Infrastructure Solutions Architect Jobs

P-1494 Databricks is the Lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn, andFacebook. For more information, visit www.databricks.com . About the Role We are looking for an experienced and forward-thinking Senior Manager of Identity & Access Management (IAM) to lead the teams responsible for building and operating our enterprise-wide identity, authentication, authorization, and access governance systems. This leader will own the strategy, architecture, and execution of IAM capabilities that support our employees, customers, and platform services at global scale. As the company grows, IAM is becoming a foundational pillar of our security posture and customer trust. You will ensure that our identity systems are secure, scalable, easy to use, and aligned with Zero Trust principles. This is a highly cross-functional leadership role partnering with engineering, security, IT, compliance, and product teams to deliver identity services that are reliable and secure by default. What You’ll Do Strategic Leadership Define the long-term IAM strategy, roadmap, and operating model across the enterprise and product ecosystem. Build scalable identity foundations that support global growth, cloud expansion, and evolving business needs. Establish best practices for identity lifecycle management, authentication, authorization, provisioning, and governance. Build and Lead High-Performing Teams Manage and grow IAM engineering and operations teams responsible for identity services, infrastructure, and tooling. Mentor technical leads

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role As a Security Engineer you will join our OpenAI engineers and researchers in building, operating and securing transformational AI technologies. This role will focus on all aspects of Detection & Response but with a strong emphasis on detecting insider threats and influencing controls to safeguard OpenAI's most sensitive assets. In this role, you will: In this role, you will: Innovate on Detection and Response infrastructure to engineer and automate end-to-end detection and investigation workflows. Develop, measure, and tune detection rules to ensure effective and sustainable operations. Drive projects across OpenAI’s technology stack with a focus on insider threats, ranging from access abuse and intellectual property theft to novel risks emerging within AI infrastructure. Partner closely with cross-functional stakeholders, including HR, Legal, and peer investigative teams, providing technical expertise and evidence to support investigations. Collaborate on cutting-edge AI research, and use AI to improve OpenAI’s Security posture. You might thrive in this role if you: 5+ years experience working in a detection/response or insider-risk role.. We are seeking mid-level and senior candidates. You have broad familiarity with operating systems and platforms such as macOS, Windows, Linux, and Kubernetes, along with experience in cloud infrastructure. Knowledge of modern adversary tactics and attack paths, data exfiltration techniques, and h

About the Team Revenue Platform sits at the intersection of customer experience, financial precision, and enterprise-grade reliability. We build both end-user experiences and the underlying platform capabilities that power invoicing, billing, payments, and revenue recognition across OpenAI. Our work spans high-leverage customer surfaces and deep, reusable platform primitives used by multiple teams. These are foundational systems that will support OpenAI’s growth for years to come, and we’re looking for engineers who care deeply about craftsmanship, correctness, and building platforms and experiences that scale gracefully and are a joy to build on. OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. Achieving that mission requires more than great models, it demands a world-class commercial platform that enterprises can trust. The Revenue Platform team enables organizations to confidently adopt, scale, and manage their usage of OpenAI products by providing reliable, extensible financial infrastructure and shared services that power the broader ecosystem. We’re looking for a full-stack engineer to take end-to-end ownership of critical revenue workflows and the platform abstractions behind them. You’ll work across APIs, data models, shared services, and user interfaces to solve hard problems in scale, correctness, and usability. Partnering closely with Product, Finance, Sales, Operations, and other engineering teams, you’ll turn complex business requirements into durable platform capabilities, raising the bar on engineering quality and developer experience as our products and enterprise footprint grow. About the Role As a Full Stack Engineer on the Revenue Platform team, you will design, build, and operate platform services and user-facing interfaces that form the backbone of OpenAI’s commercial engine. You’ll collaborate with product, design, finance, and engineering partners to deliver intuitive customer experiences while also

Staff Embedded SW/FW Engineer (Bringup) Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Bengaluru which will play a central role in Graphcore's work building the future of AI computing. Job Summary We have an exciting opportunity to be part of a collaborative, cross-functional development team developing C code used to validate cutting-edge, high-performance AI chips and platforms. You will play a critical role in supporting new product introductions and post-silicon validation. Working within the Post-Silicon Bringup team, you will be involved with bringing first silicon to life, developing code primarily in C to configure and exercise systems and sub-systems on new silicon devices, and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis. You will have the opportunity to, and be responsible for, leading, mentoring, and providing technical guidance to other engineering team members. In this role, you can leverage your experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes. The Team The Post-Silicon Bringup team sits within the Architecture and Validation team, we are responsible for bringup and validation of new silicon when it returns from manufacture, enabling and supporting the production SW and FW teams to bring up their software and supporting the Silicon Characterisation team. Respons

About us Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Job Summary Working within the Silicon verification team, the silicon verification engineer is responsible for a wide range of tasks within the silicon verification team. This person is responsible for verification activities within Graphcore, helping the silicon team meet the company objectives for quality silicon delivery. The Team The verification team sits within the Silicon design team. We are responsible for ensuring that the RTL created by the logical design team and used by the physical design team matches the architecture specification for Graphcore silicon. Responsibilities and Duties V erification activit i es within the verification team Ensuring good communication between sites Verification planning, specification and closure of functional coverage Providing feedback to architects Test generation and failure diagnosis/triage Contributing to shared verification infrastructure Candidate Profile Essential: verification experience in relevant industry Proven leadership and planning skills Be highly motivated, a self starter, and a team player Ability to work across teams and programming languages to find root causes of deep and complex issues Ability to research along with the knowledge to solve complex problems Presents technical and functional knowledge to design experiments/ projects that contribute to overall

About the Team The Intelligence & Investigations team helps OpenAI understand and respond to the risks that can accompany increasingly capable AI. Our work has two central responsibilities: investigating potential high-severity misuse or harm involving our models, and monitoring and characterizing risks to OpenAI, our users, and the broader world. We bring together analysts, investigators, engineers, and other subject matter experts to turn complex signals into a clearer picture of what matters and support informed action. About the Role As an engineer on Intelligence & Investigations Engineering, you will build the systems that support both sides of this mission: giving OpenAI’s leadership superhuman situational awareness of important risks and developments, and accelerating expert investigators and analysts as they assess potential high-severity misuse or harm. You will design, prototype, ship, and maintain end-to-end products that use OpenAI’s models and infrastructure to make sense of large, complex information environments. These systems will surface meaningful signals, synthesize important developments, and help people make well-informed decisions when the stakes are high. You will work directly with analysts, investigators, and other subject matter experts to understand their needs and build products that make their work faster, more effective, and more scalable. Your engineering work will be central to how the team investigates potential misuse, develops situational awareness, and informs decisions. We’re looking for engineers who combine strong technical and analytical skills with product judgment and the ability to move between rapid prototyping and reliable production systems. You should be comfortable working with ambiguous problems, complex data, and evolving AI capabilities—and excited to build tools that expand what human experts can understand and accomplish. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: Design and implement novel research ideas, ship state of the art models to production, and maintain deep connections to academia and the government. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on individual interest and organizational needs. We have all the compute, data, and talent available for you to do your best work. Key Responsibilities: Design, build and scale agentic AI systems for serving mission critical use cases. Research, implement, and experiment with ideas on our supercompute and data infrastructure. Learn from and work with the best researchers in the field. Execute across the full AI stack and ship products to serve public interest. Qualifications: Canadian citizenship and eligibility for security clearance ( required for this role ). Extremely strong software engineering skills. Proficiency in Python and related ML frameworks. Experience training, evaluating, and using (as an end-user) LLMs. Experience using large-scale dis

