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DescriptionOffice location: Cambridgeshire, UK – This position offers flexible working options, including predominantly remote work. However, applicants should be based (or be willing to relocate) within a comfortable commuting distance of our office to attend onsite as required.Are you an experienced MMO design leader who knows what it takes to build a world players will want to call home for thousands of hours?As Design Director on our newly announced MMORPG, RS4 you'll work closely with our Creative Director to turn our vision into a coherent, scalable, and sustainable MMO design for an ambitious new project in the RuneScape universe. Bringing deep, hands-on experience of building and shipping MMOs, you'll own the game's overall design architecture across progression, economy, content, social systems, endgame, and live operations, making sure every system works together as a compelling long-term player experience.This is an exciting senior leadership opportunity to lead and grow our Design team, partnering closely with the Creative Director, Design Leads, Production, and Engineering to create a game that can be built and operated at scale, and that honours what makes RuneScape so special to millions of players.What you'll be doing:Translate the Creative Director's vision and pillars into a coherent, scalable MMO experience.Own the MMO design architecture, defining how progression, combat, economy, content, social systems, endgame, and retention work together.Set the design strategy and standards, establishing design principles, frameworks, and quality bars across the project.Lead the Design team, guiding and mentoring Design Leads and senior designers while establishing clear ownership and decision-making.Design for longevity, ensuring systems and content can sustain years of player progression, engagement, and live development.Partner closely with Creative, Production, Engineering, UX, Analytics, and other teams to make sure designs are achievable at scale.Use playtesting, telemetry, and player feedback to identify problems, iterate, and evolve the experience.Anticipate and proactively address MMO-specific risks, including economy health, progression balance, content consumption, exploits, and technical constraints.What we're looking for:A proven track-record of successful game design experience, with substantial experience on MMOs or persistent online worlds.Senior design leadership experience (Design Director, Lead Designer, Principal Designer, Game Director, or equivalent) on at least one shipped MMO or major persistent online title, ideally from pre-production through to launch.A proven ability to translate a Creative Director's vision, pillars, and player promise into a coherent MMO design framework, with strong creative partnership skills.Deep MMO systems expertise across character progression, itemisation, economies, combat and encounters, social systems, and endgame, and an understanding of how they interact as one ecosystem.Experience building or owning an MMO's content model, balancing content velocity against consumption and creating frameworks that let multiple teams build content consistently.Significant experience on a live MMO or persistent online game, using telemetry and community feedback to understand retention, economy health, and player behaviour.A strong understanding of the technical realities of MMO development, and experience working in Unreal Engine or similarly complex AAA environments.Proven experience leading and mentoring a sizeable multidisciplinary design organisation, with the confidence to make difficult calls and protect the core game from uncontrolled complexity.A passion for MMOs, a strong appreciation of what makes RuneScape distinctive, and the ability to modernise its principles without simply importing conventions from other games.What we offer:When you join Jagex you can look forward to a generous Perks & Benefits package including:Private Healthcare, including Dental Plan.Minimum 6% Pension contributions.Employee Assistance Programme & onsite Counselling.Life Insurance.Discretionary annual performance bonus.Enhanced family leave policies from day 1.Flexible working hours.25 days annual leave + Bank holidays & the option to buy/sell holidays + so much more!Inclusion & AccessibilityStatementWe are committed to providing equal opportunities and creating an environment where everyone can thrive. We welcome applications from all backgrounds, and we recruit, develop, and promote based on merit and ability.If you require any reasonable adjustments to support you during the recruitment process, please let us know when you’re invited to interview.About Jagex:We are Jagex: The RuneScape Company- home to one of gaming’s most enduring success stories. We create deep, community-powered games with worlds that evolve, inspire, and endure. Our flagship MMORPG franchise, RuneScape has welcomed over 300 million player accounts, inspiring generations of players across PC and mobile for 25 years.As we begin our 26th year, we are accelerating our strategy to expand RuneScape into a broader ecosystem of forever games and connected experiences, grounded in a renewed commitment to integrity and fair play. This includes the reduction of monetisation mechanics, as well as the launch of RuneScape: DragonWilds into Steam Early Access in 2025 representing a major step in building a multi-genre future for the RuneScape universe. We remain focused on building enduring worlds, empowering player-led innovation, and laying the foundations for the boldest era in RuneScape’s history. For more information, visit .Headquartered in Cambridgeshire, United Kingdom, We are home to passionate creators, storytellers, engineers, and even a few dreamers, all united by a single mission- to shape the future of online worlds and empower players to make them their own. We’re looking for people to join us who share our ambitions & values - We foster an inclusive workplace built on trust, autonomy, and a shared passion for creating experiences which inspire our communities. Our values guide everything we do: We Embrace Fellowship by collaborating and sharing openly. We Hone our Craft by always learning and improving; We Honour our Vows by being honest and transparent; We are our Customers’ Heroes by striving to understand our team & player needs, and We Seize The Day by making the most of every opportunity.Join us. The next era of RuneScape - and the next chapter of Jagex: The RuneScape Company - starts now.We are committed to providing equal opportunities and creating an environment where everyone can thrive. We welcome applications from all backgrounds, and we recruit, develop, and promote based on merit and ability.If you require any reasonable adjustments to support you during the recruitment process, please let us know when you’re invited to interview.Job SummaryID: 19B7A045FBDepartment: RS4Type: full time

CuspAI, an AI search engine for new materials, seeks a Materials Knowledge Architect to turn messy scientific data into clean, structured representations and to design schemas and ingestion pipelines for materials data. You will work closely with product and data teams to ensure the data supports AI-powered discovery. This role sits at the intersection of materials science and AI, building data representations that feed machine learning models for materials discovery and enabling faster, more #J-18808-Ljbffr

At AstraZeneca, we put patients first and strive to meet their unmet needs worldwide. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. If you are swift to action, confident to lead, willing to collaborate, and curious about what science can do, then you're our kind of person. We are a global, science-driven biopharmaceutical company dedicated to discovering, developing, and delivering innovative medicines that enrich the lives of patients. Our R&D engine combines deep biology expertise with cutting‑edge artificial intelligence to accelerate how we find and validate new drug targets — ultimately bringing life‑changing therapies to patients faster. The Discovery Centre (DISC) is AstraZeneca’s global corporate headquarters and flagship research and development facility, located on the Cambridge Biomedical Campus in Cambridge, UK. The DISC brings together scientists, engineers, laboratory specialists, technology experts, and corporate colleagues in a highly collaborative environment. The facility provides a modern working environment with advanced laboratories and research infrastructure, including robotics, high‑throughput screening, computational science, data-enabled research, and AI‑supported technologies. Its location on the Cambridge Biomedical Campus provides access to a strong local network of healthcare, academic, and life‑sciences expertise, supporting professional development, external collaboration, and scientific exchange across the biomedical sector. The AI for Discovery — New Target Discovery team exists to surface novel drug targets that Oncology and BioPharmaceuticals R&D can act on. We accelerate discovery by building and deploying two core AI capabilities: agentic AI and predictive models of biology to accelerate new target decision making across AZ R&D. Our team supports both Oncology and BioPharmaceuticals therapeutic areas, sharing learnings across target discovery approaches and connecting new target strategy across AstraZeneca disease areas. We partner closely with therapeutic area scientists in Oncology, CVRM, Respiratory, Immunology, and Infectious Disease — as well as AI engineering and AI research teams. This is a hands‑on individual contributor role at the intersection of artificial intelligence and drug discovery biology. You will apply your technical skills in AI and biology to build, deploy, and evaluate agentic AI and predictive modeling tools that support new target discovery across AstraZeneca’s therapeutic areas. • Work with therapeutic area scientists to understand their challenges and apply agentic AI and predictive models to accelerate target identification and validation., • Build and deploy multi‑agent AI systems into therapeutic area workflows, translating AI capabilities into actionable scientific insights., • Develop, evaluate, and benchmark predictive foundation models for in silico biology — including perturbation prediction, virtual cell models, and preclinical efficacy forecasting., • Write production‑quality code, pipelines, and tools that the team and broader organization can rely on., • Collaborate effectively within cross‑functional project teams, communicating technical findings to both expert and non‑expert audiences., • Contribute to AstraZeneca’s external visibility through publications, conference presentations, and scientific collaborations., • PhD in computational biology, bioinformatics, AI/ML, systems biology, or a related quantitative discipline, or a Bachelor’s/Master’s degree with equivalent research experience. Candidates with additional post‑doctoral or industry experience are equally encouraged to apply., • Experience with agentic AI, LLM‑based reasoning systems, or multi‑agent architectures applied to scientific problems., • Experience with predictive AI modeling for biology — foundation models, graph neural networks, perturbation models, or virtual cell approaches., • Understanding of drug discovery biology: target identification, target validation, mechanism of action, or translational science., • Strong technical proficiency in Python (required); experience building production‑quality code, pipelines, and tools for scientific applications., • Hands‑on experience with deep learning frameworks (PyTorch, JAX, or equivalent) for model development and evaluation., • Effective communication of technical and scientific findings to diverse audiences., • Enthusiasm and persistence in applying AI methods to complex biological problems., • Experience with multi‑agent orchestration frameworks or scientific reasoning platforms., • Knowledge of targeted delivery modalities such as antibody‑drug conjugates (ADCs), bispecifics, or degraders., • Experience integrating multimodal biological data (genomics, transcriptomics, proteomics, functional genomics)., • Familiarity with clinical translation — biomarkers, patient stratification, or preclinical‑to‑clinical bridging., • Experience working in pharma or biotech R&D., • Proficiency in R for statistical analysis or bioinformatics workflows., • Experience working in pharma or biotech R&D. At AstraZeneca when we see an opportunity for change, we seize it and make it happen, because any opportunity no matter how small, can be the start of something big. Delivering life‑changing medicines is about being entrepreneurial — finding those moments and recognising that movement. Join us on our journey of building a new kind of organisation to reset expectations of what a bio‑pharmaceutical company can be. This means we’re opening new ways to work, pioneering cutting‑edge methods and bringing unexpected teams together. Where can I find out more? Follow AstraZeneca on LinkedIn company/1603/ Follow AstraZeneca on Facebook astrazenecacareers/ Follow AstraZeneca on Instagram astrazeneca_careers/?hl=en Date Posted 22-Oct-2026 Closing Date 30-Oct-2026 Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, startingwithourrecruitmentprocess. Wewelcomeandconsiderapplicationsfromallqualifiedcandidates,regardlessofcharacteristics.Weofferreasonableadjustments/accommodations to helpallcandidates to perform at theirbest. If you have a needfor any adjustments/accommodations,pleasecompletethe section inthe applicationform. #J-18808-Ljbffr

We built our speech-to-text engine to understand every voice, in every accent, in every language, across customers who trust us with their audio and their data. That same care extends to how we protect that data and our own systems, and that's where you come in. We're hiring an Information Security Manager to make sure the rigour we put into understanding speech is matched by the rigour we put into keeping it safe. • Leading security triage as the first port of call, assessing new CVEs, vulnerabilities and supply-chain risk against our real infrastructure, not just a checklist., • Running hands-on audits covering pen testing, vulnerability management, supply-chain security, bringing technical judgement, not just policy references., • Owning our governance, risk and compliance frameworks, and keeping them honest, turning policy into controls that actually work at the infrastructure and code level., • Automating the parts of GRC that don't need a human (vulnerability tooling, endpoint protection rollout, policy-to-enforcement mapping), so the function scales without the busywork., • Building real product and infrastructure knowledge, so you become the person people come to, not the person who has to go find someone else. #J-18808-Ljbffr

The role is an early security hire who builds automated protections into how software gets built and deployed, rather than reviewing things by hand. It asks for a few years of hands‑on work in DevSecOps, cloud security or site reliability, with solid skills in CI/CD pipelines, infrastructure as code, containers and access controls. A strong candidate can make security easy for researchers and engineers to follow without slowing their work. AI brings new things to protect, such as model weights, training data and chat‑style interfaces that can be tricked by crafted input. Much of the routine checking can be automated, but judging risk, responding to incidents and earning trust from researchers and chemists stays with people. The job is as much about teaching and building good habits as it is about tools. Someone in this role would get close to defending a real AI platform that finds new materials, including self‑hosted models and valuable research data. To build this experience beforehand, it helps to study the OWASP list of risks for language models, try out prompt injection defenses on a small project, and learn how model and dataset inventories are tracked. Showing interest in how AI is used in chemistry would also fit this company well. • Infrastructure as code with Terraform, • Kubernetes and container hardening, • Least‑privilege access design, • LLM security awareness 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

Cuspai · Cambridge, UK Abroad Cambridge, UK Full Time Link validated About CuspAI 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. The Role Due to our rapid growth and the sensitivity of our proprietary materials discovery platform, we are seeking a Security Engineer to ensure our innovation happens at speed without compromising the safety of our IP or our users. Your Impact In this role you will be building the automated security pipelines and AI‑specific guardrails that protect our frontier models and research data, which is critical for maintaining the integrity of our materials discovery engine and the trust of our global partners. As an early security hire, you won't be a manual blocker; instead, you will architect a "shift-left" culture where security is a fundamental product feature. Your work ensures that as we scale our search for next-generation materials, our underlying infrastructure and world‑class IP remain safely locked down. • Secure the end‑to‑end ML lifecycle, implementing defenses against data poisoning and protecting our proprietary model weights from theft., • Design and deploy prompt injection defenses and runtime firewalls to prevent unauthorized manipulation of our LLM interfaces., • Implement AI Security Posture Management (AI‑SPM) to monitor and catalog self‑hosted models, internal training datasets, and proprietary endpoints., • Weave automated security "guardrails" directly into our CI/CD workflows, including secret scanning, API exposure checks, and software composition analysis (SCA)., • Codify security policies using Infrastructure as Code (IaC), ensuring all cloud resources are automatically compliant with global standards (e.g. GDPR, SOC2)., • Manage secrets and vulnerability patching for containerized environments (e.g. Docker, Kubernetes) to ensure our research environment is resilient., • Design strict, least‑privilege Identity and Access Management (IAM) controls to isolate sensitive training data and research workloads., • Lead incident response efforts by monitoring production logs for anomalies and collaborating with AI Researchers to deploy rapid fixes., • Empower the engineering team to own security by providing tools for local IDE security scanning and pre‑commit hooks., • Act as a security educator, cultivating a culture of shared responsibility across the AI, chemistry, and engineering teams., • Partner with researchers, chemists, and engineers to translate security requirements into practical workflows that support rather than slow down scientific work., • You are motivated by the mission of using AI for planetary‑scale impact and understand the high stakes of securing "deep tech" intellectual property., • 3+ years of experience in a DevSecOps, Cloud Security, or Site Reliability Engineering role, preferably within a fast‑paced startup or AI‑centric company., • Proven experience building and securing CI/CD pipelines (e.g. GitHub Actions, GitLab CI, or Jenkins)., • Strong proficiency in Infrastructure as Code (e.g. Terraform, Pulumi) and securing cloud environments (AWS, GCP, or Azure)., • Deep understanding of container security and orchestration (Docker, Kubernetes)., • Practical knowledge of security frameworks and how to implement them without slowing down development cycles., • Direct experience with AI‑specific security tools or defending against LLM‑specific vulnerabilities (OWASP Top 10 for LLMs)., • Experience with AI Security Posture Management (AI‑SPM) tools., • Relevant certifications such as AWS Certified Security, CSEP, or OSCP., • A background or personal interest in materials science, chemistry, or the intersection of AI and physical sciences. This role could be based in our Cambridge, London, Amsterdam or Berlin offices, with the expectation of being in the office three days per week. Additionally, there may be regular travel required to other locations for collaboration and project work. As part of your onboarding, you will be expected to spend at least a few weeks in #J-18808-Ljbffr

We are looking to hire ambitious entrepreneurs to start and scale their own startups. We are serial entrepreneurs, for example Paul Müller (founder Adjust, €1.2B exit) and Petter Made (founder SumUp, €8B) who are eager to support outlier personalities and serial entrepreneurs to build €1B+ companies. Our offer: • A salary while you build your startup as you will directly be employed by us. Alternatively, you can opt for up to €500k in funding., • 1:1 sparring with unicorn founders on a weekly basis, • Community: Access to the top 0.1% of founders, peers and investors, • Team building: Hiring top notch talent supported through our network (over 50,000 professionals), • Distribution: Support in reaching product-market-fit and building up a sales force / marketing machine, • Funding support for securing a multi-million euro funding round within 12 months (on average, EWOR Fellows raise > €2M after our Grand Pitch) One of our fellows set a record for Europe’s largest pre-seed round by a first-time founder, securing a €12M pre-seed investment. • You will own, build, and run your startup in fields such as DeepTech, • You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management, • You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs, • You will receive intensive coaching to make your startup ready to raise millions in funding, • You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively, • You are based in Europe or the Americas or open to relocate, • You are willing to take full responsibility for your own startup and scale it to €100M+ in revenues, • You have excellent communication skills in the English language Join us and build a €1B+ company with us! #J-18808-Ljbffr

The role asks for someone who can find out why large AI training runs on GPU clusters waste compute, and then fix it. That means profiling jobs, tuning GPU kernels and communication between machines, and building dashboards that show how well the hardware is used. A strong candidate has a few years of hands-on performance or HPC work, knows CUDA or Triton well, and is comfortable working alone at a young company. How it fits the AI era AI models are the thing being optimized here, so the job exists because of the AI era. Techniques like quantization, pruning and distillation are part of the daily toolkit, and AI coding tools may speed up routine profiling and scripting. Judgment about trade-offs, such as keeping scientific accuracy while changing a model to run faster, and working out what the hardware is really doing, stays with the person. How it builds AI experience The work gives direct experience with large training and inference for chemistry and physics models, which is a less common area than language models. Someone would learn how scaling behaves on big GPU clusters and how model design choices affect speed and cost. Working beside researchers who build the materials search engine also shows how efficiency work turns into faster scientific testing. Worth showing • CUDA or Triton kernel tuning, • Distributed training at scale, • MFU improvement results, • Open-source performance contributions 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. About CuspAI 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

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. To scale our scientific intelligence and data curation capabilities, we are looking for three Research Engineers* to train and evaluate the foundation models behind our materials discovery platform: representation learning over crystal structures and properties, LLM fine-tuning and post-training for scientific tasks, and the evaluation and data work that makes those models useful. You will work in a small team where each person owns a model end to end, from data and experiment design through training at scale to integration. *Note that you would be joining as a ‘Member of Technical Staff’, but the job title above hopefully helps to explain the nature of this role. You will be responsible for building and training specialised foundation models on terabytes of scientific data at massive scale, fundamentally enhancing our platform's multi-modal capabilities. The modalities span crystal structures, properties, text and images. Depending on your background you may lead on self-supervised representation learning, LLM fine-tuning and post-training (SFT, RL), or the evaluation suites that decide between them. Research and Model Training at Scale Design and run experiments: scaling studies, ablations and evaluations that settle which modelling choices survive. Lead efforts in parallel training of multi-modal foundation models at scale (e.g. orchestrating parallel training across hundreds of GPUs and handling data in the order of Terabytes). Apply strong software engineering best practices to ensure the systems are scalable, reliable, and maintainable. Own the data curation and evaluation design for your models; these outlast the modelling decisions. Scientific Collaboration & Integration Partner closely with our Chemists and Materials Scientists to integrate computational and experimental workflows into one seamless optimisation loop. Be proactive in learning the technical vocabulary of materials science and experimental chemistry to facilitate meaningful interactions with domain experts. Contribute to our mission by ensuring all system designs align with CuspAI's commitment to sustainability and world-changing challenges. 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 CuspAI is building. Strong software engineering skills and a proven track record of building complex, high-performance systems at scale in a production or industrial environment. Hands-on experience training or evaluating large models in a distributed setting. For senior candidates this means having led a multi-hundred‑GPU training effort; for earlier-career candidates, having been a core contributor to one. Depth in at least one of: large-scale vision or representation learning, LLM pre-training or post-training, reinforcement learning. We care more about one substantial, scale-y project than about breadth. A deep interest in the connection between AI and materials science or chemistry, and a willingness to rapidly learn the scientific vocabulary of the discipline. Master’s or PhD in CS, ML or a related quantitative field, or equivalent experience. We are hiring across levels: from strong early-career research engineers (typically 1 to 3 years at a frontier lab or equivalent) to senior and staff engineers who have led model programmes. Experience with representation learning and computer vision, e.g. self-supervised or contrastive pre-training, learning embeddings, or building models that pull structured information out of images such as figures, plots and diagrams. RL for post-training (RLHF, GRPO-style methods) or RL in agentic settings. Experience at a frontier lab or a team that ships models at scale. Prior experience applying machine learning models specifically to problems in materials science, chemistry, or molecular informatics. Exposure to multi-modal training (e.g. text, vision, etc.) and how to combine modalities in a meaningful way. This role could be based in our Cambridge, London, Amsterdam or Berlin offices, with the expectation of being in the office three days per week. Additionally, there may be regular travel required to our other offices for collaboration and project oversight. 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 solving sustainability and climate-related problems through the creation and application of bleeding-edge SOTA technology and revolutionary techniques True interdisciplinary teamwork: Be part of a deeply collaborative environment bridging AI research, computational chemistry, and experimental science - work with world‑class researchers and engineers who enjoy sharing knowledge and supporting each other Join us in shaping the future of materials with AI. Together, we can create groundbreaking solutions for a more sustainable world. CuspAI is an equal opportunities employer committed to building a diverse and inclusive workplace. We do not discriminate on the basis of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding), veteran status, or any other basis protected by applicable law. We actively encourage applications from all backgrounds and value the unique perspectives and contributions that diversity brings to our team. Please let us know if you require any specific adjustments during or after the interview process. We will do everything we can within reason to accommodate. #J-18808-Ljbffr

You’ll be a Chartered Engineer, or working towards chartership, with a recognised professional institution such as the Chartered Institution of Building Services Engineers or the Institution of Engineering and Technology. You’ll have a degree in Electrical Engineering or Building Services Engine

Neat is building out its Business Systems team to transform how we sell, bill, and support customers, driving a shift toward software-engineering practices. You will own architecture choices across Salesforce, NetSuite, and integrated ecosystems, delivering end-to-end solutions with security and production readiness in mind. Your initial focus includes a greenfield quoting agent and the Pulse platform's entitlement engine, working closely with product peers to translate business requirements #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

Neat's Business Systems team owns the infrastructure behind how the company sells, bills, and supports its customers — Salesforce, NetSuite, and the integrations that connect them — supporting roughly 400 internal users across the business. It's a small team that balances high-volume day-to-day support with the systems work that keeps the business running. This role is designed to transform how our business systems team operates, driving a shift toward software-engineering-focused practices and methodology. As an early member of this evolving model, you will directly influence our technical architecture, development operations, and long-term engineering strategy. You will architect, build, and maintain solutions across Salesforce, NetSuite, and our integrated ecosystem. This position offers a greenfield development opportunity where you will own key technology and architectural choices. Using modern development tools, you’ll drive engineering efficiency while retaining end-to-end ownership—ensuring every solution meets the highest standards for quality, security, and production readiness. Your initial focus will involve building the skill-based quoting agent for our next-generation quoting workflow, followed by engineering the subscription and entitlement engine for the Pulse commercial framework. Partnering closely with our Business Systems Product Manager and technical peers, you will translate strategic business requirements into scalable, resilient architecture. Architect and deliver production-grade code across Apex, LWC, SuiteScript, and middleware solutions, enforcing rigorous architecture and security standards. Engineer robust automation pipelines and resilient API integrations spanning Salesforce, NetSuite, and core enterprise systems. Synthesize complex feedback from key stakeholders into iterative system enhancements and clear product roadmap contributions. Establish and enforce technical standards, security guardrails, and code reviews, ensuring full production readiness across all deliverables. Maintain thorough architecture and technical documentation to ensure long-term maintainability, scalability, and knowledge transfer across the organization. Engineer and own complex subscription and entitlement engines, managing high-stakes logic for proration, true-forward calculations, and co-term renewal cycles across Salesforce, NetSuite, and the Pulse platform. Translate complex commercial policy into technical logic, partnering with cross-functional stakeholders (Finance, Sales Operations, Customer Success) to ensure the system output aligns with business and financial requirements. 5 or more years of commercial software development experience, including experience with enterprise architectures like Salesforce or NetSuite. Deep proficiency in core computer science fundamentals, including system design, data modeling, and security design patterns. Critical technical judgment to audit AI-generated code rigorously for performance, edge cases, and architectural integrity before deployment. Proven ability to navigate ambiguity, drive alignment, and deliver scalable technical solutions from high-level operational concepts. Bachelor's degree in Computer Science, Software Engineering, or equivalent practical industry experience. Experience designing 'defensive' system architectures—building for error handling, auditability, and observability, specifically for scenarios where manual operational intervention is required. A collaborative mindset that values the speed of low-code platforms while maintaining the rigor of traditional software engineering. You are comfortable bridging the gap between 'out-of-the-box' configuration and custom code. Hiring in the UK, ideally for on-site in Cambridge or on the East Coast US for a remote position. Salary range for the US: $120,000-160,000 or c£100,000 for UK #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. 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. Due to rapid growth in our core AI capabilities, we are seeking an experienced Applied AI/ML Engineer (Agents) to design and build the intelligent agents that power our autonomous materials discovery engine. You will be instrumental in developing the "artificial brain" of our agentic materials discovery engine. This is responsible for orchestrating complex, closed-loop scientific workflows, autonomously making decisions, running simulations, and driving experimental campaigns to find breakthrough materials faster than ever before. Your work will directly accelerate CuspAI’s path to finding solutions for global sustainability challenges. • Design the agentic framework that powers our platform to discover new materials. This includes spanning dynamic, multi-stage simulation workflows from literature-grounded hypothesis generation through to computational and experimental validation, • Build the integration that connects agents to ML models, simulation engines, databases, and heterogeneous compute backends, • Design pipelines that let agents autonomously plan, schedule, execute, and interpret computational tasks at scale and over long periods of time, • Use expert annotations from the Chemistry team to drive targeted improvements in agent planning, retrieval, and decision-making, • Create evaluations to measure the effectiveness of agents, • Build agents that perform experimental design — applying Bayesian optimization, active learning, or related sequential decision-making methods to decide what to compute or measure next, and to balance exploration and exploitation across long-running discovery campaigns, • Help close the loop between simulation and physical experiments so that outcomes become durable knowledge — feeding back into what agents know and how their models reason — compounding across campaigns., • Develop strategies for multi-fidelity and multi-objective decision-making, where agents must trade off cost, time, and uncertainty across simulations and physical experiments, • Work closely with Chemists, Materials Scientists, and the rest of the Agent team to co-develop our core orchestration intelligence, • Work on customer projects and implement the direct needs required for these 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 CuspAI is building., • Proficiency in the modern ML ecosystem such as PyTorch or JAX, with experience taking ML-driven systems from prototype to production, • Strong software engineering skills (building systems at scale in a production environment): testing, modular design, CI/CD, and scalable ML operations in production environments, • If you have a PhD or Masters degree and 4-5 yrs industry experience this would be ideal, but we will also consider you if you have a PhD and slightly less experience in industry, • You have a proactive builder mentality with a bias toward shipping and iteration, • Willingness to learn about materials science, and in particular experimental chemistry - to learn the vocabulary of the discipline to meaningfully interact with other stakeholders, • Experienced in LLM-assisted programming, knowing its strengths and weaknesses thoroughly., • Experience applying ML models specifically for materials science, chemistry, or drug discovery applications, • Experience with agentic frameworks and building LLM-powered applications, • Experience with sequential decision-making methods — Bayesian optimization, active learning, bandits, or reinforcement learning — applied to real-world systems, • Advanced agentic-reasoning techniques: planning models, self-improving systems, multi-tool agents, or RLHF/RLAIF workflows This role could be based in our Cambridge, London, Amsterdam or Berlin offices, with the expectation of being in the office three days per week. Additionally, there may be regular travel required to our other offices for collaboration and project oversight. • 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 solving sustainability and climate-related problems through the creation and application of bleeding-edge SOTA technology and revolutionary techniques, • True interdisciplinary teamwork: Be part of a deeply collaborative environment bridging AI research, computational chemistry, and experimental science - work with world-class researchers and engineers who enjoy sharing knowledge and supporting each other CuspAI is an equal opportunities employer committed to building a diverse and inclusive workplace. We do not discriminate on the basis of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding), veteran status, or any other basis protected by applicable law. We actively encourage applications from all backgrounds and value the unique perspectives and contributions that diversity brings to our team. Please let us know if you require any specific adjustments during or after the interview process. We will do everything we can within reason to accommodate. #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. Due to rapid global growth, we are seeking an Labs Ecosystem Manager to grow our Labs Ecosystem and provide scientific-level expertise and technical guidance to uplevel the lab network in terms of bandwidth, capabilities, and autonomous workflows in a variety of materials disciplines. In this role you will be building our global intelligent Lab network to synthesise new materials developed with the Cusp Platform. You will work with the Lab Integration team to deliver technical enablement in the partner labs to accelerate a full loop AI discovery process with self-driving labs. Your main focus initially will be partnering closely with our Materials Foundry Ecosystem Partnership Manager and our Lab Integration team to identify and connect labs with our platform to drive closed loop discovery. Ecosystem Cultivation & Community Activation Design, coordinate, and host a comprehensive global lab engagement strategy including AI Materials Foundry lab members to support our Materials Discovery Programs. Build scalable lab partner collaboration frameworks to accelerate laboratory campaigns and achieve data-driven materials breakthroughs. Contribute to market intelligence by identifying and assessing potential new laboratory partners. Champion an automation mindset within our partnerships, driving the efficient integration of experimental workflows with our informatics layer. Cross-Cultural Operations & Project Management Manage engagement with global lab stakeholders and our Lab integration team to turn on more automated lab partners. Act as the lab operational bridge for our partnerships team, enterprise clients, and elite research institutions across Europe, the USA, and APAC. Coordinate cross-functional timelines between partnership teams, lab integration teams, and scientists. Interdisciplinary Collaboration Partner closely with our Director of Strategy & Operations, Lab Integration teams, and our AI Materials Foundry team to align ecosystem activities with our overarching roadmap. Collaborate with our internal Science teams to Identify missing experimental lab capabilities required to deliver on state-of-the-art (SOTA) materials discovery campaigns. Collaborate with our AI Research, Computational Chemistry, and Product teams to channel lab partner feedback directly into the development priorities of our agentic platform and lab connection platform. Provide support to our Lab Integration team in establishing data connections and data workflows with partner labs as needed. Hands-on experimental lab experience in a relevant technology areas such as Materials Science, Experimental Chemistry, or Semiconductor Foundries. Existing network or knowledge of potential new lab partners in the materials science/chemical industry or semiconductor industry, and academia. Demonstrable automation mindset and experience optimizing or building interfaces for laboratory workflows and processes. Proven ability to develop experimental campaigns based on defined objectives and data feedback in your area of expertise. Exceptional ability to communicate complex technical concepts effectively to both deeply scientific/technical audiences (AI researchers) and hands-on experimental teams (Chemists). Experience with high-throughput experiments (HTE), robotics, and commercial laboratory automation systems. This role could be based in our London or Berlin offices or our U.S. Bay Area office, but we could consider our other global office locations for the right candidate. There would be an expectation around you being in the office three days per week depending on which projects you’re working on at the time. Additionally, there may be regular travel required to partner sites and/or other locations for collaboration and project work. 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 solving sustainability and climate-related problems through the creation and application of bleeding-edge SOTA technology and revolutionary techniques True interdisciplinary teamwork: Be part of a deeply collaborative environment bridging AI research, computational chemistry, and experimental science - work with world-class researchers and engineers who enjoy sharing knowledge and supporting each other Join us in shaping the future of materials with AI. Together, we can create groundbreaking solutions for a more sustainable world. CuspAI is an equal opportunities employer committed to building a diverse and inclusive workplace. We do not discriminate on the basis of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding), veteran status, or any other basis protected by applicable law. We actively encourage applications from all backgrounds and value the unique perspectives and contributions that diversity brings to our team. Please let us know if you require any specific adjustments during or after the interview process. We will do everything we can within reason to accommodate. #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

At AstraZeneca, we put patients first and strive to meet their unmet needs worldwide. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. If you are swift to action, confident to lead, willing to collaborate, and curious about what science can do, then you're our kind of person. We are a global, science-driven biopharmaceutical company dedicated to discovering, developing, and delivering innovative medicines that enrich the lives of patients. Our R&D engine combines deep biology expertise with cutting-edge artificial intelligence to accelerate how we find and validate new drug targets — ultimately bringing life‑changing therapies to patients faster. The Discovery Centre (DISC) is AstraZeneca’s global corporate headquarters and flagship research and development facility, located on the Cambridge Biomedical Campus in Cambridge, UK. The DISC brings together scientists, engineers, laboratory specialists, technology experts, and corporate colleagues in a highly collaborative environment. The facility provides a modern working environment with advanced laboratories and research infrastructure, including robotics, high‑throughput screening, computational science, data-enabled research, and AI-supported technologies. Its location on the Cambridge Biomedical Campus provides access to a strong local network of healthcare, academic, and life‑sciences expertise, supporting professional development, external collaboration, and scientific exchange across the biomedical sector. The AI for Discovery — New Target Discovery team exists to surface novel drug targets that Oncology and BioPharmaceuticals R&D can act on. We accelerate discovery by building and deploying two core AI capabilities: agentic AI and predictive models of biology to accelerate new target decision making across AZ R&D. Our team supports both Oncology and BioPharmaceuticals therapeutic areas, sharing learnings across target discovery approaches and connecting new target strategy across AstraZeneca disease areas. We partner closely with therapeutic area scientists in Oncology, CVRM, Respiratory, Immunology, and Infectious Disease — as well as AI engineering and AI research teams. This is a hands‑on individual contributor role at the intersection of artificial intelligence and drug discovery biology. You will apply your technical skills in AI and biology to build, deploy, and evaluate agentic AI and predictive modeling tools that support new target discovery across AstraZeneca’s therapeutic areas. • Work with therapeutic area scientists to understand their challenges and apply agentic AI and predictive models to accelerate target identification and validation., • Build and deploy multi‑agent AI systems into therapeutic area workflows, translating AI capabilities into actionable scientific insights., • Develop, evaluate, and benchmark predictive foundation models for in silico biology — including perturbation prediction, virtual cell models, and preclinical efficacy forecasting., • Write production‑quality code, pipelines, and tools that the team and broader organization can rely on., • Collaborate effectively within cross‑functional project teams, communicating technical findings to both expert and non‑expert audiences., • Contribute to AstraZeneca’s external visibility through publications, conference presentations, and scientific collaborations., • PhD in computational biology, bioinformatics, AI/ML, systems biology, or a related quantitative discipline, or a Bachelor’s/Master’s degree with equivalent research experience. Candidates with additional post‑doctoral or industry experience are equally encouraged to apply., • Experience with agentic AI, LLM‑based reasoning systems, or multi‑agent architectures applied to scientific problems., • Experience with predictive AI modeling for biology — foundation models, graph neural networks, perturbation models, or virtual cell approaches., • Understanding of drug discovery biology: target identification, target validation, mechanism of action, or translational science., • Strong technical proficiency in Python (required); experience building production‑quality code, pipelines, and tools for scientific applications., • Hands‑on experience with deep learning frameworks (PyTorch, JAX, or equivalent) for model development and evaluation., • Effective communication of technical and scientific findings to diverse audiences., • Enthusiasm and persistence in applying AI methods to complex biological problems., • Experience with multi‑agent orchestration frameworks or scientific reasoning platforms., • Knowledge of targeted delivery modalities such as antibody‑drug conjugates (ADCs), bispecifics, or degraders., • Experience integrating multimodal biological data (genomics, transcriptomics, proteomics, functional genomics)., • Familiarity with clinical translation — biomarkers, patient stratification, or preclinical‑to‑clinical bridging., • Experience with cloud computing (AWS) and high‑performance computing environments., • Proficiency in R for statistical analysis or bioinformatics workflows., • Experience working in pharma or biotech R&D. At AstraZeneca when we see an opportunity for change, we seize it and make it happen, because any opportunity no matter how small, can be the start of something big. Delivering life‑changing medicines is about being entrepreneurial — finding those moments and recognising their potential. Join us on our journey of building a new kind of organisation to reset expectations of what a bio‑pharmaceutical company can be. This means we’re opening new ways to work, pioneering cutting edge methods and bringing unexpected teams together. Are you already imagining yourself joining our team? Good, because we can’t wait to hear from you. Our Social Media, Follow AstraZeneca on LinkedIn Follow AstraZeneca on Facebook Follow AstraZeneca on Instagram #LI-HYBRID 22-Oct-2026 30-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

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. Due to rapid growth, we are seeking a full-stack Product Engineer* to lead the inception and development of our internal application suite, serving as the foundational architect for the tools our world-class researchers use every day. *Note that you would be joining as a ‘Member of Technical Staff’, but the indicative job title above hopefully helps to explain the nature of this role. The role will be part of our Platform Engineering organisation. In this role you will be building the internal product ecosystem that streamlines and curates our proprietary discovery workflows, which is critical for accelerating our mission to solve global challenges through next-generation materials. Your main focus initially will be partnering with our VP of Product to define and build the first generation of internal applications from scratch, ensuring they are not just functional but curated as high-quality products. Over time, you will likely get involved in scaling these systems to support increasingly complex interdisciplinary data flows and potentially external-facing interfaces as our "search engine" for materials evolves. Product Inception & Internal Tooling Lead the development of a suite of internal applications, treating them as first-class products with a focus on usability and long-term scalability. Collaborate closely with the VP of Product to translate high-level research needs into technical roadmaps and intuitive software solutions. Own the end-to-end lifecycle of internal tools, from initial architecture and backend design to frontend deployment. #J-18808-Ljbffr

Climate change is the defining business challenge of our time, and we're here to solve it. Most decarbonisation solutions count emissions but do nothing to reduce them. We've changed that. We’re Neutreeno, an emissions-to-performance platform, born out of the University of Cambridge's Department of Engineering. We help companies with supply chains and production processes turn emissions data into operational insight, the kind that cuts costs, sharpens decisions, and unlocks genuine competitive advantage. For operations and finance, it's margin they can measure. For sustainability teams, it's progress they can prove. Same data, two audiences, one engine. We’re a fast-moving team that values EQ just as much as IQ. Autonomy, high ownership, speed and no-ego collaboration are at our core. We seek people who care deeply and are eager to work on solving problems bigger than themselves. As a Decarbonisation Model Engineer, you'll sit at the forefront of industrial decarbonisation, identifying, evaluating and modelling the technologies and process changes that cut carbon emissions across complex industries. The role is defined by system-level thinking: treating a client's processes, sites, energy supply and supply chain as one connected system, then finding where a change in energy use, material use or technology delivers the greatest reduction in emissions and cost. Working across sectors like jet engine production, electricity transmission and EV battery manufacturing, you'll sit at the intersection of engineering, sustainability, economics and data science. Your models become part of the product, putting a credible number on every lever: what it costs, what it returns, and what it is worth under today's and tomorrow's carbon prices. • Build bottom-up models from first principles that calculate bespoke decarbonisation levers at scale, accounting for cost, dependencies and implementation time., • Quantify energy and material efficiency opportunities, from heat recovery, electrification and utilities to yield losses, material substitution and circular design while identifying Best Available Technologies (BAT) for technology-specific cases., • Develop the techno-economic analysis behind each lever: CAPEX and OPEX, cost of abatement, marginal abatement cost curves, and sensitivity analysis that stands up to a client's finance team., • Develop our carbon pricing engine across the current pricing landscape (compliance markets, taxation, internal shadow pricing, CBAM) and model client exposure under different price scenarios., • Identify where decarbonisation creates value, including green premium pricing for low-carbon products and access to incentives and green finance., • Write clear, reproducible Python behind the models and mentor junior engineers., • Masters or PhD in Industrial, Chemical, Process or Mechanical Engineering., • 3+ years of industry or research experience in techno-economic modelling, with a strong focus on energy and material efficiency and emissions reduction., • Proven system-level thinking: able to reason about whole systems and identify where the biggest opportunity sits, rather than optimising components in isolation., • Deep working knowledge of energy and material efficiency in industry: heat integration, electrification and fuel switching, and how material flows, yield losses and substitution drive embodied emissions., • Strong command of carbon accounting and life cycle assessment, including Scope 1, 2 and 3 inventories, product carbon footprints and the relevant frameworks (GHG Protocol, ISO , SBTi, CBAM)., • Costing proficiency across techno-economic analysis (capex/opex, abatement cost, MACCs), project finance (NPV, IRR, payback, discount rates) and carbon pricing (ETS, carbon taxes, internal shadow prices)., • Expert Python for quantitative modelling (pandas, NumPy), with the discipline to make models reproducible, validated and version-controlled (Git/GitHub)., • Familiarity with using LLMs and agentic-AI workflows to build and enhance decarbonisation roadmaps., • Outstanding communication skills, with the ability to convey technical concepts to both technical and non-technical audiences., • Experience with process simulation software (e.g. Aspen Plus, HYSYS)., • Experience building marginal abatement cost curves or decarbonisation roadmaps for large industrial clients., • Knowledge of optimisation or machine learning applied to process optimisation and emissions reduction., • Competitive salary dependent on your skills, qualifications and experience, • 25 days annual leave., • Year-end performance bonus., • Meaningful equity stake. We want you to think and benefit like an owner as the company grows., • Company pension with NEST., • Leading private health insurance with WPA (the only Which? Recommended Provider for Private Medical Insurance)., • Cycle to work scheme., • A hybrid work model that fosters both teamwork and individual flexibility., • Remote working allowance of 2 weeks per year for personal travel, in addition to regular holiday policy., • Work from Neutreeno HQ at the Cambridge Institute for Sustainability Leadership, recognised by the FT as one of Europe's leading startup hubs., • Great on-site amenities (unlimited free coffee, regular events with global sustainability leaders, and more)., • Culture & Growth:, • A diverse, fast-growing team that has grown 200%+ YoY, recently closed a $5M seed round and been named one of Gartner's Coolest Vendor Innovations in Supply Chain Sustainability for 2026., • An open-minded, non-hierarchical culture where everyone vectors in the same direction and ideas and ownership matter., • The chance to work alongside world-class climate scientists and engineers on one of the most important problems of our time. Neutreeno is an equal opportunity employer committed to creating an inclusive workplace. #J-18808-Ljbffr

We’re looking for a curious, rigorous, problem-hungry platform engineer (who codes!) to carry the ball as we bring Ashby to the big leagues. Ashby builds software that lets talent teams build an efficient, delightful, respectful hiring process. Similarly, you’re an engineer who wants to build a “paved road” that excellent engineering teams can safely take to the moon and back. We have notable customers like Notion, Linear, Shopify, and Snowflake. Our growth and retention metrics are best-in-class among our peers: we have tens of millions in ARR, growing >100% year over year, over 2500 customers, very low churn, and many years of runway. We’ll share more details once we meet, but you now probably have a good idea as to why we're hiring for this role. We’ve listed this role twice: as a Platform Engineer and Site Reliability Engineer – our team does both, and we are open to candidates who lean towards one or the other. Hi I’m Colin, Head of EMEA Engineering. I’ve spent a number of years leading engineering teams in startups, and that has always included being close to infrastructure teams - no matter what name they’ve worn (SRE, infrastructure, platform, etc). I’ve got my hands dirty building the initial infrastructure for startups and know the value a talented infrastructure engineer brings. The rigour, the discipline, the peace and quiet when everything just hums along. Our infrastructure is in a good place for now. Nothing is static. Ashby continues to grow rapidly, putting strain on our existing infrastructure. We’re always looking to give our customers more powerful hiring software, and building new product features often requires new pieces of infrastructure. Having herded plenty of snowflakeservers in the past, I’ve learned there’s a better way. I (and Ashby) place a lot of value on infrastructure-as-code. As a Platform Engineer at Ashby, you’ll get to dive into scaling problems, add new capabilities to our platform, and think about how our entire team interacts with infrastructure. All our own engineers own their projects end-to-end and ship with minimal oversight. We don’t put roadblocks to ensure security when common sense will do and we don’t build processes like change management boards around the lowest common denominator. But with great power comes great responsibility: we handle personal and confidential data about some of the biggest decisions we ever make at work. As we grow, more and bigger customers rely on us to be reliable and secure and how we operate internally will need to evolve. We’re at an inflection point where our ability to scale and deliver a seamless experience has a make-or-break impact – we have some of the fastest growing companies using our platform every day to hire hundreds of people per month. We need someone like you to make good decisions, debug thorny issues, and build us a future-proof platform that can withstand this scale. Our small but mighty infrastructure team has set up a secure and simple environment (we don’t believe in spinning up a new service unless necessary!) for our growing product team to build in. That’s where you come in: you, too, will own projects end-to-end and have an impact on core parts of the Ashby developer and user experience. For instance, you could work on: • Optimize our homegrown ultra-dynamic recruiting DSL-to-SQL compiler, and create tools to help developers do so, • Create automated guardrails for the security and privacy of our customer data, • Help our developers ship features fast through canary deploys, gradual rollouts and feature flags, while keeping complexity manageable and reducing downtime, • Work with the business and the engineering team to define SLOs and implement the corresponding SLIs., • Ensure all communication with external services supports retries and circuit-breakers., • Implement the infrastructure to support an event-driven architecture and data warehouse. We’re looking for someone who can build systems that an engineer would like to work with: mature and boring but open-minded and approachable. We have to balance reliability with flexibility. Software and its availability are now mission critical to almost every working professional. To be in an SRE in today’s world, you have to be extremely comfortable evaluating risk, those you take and those others take. • You never stop. You get weirdly obsessed about a problem that doesn’t yet make sense, turn it every which way in your head until the explanation dawns. You’ll search every rock, inventory every clue, hunt every mismatch. We do that, too - together we’ll be armed with state-of-the-art monitoring tools and an impressive amount of data, and join you in the adventure., • You don’t take shortcuts. You’re speaking up for the future user, the edge case, the doomsday design. You know product engineers want to build it with you, and see them as allies, where you give them the power and knowledge to access greater things., • You’re someone who cares about what you do and the team you do it with, and want to work with others who do as well. You’ll be on interview panels choosing your next colleagues, and you’ll take that seriously. You only want to work with people who make you better, and want to make you better., • You’ve built infrastructure at a slightly later stage than Ashby is at - you know how to deal with millions of data points, have seen great (or not great) infrastructure make or break customer experience, and have automated everything from provisioning to monitoring and release process., • You’re a Swiss army knife (all nationalities welcome ). You’ll get every hard problem the company faces. You’ll get to do infrastructure updates, security enforcements, database optimization, Kubernetes debugging, and digging through Typescript traces figuring out what doesn’t work. You probably don’t feel like an expert at at least some of that... and that appeals to you. All that makes for a pretty specific kind of role, and the job isn’t to everyone’s tastes! You should not apply if: • You don’t want to make your own decisions on what is the best paved road to build for Ashby, and expect a lead or manager to make the final call on what that is. Our leads (and managers) give ample commentary and feedback on technical decisions and how they’re made, but you ship what you want to build and are accountable for it., • You hate SQL. We have a lot of features built around making the best out of data, and our platform engineers also sometimes dive into a gnarly report or advise engineers on a more performant data model to use., • You don’t want to code. Our SREs are some of our best software engineers and they are just as responsible for the application as the other engineering teams - albeit at a platform level. Reviewing code and submitting code changes will be part of your day to day., • Your primary mode of communicating best practices to engineers is live meetings. We’re a very async culture and written communication (and code) is how changes get made. As an Ashby SRE, you will need to share new tooling and best practices with engineers faster than your next meeting opportunity will take you., • You’ve never delivered a project, on your own, without someone prodding you for updates. We have no project or delivery managers to fill your calendar with busy work, but the flip side is you have to do your project management, seek the help you need to get unstuck and cut scope when it’s worthwhile. I’m sharing our tech stack with the caveat that we don’t require previous experience in it: TypeScript (frontend & backend), Node.js, React, Apollo GraphQL, Postgres, Redis. We use Datadog and Sentry on 100% cloud-based (AWS) infra. We take developer experience and reliability seriously: all engineers are on call in a follow-the-sun model, and everyone contributes to developer tooling. As engineers, we are used to tooling that makes us better at what we do. When we started Ashby, we saw the opposite with Talent Acquisition software. Recruiting teams were leveling up how they did their work, but instead of software meeting this new standard, it held them back. Scheduling a final round is an excellent example. Recruiting teams wanted to schedule candidates faster, track interviewer preparation and quality, and do it with half the headcount. A recruiter needed to manually collect availability from the candidate, identify qualified interviewers, perform “Calendar Tetris” to find who is available to interview the candidate, schedule on the earliest date possible, and make any last‑minute adjustments as availability changed. They must do this while considering the interview load on each individual and whether interviewers need to be trained and shadowing others. TA software didn’t help. As hiring managers, we know TA is a critical function, and as engineers, we know software can do better. So, we built and continue to build Ashby to give TA teams the highest standard of tooling. Software that’s intelligent and powerful. Software that provides insights into where they’re failing and automates or simplifies many of the tasks they’re underwater with. We want other functions and departments to be jealous of what TA teams can do with Ashby, and today they often are! Our Engineering Culture Is Motivated By Abhik And Benji’s (our Co-founders) Belief That a Small Talented Team, Given The Right Environment, Can Build High-quality Software Fast (and Work Regular Hours!). We Do It Through • Minimal process with ownership over decisions normally made by product and design, • Natural collaboration and deliberate communication, • Investing in tools and abstractions that give us leverage, • Putting effort into building a diverse team The best engineers we’ve worked with delivered reliably magical outcomes. They took customer problems and relentlessly drove them to solutions that were not only successful but often brilliant and creative. While they did this with minimal oversight, stakeholders were never in the dark as to what was going on, and no setback was a surprise. Traditional product-development processes aren’t meant for the best engineers. Their purpose is to create consistent outcomes regardless of the engineer’s skill. But, consistency comes at the expense of an engineer’s time and freedom—both ingredients necessary to generate those magical outcomes. As a result, process stifles the best engineers and doesn’t give others the opportunity to practice the behaviors that made the best engineers the “best.” At Ashby, we want to build an environment that encourages every engineer to be their best. So, at Ashby, every Engineer runs their project. Product Managers (and Designers) build strategy, do customer research, and hand off problem briefs to Engineers. Engineers take on the rest: they research the problem, write product specs, build wireframes, and implement their solution end-to-end. We rely on engineers, not process, to push information outward to the relevant folks (e.g., Product Managers) and pull folks in to help (e.g., Designers, Infra). It’s a new level of ownership for many engineers, but we’d rather an engineer fail a bit and coach up their skills than use process as a crutch. Not everyone succeeds in our culture, but those who do thrive. Our engineering team consists of lifelong learners who are talented but also humble and kind (meet them here!). These attributes create an environment where collaboration happens naturally. We combine this with research, prototyping, and written proposals to see around corners and get feedback from the team across time zones. Focus time is something that we hold sacred, and, with thoughtful and deliberate communication, engineers are in 2h meetings per week (Abhik wrote about it here). To Drive It Home, Here’s a Recent Calendar Of An Engineer Who Has Been With Us For Over 4 Years. ~34 Hours Of Focus Time, 2.5h Of Interviews, And 3.5 Hours Of Meetings We also meet in person at least twice a year, once as a department and once as a company. You also have a small budget to meet up with folks in your city/region. We Built Ashby With The Quality, Breadth, And Depth That Many Customers Would Expect From Much Larger Teams Over Larger Time Scales. We’ve Done This Through Investment In • Great developer tooling. Our CI/CD takes ~10m, and we deploy at least 15x a day. A debugger that works out of the box. Everyone on the team has contributed to our developer experience., • Building blocks to create powerful and customizable products fast. At the core of Ashby is a set of common components (analytics modeling and query language, policy engine, workflow engine, design system) that we constantly improve. Each improvement to a common component cascades throughout our app (short video below)., • AI-powered tooling. We think of AI as a way to automate the mundane parts of building and maintaining high-quality software. We use a combination of third‑party and internally built tools that, for instance, auto-triage customer issues, suggest fixes, prototype ideas, generate production‑ready code, and conduct code reviews. Engineers have an unlimited token budget (but are not measured on it). We write in detail about our philosophy, current use of AI, and future plans for AI in Engineering here. Diverse teams drive innovation and better outcomes. Having seen my mother and partner build their careers as minority women in non‑diverse fields, I want to make sure Ashby creates opportunities for the next generation of engineers from underrepresented groups. Today, 25% of engineers and 50% of our engineering leaders at Ashby are from underrepresented groups. We are taking conscious steps to improve, like sourcing diverse candidates, providing generous paid family leave, no leetcode interviews, and more. At Ashby, our team and interview process want to help you show your best self. We’ll dive into past projects and simulate working together via pair programming, writing product and tech specs collaboratively, and talking through decisions. There are no leetcode or whiteboard exercises. • Introduction call with Hiring Manager (15 to 30m, live), • A technical screen where we pair in our actual codebase (1h, live), • Three non‑coding interviews that focus on technical design, debugging incidents, and infrastructure (3h 15m, live can be split across multiple days) Depending on our leadership team’s bandwidth, we may start with an additional 30m screen with a recruiter. Your hiring manager will be your main point of contact and prep you for interviews. Each round will have written guidance so you know what to expect (you’ll need minimal preparation). You’ll meet 4 to 6 people in engineering (with 5-15 minutes in each interview to ask them questions). If we don’t give an offer, we’ll provide feedback! We want an exceptional onboarding experience for every new hire. At Ashby, your dev environment is set up with a single script, you push your first product change on day one, and you spend the rest of your time shipping product changes that give you a tour of our codebase and best practices. The product changes increase in scope and ambiguity from simple copy changes to the delivery of a prominent, impactful feature. Your manager will do a 30, 60, and 90-day review to give feedback and calibrate on how we work together. It’s a team effort to get you successfully onboarded; you’ll have a peer paired with you to answer questions, pair program, and check in often to see if you need help. The rest of the team will run training sessions on our culture, product, engineering process, and technical architecture. • Competitive salary and equity., • 10-year exercise window for stock options. You shouldn’t feel pressure to purchase stock options if you leave Ashby — do it when you feel financially comfortable., • Unlimited PTO, and we will encourage you to take it., • A minimum of 12 weeks of fully paid parental leave, covered by Ashby. For folks outside the US, it may be longer to be in line with regional requirements., • Generous equipment, software, and office furniture budget. Get what you need to be happy and productive!, • $100/month education budget with more expensive items (like conferences) covered with manager approval., • If you’re in the US, we offer top‑tier health insurance for you and your dependents, with 100% of premiums covered by Ashby. In other countries, we provide high‑quality supplemental health insurance for you and your dependents, also fully covered by us. Ashby’s success hinges on hiring great people and creating an environment where we can be happy, feel challenged, and do our best work. We’re being deliberate about building that environment from the ground up. I hope that excites you enough to apply. Ashby provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. Ashby is committed to a fair and transparent hiring process. We confirm that this advertisement is for an active, existing vacancy within our organization. Please be advised that we may use artificial intelligence-driven tools to assist our recruitment team in screening, assessing, and selecting candidates for this position. Compensation Range: £151K - £246K #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

Neat's Business Systems team owns the infrastructure behind how the company sells, bills, and supports its customers — Salesforce, NetSuite, and the integrations that connect them — supporting roughly 400 internal users across the business. It's a small team that balances high-volume day-to-day support with the systems work that keeps the business running. This role is designed to transform how our business systems team operates, driving a shift toward software-engineering-focused practices and methodology. As an early member of this evolving model, you will directly influence our technical architecture, development operations, and long-term engineering strategy. Your initial focus will involve building the skill-based quoting agent for our next-generation quoting workflow, followed by engineering the subscription and entitlement engine for the Pulse commercial framework. Partnering closely with our Business Systems Product Manager and technical peers, you will translate strategic business requirements into scalable, resilient architecture. You will architect, build, and maintain solutions across Salesforce, NetSuite, and our integrated ecosystem. This position offers a greenfield development opportunity where you will own key technology and architectural choices. Using modern development tools, you’ll drive engineering efficiency while retaining end-to-end ownership—ensuring every solution meets the highest standards for quality, security, and production readiness. • Architect and deliver production-grade code across Apex, LWC, SuiteScript, and middleware solutions, enforcing rigorous architecture and security standards., • Engineer robust automation pipelines and resilient API integrations spanning Salesforce, NetSuite, and core enterprise systems., • Synthesize complex feedback from key stakeholders into iterative system enhancements and clear product roadmap contributions., • Establish and enforce technical standards, security guardrails, and code reviews, ensuring full production readiness across all deliverables., • Maintain thorough architecture and technical documentation to ensure long-term maintainability, scalability, and knowledge transfer across the organization., • Engineer and own complex subscription and entitlement engines, managing high-stakes logic for proration, true-forward calculations, and co-term renewal cycles across Salesforce, NetSuite, and the Pulse platform., • Translate complex commercial policy into technical logic, partnering with cross-functional stakeholders (Finance, Sales Operations, Customer Success) to ensure the system output aligns with business and financial requirements., • 5 or more years of commercial software development experience, including experience with enterprise architectures like Salesforce or NetSuite., • Deep proficiency in core computer science fundamentals, including system design, data modeling, and security design patterns., • Critical technical judgment to audit AI-generated code rigorously for performance, edge cases, and architectural integrity before deployment., • Proven ability to navigate ambiguity, drive alignment, and deliver scalable technical solutions from high-level operational concepts., • Bachelor's degree in Computer Science, Software Engineering, or equivalent practical industry experience., • Experience designing 'defensive' system architectures—building for error handling, auditability, and observability, specifically for scenarios where manual operational intervention is required., • A collaborative mindset that values the speed of low-code platforms while maintaining the rigor of traditional software engineering. You are comfortable bridging the gap between 'out-of-the-box' configuration and custom code. Hiring in the UK, ideally for on-site in Cambridge or on the East Coast US for a remote position. Salary range for the US: $120,000-160,000 or up to £100,000 for UK. #J-18808-Ljbffr

Hi 👋 I’m Colin, Director of Engineering, Europe. How do you feel about engineers writing product specs, making product decisions, and not breaking down projects into individual tickets? If that sounds exciting (even if a bit scary), read on because I’m looking for an engineering manager to help us build a different type of engineering team and culture at Ashby. To start, why do we need to be different? Time and again, I have witnessed engineers knowing what needs to be done yet being unable to get things done because of “the process” or because “more data is needed.” Some of the most effective projects have been skunkworks projects, where engineers have taken total ownership of a problem and driven it to completion. I want to normalize that at Ashby. When we think about how these processes came about, we realize they carry a pessimistic mindset. They box people into smaller roles to minimize the chance of not meeting a certain standard. At Ashby. we’re building an environment that is optimistic about what engineers can own and achieve and embraces the innovative engineers (and frankly, often stays out of their way). To accomplish this, our engineering leaders need to think deeply about individual performance, process, and culture - not running sprint planning or driving product and technical decisions. You’ll focus on building your team, their skills to thrive with the ownership they’re given, and an environment that empowers them to do their best work consistently, with little distraction. For junior EMs we try to stay within 6 direct reports. This enables them to spend time with our teams observing, correcting, praising, and, yes, coding. We like our managers to be hands‑on while also making sure they’re not on the critical path. We’ve already gathered an experienced, talented, and collaborative team of 25+ engineers. You’ll help me manage the growing team of engineers in Europe. • Provide feedback on product and technical specs to help engineers identify where to cut scope or improve quality. You don’t make the final decisions, but you’ll influence and coach ICs to reach the right ones., • Grow engineers to the point where they can take large, loosely defined projects, and deliver them with little intervention. They still ask for help when needed - the difference is that they’re driving., • Jump into our systems and code to debug a customer issue, ship a small bug fix, or improve our developer experience. Engineering leaders at Ashby are great engineers and enjoy keeping their skills up-to-date (while staying off the critical path)., • Improve how we generate and simulate data in demo accounts. It’s a project off the critical path, but it helps you keep up‑to‑date on our codebase while immensely impacting the business, from Engineering to QA to Sales. I had two experiences early in my career that set me on my path. I had a great manager who asked tonnes of questions about the decisions I was making and coached me without me realizing it. And I had a terrible manager - being told to work harder after a week of 3am finishes was not what I needed as a young engineer. The stark difference between these two experiences motivated me to become a manager: I wanted every engineer I worked with to have the support I had in the best case. Since then, as I’ve learned more, I’ve realized that I love the kind of problems I get to solve as a manager. Deeply complex problems with long-term impact both on the company and on people’s lives. One of my proudest achievements is creating a fully transparent pay system, and on the day it was revealed, everybody was happy with it. Nobody stormed out. By spending time thinking deeply about everybody’s pay and ensuring the mechanics of promotion were clear, I put the team in a place where they could see a peer was paid more than them and it not be a problem. Despite all this, I love being technical. I sometimes indulge myself and spend a morning writing some code to improve tests or provide better abstractions. If I couldn’t be a manager, I’d be super happy to be an IC. I’m looking for someone who is passionate. Passionate about both management and being technical. Someone who spots a pattern amongst their team, figures out a better way for us to operate, and then builds the automation that powers it. I introduced a new process that enables engineers to merge 30% of PRs without a human review beforehand. I also built the automation that approves these PRs. I also built that automation with abstractions that make it easy for the engineers to improve the automation themselves. It can be hard to find seasoned engineering leaders who haven’t succumbed to the status quo in some way or another. We’re committed to giving all our people a total and utter lack of terrible managers, and that means we’re willing to take a chance on someone early in their leadership journey who’s courageous, principled, and has the drive to build themselves into a great leader who can say “Yah I know everyone is doing that, but we won’t because…” Engineering Leadership Comes In Many Flavors, Not All Of Which Fit Our Model. I Thought I’d Outline Some Things I’m Looking For To Help You Decide If This Fits What You’re Looking For • You love being technical and can hold in-depth conversations with direct reports from infra to backend to frontend., • You enjoy management problems. We want people who get excited about driving people to be their best, giving difficult feedback, and building systems that make this easier., • You hold your team to a high standard and don’t shy away from getting into the details and giving feedback, even to the best folks on your team., • You are an excellent and empathetic communicator. Facilitating change at both an individual and organization level requires understanding how to navigate the beliefs, opinions, and past experiences of engineers and figuring out how to both convince them of a new way of doing things while also leaving yourself open to feedback., • You know what exceptional engineers look like. You’ve thought deeply about what makes them tick, how to recruit them, and how to grow folks into them. I want to see depth here, the industry often regurgitates a vanilla description, but the reality is more nuanced., • You’re good at thinking about product, business, and maybe even design, but you’re not interested in calling the shots and are more interested in building a team that can make the best decisions without you., • You thrive in high-trust, high-autonomy environments. We’re a young startup where leaders wear multiple hats, and you’ll build your own (high-speed) on-ramp through developing strong feedback loops., • You don’t enjoy coding or don’t find time to stay up-to-date on technology., • You’ve gotten into management because it was the only growth path available., • You want to make all the product decisions instead of empowering your team to make those calls., • You’re happy with a team of engineers that are predominantly early-career, mid-career, or don’t thrive with ownership or autonomy. With enough guardrails, the team can get things done., • A staff or principal engineer to you is someone who spends most of their time project managing or doing architecture reviews., • You’re not optimistic or convinced that we can build a large engineering team that functions differently than the status quo. You think, at some size, common processes need to be implemented to ensure consistent product delivery (e.g., sprint planning, product managers writing in-depth specifications). You might not say it out loud, but you think, at some size, compromises have to be made for the sake of hiring numbers. Talent teams aspire to build a hiring process that identifies great candidates, moves them quickly through the interview process, and provides an excellent experience for the candidate. To accomplish this, recruiters perform thousands of daily tasks to coordinate and relay information between candidates, interviewers, and hiring managers. Teams struggle to keep up! Scheduling a final round is an excellent example of our customers' challenges. A recruiter needs to collect availability from the candidate, identify potential interviewers, perform “Calendar Tetris” to find who is available to interview the candidate, schedule on the earliest date possible, and perform any last-minute adjustments as availability changes. They must perform this while considering the interview load on each individual and whether interviewers need to be trained and shadowing others. Ashby provides talent teams with intelligent and powerful software that provides insights into where they’re failing and automates or simplifies many of the tasks they’re underwater with. We put a lot of effort into designing products that are approachable to beginners but mastered and extended by power users. In many ways, spreadsheets set the bar here. We have many customers, great revenue growth, years of runway, and amazing investors like YCombinator, Elad Gil, and Lachy Groom. I’ll share more once we meet. Our engineering culture is motivated by Abhik and Benji’s (our co‑founders) belief that a small talented team, given the right environment, can build high‑quality software fast (and work regular hours!). Our engineering team (and the team at large) consists of lifelong learners who are humble and kind (meet them here!). These attributes create an environment where collaboration happens naturally (we filter for it in interviews). We combine this with research, prototyping, and written proposals to see around corners and get feedback from the team across time zones. Focus time is something that we hold sacred, and, with thoughtful and deliberate communication, engineers can focus 36h out of a 40h work week (Abhik wrote about it here). Even managers can rely on getting consistent time (and support to make, if necessary) to focus and do creative work without the demand of constant meetings. We Built Ashby With The Quality, Breadth, And Depth That Many Customers Would Expect From Much Larger Teams Over Larger Time Scales. We’ve Done This Through Investment In • Great developer tooling. Our CI/CD takes ~10m, and we deploy at least 5x a day. Everyone on the team has contributed to developer experience., • Building blocks to create powerful and customizable products fast. At the core of Ashby is a set of common components (analytics modeling and query language, policy engine, workflow engine, design system) which we are constantly improving. Each improvement to a common component cascades throughout our app. Here’s an impromptu quote from Arjun in our company Slack of what it’s like to build a feature at Ashby: Give Engineers Ownership & Autonomy We, as engineers, find clever ways to solve problems, which amplifies when we deeply understand the problem. All of us in technical leadership did our best work as engineers when we had a deep understanding of the end‑user and the business and ownership over the solution. Our engineering culture reflects this experience: engineers own projects end‑to‑end, from speaking with users to writing product specs to UX design. These are skills that often don’t get to practice as engineers, and, as a manager at Ashby, you’ll provide mentorship and feedback to engineers to ensure they are successful when delivering projects. Diverse teams drive innovation and better outcomes. As the father of two young girls, I want to see them grow up in a world where all industries are open and welcoming to everyone, regardless of race, gender, or preferences. Helping to build a more diverse team at Ashby is my way of contributing to this change. Today, 26% of engineers at Ashby are from underrepresented groups. It’s not great, and we are taking conscious steps to improve, like sourcing diverse candidates, providing generous paid family leave, no leetcode interviews, and more. At Ashby, Our Team And Interview Process Want To Help You Show Your Best Self. We’ll Dive Into Past Projects And Simulate Working Together. Our Interview Process Is Six Interviews In The Following Order • Intro Call (30m) - Discuss your application questions, align on the responsibilities of the role, and answer questions about Ashby., • Past Experience Deep Dive (1h) - Discuss your past experience as an engineering leader., • Technical Screen (1h) - Add a feature back to Ashby. You’ll spend most of your time understanding a specific part of our codebase and write less than 15 lines of code., • Coffee Chat with VP of Engineering (1h) - Spend time with our VP of Engineering and get to know each other., • Meet the Team (2h) - At this point, the engineering leadership team is excited about you and you’ll meet our CEO, Engineers, Product Managers, and some other folks on the team. I will be your main point of contact and prepare you for interviews. If we don’t give an offer, we’ll provide feedback! I’m sharing our tech stack with the caveat that we don’t require previous experience: TypeScript (frontend & backend), Node.js, React, Apollo GraphQL, Postgres, Redis. • Competitive salary and equity., • 10-year exercise window for stock options. You shouldn’t feel pressure to purchase stock options if you leave Ashby —do it when you feel financially comfortable., • Unlimited PTO with four weeks recommended per year. Expect “Vacation?” in our one‑on‑one agenda until you start taking it., • Generous equipment, software, and office furniture budget. Get what you need to be happy and productive!, • $100/month education budget with more expensive items (like conferences) covered with manager approval. Ashby’s success hinges on hiring great people and creating an environment where we can be happy, feel challenged, and do our best work. We’re being deliberate about building that environment from the ground up. I hope that excites you enough to apply. Ashby provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. #J-18808-Ljbffr

• As a Software Engineer in the DMTE team, you’ll contribute to Roku’s platform innovation — implementing and optimizing BrightScript (or JavaScript-like) systems for graphics rendering and the FRAME engine, • You’ll tackle performance-critical challenges, ensuring our devices deliver smooth visuals and instant responsiveness at scale, • You’ll have the opportunity to learn about core architecture, work across the stack with hardware, firmware, and application teams, and see your work directly impact tens of millions of users, • This is a role for engineers who love technical problem-solving, care about performance, and want to work on technology that quietly powers an entire ecosystem, • Build scalable UI features optimized for millions of users, • Contribute to technical investigations and solutions for middleware and UI challenges, • Explore integrating AI/ML capabilities and leverage generative AI tools to accelerate development, • Collaborate with cross-functional teams on global platform features, • Develop engineering tools and learn from experienced developers, • Stay current with AI trends and emerging technologies, • Medical, wellness and financial benefits, • Free snacks and access to the company fitness center, • Unlimited paid time off policy, • Work from home opportunities, • Proficiency in Typescript, • Proactive mindset with passion for continuous learning and fast iteration, • Strong problem-solving and technical communication abilities, • C++ in an embedded environment experience, • 3+ years software engineering experience with UI development exposure, • Experience building agentic AI systems that generate, optimize, and deliver scalable applications in production environments #J-18808-Ljbffr

Contract Opportunity | Senior Quantitative Developer – Derivatives Pricing • Remote or Hybrid/London (Flexible), • 6-month initial contract (extension highly likely), • ASAP Start, • Competitive Day Rate up to £850 per day dependent on experience I'm supporting a specialist technology consultancy on an exciting engagement with one of their capital market clients, and we're looking for an experienced Quant or Commodity Pricing Engine Developer with a strong background in derivatives pricing and quantitative engineering. This is a hands-on opportunity to work on the development of sophisticated commodity and derivatives pricing technology within a complex trading environment. What we're looking for: • Electronic commodities experience is a must, • Strong experience in quantitative development, ideally within commodity or OTC derivatives., • Hands-on expertise in pricing model development, calibration and validation., • Strong programming skills in Python, C++ or Java., • Experience building or enhancing pricing engines, quantitative libraries, trade booking API or valuation platforms., • Solid understanding of derivatives pricing, financial markets and trading workflows. Additional experience that would be beneficial: • Electronic trading or real-time pricing environments., • Market data integration, including Bloomberg or similar providers., • Low-latency, high-performance financial applications., • RFQ workflows and trading system connectivity. We're particularly interested in speaking with developers who can bridge the gap between complex quantitative models and production-grade software engineering. Interested in finding out more? Please click apply if this sounds like you. JBRP1_UKTJ

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. 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. Due to rapid growth in our core AI capabilities, we are seeking an experienced Applied AI/ML Engineer (Agents) to design and build the intelligent agents that power our autonomous materials discovery engine. You will be instrumental in developing the "artificial brain" of our agentic materials discovery engine. This is responsible for orchestrating complex, closed-loop scientific workflows, autonomously making decisions, running simulations, and driving experimental campaigns to find breakthrough materials faster than ever before. Your work will directly accelerate CuspAI’s path to finding solutions for global sustainability challenges. • Design the agentic framework that powers our platform to discover new materials. This includes spanning dynamic, multi-stage simulation workflows from literature-grounded hypothesis generation through to computational and experimental validation, • Build the integration that connects agents to ML models, simulation engines, databases, and heterogeneous compute backends, • Design pipelines that let agents autonomously plan, schedule, execute, and interpret computational tasks at scale and over long periods of time, • Use expert annotations from the Chemistry team to drive targeted improvements in agent planning, retrieval, and decision-making, • Create evaluations to measure the effectiveness of agents, • Build agents that perform experimental design — applying Bayesian optimization, active learning, or related sequential decision-making methods to decide what to compute or measure next, and to balance exploration and exploitation across long-running discovery campaigns, • Help close the loop between simulation and physical experiments so that outcomes become durable knowledge — feeding back into what agents know and how their models reason — compounding across campaigns., • Develop strategies for multi-fidelity and multi-objective decision-making, where agents must trade off cost, time, and uncertainty across simulations and physical experiments, • Work closely with Chemists, Materials Scientists, and the rest of the Agent team to co-develop our core orchestration intelligence, • Work on customer projects and implement the direct needs required for these 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 CuspAI is building., • Proficiency in the modern ML ecosystem such as PyTorch or JAX, with experience taking ML-driven systems from prototype to production, • Strong software engineering skills (building systems at scale in a production environment): testing, modular design, CI/CD, and scalable ML operations in production environments, • If you have a PhD or Masters degree and 4-5 yrs industry experience this would be ideal, but we will also consider you if you have a PhD and slightly less experience in industry, • You have a proactive builder mentality with a bias toward shipping and iteration, • Willingness to learn about materials science, and in particular experimental chemistry - to learn the vocabulary of the discipline to meaningfully interact with other stakeholders, • Experienced in LLM-assisted programming, knowing its strengths and weaknesses thoroughly., • Experience applying ML models specifically for materials science, chemistry, or drug discovery applications, • Experience with agentic frameworks and building LLM-powered applications, • Experience with sequential decision-making methods — Bayesian optimization, active learning, bandits, or reinforcement learning — applied to real-world systems, • Advanced agentic-reasoning techniques: planning models, self-improving systems, multi-tool agents, or RLHF/RLAIF workflows This role could be based in our Cambridge, London, Amsterdam or Berlin offices, with the expectation of being in the office three days per week. Additionally, there may be regular travel required to our other offices for collaboration and project oversight. • 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 solving sustainability and climate-related problems through the creation and application of bleeding-edge SOTA technology and revolutionary techniques, • True interdisciplinary teamwork: Be part of a deeply collaborative environment bridging AI research, computational chemistry, and experimental science - work with world-class researchers and engineers who enjoy sharing knowledge and supporting each other CuspAI is an equal opportunities employer committed to building a diverse and inclusive workplace. We do not discriminate on the basis of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding), veteran status, or any other basis protected by applicable law. We actively encourage applications from all backgrounds and value the unique perspectives and contributions that diversity brings to our team. Please let us know if you require any specific adjustments during or after the interview process. We will do everything we can within reason to accommodate. #J-18808-Ljbffr

• Design, build, and maintain the Python services through which external applications, engines, and infrastructure are integrated and managed inside Foundry: manifest schemas and validation, catalogs and versioning, install/upgrade/remove lifecycles, configuration and secrets handling, health reporting, and the REST APIs that expose them to the Foundry UI and CLI., • Define the integration contract that lets an external engine plug into Foundry's IAM, metadata layer, and UI once, and drive the first integrations through it., • Own Foundry's deployment packaging (Helm charts, operators, offline bundles) and keep the platform installable, upgradable, and supportable across Kubernetes distributions, cloud providers, sovereign clouds, and air-gapped environments., • Integrate Foundry with customer-side infrastructure: OIDC/SAML identity providers, object storage, container registries, ingress and network policy, and GPU scheduling., • Own the CI/CD pipelines, release process, and multi-environment integration test matrix that validate every supported deployment target., • Instrument the platform and installed apps with metrics, logs, and traces, and write the runbooks needed to operate and support production deployments., • Turn prototypes and one-off integrations into stable, documented, versioned services and tooling that other teams and customers can rely on., • 5+ years in platform, infrastructure, or backend engineering, with at least 2 years shipping and operating production workloads on Kubernetes., • 3+ years writing production Python: you have owned backend services end to end, including API design, data models, testing, and packaging, not only automation scripts., • Experience building and maintaining REST APIs in a modern Python framework (FastAPI, Django REST Framework, or similar), including versioning, authentication, and input validation (Pydantic or equivalent)., • Experience with Python data access and migrations (SQLAlchemy, Alembic, or equivalent) on PostgreSQL, and with schema design., • Comfortable with async Python, structured logging, and writing testable code with Pytest; you use type hints and linters as a matter of course., • Experience interacting with Kubernetes and cloud APIs programmatically from Python (Kubernetes client, Boto3, or equivalent), for example building installers, controllers, or operational tooling., • Deep, hands‑on experience with Helm and Kubernetes packaging; you have written and maintained charts that other people install., • Experience deploying software into environments you do not control: on‑premises, private cloud, or restricted‑network/air‑gapped installs., • Experience with AWS: EKS, ECR, RDS, S3, Secrets Manager., • Experience integrating with enterprise identity (OIDC, OAuth2, SAML) and managing secrets and configuration in production., • Solid understanding of Docker, image building and hardening, and container registries., • Proficiency with Git and CI/CD pipelines (GitLab CI or GitHub Actions)., • A product-oriented mindset: able to turn R&D scripts or prototypes into stable, usable services., • Experience writing Kubernetes operators or controllers (in Python with kopf, or in Go), or with GitOps tooling (ArgoCD, Flux)., • Experience building plugin, extension, or app‑store style systems: manifest formats, lifecycle hooks, dependency and version resolution., • Experience publishing Python packages or CLIs that others install (packaging, versioning, backwards compatibility)., • Experience with GPU workloads on Kubernetes (device plugins, node scheduling, NVIDIA GPU Operator) and with LLM serving tools (vLLM, Triton, NIM)., • Familiarity with observability tooling (Prometheus, Grafana, OpenTelemetry) and with exposing it for third‑party components., • Exposure to ML orchestration tooling (Flyte, Airflow, MLflow, SkyPilot)., • Go, and a track record of contributing to open‑source infrastructure projects., • Indefinite contract., • Variable performance bonus., • Signing bonus., • We offer work visa sponsorship (If applicable)., • Relocation package (if applicable)., • Private health insurance., • Flexible remuneration: hospitality and public transportation., • Flexible working hours. #J-18808-Ljbffr

ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future. Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career. AMD is looking for a talented and motivated Software Engineer to join our automation infrastructure team. This is a pure software / infrastructure role: you will design, build, and maintain the automation platform that runs large-scale test execution across Linux and Windows environments and hardware emulation platforms. The tests themselves – validation, design, and other workloads – are owned by their respective teams; your focus is the framework, execution engine, CI pipelines, scheduling, and reporting that reliably run those tests at scale and surface results. You will not be doing hardware design or writing the tests; instead you will build the robust, scalable systems that the validation, design, and tools teams depend on every day to qualify next-generation products across AMD’s server, data center, client, and embedded markets. This role is ideal for an engineer who enjoys building infrastructure, improving developer productivity, and operating systems at scale. You have a passion for building robust, scalable software systems and a genuine interest in developer productivity and infrastructure at scale. You think like a systems engineer, taking pride in the reliability and turnaround time of the platforms you build. You are a team player with excellent communication skills and experience collaborating with engineers across different sites and timezones. You have strong analytical and debugging skills, are pragmatic about tradeoffs, and are always ready to learn new tools and take on new problems. • Design, build, and maintain continuous integration and regression environments that run large-scale test suites – owned by validation, design, and other teams – across Linux and Windows platforms., • Design and maintain a scalable execution engine to efficiently utilize machine and storage resources., • Design and maintain databases to manage assets, releases, and results., • Integrate and support hardware emulation platforms as an execution target within the automation flow., • Improve our validation automation eco-system and infrastructure., • Influence and align other tools teams to converge on common CI / regression methodologies., • Collaborate with other tools teams, Architects, and the Design & Verification team to ensure quality releases and clear presentation of complex results., • Solid software engineering experience building automation, tooling, or infrastructure, with strong proficiency in Python and shell scripting., • Hands‑on experience developing and maintaining software across both Linux and Windows environments., • Experience designing or operating regression / CI systems (e.g., Jenkins, GitLab CI, or equivalent) and job schedulers such as LSF or Slurm., • Experience designing databases and services to manage large volumes of assets, releases, and results, and building reporting / dashboards over them., • Experience with QEMU or similar software emulation/virtualization platforms for running and scaling test workloads, • Comfort operating compute and storage resources at scale, optimizing throughput, reliability, and turnaround time., • Working knowledge of version control (Git), build systems, and general DevOps / release‑engineering practices., • Familiarity with running workloads on hardware emulation platforms (e.g., Synopsys ZeBu, Cadence Palladium, or Siemens Veloce) as an execution target is a plus., • Strong problem‑solving and debug skills, with the ability to work both independently and as part of a distributed, global team., • Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electronic / Electrical Engineering, or a related field., • Cambridge, United Kingdom or Gdansk or Warsaw (Poland) Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee‑based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third‑party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy. #J-18808-Ljbffr

At AMD, we believetechnology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMDis shapingthefuture. Whetheryou’redesigning next-gen processors, enabling AI breakthroughs, orbringing leading edge products to market, every role at AMD contributes to something bigger— technologythat moves the world forward.Join us and, together, we’ll advance your career. AMD is looking for a talented and motivated Software Engineer to join our automation infrastructure team. This is a pure software / infrastructure role: you will design, build, and maintain the automation platform that runs large-scale test execution across Linux and Windows environments and hardware emulation platforms. The tests themselves – validation, design, and other workloads – are owned by their respective teams; your focus is the framework, execution engine, CI pipelines, scheduling, and reporting that reliably run those tests at scale and surface results. You will not be doing hardware design or writing the tests; instead you will build the robust, scalable systems that the validation, design, and tools teams depend on every day to qualify next-generation products across AMD’s server, data center, client, and embedded markets. This role is ideal for an engineer who enjoys building infrastructure, improving developer productivity, and operating systems at scale. You have a passion for building robust, scalable software systems and a genuine interest in developer productivity and infrastructure at scale. You think like a systems engineer, taking pride in the reliability and turnaround time of the platforms you build. You are a team player with excellent communication skills and experience collaborating with engineers across different sites and timezones. You have strong analytical and debugging skills, are pragmatic about tradeoffs, and are always ready to learn new tools and take on new problems. • Design, build, and maintain continuous integration and regression environments that run large-scale test suites – owned by validation, design, and other teams – across Linux and Windows platforms., • Design and maintain a scalable execution engine to efficiently utilize machine and storage resources., • Design and maintain databases to manage assets, releases, and results., • Integrate and support hardware emulation platforms as an execution target within the automation flow., • Improve our validation automation eco-system and infrastructure., • Influence and align other tools teams to converge on common CI / regression methodologies., • Collaborate with other tools teams, Architects, and the Design & Verification team to ensure quality releases and clear presentation of complex results., • Solid software engineering experience building automation, tooling, or infrastructure, with strong proficiency in Python and shell scripting., • Hands-on experience developing and maintaining software across both Linux and Windows environments., • Experience designing or operating regression / CI systems (e.g., Jenkins, GitLab CI, or equivalent) and job schedulers such as LSF or Slurm., • Experience designing databases and services to manage large volumes of assets, releases, and results, and building reporting / dashboards over them., • Experience with QEMU or similar software emulation/virtualization platforms for running and scaling test workloads, • Comfort operating compute and storage resources at scale, optimizing throughput, reliability, and turnaround time., • Working knowledge of version control (Git), build systems, and general DevOps / release-engineering practices., • Familiarity with running workloads on hardware emulation platforms (e.g., Synopsys ZeBu, Cadence Palladium, or Siemens Veloce) as an execution target is a plus., • Strong problem-solving and debug skills, with the ability to work both independently and as part of a distributed, global team., • Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electronic / Electrical Engineering, or a related field, • Cambridge (UK) or Poland Benefits offered are described: AMD benefits at a glance AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy. #J-18808-Ljbffr

Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease. The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery. Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture. The world we want tomorrow is the one we’re building today. It starts with the culture at this company. It starts with you. Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases. We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design. Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI. The Preclinical Development team accelerates the delivery of high quality candidates by developing innovative and creative AI-first solutions. Through collaboration with the entirety of the drug discovery disciplines and the ML researchers, we ensure that safety, druggability and developability are at the heart of our drug design engine. We shape the development of state-of-the- art toxicology predictive models. We rethink drug discovery from HitID to First in Human trials by optimising the context of use of these models. As a Toxicology Lead, you will develop the safety assessment strategy of drug discovery and development projects from inception to regulatory submission. Working closely with the drug design platforms (small molecules and biologics), you will drive the optimisation of Iso’s assets with an AI-first approach in mind. In addition, you will guide the development of our AI predictive toxicology platform in order to increase the probability of success of Iso’s assets and contribute to the reduction of animal testing in drug discovery, in collaboration with the AI/ML research and data strategy teams. If you are an experienced, innovative and ambitious scientist looking to play an active part in the AI-driven transformation of the pharmaceutical industry, joining Isomorphic Labs will lift you out of your comfort zone and provide an amazing opportunity for personal growth and development. • Design and implement safety assessment strategies with an AI-first approach to support small molecules and biologics drug discovery projects., • Design screening cascades and mechanistic experiments to support project progression in a data-driven manner., • Develop SAR understanding of toxicology main liabilities to optimise chemical and biological matter where needed., • Define regulatory safety assessment packages to support successful acceptance by regulatory agencies., • Author toxicology sections of regulatory documents., • Partner with Machine Learning colleagues to build the predictive toxicology aspects of the drug design platform and identify, generate and analyse data from which to develop and improve predictive toxicology models., • Identify state-of-the- art technologies and methods that could bring transformational benefits to our platform or ways of working., • Since Isomorphic Labs outsource all wet-lab work to external vendors, you will maintain and develop close relationships with the CRO network to:, • Ensure high quality and timely data generation to support our portfolio projects., • Leverage the scientific expertise of our external collaborators to enhance the team's impact., • Oversee the delivery of data generation campaigns purposefully designed to support the development of AI-based toxicology models., • Mentor junior members of the team., • Embrace and champion a culture of inclusion and continuous professional development., • Ph.D. in Toxicology, Pharmacology, Biology, or DVM/MD with relevant experience., • Board Certification., • Extensive professional experience working in a senior toxicology role across different therapy areas within the biotech or pharma setting., • Demonstrated experience filing successful INDs/CTAs for both small molecules and biologics., • Deep understanding of Global Regulatory Guidelines regarding safety assessment., • Experience of partnering closely with Discovery and Clinical teams., • Excellent communication (written and verbal), interpersonal and influencing skills, with an ability to work effectively in a cross-functional, collaborative team environment., • Track record of creative problem solving with a strong growth mindset, adaptability, willingness to challenge conventional thinking and eagerness to learn new concepts., • Experience with peptides and other new modalities., • Good understanding of machine learning techniques., • Familiarity with Python and KNIME. We are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it. Thoughtful Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day. Brave Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less. Determined Determined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we. Together Together at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere. We believe that to be successful we need a team with a range of skills and talents. We're building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, andwould require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call. Please note that when you submit an application, your data will be processed in line with our privacy policy. #J-18808-Ljbffr

Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease. The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery. Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture. The world we want tomorrow is the one we’re building today. It starts with the culture at this company. It starts with you. Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases. We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design. Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI. As Senior Legal, Clinical, you will play a pivotal role in advancing our drug candidates into and through clinical development. Working as part of our global legal function, and embedded directly alongside our clinical operations and development teams in Cambridge, you will serve as the dedicated legal partner driving the drafting, negotiation and execution of high-volume, critical clinical research agreements. Your expertise will safeguard IsoLabs' intellectual property and regulatory posture, while accelerating clinical trial initiation, directly contributing to our mission of bringing AI-designed medicines to patients at digital speed. • Draft, review, negotiate and execute a wide variety of clinical research agreements, including Clinical Trial Agreements (CTA), Master Service Agreements (MSA), investigator agreements, site contracts, laboratory service agreements, clinical supply agreements and patient and subject-related agreements., • Serve as the primary, day-to-day legal business partner embedded directly alongside the Clinical Development team., • Partner with internal stakeholders to establish, scale and optimise standardised clinical contracting playbooks and template libraries to streamline study start-up timelines., • Identify, manage and mitigate legal, regulatory, intellectual property, data privacy, and compliance risks across global clinical operations., • Collaborate closely with cross-functional Legal & Business Operations colleagues (IP, Corporate Legal and Privacy) to ensure end-to-end alignment on trial governance and data rights., • Manage outside counsel and clinical transactions legal budget., • Proactively evaluate, pilot, and embed cutting-edge AI technologies into the clinical contracting lifecycle to accelerate legal operations., • J.D. or equivalent law degree with active U.S. state bar admission in good standing (Massachusetts Bar or eligible for in-house registration in MA)., • Substantial, direct experience structuring, drafting, and negotiating complex clinical trial agreements, Master Service Agreements (MSA), investigator agreements, site contracts, laboratory service agreements, clinical supply agreements and patient and subject-related agreements., • Experience gained either within a biotechnology/pharmaceutical in-house legal department or a specialised life sciences law firm practice., • Expert knowledge of clinical trial execution, CRO outsourcing models and regulatory guidelines (GCP/ICH)., • Proven ability to work autonomously and prioritise a high volume of transactions in a fast-paced, high-growth environment., • Strong collaborative mindset with exceptional stakeholder communication skills, tailored to embedding directly with scientific, medical and clinical operations teams., • Familiarity with global and multi-jurisdictional clinical trial contracting landscapes (US, UK, and EU regulatory frameworks)., • Experience navigating clinical data rights and IP provisions at the intersection of computational biology, data-intensive research, or AI-driven platforms. We are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it. Thoughtful Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day. Brave Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less. Determined Determined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we. Together Together at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere. We believe that to be successful we need a team with a range of skills and talents. We're building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call. #J-18808-Ljbffr

Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease. The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery. Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture. The world we want tomorrow is the one we're building today. It starts with the culture at this company. It starts with you. Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases. We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design. Every day, and with each new breakthrough, we're getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI. Isomorphic labs are seeking exceptional individuals to join a highly impactful Translational Biology sub-team, within our Translational Sciences team. This role is ideal for an experienced translational biologist with a skill for designing fit-for-purpose screening cascades to provide robust experimental evidence that our ML-designed medicines will have the desired therapeutic product profiles (TPPs). This is an exciting opportunity to work closely with world leading ML and drug discovery experts to develop imaginative new ways to test biological hypotheses, building a deep mechanistic understanding of drug target interactions in disease to drive our projects forward. You will be responsible for establishing and implementing translational strategies, advancing our oncology, immunology and partnership portfolios from early drug discovery through to candidate selection and ultimately to clinical phase work. You will serve as a vital link between computational biology and experimental validation, driving progress within a fully externalized model supported by CRO partnerships. You will have experience of working broadly across drug discovery projects and have the ability to think originally and critically, knowing when to apply innovative ideas, and think with a fresh approach. • Oversee the comprehensive planning, methodology development, fiscal management, and implementation of target-specific in vivo pharmacology, PK/PD, and safety assessments throughout our project portfolios., • Design robust translation strategies explicitly geared toward clinical translation, leveraging datasets and biomarkers to inform patient selection frameworks., • Play a critical role in defining the most appropriate model paradigm (in vivo, ex vivo patient-derived tissue etc) for each project’s translational package, including developing a biomarker strategy to deliver early clinical proof of concept., • Work with CROs to design decision-making experiments, and deliver the highest quality biological data to inform the path to the clinic., • Provide scientific expertise to the ML and computational biology teams, to support the development of world-leading models of biological systems., • Distill biological data into useful insights and recommendations for project leaders, project team members, and partners., • Be closely integrated within or lead projects to provide strategic input to deliver project success., • Analyze and interpret experimental data to deliver high-quality reports that drive go/no-go decisions and support IND regulatory filings., • Act as a vital bridge between computational prediction and experimental reality, collaborating closely with:, • ML and Data Science Teams: To translate in silico predictions into physical validation protocols and provide clean data loops to train future models, iteratively improving the predictive accuracy of our proprietary drug design platform., • Discovery Biology and Lead Optimization: To seamlessly transition hits generated by our drug design engine into advanced preclinical characterization and guide SAR-driven design cycles with rapid, reliable preclinical efficacy data., • DMPK and Toxicology: To align in vivo efficacy with ADME and exposure data, informing safety windows and dose selection., • Clinical Development and Program Management: To translate preclinical PK/PD hypotheses into first-in-human trial designs, biomarker strategies, and patient inclusion criteria., • Ph.D. in Pharmacology, Immunology, Cancer Biology, Molecular Biology, or a related scientific discipline., • Deep understanding of target, mechanism, and disease interdependencies, preferably in oncology or immunology., • Expert knowledge of innovative translational models, particularly in oncology and/or immune disorders., • Extensive pharma/biotech experience developing Target Product Profiles (TPPs) and converting them into biological screening cascades, to guide impactful drug development., • Proven track record in constructing translational data packages and biomarker strategies to inform clinical trial design., • Experience in designing PK/PD experiments for human dose prediction and collaborating with ADMET, formulation, and clinical specialists to refine strategies., • Ability to phase translational biology activities collaboratively, considering interdependencies to generate relevant data efficiently., • Proven track record managing multi-vendor CRO networks (including contract negotiation, timeline accountability, and data quality oversight) and the ability to lead and influence teams without direct authority, setting technical direction and driving execution across matrixed, externally-dependent programs., • Dynamism and agility, with ability to work across several projects and therapeutic areas., • Exceptional project management skills with the ability to manage multiple complex external studies simultaneously., • Effective communication across a broad interdisciplinary team, working with key stakeholders with different skills and backgrounds., • Experience of leading biology within drug discovery programs, ideally from inception to clinical candidate delivery., • Track record of driving strategic de-risking and SAR strategies, collaborating effectively across disciplines, including medicinal chemistry and DMPK. Good understanding of medicinal chemistry concepts., • General knowledge of machine learning modelling applied to biological systems and drug discovery., • Solid understanding of the competitive landscape in oncology and/or immunology or inflammation. We are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it. Thoughtful Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day. Brave Brave at Iso is about fearlessness, but it's also about initiative and integrity. The scale of the challenge demands nothing less. Determined Determined at Iso is the way we pursue our goal. It's a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won't wait, so neither should we. Together Together at Iso is about connection, collaboration across fields and catalytic relationships. It's knowing that transformation is a group project, and remembering that what we're doing will have a real impact on real people everywhere. We believe that to be successful we need a team with a range of skills and talents. We're building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. It's hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, andwould require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you're in). If you have additional needs that would prevent you from following this hybrid approach, we'd be happy to talk through these if you're selected for an initial screening call. Please note that when you submit an application, your data will be processed in line with our privacy policy. #J-18808-Ljbffr

Roku in Cambridge is seeking a Software Engineer to contribute to BrightScript/JavaScript-like systems for graphics rendering and the FRAME engine. You will tackle performance-critical challenges to deliver smooth visuals and instant responsiveness at scale. You will work across the stack with hardware, firmware, and application teams, building scalable UI features for millions of users and exploring AI-driven enhancements to accelerate development. #J-18808-Ljbffr

Join EWOR, a network of serial entrepreneurs, to build a €1B+ company. We are hiring ambitious entrepreneurs to start and scale their own Web 3 startups. Our offer: • A salary while you build your startup, directly employed by us, or up to €500k in funding., • 1:1 sparring with unicorn founders weekly., • Community: Access to the top 0.1% of founders, peers and investors., • Team building: Hiring top talent supported through our network (over 50,000 professionals)., • Distribution: Support in achieving product‑market‑fit and building a sales/marketing engine., • Funding support for securing multi‑million euro rounds within 12 months; EWOR Fellows average > €2M after our Grand Pitch. One of our fellows set a record for Europe’s largest pre‑seed round by a first‑time founder, securing a €12M pre‑seed investment. • Own, build, and run your startup in Web 3 or related fields., • Embark on an extensive personal development journey crafted by unicorn founders, improving goal, time, and energy management., • Leverage our network to hire talent and receive best practices from serial entrepreneurs., • Receive intensive coaching to ready your startup for millions in funding., • Iterate product until product‑market‑fit and build up a sales force or marketing engine., • Based in Europe, the Americas, or open to relocate., • Willing to take full responsibility for your own startup and scale it to €100M+ in revenue., • Excellent communication skills in English. Executive Contract Other Administrative and Support Services Join us and build a €1B+ company with us! Referrals increase your chances of interviewing at EWOR by 2x. #J-18808-Ljbffr

Hi 👋🏾 I’m Abhik, Ashby's Co-Founder and VP of Engineering. We’re looking for an ambitious full‑stack engineer who is laser‑focused on solving customer problems and making the right long‑term investments to solve them not only today but in our future features and products. What Ashby gives you in return is the best of both early and growth‑stage environments. The agency and no‑nonsense of a seed startup: you write product specs, make product and design decisions, and build in an almost‑no‑meeting culture. While also the product‑market fit and scale of a growth‑stage startup: tens of thousands of daily users who depend on your software and eagerly await your next feature. We have notable customers like Notion, Linear, Shopify, and Snowflake. Our growth and retention metrics are best‑in‑class among our peers: we have tens of millions in ARR, growing >100% year over year, very low churn, and many years of runway. We’ll share more details once we meet. You’ve probably seen this role posted before, and it’s because we’re always expanding the team (we’re on track to double this year). We’re bubbling with ideas on how to support Talent Acquisition through software, and we’ve started the journey of building products beyond Talent Acquisition. We read every application and aim to respond to yours within 3‑4 days (often sooner). Our engineering culture strives to recreate the environments where we did our best work as ICs – where we had the ownership and agency to impact our users with creative and innovative software. I started my career building software for artists in the Visual Effects industry. It was a formative experience for me as a software engineer because success relied on my ability to be a product manager and designer. I talked to artists to understand their needs. I came up with ideas. I did industry research, designed interfaces, and prototyped ideas. I watched artists use what I built and decided what to tackle in the next iteration. No daily stand‑ups, no t‑shirt sizing, no planning meetings. I studied computer science to solve problems, not tickets, and this felt exactly like that. I not only felt creative and fulfilled but the agency and ownership we were given as engineers powered an incredible amount of innovation. Innovation came differently (or not at all) at technology startups beyond the seed stage, often through an engineer’s force of will and ability to push back against culture (rather than any encouragement from it). Engineering was narrowed to implementation and delivery, partly due to the influence of other departments and partly due to the influx of "Agile" processes like sprint planning. In those companies, I felt like a JIRA jockey. At Ashby, we’re building an environment that is optimistic about what engineers can own and achieve. An environment that embraces innovative engineers, and, frankly, often stays out of their way. As a Product Engineer, you’ll take ownership over a large portion of one of our products and own projects end‑to‑end (wearing hats traditionally worn by product and design). You’ll research competitors, write product specs, make wireframes, and more. To ground it with examples, product engineers at Ashby have: • Designed and built automated interview scheduling. This feature automates scheduling by calculating possible times from a pool of interviewers and other constraints, and then presenting these times to the candidate for selection via our responsive web app. This solves the "Calendar Tetris" problem I talk about in "What We're Building.", • Built a generalized declarative filter architecture that allows users to create complex filters for any record with a consistent UI and compile it to SQL in our backend. Many user‑facing features use it., • Specced, designed, and implemented a feature that allows users to complete signing offers entirely within Ashby. This project involved talking to customers to understand their requirements, deciding what technologies to use, building a prototype, and working with other team members to integrate the final implementation into additional features. As engineers, we are used to tooling that makes us better at what we do. When we started Ashby, we saw the opposite with Talent Acquisition software. Recruiting teams were leveling up how they did their work, but instead of software meeting this new standard, it held them back. Scheduling a final round is an excellent example. Recruiting teams wanted to schedule candidates faster, track interviewer preparation and quality, and do it with half the headcount. A recruiter needed to manually collect availability from the candidate, identify qualified interviewers, perform "Calendar Tetris" to find who is available to interview the candidate, schedule on the earliest date possible, and make any last‑minute adjustments as availability changed. They must do this while considering the interview load on each individual and whether interviewers need to be trained and shadowing others. TA software didn’t help. As hiring managers, we know TA is a critical function, and as engineers, we know software can do better. So, we built and continue to build Ashby to give TA teams the highest standard of tooling. Software that’s intelligent and powerful. Software that provides insights into where they’re failing and automates or simplifies many of the tasks they’re underwater with. We want other functions and departments to be jealous of what TA teams can do with Ashby, and today they often are! Software Engineers Come In Many Flavors, Not All Of Which Fit Our Model. Here Are Some Things To Help You Decide If This Fits You And What You’re Looking For • You’re not afraid to tackle any part of a technology stack. You do what’s necessary to successfully deliver a feature, whether writing frontend or choosing new infrastructure. We’ll provide a supportive environment to do it successfully (e.g., design system, SRE team)., • You’ve tackled projects with a lot of product and technical ambiguity, and you thrive at the intersection of the two. We’re not building a simple CRUD app, and many of the challenges we tackle require you to use your knowledge of our customers to build powerful abstractions and flexibility in the system to solve a class of problems., • You know how to strike the right balance between speed and quality. Ashby wasn’t built quickly. We took four years to launch publicly because convincing customers to switch required a high‑quality product. However, time isn’t infinite, especially for a startup, so we still move with urgency—we’ve built the equivalent of three or more VC‑backed startups with a very small team., • You are ambitious and always looking to improve your skills. For most engineers, this role will give you more freedom and responsibilities than you’ve experienced in the past. To thrive (and level up), you’ll need to be open to feedback (and we give lots of it)., • You’re an excellent collaborator and communicator. Ownership and freedom don’t mean you work in a vacuum. You’ll need to vet your decisions with the appropriate stakeholders, keep them up to date when necessary, and work with other engineers to get your projects across the finish line. Clear and concise communication helps a lot here!, • You seek to create leverage in your work. The nature of software is that you can often automate or abstract what would be tedious, time‑consuming work. Your impatience usually leads to new abstractions, tools to allow Support to debug before Engineering, new lint rules to prevent common bugs, etc., • You need company‑driven process and structure to get your projects across the finish line. Sprint planning and well‑defined project management processes are things you need or look to others to lead. You’d rather focus on the technical details and challenges., • You only want to do exciting work. We’re building a team of kind, collaborative folks. Customer issues and investigations are distributed across the team, including our high‑level ICs., • You can get lost in the details. Once you start implementation, it can be hard to take a step back and think about the project as a whole. You like everything to be planned upfront., • You haven’t led or taken ownership of projects before. You’re used to working with tech leads and taking on tasks distributed by them., • You want to mentor earlier‑career engineers. We rely on engineers owning their projects, so we need engineers with that experience. This requires the team to be reasonably tenured. More than 90% of the team would be considered Senior or above in the industry today, so mentorship opportunities are very limited., • To you, a tech lead, staff, or principal engineer is someone who spends most of their time project managing or doing architecture reviews. Our most tenured engineers spend most of their time building, and we often trust them with our most challenging problems. While they lead product and technical areas and help other engineers plan their most challenging work, it’s not a requirement, nor do engineers need their sign‑off. Our Engineering Culture Is Motivated By Benji’s (my Co‑founder And CEO) And My Belief That a Small, Talented Team, Given The Right Environment, Can Build High‑quality Software Fast (and Work Regular Hours!). We Do It Through • Minimal process with ownership over decisions normally made by product and design, • Natural collaboration and deliberate communication, • Investing in tools and abstractions that give us leverage, • Putting effort into building a diverse team The best engineers we’ve worked with delivered reliably magical outcomes. They took customer problems and relentlessly drove them to solutions that were not only successful but often brilliant and creative. While they did this with minimal oversight, stakeholders were never in the dark as to what was going on, and no setback was a surprise. Traditional product‑development processes aren’t meant for the best engineers. Their purpose is to create consistent outcomes regardless of the engineer’s skill. But, consistency comes at the expense of an engineer’s time and freedom—both ingredients necessary to generate those magical outcomes. As a result, process stifles the best engineers and doesn’t give others the opportunity to practice the behaviors that made the best engineers the “best.” At Ashby, we want to build an environment that encourages every engineer to be their best. So, at Ashby, every Engineer runs their project. Product Managers (and Designers) build strategy, do customer research, and hand off problem briefs to Engineers. Engineers take on the rest: they research the problem, write product specs, build wireframes, and implement their solution end‑to‑end. We rely on engineers, not process, to push information outward to the relevant folks (e.g., Product Managers) and pull folks in to help (e.g., Designers, Infra). It’s a new level of ownership for many engineers, but we’d rather an engineer fail a bit and coach up their skills than use process as a crutch. Not everyone succeeds in our culture, but those who do thrive. Our engineering team consists of lifelong learners who are talented but also humble and kind. These attributes create an environment where collaboration happens naturally. We combine this with research, prototyping, and written proposals to see around corners and get feedback from the team across time zones. Focus time is something that we hold sacred, and, with thoughtful and deliberate communication, engineers are in <2h meetings per week. To drive it home, here’s a recent calendar of an engineer who has been with us for over 4 years. We also meet in person at least twice a year, once as a department and once as a company. You also have a small budget to meet up with folks in your city/region. We Built Ashby With The Quality, Breadth, And Depth That Many Customers Would Expect From Much Larger Teams Over Larger Time Scales. We’ve Done This Through Investment In • Great developer tooling. Our CI/CD takes ~10m, and we deploy at least 15× a day. A debugger that works out of the box. Everyone on the team has contributed to our developer experience., • Building blocks to create powerful and customizable products fast. At the core of Ashby is a set of common components (analytics modeling and query language, policy engine, workflow engine, design system) that we constantly improve. Each improvement to a common component cascades throughout our app. Diverse teams drive innovation and better outcomes. Having seen my mother and partner build their careers as minority women in non‑diverse fields, I want to make sure Ashby creates opportunities for the next generation of engineers from underrepresented groups. Today, 21% of engineers at Ashby are from underrepresented groups. It’s not great, and we are taking conscious steps to improve, like sourcing diverse candidates, providing generous paid family leave, no leetcode interviews, and more. At Ashby, our team and interview process want to help you show your best self. We’ll dive into past projects and simulate working together via pair programming, writing product and tech specs collaboratively, and talking through decisions. There are no leetcode or whiteboard exercises. • Introduction call with Hiring Manager (15 to 30m, live), • A technical screen where we pair in our actual codebase (1h, live), • Three non‑coding interviews that focus on product thinking, technical design, and infrastructure (3h 15m, live can be split across multiple days) Depending on our leadership team’s bandwidth, we may start with an additional 30m screen with a recruiter. Your hiring manager will be your main point of contact and prep you for interviews. Each round will have written guidance so you know what to expect (you’ll need minimal preparation). You’ll meet 4 to 6 people in engineering (with 5–15 minutes in each interview to ask them questions). If we don’t give an offer, we’ll provide feedback! We want an exceptional onboarding experience for every new hire. At Ashby, your dev environment is set up with a single script, you push your first product change on day one, and you spend the rest of your time shipping product changes that give you a tour of our codebase and best practices. The product changes increase in scope and ambiguity from simple copy changes to the delivery of a prominent, impactful feature. Your manager will do a 30, 60, and 90‑day review to give feedback and calibrate on how we work together. It’s a team effort to get you successfully onboarded; you’ll have a peer paired with you to answer questions, pair program, and check in often to see if you need help. The rest of the team will run training sessions on our culture, product, engineering process, and technical architecture. I’m sharing our tech stack with the caveat that we don’t require previous experience in it (but a love of typed languages is helpful): TypeScript (frontend & backend), React, GraphQL API, Node.js, Postgres, Redis. When they joined Ashby, many of our engineers switched from other languages like Swift and Kotlin (Ben), platforms like iOS (Tom) and Windows (Sergey). We care more about fundamentals (e.g., debugging, abstractions) and how fast you learn. For folks on the team who switched, it’s nice seeing changes hot reload versus waiting for XCode to compile. • Competitive salary and equity., • 10‑year exercise window for stock options. You shouldn’t feel pressure to purchase stock options if you leave Ashby —do it when you feel financially comfortable., • Unlimited PTO, and we will encourage you to take it., • A minimum of 12 weeks of fully paid parental leave, covered by Ashby. For folks outside the US, it may be longer to be in line with regional requirements., • Generous equipment, software, and office furniture budget. Get what you need to be happy and productive!, • $100/month education budget with more expensive items (like conferences) covered with manager approval., • If you’re in the US, we offer top‑tier health insurance for you and your dependents, with 100% of premiums covered by Ashby. In other countries, we provide high‑quality supplemental health insurance for you and your dependents, also fully covered by us. Ashby’s success hinges on hiring great people and creating an environment where we can be happy, feel challenged, and do our best work. We’re being deliberate about building that environment from the ground up. I hope that excites you enough to apply. Ashby provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. #J-18808-Ljbffr

Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease. The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery. Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture. The world we want tomorrow is the one we’re building today. It starts with the culture at this company. It starts with you. Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases. We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design. Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI. The Senior Clinical Trial Manager will fully understand and independently lead the cross-functional team through all activities within the clinical trial life cycle. These will include daily activities managing all trial start-up, conduct and close out activities to both industry and corporate standards within ICH/GCP Guidelines. The Senior Clinical Trial Manager may also have program responsibilities and managerial responsibilities, working in tandem with the Head of Clinical Operations as the department grows. • Have the skillset and experience to execute/ manage execution of all related study start-up, maintenance and close out activities., • Demonstrates an AI-curious mindset, with an interest in exploring and leveraging emerging AI technologies to streamline contract lifecycle management and enhance operational efficiency., • Strategic and analytical thinker with excellent problem-solving capabilities and adaptability in fast-paced, matrixed environments., • Proven ability to build strong cross-functional relationships, mentor team members, and drive efficient business solutions across functional and regional boundaries., • Manage Change Orders and re-scoping with vendors and sites when necessary, including checking for accuracy of invoices and cost of services versus accruals., • Drive, contribute to and support the writing of all related clinical documents (such as the Protocol, ICF, DSUR, IB, CSR) for timely and accurate submission readiness., • Manage creation of the trial plans and their update when necessary, to ensure they remain current., • Develop (or oversee the development of) all training/ day to day materials, including SIV materials, amendment training materials, lab manuals, pharmacy manuals, and any other trial-specific training., • Support data management activities such as reviewing study-related materials created by data management, including the study manual, edit check manual, clean patient data tracker, listing review process and the Statistical Analysis Plan., • Participate in data cleaning activities throughout the life of the trial; organize/ plan data snapshots as necessary for internal and external reviews and data deliveries., • Monitor vendor metrics and vendor performance, including KPIs, review of monitoring reports for content and compliance, deviation reporting, data cleaning activities, enrollment activities, etc., • Seek out, assess and potentially assist in onboarding potential AI solutions within this space that would prove helpful to the organization., • Coordinate and participate in all study related meetings, including Investigator teleconferences, clinical study team meetings, vendor update calls, safety review committee meetings, data safety monitoring board, etc. as appropriate., • Assist the CRO in eTMF development and maintenance to ensure the final TMF is complete and audit ready at the close of the study., • Participate and support all audit, SOP and quality activities to ensure alignment and consistent operational excellence exist across the trial., • The successful candidate will have a Bachelor's Degree in a related field with a minimum of 6 years experience in the biotech and/or pharmaceutical industries., • At least 3+ years managing oncology or rare disease trials, • Thorough understanding of GCP/ICH Guidelines, as well as strong understanding of cross-functional clinical processes, • Excellent interpersonal and communication skills for relationship building, verbal and written, • Proactive problem solving, planning and project management skills are necessary, • Strong outsourced model experience, with budget management of vendors, is essential, • Ability and willingness to travel up to 30%, • Prior CRA experience and/or willingness to co-monitor if needed, • Prior site experience, coordinator or other is a plus We are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it. Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day. Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less. Determined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we. Together at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere. We believe that to be successful we need a team with a range of skills and talents. We're building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact. It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. #J-18808-Ljbffr

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu