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JOB TITLE: Senior Security Software Engineer (Backend Focus) CLASSIFICATION: Exempt Approved by: Jitendra Patil EXPERIENCE: 5–10 Years Approved Date: REPORTS TO: Shivendra Ashish Revised Dates: POSITIONS SUPERVISED: Core Responsibilities: Security Microservices: Architect and build centralized security services (e.g., Authentication/Authorization, Secrets Management, PKI) using high-performance languages. Secure Libraries: Develop standard SDKs/Libraries that abstract complex security logic (Encryption, Input Validation) for other engineering teams. Automated Remediation: Build bots or "Self-Healing" code that automatically detects and fixes infrastructure misconfigurations or code vulnerabilities. AI Security ( AISec ): Build guardrails and "Firewalls" for internal LLM applications to prevent data leakage and prompt injection. Must-Have Skills: Backend Engineering: Expert in Golang or Python. Ability to write production-grade, testable, and concurrent code. System Design: Strong understanding of distributed systems, microservices architecture, and API design. Application Security: Deep knowledge of OWASP standards, Cryptography fundamentals, and Auth protocols (OAuth2/SAML/OIDC). DevSecOps : Experience integrating security checks into CI/CD pipelines (Linters, SAST/DAST wrappers). Preferred / Nice to Have: Experience with Policy-as-Code frameworks (e.g., OPA). Knowledge of Service Mesh security patterns. Experience contributing to open-source security projects. Ability to embrace Clearwater's CLEAR core values (Commitment to Client Success, Lead with Accountability, Integrity & Collaboration, Excellence in All That We Do, Advance Colleague Success, Respect & Transparency) and culture. Disclaimer: The above statements are intended to describe the general natu

The LPU Software Team is seeking a Technical Program Manager to lead software initiatives across the LPU SDK. In this role, you will partner with engineering and cross-functional teams to define program plans, align priorities, manage dependencies, and drive execution. You will identify risks, remove obstacles, and ensure teams deliver high-quality software on schedule that meet our customers needs. What You'll Be Doing: Build and implement execution plans to ensure we meet the needs of the business Build relationships and work closely with partners across NVIDIA Own all aspects of technical program management – planning, forecasting, documenting, scheduling, running effective meetings, prioritization, dependency management, reporting, and escalations Build and own metrics for measuring program efficiency, collect and analyze data in support of planning and data driven decisions Report on overall program status, providing insights and recommendations to senior management Work with multi-functional matrixed teams - guide teams crafting for sophisticated, complex, competing and often conflicting customer requirements and moderate technical discussions to successful conclusions Serve as liaison between developers and customers, connecting those with and without technical backgrounds. Promote continuous improvement by identifying process enhancement opportunities. What We Need To See: Bachelor’s degree (or equivalent experience) in a related field with proven program management expertise and proficiency in technical and management practices 3+ years program management experience including proven ability managing enterprise software products Demonstrated skill in eng

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. Note: this job post is for Fullstack Software Engineers only. If you are a Backend Engineer, please see our Backend Software Engineer post here . About the role We are looking for fullstack software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. We have multiple teams that are currently hiring within Safeguards. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers where they'll have the greatest impact and growth potential. Responsibilities: Design and build the internal review tools analysts use to investigate abuse — dashboards, case queues, and evidence viewers that make high-volume, high-stakes decisions fast and accurate. Build the interfaces where humans supervise agents: streaming output, interruption and approval flows, and clear provenance for every action an agent takes. Surface abuse patterns to our research teams through the visualizations and exploration tools that make emerging patterns legible. Own the frontend architecture for tools handling sensitive data at scale — performance under large datasets, correctness under real-time updates,

Senior Systems Software Engineer - GPU Performance at Scale — 5 Locations. Apply via Workday.

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 Nuro operates real self-driving vehicles on public roads today — not a research platform, not ADAS. The Embedded Software Engineering team builds the software for the safety-critical embedded controllers that connect the Nuro Driver™ to the vehicle: the devices that command steering, braking, and propulsion, alongside other vehicle actuators, distribute and monitor power, monitor vehicle motion, and bring the vehicle to a safe state when something goes wrong. As a Senior Embedded Software Engineer, you will work across the full stack of multicore automotive microcontrollers from RTOS, drivers, and scheduler up through middleware and application components that talk to the vehicle, and help extend that stack as our hardware evolves. You will bring the Nuro Driver™ up on new vehicle platforms alongside OEM and supplier engineers, and see your code drive real vehicles on public roads. We're hiring across levels, from engineer

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the role: We're looking for a Senior Fullstack Engineer for our commercial product LangSmith, an observability and evals platform. In this role, you'll have the opportunity to shape the technical direction of our platform while working closely with enterprise customers, developer end-users and internal stakeholders. What You Will Do: Lead the technical architecture and implementation of key product features for LangSmith, working across our entire Go, Python, and Typescript stack. Collaborate closely with product and design teams to iterate on new features. Mentor and guide more junior members of the team. Drive aggressive project timelines while ensuring high engineeri

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About The Team The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done. About The Role We are looking for a Senior Backend Engineer to join us. In this role you will be building the backend systems that power LangChain’s observability and evals platform. You will work on the core services that allow developers to monitor and evaluate their AI applications at scale. While the focus is

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. As a Low-Level Software Engineer on Tenstorrent’s Low-Level Kernel (LLK) team, you’ll work at the intersection of software and AI hardware to build the primitives that power our workloads. LLKs sit directly on top of the ISA of Tenstorrent’s AI hardware and form the foundation for the software stack above them. You’ll tackle challenging problems in low-level programming, hardware-aware optimization, and performance engineering, with the opportunity to influence how our hardware is programmed and how efficiently AI workloads run. Improvements at this layer can have an outsized impact across the entire stack. You’ll take ownership of complex technical problems from design through implementation and optimization, while working closely with engineers across LLK, hardware, runtime, and operations. This role is hybrid, based out of Toronto, Canada. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Strong C/C++ engineer with significant experience building low-level, performance-critical software. Deep understanding of computer architecture and how software maps to hardware. Strong problem solver who can investigate complex performance and syst

About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 20 million learners and 6,000+ companies , including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage. About the role + Responsibilities The Learning Solutions Architect is a customer-facing technical trainer who helps organizations build data and AI capabilities with DataCamp. You’ll deliver engaging live training (virtual and onsite) and create tailored learning materials on the DataCamp platform—think custom courses, projects, certifications and assessments that map to each customer’s roles, tools, and outcomes. You’ll partner with Customer Success, Sales, Product and Content to scope blended learning paths, teach high-impact sessions, and publish reusable, high-quality content that accelerates adoption and measurable skill uplift for some of our most high-value customers. Qualifications Loves to teach. Comfortable spending multiple hours weekly in front of a virtual or onsite classroom. Broad AI Engineering experience with the likes of, ML, NLP, Computer Vision, Deep Learning 2+ years in technical training, data science/analytics education, solutions engineering, or similar instructor roles. Learns new tools quickly; enjoys tailoring content to different personas (analyst, engineer, business user, exec). Strong communicator who can simplify complex topics for technical and non-technical audiences. Detail-oriented and process-driven; delivers sessions and materials with substance. Flexible schedule to support time zones (this is not a 9 to 5); occasional travel for onsite delivery. Some of your key metrics will be: Customer satisfaction: survey, engagement, repeat bookings Professional services revenue (

About Druva Druva is the resilience foundation for the AI enterprise, helping organizations secure and recover from connected risk across data, cyber, identity, and AI. The Resilience Cloud is a fully managed, cloud-native SaaS platform that delivers air-gapped and immutable protection across cloud, SaaS, on-premises, endpoint, and edge environments. Powered by Dru MetaGraph, Druva’s graph-powered intelligence layer, the platform connects critical business context so customers can understand risk, respond faster, recover cleanly, and govern data with greater confidence. Trusted by nearly 7,500 customers, including 75 of the Fortune 500, Druva helps safeguard the critical information and systems businesses depend on in an increasingly connected world. Visit druva.com and follow us on LinkedIn , X and Facebook . Team & Mission: Druva Product Platform The Druva Product Platform team builds the shared core SaaS application foundation that every Druva product is built on. Our multi-tenant services, APIs, and control-plane capabilities manage tenant provisioning and lifecycle, Identity & Access Management (IAM/RBAC), distributed job scheduling, usage metering, and platform observability. Because every Druva workload depends on this platform, quality and reliability are critical. A bug or latency spike in the platform propagates across the entire Druva ecosystem. Quality Engineering in this team is a pure software engineering discipline: we build scalable automation frameworks, and implement CI/CD quality gates that safeguard billions of operations each year. Role Overview As a Senior Software Engineer (QA / SDET) on the Druva Product Platform team, you will be the technical lead for quality engineering across distributed multi-tenant microservices, high-throughput APIs, and asynchronous event streams. You will build test strategies, test automation frameworks in Python or Go , design functional test suites including scale &