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. Think of us as doing "neuroscience" of neural networks using "microscopes" we build - or reverse-engineering neural networks like binary programs. More resources to learn about our work: Our research blog - covering advances including Monosemantic Features and Circuits An Introduction to Interpretability from our research lead, Chris Olah The Urgency of Interpretability from CEO Dario Amodei Engineering Challenges Scaling Interpretability - directly relevant to this role 60 Minutes segment - Around 8:07, see a demo of tooling our team built New Yorker article - what it's like to work on one of AI's hardest open problems Even if you haven’t worked on interpretability before, the infrastructure expertise is similar to what's needed across the lifecycle of a production language model: Pretraining: Training dictionary learning models looks a lot like model pretraining - creating stable, performant training jobs for massively parameterized models across thousands of chips Inference: Interp runs a customized inference stack. Day-to-day analysis requires services that allow editing a model's internal activations mid-forward-pass - for example, adding a "steering vector" Performance: Like all LLM work, we push up against the limits of hardware and software. Rather than squeezing the last 0.1%, we are foc

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the Role As a Software Engineer on the Agent Harness team at SpaceXAI, you’ll build the core agent behavior and capabilities that power agent experiences across Cursor products. This spans agent orchestration, tools, guardrails, and model behavior tuning—designed as a platform that SpaceXAI engineers can extend and depend on. Your work will also define the default Cursor agent experience (”Auto”), where users trust us to make the right model choices under real-world constraints. Example projects include: Advancing the agent harness (agent loop, tools, prompts, execution environment, capabilities) used across Cursor products. This would shape and empower experiences like multi-agent coordination. Improving the default Cursor agent experience (the “Auto” model setting): making smart model choices based on user needs, model capabilities, and cost appetite. Shaping the default Cursor agent’s personality. Launching new models on Cursor end-to-end — partnering with foundational model providers and our research team on integration, evaluation, and rollout. You may be a fit if You have built complex agentic products or infrastructure. You have strong software engineering fundament

Why us? Insurify is one of the America’s fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000’s fastest-growing private companies in America of 2023, 2022 and 2021, Forbes Fintech 50 List for 2023, 22, 21, Forbes Next Billion Dollar Startups of 2022 global and Top 100 InsurTech company. We’re a profitable company, that's changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design. We are proud to be the largest online insurance distribution and comparison platform in the USA. Our company vision is to be recognized as the preeminent and most trusted digital agent for insurance comparison, purchase, and management. Our team is critical to achieving our vision and fostering the right culture is essential to our team’s success. How you will make an impact Work with our product team to architect and develop new features Optimize existing features using modern development techniques to improve speed and reliability Write comprehensive test suites that fortify our codebase Deploy to production often What you need to succeed 4+ years of experience building back ends applications using a modern web framework (we use Python + Django, Node.js) Experience analyzing code performance to identify optimization opportunities Experience writing unit and integration tests Experience with SQL and NoSQL DBs (we use MySQL, Redis, DynamoDB, Redshift) Fluent spoken and written use of English language It would be considered a plus: Experience with Apache Airflow or other task workflow systems Experience with data pipelines Infrastructure as Code and familiarity with AWS Frontend experience (we use React) Benefits 25 days annual leave Enhanced private medical, dental and vision insurance plans Yearly wellbeing budget or Multisport card Personal budget for learning and books Employee Assistance Program and other wellbeing

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role Our software team is growing, and we are looking for talented engineers who are graduating by December 2026 to join us and be instrumental to one of the following areas: Data Platform, Onboard Systems, ML Infrastructure, Simulation, or Technical Infrastructure teams. About the Work Depending on your skill set and areas of interest you will work on some or all of the following: Data Platform: The Data Platform serves as a comprehensive management system for Nuro AI Driver's data, labels, and metrics, facilitating seamless access functionality. The team focuses on data annotation across various domains, including 2D/3D perception, mapping, behavior trajectory, and language/text. It also handles data ingestion and mining, employing methods such as heuristics and embedding search. Additionally, the platform supports the autonomy evaluation infrastructure by providing detailed introspection. Onboard Systems: Our onboard s

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role As a software engineering intern, you will work closely with leading experts in the field of machine learning, robotics, and software. Depending on your skill sets and areas of interest, you will work on some or all of the following: Data Platform, Onboard Systems, ML Infrastructure, Simulation, or Technical Infrastructure teams. About the Work Depending on your skill set and areas of interest you will work on some or all of the following: Data Platform: The Data Platform serves as a comprehensive management system for Nuro AI Driver's data, labels, and metrics, facilitating seamless access functionality. The team focuses on data annotation across various domains, including 2D/3D perception, mapping, behavior trajectory, and language/text. It also handles data ingestion and mining, employing methods such as heuristics and embedding search. Additionally, the platform supports the autonomy evaluation infrastructure by provid

About the Team The Connectivity Software Engineering team is responsible for enabling seamless, secure, and high-performance wireless connectivity across OpenAI’s products. We design and optimize Bluetooth, BLE, Wi-Fi, and emerging wireless technologies to ensure robust device pairing, network performance, and interoperability. Our work spans kernel drivers, system services, and user-level tools, with a focus on real-world performance, scalability, and reliability. About the Role OpenAI is seeking a Connectivity Software Engineer to design, implement, and optimize wireless connectivity features across our product ecosystem. You’ll work at the intersection of systems software, wireless standards, and hardware integration—building robust pairing and provisioning flows, debugging low-level protocols, and driving performance under real-world RF constraints. You will also support certification, field interoperability, and fleet-scale connectivity infrastructure. This role is based in San Francisco, CA . We use a hybrid work model of 4 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design, implement, and debug Bluetooth/BLE and Wi-Fi features across kernel drivers, BlueZ/wpa_supplicant/hostapd, and systemd/D-Bus services Deliver robust pairing, bonding, and provisioning flows (GATT/GAP, LE Audio/LC3, WPA3/802.1X, captive portals, NAN) Optimize link performance: throughput, latency, jitter, roaming, coexistence (BT↔Wi-Fi), and power modes (TWT, WoWLAN) Build reliable network management using NetworkManager/nmcli, nl80211/cfg80211/mac80211, DNS/DHCP/mDNS, P2P/SoftAP Instrument and analyze with packet captures and tooling (btmon/hcidump, Wireshark, iperf, eBPF/perf, spectrum sniffers) Drive interoperability and certification readiness (Bluetooth SIG, Wi-Fi Alliance) and resolve field issues with root-cause fixes Contribute to OTA-safe configuration, telemetry, and diagnostics for fleet-scale operation You might thrive in

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. At Roblox , we’re building the tools and platform that empower a global community of creators and developers to build immersive experiences and a dynamic virtual economy. Our Economy ML team sits at the heart of this mission, delivering scalable machine learning systems that power personalization, pricing, search, and content understanding across all Economy surfaces: Marketplace, Developer Monetization, Payments, and Avatar. We’re looking for a Distinguished Engineer/Technical Director to lead the strategy and technical direction for ML systems , with a focus on large-scale recommendations, infrastructure, and emerging Generative AI applications. You’ll help build the systems that support retrieval, ranking, generative modeling, and LLM-powered personalization, all at massive scale. This role requires deep systems thinking, hands-on ML expertise, and a vision for how traditional ML and GenAI come together to power the future of the Roblox economy. Why Roblox for ML Systems AI/ML is a top company priority , with long-term investment. Real-world scale : Power millions of daily economic interactions across ranking, pricing, fraud, and search. Full-system ownership : Build and optimize end-to-

About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. As a Software Engineer in Global Retail, you'll shape how customers discover, browse, and buy retail products - apparel, beauty, electronics, auto parts and more - across Wolt, DoorDash and Deliveroo. Retail is a large growth opportunity for the business, and our mission is to be the most trusted and magical way to shop the brands and local stores customers love. You'll play a key role in making that real - from product discovery through to shopping experience in the apps millions of people use every day. You’ll join an evolving area where we are replacing and improving parts of the existing consumer apps, building specific retail journeys within large-scale B2C applications. This means working in a complex environment where multiple teams own different parts of the same app, and where strong technical judgment is needed to create consistency, quality and speed across teams. What You’ll Do As an engineer in our group, you’ll work on production-level microservices in Kotlin and Go, helping shape how Retail succeed with Wolt. You’ll have opportunities to: Design, build, and scale reliable systems that power Retail experiences. Work across the full development lifecycle – from business logic and testing to cloud infrastructure and data streaming. Collabo