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Our Mission You call. You wait. You call again. In every other part of your life, you book in seconds. In healthcare, you’re blocked. We’re here to give power to the patient. For nearly 20 years, we’ve built the leading healthcare marketplace - helping tens of millions of people find and book the care they need. Now, we’re going further: building our infrastructure beyond Zocdoc’s marketplace to power access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more. Healthcare still lacks something every other major consumer industry takes for granted: a seamless way to go from seeking to getting . We don’t want to own the front door to care; there isn't one. We want to make sure all of those doors open when patients are knocking. Fixing healthcare starts with fixing access to it. And we're still just getting started. Your Impact on our Mission We are looking for a Principal/ Senior Staff Engineer, Experimentation Platform to elevate the systems that power trusted decision-making at Zocdoc. In this high-impact role, you will define platform standards, lead complex cross-domain initiatives, and shape the future of our analytics and data infrastructure. Your work will ensure our data ecosystem is secure, reliable, compliant, performant, and cost-efficient—enabling teams across Product, Engineering, Operations, and Leadership to move confidently with trusted insights. This is a senior individual contributor role open to remote candidates across the United States. You’ll enjoy this role if you are… Motivated by designing scalable data platforms that serve hundreds of stakeholders. Passionate about building clean, governed, and secure data systems. Known for improving reliability, performance, and cost efficiency. Comfortable operating as a technical authority without formal management. Energized by raising standards across analytics, infrastructure, and governance. Interested in

About the team The Monetization team is a new cross-functional group spanning engineering, product, research, and design. We are building the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to create user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen trust, expand economic opportunity, and support OpenAI’s long-term innovation. We believe monetization should deliver clear user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem for developers and businesses. The team operates in a greenfield environment, moving quickly through prototyping, experimentation, and iterative deployment. We partner closely across Product, Design, and Research to bring new capabilities into real-world systems at global scale. About the role We’re looking for an experienced Software Engineer to lead the design and development of the systems that turn advertiser feeds (eg. retail feeds, travel feeds etc.) into relevant, reliably delivered ads. In this foundational role, you will build across the full ads lifecycle—from ingesting and organizing retailer or travel catalogs into efficient retrieval systems, supporting ranking models, and serving ads at scale. This role is well suited to an engineer with direct experience in product ads retrieval, ranking, and delivery, along with a strong understanding of merchant feeds and shopping systems such as Google Shopping, YouTube product ads, or Amazon. We also welcome engineers with Senior Staff-level or greater scope who have deep ownership of large-scale catalogs, search and indexing, ads serving, or closely related distributed systems. You will independently own complex systems, make sound technical tradeoffs, and help define the architecture and roadmap for Shopping/Travel/Feed Ads. You will collaborate closely with Ads ML, Ads Delivery, Product, Design, and Research to connect accurate, fresh advertiser

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. About the Role We are looking for Staff System Software Engineer in Test to join our team. In this role, you will be responsible for design, development, automation and reporting of Integration and system tests spanning across firmware and device drivers. This role requires you to have significant technical breadth and deep understanding of low-level system software specifically in server class systems. You will be part of a new team responsible for integration of different system software deliverables and development of system tests spanning all the components. You will contribute to shaping the test strategy , guide best practices and solve complex problems while maintaining a strong hands-on focus. You will partner with development and other QA teams to deliver high quality scalable and reliable solutions. About the Team Integration and system test team is responsible for verification and validation of integrated components across Board management controller (BMC), Firmware and Linux device driver. The team is also responsible for management and maintenance of common tools and pipel

Salary Range: PLN 350,700- 474,400 Subject to alignment to the responsibilities and duties of the role. Location: Gdańsk - Candidates must be local due to hybrid working policy About the job Make AI accelerator hardware feel native inside Kubernetes clusters. As a Staff Cloud Software Engineer, you will build Go services that connect accelerator hardware with Kubernetes. You will own software components that turn complex compute capability into a usable platform experience. Your work will shape how AI workloads discover, access and scale across cluster infrastructure. That means designing production services where reliability, performance and observability are part of the architecture. You will build CRDs, operators and Kubernetes components for ML and platform teams. You will partner with hardware, cloud and ML engineers on design choices and roadmap priorities. This is a senior IC role with room to set direction. You will mentor engineers, raise code quality and help define how Graphcore delivers cloud-native AI compute. The team and culture The Workload Management team sits between Kubernetes, cloud platforms and accelerator hardware. Work moves from architecture to implementation, review and production readiness without losing system context. You will be trusted to own technical areas, challenge assumptions and move important work forward. The pace is driven by clear priorities, fast feedback and strong engineering judgement. Decisions are made through evidence, prototypes and direct technical discussion. Engineers are expected to speak up early, share trade-offs and help the team learn quickly. What we’re looking for Strong Go engineering experience, with significant experience delivering complex production software Deep Kubernetes architecture knowledge, including CRDs, operators and cloud-native integration patterns Solid Linux understanding, with the ability to debug issues across distributed systems Experience leading technical initiatives and mentoring eng

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. POSITION SUMMARY CVS Health Digital is looking for hands-on, passionate people who want to join a high energy and growing team to make a difference in customers lives and who want to be on the forefront of digital innovation that aims to reinvent what a pharmacy and a health care company can be in the digital world. Currently, we are seeking a Staff Software Development Engineer, who will serve as a senior technical leader on a cross-functional product team responsible for designing, developing, and delivering scalable healthcare technology solutions. You will play a critical role in driving architecture decisions, mentoring engineers, and partnering with product, UX, and business stakeholders to build secure, cloud-native applications that enhance the digital healthcare experience. In this role, you will lead the development of distributed systems and microservices leveraging Java, Spring Boot, event-driven architectures, and modern cloud technologies. This Staff Engineer will also guide data migration and interoperability initiatives, supporting healthcare integrations that enable seamless and secure exchange of clinical data across platforms. The ideal candidate combines strong software engineering expertise with a passion for innovation, technical leadership, and delivering high-quality solutions in an Agile environment. Expectations for the Role Software

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary · Designs, develops, and implements digital solutions and systems by applying advanced technical expertise to architect and code software applications, conduct system testing and debugging, collaborate with cross-functional teams, and contribute to the overall technical direction and innovation of digital engineering projects. · Leverages expertise to design and implement efficient and scalable solutions that meet business requirements and quality standards. · Contributes to solution design and architecture discussions, collaborating with architects and senior engineers. · Provides input on technical feasibility, performance optimization, and scalability considerations to ensure that the overall solution meets the desired objectives. · Participates in code reviews a

About the Team ChatGPT is a rapidly evolving system: new capabilities ship continuously, product surfaces change quickly, and usage patterns shift week-to-week. Supporting that pace requires infrastructure that can handle real production constraints—high concurrency, unpredictable traffic patterns, complex dependency graphs, and frequent change. The ChatGPT Infrastructure team builds and operates the platforms that enable fast iteration without compromising performance or reliability. We design shared systems, data paths, rollout mechanisms, and reliability guardrails that teams rely on to ship changes to ChatGPT at scale. We focus on high-leverage infrastructure: primitives and “golden paths” that incorporate operational lessons as defaults, so engineers don’t need to rediscover failure modes, latency pitfalls, or integration issues each time they build something new. About the Role We’re hiring Senior and Staff Engineers to design and build infrastructure systems that underlie ChatGPT and multiply the effectiveness of teams building user experiences. This is not a support-only role. It’s a platform-building role: you’ll define interfaces, develop core abstractions, and create tooling to make safe, fast iteration the norm. Your work will reduce friction, prevent regressions, improve performance, and ensure systems scale gracefully as the product grows. Where You Can Have Impact You might work on one or more of the following areas (without being restricted to any single area): Platform foundations & frameworks: Core libraries, service frameworks, and shared components that standardize system building, integration, and evolution. Scalability & performance primitives: Patterns and infrastructure that reduce tail latency, improve throughput, and keep costs predictable as demand increases. Reliability guardrails: Mechanisms that prevent outages by design—rate limiting, load shedding, dependency isolation, backpressure, safe fallbacks, and robust regression contr

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role We are seeking a Staff Full Stack Software Engineer to join the Advisor Experience team as our Technical Lead. Our team is focused on building tools for financial advisors to grow and sustain their business. We oversee bespoke products for advisors and develop advisor-focused capabilities throughout the Addepar platform. In this role, you will be the primary technical anchor for new capabilities including Secure Message Center — a compliant messaging experience built into Addepar's client portal that allows advisors and their clients to communicate directly within the platform. You will partner directly with Engineering Leadership and Product Management to build a modern, scalable architecture from the ground up. Beyond system design, you will act as a true engineering multiplier: setting technical standards, mentoring junior and mid-level engineers, and working alongside other senior engineers and AI specialists to deliver high-impact advisor tools. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employmen

Healthcare is complex. We’re here to change that. RVO Health is a health technology company on a mission to make health easier to navigate, more accessible, and more affordable for everyone. Here, you'll help over 40 million people every month, with a team that genuinely cares about the work and each other. At a Glance This is an individual contributor role on our Content Platform team with a focus on enhancing and maintaining our internal content workflow and content distribution systems. This role provides the opportunity to work alongside Staff and Senior engineers, broaden your experience, and grow in your career, all while working in a friendly and supportive environment. Where You'll Be Location: Minneapolis, MN | Hybrid We believe great collaboration happens when we're together, solving problems, learning from each other, and connecting as a team. That's why we’re in our offices Tuesday through Thursday each week. You are welcome to work remotely Mondays and Fridays if you wish. Office address: 11000 Optum Cir Eden Prairie, MN 55344 What You’ll Do Design, build, and ship features across our content platform, working from requirements through to production. Partner with your Product Manager, Technical Project Manager, and fellow engineers to scope work, estimate effort, and plan sprints. Write clean, well-tested code and participate actively in code review, both giving and receiving feedback. Debug and resolve issues across the stack, supporting production systems as part of the team's on-call rotation. Use AI tools to reduce engineering turnaround time, and optimize your solutions for the best results. Contribute to a healthy team culture: clear communication, constructive code review, and shared ownership of quality. What We’re Looking For Required: Bachelor's degree in computer science, software engineering, a related field; or equivalent experience. 2+ years experience in software development, with a focus on large-scale applications. Proficien

Healthcare is complex. We’re here to change that. RVO Health is a health technology company on a mission to make health easier to navigate, more accessible, and more affordable for everyone. Here, you'll help over 40 million people every month, with a team that genuinely cares about the work and each other. At a Glance This is an individual contributor role on our Content Platform team with a focus on enhancing and maintaining our internal content workflow and content distribution systems. This role provides the opportunity to work alongside Staff and Senior engineers, broaden your experience, and grow in your career, all while working in a friendly and supportive environment. Where You'll Be Location: Denver, CO | Hybrid We believe great collaboration happens when we're together, solving problems, learning from each other, and connecting as a team. That's why we’re in our offices Tuesday through Thursday each week. You are welcome to work remotely Mondays and Fridays if you wish. Office address: 1801 California St. Denver, CO 80202 What You’ll Do Design, build, and ship features across our content platform, working from requirements through to production. Partner with your Product Manager, Technical Project Manager, and fellow engineers to scope work, estimate effort, and plan sprints. Write clean, well-tested code and participate actively in code review, both giving and receiving feedback. Debug and resolve issues across the stack, supporting production systems as part of the team's on-call rotation. Use AI tools to reduce engineering turnaround time, and optimize your solutions for the best results. Contribute to a healthy team culture: clear communication, constructive code review, and shared ownership of quality. What We’re Looking For Required: Bachelor's degree in computer science, software engineering, a related field; or equivalent experience. 2+ years experience in software development, with a focus on large-scale applications. Proficiency in m

Healthcare is complex. We’re here to change that. RVO Health is a health technology company on a mission to make health easier to navigate, more accessible, and more affordable for everyone. Here, you'll help over 40 million people every month, with a team that genuinely cares about the work and each other. At a Glance This is an individual contributor role on our Content Platform team with a focus on enhancing and maintaining our internal content workflow and content distribution systems. This role provides the opportunity to work alongside Staff and Senior engineers, broaden your experience, and grow in your career, all while working in a friendly and supportive environment. Where You'll Be Location: Charlotte Metro Area (Fort Mill, SC) | Hybrid We believe great collaboration happens when we're together, solving problems, learning from each other, and connecting as a team. That's why we’re in our offices Tuesday through Thursday each week. You are welcome to work remotely Mondays and Fridays if you wish. Office address: 1101 Red Ventures Dr Fort Mill, SC 29707 What You’ll Do Design, build, and ship features across our content platform, working from requirements through to production. Partner with your Product Manager, Technical Project Manager, and fellow engineers to scope work, estimate effort, and plan sprints. Write clean, well-tested code and participate actively in code review, both giving and receiving feedback. Debug and resolve issues across the stack, supporting production systems as part of the team's on-call rotation. Use AI tools to reduce engineering turnaround time, and optimize your solutions for the best results. Contribute to a healthy team culture: clear communication, constructive code review, and shared ownership of quality. What We’re Looking For Required: Bachelor's degree in computer science, software engineering, a related field; or equivalent experience. 2+ years experience in software development, with a focus on large-scale

Why RoboForce RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company’s robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability. We are seeking a Senior / Staff Robotics Engineer, Motion Planning to own the local mobility and safety stack for our fleet. In this role, you will bridge the gap between AI-driven perception and physical hardware execution. You will consume traversability and semantic costmaps generated by our AI team and translate them into safe, dynamically feasible, and deterministic motion. You are solving the physics of mobility on unpredictable terrain, ensuring our humanoid platform respects its physical limits, shifting center of mass, and traction constraints. Responsibilities Dynamic Motion Planning: Architect and implement advanced local planners (e.g., optimization-based approaches like MPC, MPPI, or custom contouring control) that translate AI-generated routes into trajectories that a heavy, non-holonomic base can physically execute on uneven terrain. AI Integration & Costmap Consumption: Build the high-performance C++ pipelines that ingest the AI team's neural network outputs (semantic maps, learned costmaps) in real-time and convert them into deterministic mathematical constraints for the planner. Center of Mass (CoM) Aware Navigation: Ensure local planners dynamically adjust to real-time changes in the robot's Center of Mass caused by the lifting column and dual-arm payloads. Your trajectories must guarantee stability and prevent tipping on slopes or rough ground. Deterministic Safety Architectures: AI models hallucinate. You will build the deterministic C++ safety layer and fallback behaviors that override AI inputs if a commanded path violates physical safety constraints or if off-the-shelf SLAM tracking drops. WBC Integration: Architect the local planning interfaces to seamlessly pass base trajectories, v

Why RoboForce RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company’s robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability. We are seeking Senior / Staff Robotics Engineer, Manipulation to own the arm autonomy stack. You will architect the algorithms that allow our robot to reach, grasp, and manipulate objects safely and intelligently. You will bridge the gap between high-level planning and low-level control, ensuring our robot can interact with the world with both precision and compliance. Responsibilities Advanced Motion Planning & Trajectory Generation: You will architect the algorithms that drive high-DOF arm motion in dynamic environments. This involves implementing constrained motion planners that generate smooth, jerk-limited trajectories in real-time. You will also solve the "Whole Body" control problem, coordinating the mobile base and the manipulator arm simultaneously to extend the robot's workspace and maintain stability during heavy lifting tasks. Interaction Control & Compliance: You will develop the low-level control strategies that enable the robot to physically interact with the world safely. This includes designing and tuning impedance/admittance controllers that allow the robot to modulate stiffness based on force feedback—essential for tasks like opening heavy doors or plugging in connectors. Teleoperation & Human-Robot Interface: You will build the mathematical engine behind our remote manipulation capabilities. You are responsible for the logic that translates human operator inputs into feasible, safe robot motions. You will design the control mapping and assistance layers that ensure remote manipulation feels intuitive and stable, managing the complex translation between human intent and the robot's physical constraints without compromising safety. Requirements Experience: Ph.D. in Robot

The Zoox 3D Sensor Simulation team’s work is at the core of creating in-the-loop simulation and high fidelity synthetic data for training and testing autonomous vehicle AI. We are looking for a machine learning professional with experience applying ML to sensor data, such as LiDAR, radar, and cameras. This role lies at the intersection of machine learning and 3D simulation at Zoox, ranging from learned sensor models to neural 3D reconstruction. By improving the realism of simulated sensors (lidar, radar, and cameras), you’ll enable the Zoox robotics autonomy stack to learn, improve, and enhance the mobility of humans. In this role, you will: Design, train, and validate ML models that improve the realism of simulated lidar, radar, and camera data in autonomous vehicle (AV) simulation pipelines. Collaborate with Synthetic Data and HIL Sim teams to integrate 3DGS and NeRF-based 3D reconstruction with simulation of all sensor modalities. Build and curate training datasets from real and simulated sensor data, including GenAI-based data augmentation. Partner with Sim V&V and Perception engineers to define sensor realism metrics and close the sim-to-real gaps with the greatest impact on autonomy. Mentor engineers and interns, and establish best practices for training and deploying ML on Zoox sensor data. Qualifications: 2+ years of prior experience as a Technical Lead 5+ years of experience developing ML models in Python with PyTorch or TensorFlow <

This role in the Offline Driving Intelligence team is responsible for developing/learning behavior models for road users such as cars, bicycles, and pedestrians. These agents populate Zoox's simulations and must be indistinguishable from real road users, yet fully controllable: promptable into the rare, adversarial, safety-critical behaviors we need to test against. This means the team’s models directly impact how fast Zoox can train, validate and ship its driving stack. Our team collaborates closely with Planner, Simulation and Validation teams to develop and validate our driving performance. As an ML Agents Machine Learning Engineer, you will work on the bleeding edge of the industry, developing novel machine learning pipelines and models to predict the behavior of other agents in the world and planning the best course of action for the ego vehicle. In this role, you will... Develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for human-like driving agents. Work on novel techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort and realism. Build generative behavior models (e.g. autoregressive, diffusion) that are conditionable on scenario intent — "cut off the ego vehicle," "jaywalk here" — for targeted stress-testing. Leverage our compute, infrastructure and large corpus of data to push boundaries of the field. Develop metrics and tools to analyze errors and understand improvements of our systems. Collaborate with engineers on Perception, Planning, Simulation, and Validation to solve the overall Autonomous Driving problem. Qualifications PhD degree in computer science or related field and 4+ years of relevant professional experience or master's degree and 7+ years of relevant professional experience