collaborate globally, and help create the future of electronics development. We believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process. 1. Department Manufacturing 2. Remote No 3. Location Cambridge Requisition ID 20034903_2026-10-16 #J-18808-Ljbffr

Join our Architecture team and help shape the future of Altium's products. The team works across Altium Designer, Altium 365 and Octopart; in this role you'll focus on Altium 365 and the solutions that partners build on top of it. Altium 365 is a complex cloud platform, with technology ranging from microservices and event-driven data processing to object stores, relational and key-value databases and search engines, delivered both as SaaS and on-prem through Altium Enterprise Server. We work cross-functionally with engineering teams across the organisation, its locations and languages. Teams make architecture decisions through an architecture advice process: we advise, connect people, own cross-cutting decisions and promote consistent architectural patterns across the platform. The role gives you a view of the whole of Altium's technology, and the chance to leave a lasting mark on how architecture is practised at Altium. As Senior Staff Architect for Altium 365, you'll own the big picture of how the platform is structured and how it evolves. You'll drive a model-first, domain-driven approach to design, so teams agree on the domain before the implementation. • Lead domain-driven design: facilitate domain modelling, define bounded contexts and maintain shared domain models., • Define the target architecture for Altium 365 and keep it consistent across every deployment., • Guide the platform's openness: API strategy, integrations, the Developer Center, and the architecture that lets partners build vertical solutions on top., • Shape how AI agents work with Altium data: MCP, authentication, scopes and security., • Advise teams through the architecture advice process, and own cross-cutting decisions and their ADRs., • Build prototypes and proofs of concept to test ideas before teams commit to them., • Review designs and mentor engineers. This is a hands-on role: expect deep dives into a large codebase and complex production environments. • 10+ years in software development, with substantial experience as an architect of a large cloud platform., • Practical experience with domain-driven design and model-first approaches, including introducing them to other teams., • Strong C#/.NET, or another modern language and willingness to work in C#, and the ability to prototype quickly., • Experience building multi-tenant, multi-region SaaS products., • Strong understanding of distributed systems and data storage., • Strong understanding and practical experience with OAuth/OIDC., • Good API design judgement: versioning, compatibility and schema evolution., • Ability to quickly grasp complex systems and work with incomplete information., • Excellent written and verbal communication, and experience influencing teams across geographies and languages., • Hands-on use of AI coding tools, with the discipline to review their output., • Experience with GraphQL, especially federation., • Experience with MCP, LLM-based tools or agentic systems., • Experience with government/sovereign cloud or China deployments., • Experience delivering a product as both SaaS and on-prem., • Experience with AWS, Azure or GCP, and Kubernetes., • Experience with EDA, PCB design tools, or the electronics industry., • Private health insurance including dental coverage, • Pension scheme with company match up to 9%, • nilo.health, mental health and wellbeing support, • Remote working abroad program, • Professional development support and resources, • Employee referral program, • 28 days' holiday + public holidays and special leave, • Enhanced family and special leave, • Free lunch, snacks, and drinks in the office, • Electric car charging stations, free office parking, bicycle, and scooter storage Altium Limited, a part of the Renesas Group and headquartered in San Diego, California, is a global software company accelerating the pace of electronics innovation. We are redefining electronic product creation in a software-defined world with our industry-first cloud-based platform that unites every stakeholder and phase ofelectronicsdevelopment. From startups to world’s technology giants,our digital platforms give more power to PCB designers, supply chain, and manufacturing, letting them collaborate as never before. At Altium, our teams are empowered to innovate, collaborate globally, and help create the future of electronics development. We believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process. #J-18808-Ljbffr

Build the software that validates Graphcore’s machine learning stack, from frameworks to AI accelerator hardware. You’ll design production-quality test infrastructure that engineers can extend, maintain and rely on as Graphcore’s ML software grows. Your work will help teams deliver reliable products, with clear evidence of numerical accuracy and performance across the stack. You’ll architect scalable test frameworks and build CI/CD pipelines that run across simulators, emulators and physical hardware. You’ll create representative ML workloads, analyse their execution and turn the results into practical improvements to testing and tooling. This role gives you scope to shape software architecture and developer experience, not just add tests to existing systems. You’ll deepen your understanding of the AI compute stack while solving engineering problems that connect software design with hardware behaviour. Graphcore’s ML QA engineers build automation, work with industry-standard frameworks and models, and contribute to upstream open-source projects. You’ll work across software teams, using code and design reviews to strengthen quality, security and maintainability. You’ll use workload results to challenge assumptions and guide technical decisions about how Graphcore tests its ML stack. You’ll own improvements, act quickly on testing gaps and mentor junior engineers to raise the team’s technical standards. • Strong Python skills, demonstrated through designing, developing and maintaining production-quality software., • Software design and architecture skills for large, complex codebases, with a focus on testability and long-term maintainability., • Experience building CI/CD pipelines and automated testing systems in Linux environments., • Familiarity with C or C++, including the ability to read, debug and reason about low-level code., • The ability to mentor junior engineers and influence engineering practices through constructive feedback., • A self-directed approach to solving complex problems, identifying gaps and driving improvements. While we have outlined a set of requirements, we value transferable skills and diverse experiences. We also welcome engineers returning to the profession after a career break, including through returnship routes. • Flexible working: Balance your work and personal life with greater flexibility, • Generous leave: Take time to rest, recharge and enjoy life outside of work, • Retirement planning support: Up to 5% matched pension, • Phantom equity: Share in Graphcore’s success, • Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day, • Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones, • Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice, • Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover, • Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role. 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 brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. #J-18808-Ljbffr

CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress. While nature took billions of years to perfect molecules, we are harnessing AI to unlock trillion-dollar materials breakthroughs in months, not millennia. Our founding team is the most cited in the world, comprised of world-class researchers in AI, chemistry and engineering. We are working on some of the hardest and most important challenges including energy, clean water, the future of compute, and carbon capture, and this is just the start of what our 'search engine' for next-generation materials will unlock. We invite you to be part of a diverse, innovative team at the intersection of AI and materials science, working to create impactful partnerships that drive innovation, scalability, and industry collaboration. This work matters. Your work matters. We’re on the cusp of the on-demand materials era. Join us. As we grow, we are seeking a Platform Engineer with strong Python coding, DevOps and cloud platform expertise to build and maintain the infrastructure that powers our ML research teams. You will be the architect of the systems that enable our researchers to train and deploy models at scale. In this role, you will build and maintain the ML infrastructure platform that empowers our AI researchers and materials scientists to conduct cutting-edge experiments. You will help to build and maintain the entire ML operations stack - from cloud architecture to deployment pipelines - ensuring our research teams can focus on science while you handle the systems. • Build the ML Infrastructure Platform: Design and implement a cloud-native platform on Kubernetes that enables researchers to easily train, evaluate, and deploy models without worrying about infrastructure complexity., • Own the MLOps Stack: Implement and maintain CI/CD pipelines, model registries, experiment tracking systems, and deployment automation - the full lifecycle of ML operations., • Scale Distributed ML Model Training: Build infrastructure to support distributed training across many GPUs, implementing solutions for data pipelines, checkpointing, and resource optimisation., • Platform Reliability: Ensure 99.9% uptime for our ML platform through monitoring, alerting, and automated recovery systems. Be the guardian of infrastructure stability., • Configuration Management: Use Kapitan to manage complex multi-environment Kubernetes configurations and ensure consistent deployments across dev, staging, and production., • Cost Optimisation: Implement resource management strategies to optimise cloud spending and detect inefficient usage while maximising computational throughput for our research teams., • Developer Experience: Create tools and abstractions that make it simple for researchers to go from experiment to production without deep infrastructure knowledge., • Interdisciplinary Collaboration: Partner closely with ML Researchers, Chemists, Materials Scientists and Software Engineers to understand their needs, and to build the infrastructure for groundbreaking projects, • You are someone who gets excited about the opportunity to enable scientists to work on world changing challenges in this domain, with a personal interest in the potential applications of the technology that Cusp is building., • You’re a builder of tools and infrastructure who enjoys making life as easy as possible for the teams. As part of your interest in this area, you stay up to date with the latest relevant technologies, tools, and open source projects., • You are a seasoned engineer with deep expertise in building and maintaining ML infrastructure (not model development), ideally in start-up environments. We need you to be able to hit the ground running and work autonomously as a subject matter expert, providing input and guidance around best practice where appropriate., • You bring deep experience with ML workloads on Kubernetes and multi-cloud platforms (AWS, GCP, neoclouds)., • You have strong Python and/or Go programming skills for infrastructure automation - not just scripting., • Expert-level proficiency in Infrastructure as Code (IaC) using Terraform, Helm, Kapitan, and GitOps workflows., • Experience operating distributed ML platforms for JAX and/or PyTorch (Tensorflow would be less relevant)., • You will also need to have GPU infrastructure experience, specifically managing GPU clusters and performance optimisation - Previous experience as a Software Engineer before moving into DevOps / MLOps / ML Infrastructure, or at least writing code regularly (at work and/or in your spare time), as this should equip you with the kind of coding skills we’re looking for., • Experience using our tech stack (Flyte, Kapitan, Pants) or similar tools, • Experience with HPC environments and job schedulers (Slurm, PBS), • Knowledge of ML serving infrastructure (Triton, TorchServe, KServe), • Familiarity with scientific computing workflows and data management, • Experience with multi-tenant ML platforms, • Background in supporting research teams (understanding their unique needs vs. production ML), • A competitive salary: We value and reward impact and growth, • Equity in CuspAI: You have a stake in the success of the company, • Time off to stay fresh: 28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US), in addition to local public holidays, • ‘Gold Standard’ parental leave: 26 weeks (primary caregiver) and 12 weeks (secondary caregiver) at full pay, • we look after you and your family while we work on the most important materials discovery problems together, • Professional development budget: We invest in your career development so you can stay up to date with the latest industry knowledge or add to your skills to increase impact and growth, • Solve meaningful problems: See how your work has a direct impact on advancing materials science and s #J-18808-Ljbffr

At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state-of-the-art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients—at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML-related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world’s leading biopharma companies, translating cutting‑edge AI research into real scientific and business impact About the Role: As an Applied AI Engineer, you will be embedded within cross-functional teams to deliver practical, high-impact AI/ML solutions aligned with GSK’s R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI-powered tools that accelerate drug discovery, improve decision‑making, and enable responsible use of AI across the enterprise. This role is hands‑on and consultative in equal measure. You will evaluate use‑case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK’s approved. Key Responsibilities: • Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts., • Co-design prototypes and proof-of-concepts (PoCs) with product and domain teams to validate ideas quickly and de-risk larger investments., • Translate complex stakeholder requirements into well-scoped technical solutions with clear success criteria and handover plans., • Build, train, evaluate, and iterate on ML models for real‑world scientific and business problems—including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling., • Package trained models into production‑ready services (APIs, containerized deployments) using GSK’s cloud infrastructure (GCP/AWS/Azure)., • Develop and maintain agentic AI systems, multi‑agent architectures, and LLM‑based tools where appropriate., • Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks., • Embed privacy, ethics, and regulatory considerations into every engagement from the outset., • Run workshops, seminars, and hands‑on training sessions to increase AI literacy across the organization., • Embed within business/research units for time‑limited engagements (typically 6–8 weeks) to accelerate delivery and transfer skills., • Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Basic Qualifications: • Bachelor’s degree in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer., • 2+ years of professional experience developing and deploying machine learning models (with a Bachelor’s); 2+ years with a Master’s or PhD., • Expertise in Python, including ML/data science libraries (PyTorch, TensorFlow, JAX, scikit‑learn, pandas, numpy)., • Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes)., • Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking., • Experience working in cross‑functional teams and communicating technical concepts to non‑technical stakeholders., • Experience working in healthcare, pharma, or biological domains. Preferred Qualifications: • Experience in pharma, biotech, or life sciences—particularly in drug discovery, genomics, clinical data, or biological data analysis., • Hands‑on experience building LLM‑based applications, agentic AI systems, RAG pipelines, or multi‑agent architectures (e.g., LangChain, LangGraph, AutoGen)., • Experience with knowledge graph construction, causal inference, or large perturbation models., • Familiarity with single-cell RNA‑seq, spatial transcriptomics, CRISPR assay data, or other high‑dimensional biological datasets., • Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows., • Contributions to open‑source ML/AI projects or peer‑reviewed publications in applied ML., • Background or demonstrated interest in responsible AI, AI ethics, or model governance., • Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation., • Experience evaluating and integrating third‑party AI/ML vendor tools and platforms. #LI-GSK #GSKAIML Skills Artificial Intelligence (AI), Artificial Intelligence Ethics, Artificial Neural Networks (ANNS), Classification Models, Deep Learning, Intelligent Automation (IA), Machine Learning (ML), Model Evaluation, Model Validation, Predictive Modeling, Probabilistic Modeling, Python (Programming Language), Test Documentation • If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $136,125 to $226,875. The US salary ranges take into account a number of factors including work location within the US market, the candidate’s skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at - GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at #J-18808-Ljbffr

Description Amazon Web Services (AWS) is growing its team of Solutions Architects focused on Education and Research customers within the UK Public Sector. In this role, you will act as a trusted technical advisor, helping universities, research institutions, and other public sector organisations adopt cloud technologies that advance their missions. You will build executive-level technical relationships, serve as the voice of the customer back into AWS, and help these organisations see what is possible with cloud computing. As our Education and Research customer base expands, we need a Solutions Architect who is genuinely curious about emerging technology and motivated to translate that knowledge into practical, well-architected solutions. You will work alongside a supportive Public Sector team, partnering with sales, business development, and specialist teams to guide customers through their cloud journey — from early exploration through production workloads. • Own the technical relationship with Education and Research customers, providing recommendations on architecture, security, cost optimisation, performance, reliability, and operational efficiency., • Build and maintain executive-level technical relationships, understanding each customer's strategic priorities and proactively identifying opportunities where AWS can accelerate their goals., • Advocate on behalf of customers internally by translating their feedback into technical requirements for AWS engineering teams and contributing to service improvements., • Design cloud-native reference architectures and create technical content such as white papers, blog posts, code samples, and workshops to share best practices with customers and the broader Solutions Architect community., • Collaborate with specialist teams across AWS to bring the right expertise into customer engagements and help customers explore new use cases, including generative AI and data analytics. You might start your morning reviewing a customer's architecture proposal, preparing recommendations that balance performance and cost. By midday, you could be leading a deep-dive session with a customer's engineering team, walking through design patterns for a migration or new workload. In the afternoon, you may join a peer design review with fellow Solutions Architects, share insights from a recent engagement, or contribute to a workshop you are building. You will regularly connect with specialists across AWS to bring the right expertise to each customer conversation. This role sits within our UK Public Sector team. The team has continued to grow, and we are proud to have welcomed people from different backgrounds who bring unique experiences to our work and to our customers. Our tenured Solutions Architects act as mentors and share their knowledge and experience across the group. We are all passionate about the impact we have on people across the UK, and we care deeply about our customers' missions. We enjoy working together in an environment that is supportive, inclusive, and fun. We respect that everyone has responsibilities and interests outside of work. Our roles afford the flexibility to do your best at work and at home. • Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics)., • Experience in design, implementation, or consulting in applications and infrastructures, • Experience in IT development or implementation/consulting in the software or Internet industries, • Experience working with AWS technologies from a dev/ops perspective Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - AWS EMEA SARL (UK Branch) Job ID: A10602286 #J-18808-Ljbffr

What Cognite is: Relentless to achieve Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here. Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future. As a Strategic Account Manager, you will be the primary architect of Cognite’s relationship with our most high-value global Life Sciences and Pharmaceutical accounts. You won’t just manage a portfolio; you will act as a “CEO of the account,” fostering deep strategic partnerships and driving aggressive growth through a value-first mindset. • Strategic Growth: Develop and execute comprehensive account strategies to drive value realization, double-digit ARR growth, and new opportunity capture., • Executive Sponsorship: Cultivate multi-level relationships across the client organization, including manufacturing, quality, IT, and digital leadership, acting as the primary point of contact and lead advocate for their success., • Team Orchestration: Lead a cross-functional “extended territory team” (including Tech Sales, Value Delivery, Product, Marketing, Partners) to ensure seamless execution., • Sales Excellence: Rigorously apply value-selling methodologies, specifically Command of the Message and MEDDPICC, to maintain high-quality sales cycles., • Value Realization: Master Cognite’s solution suite to articulate how our technology uniquely solves complex manufacturing and operational challenges in regulated environments and drives ROI., • Commercial Negotiation: Lead complex negotiations for large enterprise contracts, focusing on favorable business terms and value-based pricing., • Operational Rigor: Maintain precise forecasts, pipeline data, and detailed account/close plans to provide actionable insights to corporate leadership., • Presence: Engage directly with clients on-site (approx. 50% travel)., • Experience: 5+ years of direct enterprise software/SaaS sales experience, consistently exceeding quotas in high-growth environments., • Domain Expertise: Deep understanding of the Life Sciences, Pharmaceutical, or Biotech manufacturing industries, including the regulatory and quality context (e.g., GxP, validation requirements) that shapes how these customers buy and adopt technology., • Technical Literacy: High fluency in SaaS, Cloud, Big Data, and Generative AI; you should be comfortable discussing ARR, NRR, and TCV, and manage subscription pricing models and large service programs., • Political Savvy: Strong relationship-building skills, focused on a high level of customer service; you can read and navigate organizational politics, including the interplay between Operations, Quality, and IT., • Mindset: A blend of high-energy ambition and “coachability.” You thrive in ambiguity and are proactive in resolving issues with minimal supervision., • Analytical Rigor: Skilled in building business cases and navigating complex Excel/PowerPoint deliverables., • Bachelor’s degree (Master’s preferred)., • Proven track record of selling to C-Level stakeholders across both Business and IT., • Excellent written and verbal communication skills, including good presentation skills., • Previous training in Command of the Message or MEDDPICC is highly preferred., • Proficient in Salesforce and modern sales engagement stacks., • Impact 2025, • Cognite's Industrial AI: Moonshot, • We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi. Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment. #J-18808-Ljbffr

Job Requisition ID JR2024411 Job Category Sales Time Type Full time NVIDIA has been redefining computer graphics and accelerated computing for three decades. Today, we are tapping into the unlimited potential of AI to define the next era of computing. Doing what has never been done before takes vision, innovation, and exceptional talent. As an NVIDIAN, you will be immersed in a diverse, supportive environment where everyone is encouraged to do your best work and make a lasting impact on the world. We are looking for a Solutions Architect in the Greater London area to work with academia and research partners. Solutions Architects are the primary technical contacts for our customers and engage deeply with researchers and application developers to drive the adoption of NVIDIA technology. We seek an individual who combines an intricate understanding of modern AI and HPC research workloads with expertise in accelerated computing and architecture. • Partner directly with leading research labs, researchers, and university faculty as a trusted technical advisor: develop a keen understanding of their scientific goals and drive joint research projects at supercomputing scale., • Identify and accelerate high-impact workloads by integrating NVIDIA's frameworks, libraries, and core software stack into research projects, and help researchers amplify their impact through publications, conference presentations, and technical content., • Advocate for accelerated computing and Deep Learning, and deliver hands-on trainings, workshops, lectures, and demonstrations across NVIDIA's platforms, and mentor power users to become NVIDIA champions., • Track emerging research trends and turn gaps between researcher needs and NVIDIA's o erings into prototypical solutions and direct feedback to NVIDIA Engineering., • Maintain deep expertise in your domain while staying versatile across NVIDIA's full platform: GPUs, CPUs, networking, and software, • A graduate degree from a leading university in a STEM related discipline., • 5+ years of hands-on experience running the large language model lifecycle across multi-node systems: training, fine-tuning, inference, serving, and/or agentic workflows., • Strong collaboration and communication skills, with the ability to build relationships with academic and research stakeholders, and to communicate complex ideas clearly to both expert and non-expert audiences., • Action oriented, analytical, self-motivated, and a passionate learner, with excellent organization skills to work in a heavily multi-tasked environment., • Fluent in English, both oral and written, and comfortable working in Python., • A PhD from a leading university in a STEM related discipline, with 3+ years of research on large language models or foundation models and their applications., • A track record of thought leadership: high-impact publications, talks at academic conferences and workshops, as well as good understanding of scientific policy engagement, grant processes, or national/European research program structures., • Experience with NVIDIA's AI software stack, powered by CUDA and CUDA-X libraries, e.g. NVIDIA AI Enterprise, NeMo Framework, Megatron Bridge, NIM, TensorRT-LLM, Dynamo, NeMo Agent Toolkit, and Triton Inference Server, as well as the Nemotron open-model methodology. As a Solutions Architect, there is travel involved (30% of the working time), as often the best way to figure things out is a face to-face meeting, but the job is not life on the road. We make heavy use of conferencing tools, and you are empowered to figure out how to get the job done and do what it takes to make our customers successful. #J-18808-Ljbffr

Build the software that validates Graphcore’s machine learning stack, from frameworks to AI accelerator hardware. You’ll design production-quality test infrastructure that engineers can extend, maintain and rely on as Graphcore’s ML software grows. Your work will help teams deliver reliable products, with clear evidence of numerical accuracy and performance across the stack.You’ll architect scalable test frameworks and build CI/CD pipelines that run across simulators, emulators and physical hardware. You’ll create representative ML workloads, analyse their execution and turn the results into practical improvements to testing and tooling. This role gives you scope to shape software architecture and developer experience, not just add tests to existing systems. You’ll deepen your understanding of the AI compute stack while solving engineering problems that connect software design with hardware behaviour. Graphcore’s ML QA engineers build automation, work with industry-standard frameworks and models, and contribute to upstream open-source projects. You’ll work across software teams, using code and design reviews to strengthen quality, security and maintainability. You’ll use workload results to challenge assumptions and guide technical decisions about how Graphcore tests its ML stack. You’ll own improvements, act quickly on testing gaps and mentor junior engineers to raise the team’s technical standards. • Strong Python skills, demonstrated through designing, developing and maintaining production-quality software., • Software design and architecture skills for large, complex codebases, with a focus on testability and long-term maintainability., • Experience building CI/CD pipelines and automated testing systems in Linux environments., • Familiarity with C or C++, including the ability to read, debug and reason about low-level code., • The ability to mentor junior engineers and influence engineering practices through constructive feedback., • A self-directed approach to solving complex problems, identifying gaps and driving improvements. While we have outlined a set of requirements, we value transferable skills and diverse experiences. We also welcome engineers returning to the profession after a career break, including through returnship routes. • Flexible working: Balance your work and personal life with greater flexibility, • Generous leave: Take time to rest, recharge and enjoy life outside of work, • Retirement planning support: Up to 5% matched pension, • Phantom equity: Share in Graphcore’s success, • Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day, • Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones, • Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice, • Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover, • Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role. 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 brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. We take pride in our commitment to creating an inclusive and diverse workplace. As part of our recruitment process, we ask for confidential diversity data from all applicants. This data will be anonymised so that no personal identification information will be collected, and is retained for statistical purposes only and is not attached to your application. Your responses to the following three questions will remain confidential and will not impact or be used in any way in regards to your application. We are only using this data to improve our hiring process to be inclusive of all diversity backgrounds. #J-18808-Ljbffr

Join us at Entrust. We’re shaping the future of identity‑centric security solutions through innovative, scalable technologies. Our global workplace empowers collaboration and career growth while building solutions that keep the world moving safely. We are seeking an experienced and passionate Cloud Engineer to manage our AWS cloud infrastructure. You will design, implement, and maintain a robust and scalable environment that supports our microservices‑based applications. This role requires deep expertise in AWS services, containerization, Kubernetes, and Infrastructure as Code (IaC). • 8+ years of experience in IT infrastructure or a related field, with at least 3+ years in AWS cloud environments., • Deep understanding of Kubernetes architecture, concepts, and resource management with respect to AWS EKS clusters., • Strong knowledge of AWS core services such as EC2, VPC, S3, IAM, and CloudWatch., • Experience configuring and maintaining SPLUNK and Datadog., • Extensive experience with IaC using Terraform or OpenTofu., • Hands‑on experience managing and operating EKS cluster environments., • Experience with service‑mesh technologies like ISTIO and their integration with Kubernetes., • Solid understanding of CI/CD principles and experience with Jenkins or similar tools., • Strong scripting skills in Bash and Python for automation and troubleshooting., • Excellent communication and collaboration skills., • Experience implementing day‑2 operations (upgrades, backup & restore, cost optimization, etc.)., • Knowledge of container security best practices and tools., • Experience creating Helm charts., • Familiarity with monitoring and logging tools using OpenTelemetry., • Experience with disaster recovery and business continuity planning for cloud environments., • AWS certifications (e.g., Solutions Architect, SysOps Administrator, AWS Security, or DevOps Engineer) are a plus. We offer career growth through learning‑forward initiatives and challenging projects, flexible work arrangements (remote, hybrid, or on‑site), and a collaborative environment that values diversity, inclusion, and respect. Entrust is an EEO/AA/Disabled/Veterans employer. For Canadian roles, Entrust values diversity and inclusion and is committed to building a workforce with wide perspectives and innovative ideas. We welcome applications from qualified individuals of all backgrounds and strive to provide an accessible experience for candidates of all abilities. If you require an accommodation, contact . Recruiter: Jack Steib – #J-18808-Ljbffr

• Lumafield is looking for a technically sharp, customer-obsessed Solutions Architect to partner with our sales team and help manufacturers unlock value with cutting edge industrial CT, • You’ll be the technical lead in our sales cycles: digging into customers’ parts and inspection challenges, designing solutions that address tangible business problems and recommending the right combination of Neptune, Triton, and Voyager to solve their problems, • You’ll work across the pre-sale and post-sale process, with impact across the entire GTM organization, • This is a highly collaborative role at the intersection of engineering and GTM, • You’ll work closely with Account Executives to win deals, with Customer Success to set up deployments for success, and with Product and Engineering to bring the voice of the field back into what we build, • You’ll speak credibly with quality engineers about measurement and defects, and with plant managers and executives about throughput, cost, and ROI, • Serve as the technical lead alongside Account Executives across the sales cycle, • Run technical discovery with prospects to understand their parts, inspection workflows, quality challenges, and success criteria, • Design scan evaluations and proof-of-concepts on customer parts, and turn results into clear, decision-ready findings, • Assist in the creation of the business case, including ROI models and executive-ready reports that tie Lumafield’s capabilities to measurable customer outcomes, • Recommend the right solution across Neptune, Triton, and Voyager based on part geometry, materials, throughput needs, and deployment environment, • Deliver demos and technical presentations to audiences ranging from quality engineers to plant managers and executives, • Scope solution requirements (measurements, integrations, facility, IT/security) and hand off cleanly to Customer Success, • Feed structured field insights back to Product and Engineering on capability gaps, competitive losses, and emerging use cases, • Create reusable technical collateral, such as application notes, case studies, and demo datasets, that helps the sales team scale, • Health, vision, & dental coverage, • Paid parental leave, • Equity package for all full-time employees, • Flexible vacation policy, • Mental health & wellness perks, • Catered lunches & full kitchen, • Retirement savings, • Company & team events, • Financial wellness education, • Decisive with incomplete information, and known for following through, • Commercially minded; you can turn technical results into a defensible ROI story, • Can explain complex technology simply and credibly to both engineers and executives, • Organized enough to run multiple evaluations in parallel without dropping details, • Comfortable owning the technical win in complex, multi-stakeholder B2B sales cycles, • 3-5 years in a customer-facing technical role, such as solutions architect, sales engineer, or applications engineer, • Engineering background with hands-on exposure to quality, inspection, or product development, • Experience with industrial CT, metrology, or NDT (X-ray, ultrasonic, CMM), • Domain knowledge in automotive, aerospace, electronics, batteries, medical devices, or consumer products, • Experience selling capital equipment combined with software or SaaS, • Background in GD&T, failure analysis, or production quality systems (SPC, PPAP, FAI), • Scripting or data skills (Python, SQL) for building custom analyses or tooling, • Experience supporting production-line or international deployments #J-18808-Ljbffr

About Us: Forefront RF is a fabless semiconductor company developing breakthrough RF technology that radically simplifies RF front-end architectures for mobile and connected devices. Our long-term vision is to empower anyone to treat global connectivity as a commodity, effortlessly adding it to any device. We lead through innovation, solving our customers' toughest challenges, enabling them to stay ahead by pushing the boundaries of RF design. Location: Cambridge, UK Team: Engineering Job Type: Full-Time, Permanent About Us: Forefront RF is a fabless semiconductor company developing breakthrough RF technology that radically simplifies RF front-end architectures for mobile and connected devices. Our long-term vision is to empower anyone to treat global connectivity as a commodity, effortlessly adding it to any device. We lead through innovation, solving our customers' toughest challenges, enabling them to stay ahead by pushing the boundaries of RF design. Our Values: Our values are the quiet nudge that help us to be our best in every interaction. • One team: We are one team. Collaboration is at the heart of how we work - we listen, share, and build solutions together. We support one another, embrace challenges and fun, and celebrate collective success. Together with our stakeholders, we turn collaboration into outcomes that matter, • Innovation with intent: We operate at the forefront of technology, building innovative pathways to the future that meets real customer needs, • Solutions driven: We deliver effortless connectivity through innovative, manufacturable designs that solve real world challenges, • Customer focused: We act with integrity and hold ourselves accountable to deliver customer focused solutions. All decisions we make are guided by a deep commitment to meeting our customers' expectations, • Sustainable: We make responsible choices in design, supply chain, and operations, • We simplify where possible, reducing waste, and contributing to a more efficient and sustainable RF ecosystem Role Overview: We are seeking a skilled RF Lead Engineer to join our growing development team in Cambridge, UK. You will lead the detailed RF design, development, and delivery of RF subsystems within a defined system architecture. This role is hands-on and delivery-focused, combining deep RF technical expertise with team leadership, mentoring, and cross-functional collaboration. You will be responsible for ensuring RF designs meet performance, quality, and schedule requirements, working closely with the System Architect and other engineering disciplines. Key Responsibilities: RF Technical Leadership • Lead RF design activities across assigned projects in line with system-level requirements and architecture, • Own subsystem performance, implementation, and technical delivery, • Lead design reviews and provide technical approval for RF designs RF Design & Development • Design, simulate, and validate RF circuits and subsystems (e.g. LNAs, PAs, filters, Duplexers), • Translate system and architectural requirements into detailed RF designs, • Support RF trade-offs and optimisation within given architectural constraints Testing & Verification • Define and execute RF test plans and verification activities, • Analyse RF measurements including S-parameters, NF, phase noise, EVM, ACPR, and linearity, • Lead troubleshooting and root-cause analysis of RF performance issues Mentorship & Team Development • Provide technical guidance and mentoring to RF engineers, • Promote best practices in RF design, documentation, and verification, • Support skills development and knowledge sharing within the RF team Cross-Functional Collaboration • Work closely with the System Architect, and full multi-disciplinary team, • Provide RF input to project planning, risk management, and technical decision-making, • Support manufacturing, production test, and in-service support activities Requirements About you: You're excited by the opportunity to work with breakthrough technologies. You may thrive in this role if you have some or all the following: Education & experience: • Degree (or equivalent experience) in RF Engineering, Electronics, Physics, or a related field, • Strong hands-on experience in RF design across relevant frequency ranges, • Proven experience leading RF technical delivery on complex projects, • Solid understanding of RF theory, measurements, and practical implementation, • Experience using RF simulation and design tools (e.g. ADS, AWR, CST, HFSS), • Proficient with RF test equipment (VNAs, spectrum analysers, signal generators, power meters, etc.) People Skills: • Delivery-focused with strong technical judgement, • Proactive approach to problem-solving with a resilient attitude towards ambiguity., • Excellent problem-solving and analytical skills, • Strong communication and collaboration abilities, • Ability to work independently and as part of a team, • Attention to detail and commitment to producing high-quality output Benefits • Competitive salary and pension contributions, • Company Share Option Scheme, • 25 days holiday + bank holidays, • Weekly company lunches, • Flexible work hours and remote work options, • Private medical insurance, • Life assurance x 4, • Income protection, • Healthshield Cash plan, • Heka flexible benefits platform We believe in equal opportunities We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. #J-18808-Ljbffr

TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world's dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships. In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. We're looking for a Lead Software Platform Engineer working at the intersection of distributed systems and MLOps. You will own and scale our AI and data infrastructure as a product our customers build their science on, and that every other engineering team builds against. You will architect the cloud-based services and MLOps infrastructure that enable production-grade AI/ML workflows, working closely with Applied AI engineers, data engineers, and platform teams, and you will act as the technical design authority for how models, LLMs, and agents run in production. The work spans the model and prompt lifecycle, the evaluation and observability harness, the security and tenant boundaries around prompts and retrieval, and the cost and latency controls that keep production AI economically viable at scale. This is a highly impactful seat for an engineer who has shipped AI/ML infrastructure as a multi-tenant product rather than internal tooling. The model serving, MCP, and agent capabilities you build are consumed directly by scientists at the world's largest pharmaceutical companies, running against their own data under their compliance obligations. If that scope appeals to you, and you thrive on turning ambitious scalability and cost targets into concrete technical strategy inside a regulated environment, we'd love to talk to you. • Own the technical architecture of the AI/ML platform: the service and API surface our customers use to run models and agents against their own scientific data, and that Applied AI and data engineering teams build against internally., • Own the end-to-end model and prompt lifecycle across Databricks MLflow and AWS Bedrock, including registration, versioning, asset bundles, staged promotion, rollback, and multi-model serving., • Design the inference substrate for both real-time and batch AI workloads, including routing, batching, caching, concurrency control, GPU and accelerator capacity planning, handling of large binary inputs such as instrument images, and graceful degradation under load., • Integrate AI models and large language models (LLMs) into production systems using architectures like retrieval-augmented generation (RAG), and architect the agentic layer above them: tool and function calling, MCP-based tooling, and agent runtimes, deciding what belongs in the platform versus in the applications built on top of it., • Design security into the AI platform rather than leaving it to the applications above it, partnering with our security team on guardrails, prompt-injection and tool-abuse defenses, PII and PHI handling, and hard tenant data boundaries across prompts, retrieval, and tool calls., • Build the evaluation and quality infrastructure that makes AI shippable: offline and online eval harnesses, golden datasets, regression gates in CI, A/B and shadow deployment, and drift and hallucination detection in production., • Establish observability for the AI platform, including monitoring, alerting, logging, and distributed tracing, and set the SLI, SLO, and SLA model for systems whose outputs are probabilistic., • Design for reproducibility and lineage required in a validated pharma environment, with versioned data, code, prompts, and model artifacts, and an audit trail that can withstand customer and regulatory scrutiny., • Contribute to the infrastructure-as-code and deployment automation for the AI platform (CloudFormation, AWS CDK), partnering with the team that owns production deployments to support multi-tenant infrastructure, online upgrades, and on-demand compute allocation., • Own production readiness for the AI platform with Applied AI engineers, data engineers, and platform teams: the performance, reliability, and cost-efficiency of models in production, plus incident response and runbooks., • Act as SME and design authority across product and engineering. Lead design reviews, write the reference architectures and technical documentation others follow, and mentor senior and mid-level engineers on distributed systems and AI engineering practice., • Set technical direction on emerging AI infrastructure: evaluate new frameworks, serving runtimes, model providers, and data types, and make clear build-versus-buy decisions grounded in cost, risk, and scalability., • 10+ years of professional experience in software engineering and infrastructure engineering, with a proven track record of designing, building, and scaling distributed, cloud-native systems in production., • Demonstrated experience as a technical leader or architect, accountable for the key decisions on system design, scalability, performance, and cost optimization., • Experience designing security into a multi-tenant platform, including authorization boundaries between tenants and handling of sensitive data such as PII and PHI, with awareness of LLM-specific risks like prompt injection and tool abuse., • Extensive experience building and maintaining AI/ML infrastructure in production, including model deployment and lifecycle management, delivered as a multi-tenant product with external users rather than internal tooling for a single team. Candidates whose experience is limited to building pipelines for their own team will not be a fit., • Deep, hands-on experience taking LLM-based systems to production, including RAG architecture, retrieval and embedding design, prompt and model versioning, and tool or function calling. Not just prototyping with an SDK. We are looking for someone who has operated these systems under real traffic, real latency budgets, and real failure modes., • Expert-level coding skills in TypeScript and Python building robust APIs and backend services, with the judgment to critically evaluate AI-generated code for correctness, security, and architectural fit., • Production-level experience with a model registry and serving stack, ideally Databricks MLflow, including model registration, versioning, asset bundles, and serving workflows., • Experience treating AI evaluation as a release gate rather than post-hoc reporting, including eval harnesses, regression gates, and drift or quality monitoring for non-deterministic systems., • Proficiency in API-first design, including REST and OpenAPI specifications, designing APIs that are scalable, secure, versioned, and extensible., • Solid working knowledge of AWS and containerized workloads (e.g., Docker), and familiarity with infrastructure-as-code such as CloudFormation or CDK, with the ability to contribute to CI/CD pipelines and deployment automation., • Experience defining observability and SLI/SLO/SLA practice for production systems, including monitoring, alerting, and distributed tracing., • Ability to articulate ideas clearly to customers and cross-functional teams, influence technical direction on teams you do not manage, and mentor other engineers., • Familiarity with emerging LLM frameworks for advanced prompt orchestration and programmatic LLM pipelines., • Experience running agentic or multi-step orchestration in production, and with MCP as an integration surface for tooling and non-human identities., • Understanding of LLM cost monitoring, latency optimization, and usage analytics in production environments, including per-tenant cost attribution for tokens, GPU, and inference., • Experience with multimodal model inputs, including image and instrument data, and the throughput and cost implications of serving them at scale., • Experience with fine-tuning, distillation, or model optimization such as quantization, batching, or KV-cache strategy, to improve latency and cost., • Experience delivering ML or AI systems in a regulated or validated environment (GxP, 21 CFR Part 11, SOC 2), including computer system validation and audit readiness., • Background in scientific, life sciences, or laboratory data domains., • 100% employer-paid benefits for all eligible employees and immediate family members, • Unlimited paid time off (PTO), • 401K, • Flexible working arrangements - Remote work, • Company paid Life Insurance, LTD/STD, • A culture of continuous improvement where you can grow your career and get coaching, • The salary range for this position is $200K-$270K USD. The salary range posted reflects our target baseline for this role. Final compensation is determined by a thorough evaluation of factors including the candidate’s specific experience, localized market data, and internal team equity. We are not currently providing visa sponsorship for this position. #J-18808-Ljbffr

Are you looking for a unique opportunity to be a part of something great? Want to join a 17,000-member team that works on the technology that powers the world around us? Looking for an atmosphere of trust, empowerment, respect, diversity, and communication? How about an opportunity to own a piece of a multi-billion dollar (with a B!) global organization? We offer all that and more at Microchip Technology Inc. People come to work at Microchip because we help design the technology that runs the world. They stay because our culture supports their growth and stability. They are challenged and driven by an incredible array of products and solutions with unlimited career potential. Microchip’s nationally-recognized Leadership Passage Programs support career growth where we proudly enroll over a thousand people annually. We take pride in our commitment to employee development, values-based decision making, and strong sense of community, driven by our ; we affectionately refer to it as the and it’s won us countless awards for diversity and workplace excellence. Our company is built by dedicated team players who love to challenge the status quo; we did not achieve record revenue and over without a great team dedicated to empowering innovation. People like you. Visit our page to see what exciting opportunities and company await! The Wireless Solutions Group is seeking an experienced Architect to define the portfolio for 32-bit microcontroller-based Bluetooth, UWB, and Wi-Fi products. In this role, you will lead the architecture of next-generation wireless SoC solutions that balance high performance with low power consumption. You will provide technical leadership and work closely with marketing, applications, engineering teams, and external customers to gather requirements and develop peripheral and SoC architecture specifications. Success in this role requires strong cross functional collaboration, excellent communication skills, and the ability to thrive in a fast-paced, dynamic environment. Define the architecture of complex Bluetooth, UWB, and Wi-Fi SoC solutions, including core selection, memory subsystems, power management, security, and test features. Own peripheral architecture, including programming models, interfaces, feature sets, and detailed operational behaviour. Conduct feasibility studies and architectural trade-off analyses to define products that meet target market cost and feature requirements. Drive product innovation through creative thinking and differentiated solutions that strengthen market competitiveness. Present product vision, features, specifications, and cost considerations to leadership teams and customers to gain alignment and support. Define architectures and features that support functional safety (ISO 26262) and cybersecurity (ISO 21434, including TARA analysis). Contribute to SoC development from concept through tape-out by partnering with cross-functional teams across marketing, design, applications, verification, emulation, and product/test. Collaborate with firmware teams to ensure strong software support for wireless products. Work with IP vendors and internal stakeholders to align technical requirements and project roadmaps. Apply AI-driven and automation techniques to improve design quality, methodology, and efficiency, enabling faster cycle times and first-silicon success. Foster teamwork, collaboration across geographies, and an inclusive workplace culture. 15+ years of industry experience in wireless technology design and/or architecture roles. Bachelor’s degree in Computer Science, Engineering, or a related field. Proven expertise in microarchitecture, microcontroller development, and wireless product implementation. Strong knowledge of BLE, UWB, and Wi-Fi communication principles and standards. Deep familiarity with ARM and RISC core architectures. Solid understanding of low-power design and power/analog subsystems. Comprehensive understanding of the microcontroller development lifecycle, including marketing requirements, pre-silicon and post-silicon validation, and production testing. Proven track record of working with geographically distributed teams. Familiarity with functional safety (FuSa) and cybersecurity standards for embedded products. Preferred Skills and Experience: Master’s degree in computer engineering, electrical engineering, or a related field. Experience with industry-leading SoC EDA tools and flows. Knowledge of security features and related design principles. Background in validation methodologies, including debugging on FPGA and silicon IC boards. 0% - 25% #J-18808-Ljbffr

Robotics Engineer - Cambridge (Hybrid - 3 days per week in office) A UK-based deep defence-tech startup backed by Entrepreneur First is looking for a Senior ML Engineer to join their Core ML team in Cambridge. • Design multi-agent planning algorithms that decompose complex missions into coordinated high-level tasks, with clear hierarchical interfaces between strategic goals and robotic actions (using PDDL), • Develop software translating behavioral requests into executable commands across robotic platforms, while integrating diverse motion planners for heterogeneous robot teams (navigation stacks, manipulation planners like MoveIt), • Implement geometric reasoning and feasibility checks to ensure physically achievable actions, providing critical system feedback for adaptive mission responses, • Advanced degree in Robotics, Computer Science, or related engineering discipline, • Proven expertise across robotics planning spectrum (strategic task planning to motion control), • Background in reinforcement learning and automated planning (PDDL experience), • Deep ROS 2 expertise with planning ecosystems (Nav2, MoveIt frameworks), • Strong foundation in collision detection, path planning, and spatial algorithms, • Expert-level C++ and Python development skills, • Salary of £60,000-£90,000 dependent on experience, • Architect core systems that coordinate fleets of heterogeneous robots, • Collaborate with a talented team pushing the boundaries of autonomous robotics Apply now for immediate consideration! • Mid-Senior level, • Full-time, • Information Technology, • IT Services and IT Consulting #J-18808-Ljbffr

At Arm, we are looking for an experienced Senior Principal Software Architect to shape how applications and developer frameworks connect to Arm's AI acceleration hardware. Do you enjoy solving complex problems across the boundaries of AI, software and computer architecture? This role offers the opportunity to do exactly that! Our AI technologies span smartphones, laptops, automotive, IoT, robotics, drones and other edge markets. We work across the complete software and hardware stack. This includes emerging AI models and application use cases, frameworks, runtimes, compilers, compute platforms and accelerators. The role will help shape the architecture and technical direction of Arm’s AI software portfolio. It will identify future requirements and help developers take full advantage of current and future Arm platforms. A key part of the role is technical leadership and collaboration. This includes working with senior engineers and architects to develop, review and approve designs. Constructive challenge, thoughtful feedback and building alignment around important decisions are all essential. The successful candidate will act as a trusted technical authority, helping guide decisions across teams and organisational boundaries. The role also works across hardware and software teams. We aim to achieve effective hardware/software co-design and appropriate reuse across different stacks and markets. The role will also involve working with senior technologists and technical experts at Arm's customers and ecosystem partners. These relationships help us understand emerging requirements, exchange technical ideas and build alignment on future technologies. • Understanding emerging AI models, workloads and application use cases, and translating these into future software and hardware requirements., • Working across ecosystems including PyTorch, ExecuTorch, LiteRT and ONNX, plus associated compilers, runtimes and kernel libraries., • Evaluating emerging technologies and industry trends to understand their implications for Arm. We are looking for extensive experience in software architecture, systems software or hardware/software co-design. Deep knowledge ofcomputer and system architecture is essential. This should include processors, memorysystems, heterogeneous computing and hardware acceleration. Strong knowledge of modern AI models and workloads is also required. Candidates should understand the computational characteristics that determine performance on hardware. Familiarity with PyTorch, ExecuTorch, LiteRT, ONNX or ONNX Runtime is important. • Understanding of how AI workloads move through graphs, compilers, runtimes and kernels to hardware., • Strong C/C++ skills and the ability to engage directly with software implementations., • Excellent technical judgement when navigating complex and ambiguous problems. This means identifying what matters and bringing structure to uncertainty., • A strong professional network across the AI, semiconductor or software ecosystem. Experience building trusted relationships with customers, partners and industry peers is important., • Excellent communication and interpersonal skills. Listening, constructive challenge, consensus building and influencing across organisational boundaries are central to this role. We would particularly value experience with NPUs, GPUs, DSPs or other hardware accelerators. Knowledge of ML compiler technologies such as MLIR and LLVM would also be valuable. Other useful experience includes low-precision inference, LLMs and multimodal models, Android or Linux AI ecosystems, and embedded or edge computing. Experience working with open-source communities is also welcome. We offer the opportunity to influence AI technology across a huge range of Arm-powered devices and markets. Our teams bring together leading expertise in AI, compilers, systems and hardware. This is a chance to help shape how future AI workloads are deployed and accelerated across the Arm ecosystem! At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #J-18808-Ljbffr

We have an opportunity for a Principal Engineer in our AI & Algorithms department, working with a particular focus on our defence and security clients. You'll join a team of talented engineers and scientists designing, building and testing intelligent systems that require cutting edge algorithms. As one of the senior technical voices in the team, you'll be architecting the AI approach on projects, setting the technical bar for others, and helping shape the work we deliver. As well as hands-on engineering, you'll spend time with clients, using your expertise to win new projects as well as deliver them. You'll work in multidisciplinary teams that use our labs and computing resources to enable us to deliver ambitious projects. We have an opportunity for a Principal Engineer in our AI & Algorithms department, working with a particular focus on our defence and security clients. You'll join a team of talented engineers and scientists designing, building and testing intelligent systems that require cutting edge algorithms. As one of the senior technical voices in the team, you'll be architecting the AI approach on projects, setting the technical bar for others, and helping shape the work we deliver. As well as hands-on engineering, you'll spend time with clients, using your expertise to win new projects as well as deliver them. You'll work in multidisciplinary teams that use our labs and computing resources to enable us to deliver ambitious projects. Much of our defence and security work requires security clearance, so we ask for it up front. You won't work exclusively in that sector, but a genuine interest in it matters to us. • Designing and implementing cutting-edge AI solutions to our clients’ problems, such as agentic AI that can search for, interpret and analyse information as well as plan and act to achieve a goal., • Acting as technical lead and architect on our larger, more complex projects, owning the technical solution and the value it delivers to the client., • Setting technical direction and acting as technical reviewer across the department, with your opinion sought by colleagues., • Leading the development of proposals and costed work programmes, turning client problems into work we can win and deliver., • Driving internal capability and demonstrators that keep us at the leading edge and open up new conversations with clients., • Mentoring engineers and conducting technical interviews to help us recruit and grow strong people., • Contributing to how the department works, improving our processes and technical standards., • 5+ years’ experience designing and delivering cutting edge AI solutions, including experience delivering agentic AI systems., • Experience in assuring the quality of the output of AI systems and the technologies that help to achieve this., • Experience collaborating with subject matter experts to create systems that are built on deep and specialist domain understanding., • A strong undergraduate degree in a relevant technical subject, such as AI/machine learning, computer science, mathematics or physics., • Strong Python and software engineering judgement., • The ability to architect the technical approach on complex projects and to review the work of others, including working autonomously as the technical authority., • Experience mentoring and developing engineers., • Experience working with non-technical stakeholders for your work., • Interest in working directly with clients and contributing to proposals and sales conversations., • A genuine affinity for working in the defence and security sector. Because of where this role sits, holding (or being able to obtain) UK security clearance is essential. You must be eligible to obtain Security Check (SC) level security clearance (https://www.gov.uk/guidance/united-kingdom-security-vetting-applicant). You must be able to work in the UK without restrictions in accordance with UK National Law and be prepared to successfully undertake an appropriate level of UK National Security Vetting according to UK Government criteria. We offer a flexible approach to hybrid working, although some of the projects you will be working on will require full-time working in the office. Cambridge Consultants creates exciting and novel breakthroughs in technology and products. Our work on intelligent systems area has helped create world-first and market-changing technologies including real-time AI-enhanced medical imaging, autonomous defence systems against cyberattacks, and edge algorithms to help visually impaired people navigate indoor spaces. We combine our research output with engineering rigour to create innovative and robust solutions to solve complex problems presented to us by our clients. We help clients across a diverse range of markets, including defence/security, healthcare, biotech, industrial and energy, so there is no shortage of variety. At the heart of what we do are talented and motivated multi-disciplinary teams empowered to create cutting-edge technologies and systems to solve difficult problems for our clients. We offer a diverse, fun, and challenging work environment where you'll have the chance to work on a wide variety of projects that deliver real value using technology. We recognise and celebrate individual talent and we understand the importance of letting individuals be just that. Our people are here to do the best work of their lives and our job is to provide the platform for them to do it. Cambridge Consultants is a workplace where everyone is welcome. When the brightest minds come together and feel included, that's when we develop the most important technology breakthroughs. We believe that diversity can only flourish when everyone feels involved and has a sense of belonging. We welcome and value all people regardless of their characteristics and encourage applications from all backgrounds and dimensions of society. By submitting an application to Cambridge Consultants, you confirm that the information provided in this application, together with any supporting documentation, is true, complete, and accurate to the best of your knowledge and belief. You understand that any false statement, misleading information, or material omission may render you liable to disqualification from the recruitment process, withdrawal of any offer of employment, or dismissal without notice if discovered following appointment. You acknowledge that the organisation reserves the right to verify the information supplied. #J-18808-Ljbffr

UK, USA, Spain & India The Chief Enterprise Architect shapes AstraZeneca’s technology future. Working at the intersection of science, data, AI and engineering, the role drives the evolution of AstraZeneca’s digital ecosystem so that technology accelerates the discovery, development and delivery of medicines. The role provides strategic technology leadership across platforms, data, AI, cloud and digital products, while enabling autonomous teams to innovate safely and at scale. Rather than acting as a central control point, the role establishes clear technology principles, reusable platforms and lightweight guardrails that help teams move faster, reduce complexity and deliver measurable business and patient impact. The role is accountable for shaping a modern, product- and platform-oriented technology architecture across AstraZeneca. • Define AstraZeneca’s enterprise technology strategy, technology principles and strategic investment priorities., • Establish lightweight architectural guardrails that enable teams to move quickly while maintaining enterprise coherence., • Simplify decision‑making, reduce organisational friction and remove unnecessary architecture bureaucracy., • Advise the CIO, Executive Leadership Team and senior business leaders on strategic technology choices., • Define AstraZeneca’s enterprise AI architecture and technology strategy, including generative AI, agents, machine learning and advanced analytics., • Establish reusable AI platforms, services and patterns that can be adopted safely across R&D, clinical, operations, commercial and corporate functions., • Partner with scientific, clinical and commercial teams to unlock AI‑driven value while ensuring security, compliance and measurable outcomes., • Build and evolve enterprise platforms that accelerate delivery and reduce duplication., • Champion platform engineering, API‑first architecture, self‑service capabilities and a strong internal developer experience., • Reduce cognitive load on product and engineering teams by creating reusable technology capabilities., • Shape multi‑year transformation programmes around business outcomes, product delivery and value creation., • Ensure technology platforms support AstraZeneca’s priorities across R&D, Clinical Development, Manufacturing, Commercial and Corporate Functions., • Drive modernisation and rationalisation where it improves speed, resilience, cost or user experience., • Embed security, privacy, resilience, GxP and regulatory compliance into technology design without slowing delivery unnecessarily., • Make balanced risk decisions that support innovation in a regulated environment., • Build a world‑class technology strategy and architecture community across AstraZeneca., • Attract and develop exceptional architects, engineers and product‑minded technology leaders., • Foster a culture of curiosity, experimentation, simplicity, collaboration and speed‑to‑value., • Increased reuse of enterprise platforms and shared capabilities., • Faster technology decision‑making and reduced delivery friction., • Greater adoption of AI capabilities across the enterprise., • Improved developer productivity and internal customer experience., • Reduced technology complexity, duplication and avoidable cost., • Clearer link between technology investment and business, scientific and patient outcomes., • Significant senior technology leadership experience in a global, complex organisation, • Experience shaping technology strategy across cloud, data, AI, platforms and digital products, • Track record of enabling product and engineering teams through platforms, patterns and guardrails, • Experience operating successfully in regulated environments, • Ability to influence C‑suite stakeholders and translate technology strategy into measurable business outcomes, • Pharmaceutical, life sciences, healthcare or regulated‑industry experience, • Experience in a digital‑native, product‑led or platform‑led technology organisation, • Knowledge of GxP, clinical systems, R&D, manufacturing or commercial technology landscapes, • MBA, advanced technical degree or equivalent experience, • Strategic technology leadership, • Product mindset and customer focus, • Platform thinking and API‑first architecture, • AI and digital fluency, • Systems thinking and ability to simplify complexity, • Executive influence and storytelling, • Commercial acumen and outcome orientation, • Organisational change leadership, • Ability to balance autonomy, speed, security and regulatory obligations, • Talent development and community leadership, • Recognised thought leader in AI, cloud, digital platforms or enterprise technology strategy, • Experience building platform engineering or internal developer experience capabilitiesExperience scaling data and AI ecosystems across a large enterprise, • External speaking, publishing or industry engagement At AstraZeneca, we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There’s no better place to make a difference to medicine, patients, and society. An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth, and development. We’re on an exciting journey to pioneer the future of healthcare. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life‑changing medicines. In‑person working gives us the platform we need to connect, work at pace and challenge perceptions. That’s why we work, on average, a minimum of three days per week from the office. But that doesn’t mean we’re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. Date Posted 09-Oct-2026 Closing Date 23-Oct-2026 Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form. #J-18808-Ljbffr

Who We Are At the company, we're on a mission to transform the way businesses grow. We've built the leading partnership automation platform that empowers brands to discover, engage, and convert their audiences at scale. From affiliate marketing to influencer collaborations, we help our clients build and manage profitable partnerships that drive real results. We're a team of passionate problem-solvers who are dedicated to helping our clients win in the ever-evolving world of digital marketing. We're looking for passionate, talented people who want to be part of a winning team. At the company, you'll find a culture of collaboration, innovation, and respect. We're guided by our core values, and we're committed to creating an environment where everyone can do their best work. We also offer a competitive salary, generous benefits, and a flexible work environment that allows you to thrive both personally and professionally. If you're ready to grow your career and make a difference, we'd love to hear from you. We are at a pivotal point in our tech progression. We're looking to grow our technical estate, architect new systems, remove technical debt and scale our platform. It's an exciting time to join the company, and we are looking for a technical leader to help spearhead this evolution. As a database engineer, you will operate with a high degree of autonomy, acting as the principal technical authority and taking end-to-end ownership of our database estate. You will be a strategic anchor within the Technical Operations team, interfacing directly with business, development, and IT functions. While you will own the database architecture and design solutions for the future, a fundamental, non-negotiable part of this role is hands‑on Business As Usual incident management. You must be comfortable rolling up your sleeves to handle daily operations, backups, and performance tuning alongside project delivery. Your deep expertise in MySQL, alongside strong Linux system administration and a working knowledge of network troubleshooting, will be critical to your success. You will design, build, and secure the underlying servers our databases run on, proactively analyse current implementations, and act as the ultimate technical escalation point for our database infrastructure in both our physical datacenters as well as our public cloud estate. While we need your advanced technical skills, we are equally focused on character. We are looking for a highly proactive communicator who collaborates seamlessly without needing to be prompted. Crucially, you must be able to independently plan out complex technical work, such as database upgrades, and clearly articulate the step‑step process and business impacts to stakeholders. You must thrive both when working independently to tackle complex problems and when operating collaboratively within a broader team. Furthermore, you will actively seek out opportunities to coach and mentor other engineers, elevating the overall DBA knowledge across the company. This role is fully remote and open to candidates based anywhere in the UK or the US. • Primary Operational Ownership: Take complete, hands‑on ownership of daily database operations. Managing and maintaining the database infrastructure for day‑to‑day use, including backup management, resolving slow‑running queries, and performance tuning, is a fundamental pillar of this role., • Infrastructure & Server Support: Be comfortable in providing operational support by designing, securing, and robustly maintaining the underlying Linux servers that our large distributed databases run on., • Project Planning & Stakeholder Communication: Plan, manage, and deliver large technical projects like database upgrades and migrations. You will autonomously map out step‑by‑step execution plans, proactively communicate technical considerations, and clearly articulate the business impact of your work to non‑technical stakeholders., • Technical Leadership & Strategy: Scope incoming work, delegate to team members where appropriate, and act as the definitive database escalation point for support teams within the wider organisation., • Proactive Optimisation & Automation: Measure and optimise system performance to push our capabilities forward. Lead the automation of management and monitoring for the database platform infrastructure., • Collaboration & Documentation: Partner closely with development teams, product owners, and other stakeholders to ensure database needs are met and to improve the testability of database aspects within software deployments. Document procedures, best practices, and troubleshooting steps for knowledge sharing., • Delivery & Out‑of‑Hours/On‑Call Support: Plan, prioritise, and estimate tasks using Jira, and provide essential support for any critical database‑related issues both during and outside of normal business hours., • Mentorship: Actively mentor and coach other engineers, providing technical leadership on database design, optimisation, and migration strategies to elevate overall team knowledge., • MySQL & On‑Premise Infrastructure: Advanced administration of MySQL in production environments, whether on‑premise or in the cloud. Crucially, as our primary database is on‑premise, you must possess strong Linux system administration and networking awareness to independently support, secure, and maintain the underlying servers., • Independence: Experience as either the sole or lead owner for large production database infrastructure within a SaaS environment with demonstrable accountability for its availability and performance. A proven track record of managing these responsibilities while coordinating with external technical stakeholders and adhering to light change management processes., • High Availability & Replication: Advanced experience configuring and troubleshooting complex MySQL replication setups (such as primary‑replica, multi‑master, and GTID). Proven ability to quickly resolve replication lag, manage smooth failovers, and execute disaster recovery plans., • Monitoring: A working understanding of database monitoring tools and patterns. What to measure, appropriate thresholds, and response mechanics., • Performance Optimisation: Deep expertise in query tuning, slow query analysis, and advanced schema optimisation (including normalisation, partitioning, query rewrites, and indexing strategies)., • Upgrades, Migrations & Scripting: Proven track record of executing minimal‑downtime upgrades and complex migrations (in‑place, cross‑database, or migrating ancillary workloads). Highly skilled in automating these processes using Python and/or Bash to build robust, version‑controlled scripts., • Database Security & Compliance: Experience securing database infrastructure through SSL/TLS encryption, user access control, audit logging, and automated backup encryption., • Automation, Containers & CI/CD: Hands‑on expertise using Ansible for configuration management, deploying and managing databases within Kubernetes/containerised environments, and managing version control and pipelines via GitLab for any database related change., • Monitoring & Troubleshooting: Hands‑on experience deploying and configuring monitoring/alerting stacks (such as Prometheus, Grafana, or Percona Monitoring and Management) for proactive issue resolution and database health tracking., • PostgreSQL & Hybrid Estates: Advanced administration of PostgreSQL, alongside experience managing database workloads across a hybrid environment (e.g., combining on‑premise architecture with AWS)., • OLAP & Data Warehousing (Apache Druid / Snowflake): Familiarity with columnar databases and cloud data platforms, particularly Apache Druid and Snowflake. Experience with schema design, data sharding strategies, OLAP query optimisation for long‑running queries, and managing zero‑downtime upgrades in distributed environments., • Service Management Tooling: Experience using Jira and Confluence for managing workflows, project tracking, and creating technical documentation., • Openness to learn the required technologies., • An interest in development, new technologies and innovation., • Supporting development teams into the refactoring of technical debt. At the company, we recognise it is unrealistic for a candidate to fulfil 100% of the criteria in this job description. We know that skills evolve over time, so if you have a keen appetite to learn and evolve alongside us over time, come join our team! • Flexible Time Off Policy – Take the time you need, • Enhanced parental leave (16 weeks for birth parent, 8 weeks for non‑birth parent at full pay), • Regular company events and activities, • Robust Company Sponsored Health & Welfare Benefits, • 401k Plan – 4% employee match, • Enhanced Wellness Program including access to EAP, Wellness Coaching & Wellness Fridays program We are committed to attracting, developing, and advancing our outstanding team members, regardless of race, ethnic identity, sexual orientation, religion, age, gender, gender identity, physical abilities, or any other dimension of diversity. We strive to foster an environment where people can be their authentic selves, raise concerns and innovate, all without fear; where they are treated fairly and respectfully, have equal access to opportunities and resources and can contribute fully to the organization's success. Every individual in our business is expected to live this commitment without exception. Privacy and data protection. The data collected as part of this application will be used for the recruitment process and any subsequent employment. You can find further information in the company privacy policy here:https://the company.com/privacy-policy/ #J-18808-Ljbffr

European Tech Recruit are working closely with a leading fabless semiconductor company, based in Cambourne, who are looking for a talented Principal GPU Architect to join their team. • Build and maintain cycle-accurate / performance / functional models of GPU subsystems (e.g., shader cores, fixed-function units, memory hierarchy, interconnect)., • Use modeling and profiling to explore architectural trade-offs (performance, power, area) and guide microarchitecture decisions., • Analyze workloads (games, graphics benchmarks, GPU compute, AI/ML kernels) using simulation and hardware profiling to identify bottlenecks and optimization opportunities., • Collaborate closely with model, RTL, DV, driver and compiler and performance teams to ensure architectural intent is correctly implemented, verified and tuned., • Provide architectural input to compiler/driver/runtime teams to maximize utilization of GPU hardware through software optimizations., • Develop methodologies, tools and automation flows for GPU performance estimation, capacity planning and regression analysis., • Lead the debug and root cause analysis of performance, power and bandwidth issues observed in models, emulation and silicon., • Drive cross-team technical discussions, present modeling results and architectural proposals, and influence roadmap decisions for next generation GPUs., • BS, MS or PhD degree or equivalent in Computer Science, Electrical or Computer Engineering or related majors., • 7+ years of industry experience., • Experience in GPU, graphics, high performance compute, AI accelerator, or related architecture/modeling areas., • Strong experience with performance and/or cycle accurate modeling, simulation frameworks, or architectural exploration for complex SoCs or accelerators., • Solid understanding of graphics and compute APIs such as Vulkan, OpenGL, DirectX and/or GPU compute frameworks (e.g., OpenCL, CUDA, Metal)., • Proficiency in at least one modeling or implementation language (e.g., C/C++, SystemC, Python) and familiarity with scripting for data analysis and automation., • Experience with performance analysis tools, profiling methodologies and workload characterization for games, benchmarks and/or GPU compute workloads., • Good written and oral communication skills, with the ability to present complex technical topics clearly and drive consensus across teams., • Experience with mobile/low power GPU design and power/performance trade off analysis., • Background in compiler, driver, or runtime optimization for GPUs or accelerators., • Familiarity with ML/AI workloads, DNN operators and their mapping onto GPU or accelerator architectures., • Experience collaborating with silicon implementation, physical design and DV teams on performance and power sign off. By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (https://eu-recruit.com/about-us/privacy-notice/) #J-18808-Ljbffr

At Kandou, we are redefining the economics of AI infrastructure. Our mission is to democratise AI by significantly reducing the Total Cost of Ownership (TCO) of hardware systems — a critical barrier to scalable adoption. Our proprietary MIMO-over-copper technology powers a high-performance, chiplet-based AI memory fabric that is both scalable and energy-efficient. Unlike traditional interconnects, our solution reduces power consumption significantly while preserving high bandwidth and ultra-low latency — unlocking unprecedented efficiency for AI training and inference at scale. Kandou’s architecture is not just an incremental improvement — it’s a foundational shift in how AI hardware is built for the future. We are actively seeking a Software Architect based in one of the following locations: India (Hyderabad/Bangalore), UK (Reading/Cambridge) Switzerland (Lausanne). • Architect CMIS 5.x stack (DataPath State Machine, VDM, I2C/MCTP, FW-SW interface), • Lead host interop tests for hyperscalers (Meta, AWS, etc.), build test matrix and regression suite, • Develop manufacturing test orchestration (ATE integration, yield analytics, on-chip stimulus), • Build telemetry pipeline from FW to host/cloud (formats, compression, SDK APIs), • Own customer SDK and tools (C/Python, CLI, log analysis), release management, • Ensure standards compliance (CMIS 5.x, OSFP MSA, SFF-8024, OIF), • Travel: Up to 25% (customer engagement, manufacturing, standards), • Good knowledge of C/C++, Python, systems language (Go/Rust); CI/CD, conformance tests, • Good knowledge of I2C/MCTP, SFF-8024, vendor extensions, • Good understanding of standards implementation (OIF, SFF, IEEE mgmt-plane), • Good knowledge of architecture documentation (SHALL/MUST, REQ traceability), • Self-motivated, with strong sense of ownership and responsibility, • Good communication and reporting skills, • Principal / Senior Staff (8-10 years post-degree), • 8-10 years high-speed interconnect software (module SW, management, test, SDK), • CMIS 4.x/5.x implementation and OSFP MSA experience, • Hyperscaler interop with NIC/switch ASICs (Nvidia, Broadcom), • Test software architecture with ATE/yields, • Manufacturing and field support experience, • BS in Electrical Engineering, Computer Engineering, or Computer Science (MS preferred) If this is the role you have been looking for and you want to be part of a growing Company, with an exciting future then we would really love to hear from you. Together We Kandou It! #J-18808-Ljbffr

As a Principal AI Data Architect, you will define and evolve the enterprise data architecture needed to deliver trusted, scalable, secure, and cost-efficient AI products. This work starts with data. You will design systems that connect diverse data sources to AI agents and ensure the information is clean, accessible, and ready for advanced analytics. You will also shape the technical data engineering strategy, set clear architectural standards, and translate complex business priorities into robust, production-ready capabilities. You’ll partner with product managers, AI engineers, and security teams to ensure data governance, security protocols and compliance rules are enforced when Agents need access to data sources. Expect to drive strategy, provide leadership in data engineering, clarify outcomes, and shape standards. • Enable AI and GenAI use cases: Ensure data is usable for LLM and ML applications, such as RAG, vector-based knowledge retrieval, agentic workflows, AI-assisted reporting, or secure data access for agents, • Establish data trust, security, and responsible-AI controls including data quality and validation, lineage, metadata, privacy, RBAC/ABAC, auditability, retention, policy enforcement, and AI-output evaluation and monitoring., • Drive technology, platform, and investment decisions by evaluating cloud data services, AI platforms, frameworks, and vendors; lead build-versus-buy assessments with explicit consideration of performance, resilience, security, operability, and total cost of ownership., • Define the target-state AI data architecture and multi-year roadmap for data ingestion, integration, storage, modeling, semantic access, and AI consumption; establish reusable reference architectures and engineering standards across domains., • Provide principal-level technical leadership across the organization by leading architecture reviews, resolving complex cross-domain design issues, partnering with product, engineering, security, and executive leaders, • Bachelor’s degree in computer science, Computer Engineering, Data Science or Information Systems or related field, • 10+ years of experience as a Data Architect, Data Engineer, ML Ops or similar role with enterprise data systems, • Demonstrated ability to lead complex technical decisions and influence senior stakeholders, with strong communication skills and experience establishing data governance, security, privacy, quality, lineage, and operational standards in enterprise or regulated environments., • Demonstrated experience delivering data foundations for AI/ML or GenAI solutions, including one or more of RAG, vector databases, enterprise search, LLM evaluation, agentic workflows, feature/data pipelines, and model-serving integration, • Proficiency in Python and SQL, with experience in data processing libraries, • Hands on experience with MCP Servers and MCP Registries. Eligibility: • Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA., • Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided., • Experience developing on AWS Bedrock, • Deep hands-on proficiency in SQL and Python, plus practical experience with data-processing and orchestration technologies such as Databricks, RedShift, Snowflake, Kafka, Airflow, or equivalent cloud-native services., • Experience with Ontologies and Semantic systems GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $137,700.00 and $229,600.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on September 22, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual. #J-18808-Ljbffr

CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress. While nature took billions of years to perfect molecules, we are harnessing AI to unlock trillion-dollar materials breakthroughs in months, not millennia. Our founding team is the most cited in the world, comprised of world-class researchers in AI, chemistry and engineering. We are working on some of the hardest and most important challenges including energy, clean water, the future of compute, and carbon capture, and this is just the start of what our 'search engine' for next-generation materials will unlock. We invite you to be part of a diverse, innovative team at the intersection of AI and materials science, working to create impactful partnerships that drive innovation, scalability, and industry collaboration. This work matters. Your work matters. We’re on the cusp of the on-demand materials era. Join us. As we grow, we are seeking a Platform Engineer with strong Python coding, DevOps and cloud platform expertise to build and maintain the infrastructure that powers our ML research teams. You will be the architect of the systems that enable our researchers to train and deploy models at scale. In this role, you will build and maintain the ML infrastructure platform that empowers our AI researchers and materials scientists to conduct cutting-edge experiments. You will help to build and maintain the entire ML operations stack - from cloud architecture to deployment pipelines - ensuring our research teams can focus on science while you handle the systems. • Build the ML Infrastructure Platform: Design and implement a cloud-native platform on Kubernetes that enables researchers to easily train, evaluate, and deploy models without worrying about infrastructure complexity., • Own the MLOps Stack: Implement and maintain CI/CD pipelines, model registries, experiment tracking systems, and deployment automation - the full lifecycle of ML operations., • Scale Distributed ML Model Training: Build infrastructure to support distributed training across many GPUs, implementing solutions for data pipelines, checkpointing, and resource optimisation., • Platform Reliability: Ensure 99.9% uptime for our ML platform through monitoring, alerting, and automated recovery systems. Be the guardian of infrastructure stability., • Configuration Management: Use Kapitan to manage complex multi-environment Kubernetes configurations and ensure consistent deployments across dev, staging, and production., • Cost Optimisation: Implement resource management strategies to optimise cloud spending and detect inefficient usage while maximising computational throughput for our research teams., • Developer Experience: Create tools and abstractions that make it simple for researchers to go from experiment to production without deep infrastructure knowledge., • Interdisciplinary Collaboration: Partner closely with ML Researchers, Chemists, Materials Scientists and Software Engineers to understand their needs, and to build the infrastructure for groundbreaking projects, • You are someone who gets excited about the opportunity to enable scientists to work on world changing challenges in this domain, with a personal interest in the potential applications of the technology that Cusp is building., • You’re a builder of tools and infrastructure who enjoys making life as easy as possible for the teams. As part of your interest in this area, you stay up to date with the latest relevant technologies, tools, and open source projects., • You are a seasoned engineer with deep expertise in building and maintaining ML infrastructure (not model development), ideally in start-up environments. We need you to be able to hit the ground running and work autonomously as a subject matter expert, providing input and guidance around best practice where appropriate., • You bring deep experience with ML workloads on Kubernetes and multi-cloud platforms (AWS, GCP, neoclouds)., • You have strong Python and/or Go programming skills for infrastructure automation - not just scripting., • Expert-level proficiency in Infrastructure as Code (IaC) using Terraform, Helm, Kapitan, and GitOps workflows., • Experience operating distributed ML platforms for JAX and/or PyTorch (Tensorflow would be less relevant)., • You will also need to have GPU infrastructure experience, specifically managing GPU clusters and performance optimisation - Previous experience as a Software Engineer before moving into DevOps / MLOps / ML Infrastructure, or at least writing code regularly (at work and/or in your spare time), as this should equip you with the kind of coding skills we’re looking for., • Experience using our tech stack (Flyte, Kapitan, Pants) or similar tools, • Experience with HPC environments and job schedulers (Slurm, PBS), • Knowledge of ML serving infrastructure (Triton, TorchServe, KServe), • Familiarity with scientific computing workflows and data management, • Experience with multi-tenant ML platforms, • Background in supporting research teams (understanding their unique needs vs. production ML), • A competitive salary: We value and reward impact and growth, • Equity in CuspAI: You have a stake in the success of the company, • Time off to stay fresh: 28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US), in addition to local public holidays, • ‘Gold Standard’ parental leave: 26 weeks (primary caregiver) and 12 weeks (secondary caregiver) at full pay, • we look after you and your family while we work on the most important materials discovery problems together, • Professional development budget: We invest in your career development so you can stay up to date with the latest industry knowledge or add to your skills to increase impact and growth, • Solve meaningful problems: See how your work has a direct impact on advancing materials science and s #J-18808-Ljbffr