We're building the platform that lets long-running autonomous agents operate safely inside NVIDIA's enterprise. These are not assistants on a developer's laptop. They are fleets of agents deployed in the cloud, running continuously at scale on shared accelerated compute. They take on real work across enterprise systems, so people get far more done than they could before. This role defines the constructs that agents are built from: the blueprints they start from, the tools, skills, and plugins that power them against enterprise data, the runtime safety harness that keeps them in bounds, and the connections into credential management, sandbox, memory, and observability. The team designs and ships these building blocks so that agent developers across the company can stand up a new agent, wire it in, and run it for days or weeks. Security and safe execution come out of the box, not something each team has to get right on its own. Today an agent runs inside a single harness. Claude, Codex, and open-source agent harnesses each work differently underneath, with their own execution model, tool interface, and telemetry shape. The platform smooths over those differences, so a single skill, safety policy, or trace works the same no matter which harness is running. We want to enable agents that act on a person's behalf, governed and secure, continuously evaluated and self-improving. These agents coordinate and hand work off to each other, with identity and policy following every hop. They route and tune themselves across harnesses from live eval signals, and get better from their own production telemetry instead of waiting on a human to retrain them. Have you run agents on a harness like Claude or Codex and hit the walls that show up when they run for real, for days, against live systems — and wanted them to learn from it on their own? We're building the platform that solves those problems once, for every team. What you'll b

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With over half a billion rides and counting, Lyft is solving hard problems in a flourishing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Growth and beyond. We're actively building the next-generation Machine Learning (ML) platform for low-cost, ultra-immersive transportation to improve people’s lives using modern ML with petabyte-scale data. Our Machine Learning Engineers are excited to work on these challenging problems and redefine solutions to directly impact various aspects of Lyft's primary business. As a PhD Machine Learning Engineer Intern on our Applied AI team, you'll take on an open research problem tied to product experiences used by millions of riders. Working closely with a Staff ML Engineer mentor, you'll scope the problem, develop and evaluate new methods on real data, and take the work far enough that it can be shared with the research community, with the goal of a paper submission to a top ML venue. If you are a PhD student who enjoys turning open-ended research questions into working systems, and you want your research to be tested against real users and real data, this opportunity is for you! Responsibilities: Own a research project from start to finish: frame the problem, review related work, propose new methods, and design rigorous offline and online evaluations Design, build, train and test ML models in areas such as reinforcement learning, sequential decision-making, personalization Write production-quality code that turns research prototypes into working pipelines on Lyft's data and ML infrastructure Partner with Product Managers, Data Scientists, and fellow ML Engineers to frame research questions within the business context Analyze experimental and observational data, and communicate findings clearly to both technical and non-technical aud

The Team Bitcoin at Block builds products and platforms that help make bitcoin, stablecoins, and non-custodial wallets accessible to people around the world. We work across Cash App, Square, and Bitkey to create secure, reliable, high-quality mobile and hardware experiences used by millions of people. We’re looking for an iOS engineer who loves building products and can move quickly through unfamiliar problems. You’ll work closely with product, design, and engineering partners to turn complex financial capabilities into clear, reliable customer experiences. The Role As a Staff iOS Engineer on Bitcoin, you will own the technical direction and delivery of a critical area of our iOS product experience with bitcoin and stablecoin. This is a hands-on role: you’ll prototype new ideas, make architectural decisions, write production code, and lead work through launch and ongoing improvement. The work extends beyond the client. You’ll align product requirements with backend capabilities, resolve dependencies with partner teams, and make tradeoffs across customer experience, delivery speed, security, and reliability. You’ll personally tackle the hardest design and implementation problems while helping other engineers contribute effectively. Your impact will come from shipping valuable products and making the next release better: fewer recurring problems, clearer interfaces, stronger testing, and practices the team can use independently. You Will Build and evolve the iOS product Build products in iOS related to bitcoin, stablecoin and non custodial wallets. Work across interfaces in Cash App, Square and Bitkey. Own complex features end to end, including client architecture, service integration, testing, rollout, and post-launch improvements. Work with product and design to shape customer journeys, prototype new interactions, and turn open questions into delivery plans. Build prototypes, reference implementations, and critical paths that prove a direction before broader adoptio

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are on the lookout for a Senior Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are on the lookout for a Senior Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST