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Experienced Systems Engineer Jobs

10,000 active opportunities · Updated for October 2026

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Explore current experienced systems engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

HI
HP IQ
📍 United States• Full-time• $114K – $200K/yr
2mo ago

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About the Role We are seeking an experienced IT Engineer to own and enhance the technology experience within HP IQ. This role combines traditional IT operations, SaaS administration, endpoint management, and infrastructure support with a strong focus on automation, scalability, and employee experience. The ideal candidate is a hands-on problem solver who thrives in fast-paced startup environments, takes ownership of systems and processes, and proactively identifies opportunities to improve tooling, security, and operational efficiency. You will serve as a technical escalation point for the IT Support team while helping shape the future of our internal technology stack. What you might do Manage and administer core business platforms including Google Workspace, Microsoft 365, Okta, Slack, and other SaaS applications. Ensure employees have a seamless and productive technology experience across all systems and devices. Evaluate, implement, and optimize tools and workflows that improve employee productivity and reduce operational friction. Develop and maintain IT documentation, standards, processes, and

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2mo ago

About Meesho Meesho is India's fastest-growing internet commerce company, on a mission to democratize e-commerce for everyone. We serve millions of customers and over 1.75 million sellers through technology-driven innovation, building the scalable systems that power Meesho's most critical surfaces — Search, Recommendations, Personalized Ranking, Logistics, Fraud Detection, and Image Match. The AI Platform sits at the heart of this. It serves a peak of 1M+ real-time deep-learning model inferences per second on ordinary days, scaling 3x+ on sale days — with the reliability that scale demands. The team works at the frontier of applied AI and infrastructure — multi-region inference, novel embedding-search algorithms, and optimized open-weight LLM models — squeezing out every bit of computation and passing the cost savings straight back to customers. About the Role We are looking for an experienced Engineering Manager – AI Engineering to lead the development of scalable AI platforms and infrastructure while managing high-performing engineering teams. You will drive the design, delivery, and optimization of production-grade AI systems powering AI use cases across Meesho. What You'll Do Lead, mentor, and grow a team of AI engineers — setting technical direction, raising the engineering bar, and owning execution and delivery end to end. Architect and scale Meesho's AI platform: cross-region model inference, multi-GPU fleet allocation and management, distributed training, and feature-engineering infrastructure. Drive inference optimization across the full stack — GPU kernel tuning, quantization (including outlier/tail-distribution handling), and memory/IO-bandwidth optimization — while building agents that codify and delegate known optimization procedures. Optimize open-weight models at both the model and inference-engine level — distillation, quantization, speculative decoding, KV-cache and serving-engin

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TA
Together AI
📍 San Francisco• $180K – $250K/yr
2mo ago

About the Role Together.ai is looking for a Senior Software Engineer to join the Customer Insights team. Customer Insights owns the customer-facing visibility layer of Together's Cloud — the systems that help customers understand what's happening in their environment, trace back what happened and why, and act on it with confidence. Every time a customer needs to understand their own activity — what happened, who did it, when, and whether it needs attention — they rely on the systems we build. Whether it's a developer inspecting recent activity, an enterprise team auditing their organization, or an operator diagnosing an anomaly, we make that visibility clear and trustworthy: simple for everyday cases, robust enough for complex organizational needs. We're turning today's fragmented visibility patterns into coherent product and platform foundations, and building toward a next generation of insight tooling that summarizes activity, explains anomalies, and correlates signals across surfaces — for both human operators and autonomous agents. You'll take ambiguous problems and turn them into a clear technical direction. You'll set the technical approach for significant pieces of the system, weigh in on architecture beyond your immediate area, and help less experienced engineers navigate unfamiliar problem spaces. You'll have real autonomy over how problems get solved, paired with a team that reviews, debates, and learns in the open. Responsibilities Design and ship core features of Together's Customer Insights platform — the systems customers rely on to see, trace, and act on their own activity. Drive the technical design for new capabilities, including proposing architecture, writing design docs, and getting buy-in across teams. Partner with Data Platform and Observability engineering teams to leverage Together’s core data stack and capabilities to build out Customers Insights data collection and stream processing systems. Own significant areas of the system end-to-end —

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Anyscale Platform Engineering Leader About Anyscale: At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role: Anyscale is looking for an experienced Engineering leader to lead our Infrastructure, SRE and Enterprise Governance Engineering teams. Anyscale aims to provide the next generation of tools and infrastructure to make developing and running distributed AI applications in the cloud using Ray - the popular open source platform used by companies like Netflix, Uber, Instacart and others - seamless. In this position, you will guide the vision, technical direction of the team, and recruit, enable a high-performing engineering team that delivers critical values to developers and Anyscale customers by solving complex distributed systems challenges. You will oversee and drive the strategy and execution of components which includes cluster launcher, cloud providers (AWS/GCP/Azure/etc.), Kubernetes support, cluster autoscaling, control plane, data plane, reliability, billing stack, production database and related components. You will closely work with our customers and our field engineering team to solve their problems, understand their challenges and make sure they are successful. We'd love to hear from you if you have: Solid engineering management experience leading produ

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Canopy Works
📍 San Francisco Bay Area• $200K – $225K/yr
3mo ago

Staff Software Engineer - Sensing (SF Bay Area) San Francisco Bay Area Job Title: Staff Software Engineer Location: SF Bay Area About Canopy At Canopy, we build technology that helps make healthcare environments safer for the people delivering care. Our connected safety platform powers real-time communication, response coordination, and location intelligence across hospitals and complex care environments. We operate in high-trust, high-reliability environments where software quality, operational resilience, and customer experience matter deeply. Our engineering organization is scaling alongside our growth, and we are looking for a Staff Software Engineer who can help shape both our technical direction and the way we build. This is not simply a feature delivery role. This is a systems-thinking role for an experienced engineer who can drive architecture, influence engineering standards, and help scale a platform, organization, and culture simultaneously. The Role Canopy is seeking a Staff Software Engineer to develop our next-generation sensing data pipeline — building the “physical full stack” from firmware and edge algorithms to the backend and frontend services that power them. You will bridge physical hardware and cloud systems, applying physics-based modeling to solve complex sensing challenges at scale that are not possible with traditional products. This is a unique role within Canopy to translate hardware schematics and firmware design into products that work in harsh environments and result in life-saving outcomes. We care deeply about building highly automated development environments that accelerate our prototyping and verification cycles, ensuring our mission-critical systems are built faster, safer, and with greater precision. How to you will make 10X impact: Drive the development of next-generation hardware that will be in the hands of millions of healthcare professionals Design and implement robust firmware across Canopy devices; build and mainta

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New Relic
📍 Barcelona• Full-time
3mo ago

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity We are looking for an experienced senior front-end engineer to join us in building The New Relic One! The platform will be used by your coworkers throughout the company and will help make their lives—and the lives of the customers they work with—easier and more enjoyable each and every day. Some of the problems we work on involve frontend APIs to interact with the internal framework, extensible architecture solutions, UI components, deal with modern frameworks and libraries such as ReactJS, and automation using tools such as Jenkins. What you'll do Select the best frameworks and tools needed to do the job quickly, while also optimizing for codebase stability, product stability, and target use case growth. Produce highly performant and flexible CLI using modern Typescript and software development techniques in collaboration with other team members. Find and identify opportunities to automate repetitive tasks that are made by developers on a daily basis. Collaborate with other UI engineers across the company to learn from others and to ensure you stay up to date on the company's UI best practices. Learn and improve your skills to continuously push us to deliver higher-quality tools and improve the UI team's workflows. This role requires Solid experience working with modern JavaScript environments. Familiarity with modern development and build tools such as eslint, docker, babel, and webpack. Experience with front-end JS testing tools and a comprehensive understa

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OpenAI
📍 San Francisco• Full-time• Remote• $251K – $278K/yr
3mo ago

About the team The Applied AI Engineering team is responsible for ensuring the safe and effective deployment of generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our API customers, working to build an effective backlog of frontier AI use cases for their industry and drive them to production through strong technical guidance. As an Applied AI Engineer in the Digital Native segment, you’ll work with industry-leading technology companies like Stripe, Uber, and Reddit to bring new AI capabilities into the products their customers use every day. You’ll partner directly with experienced product and engineering teams to turn frontier model capabilities into new features and agentic experiences. The work combines rapid experimentation with the demands of established products: complex systems, real users, and high expectations for quality and performance. Lessons from these deployments inform OpenAI’s product and research teams. About the role You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact – not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in our SF or Seattle office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Deeply embed with our most sophisticated and technical platform customers,

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Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values . This position is based out of India (Hyderabad). Who We Need Truveta is rapidly building a talented and diverse engineering team to solve complex healthcare and technology challenges. We are seeking a Senior Software Engineer with deep backend services engineering experience and a proven track record of building reliable, scalable, cloud-native systems. This role is ideal for an experienced engineer who can design and deliver backend APIs, distributed services, data-driven applications, and platform capabilities using Microsoft Azure and .NET technologies. You will work closely with product managers, architects, security teams, and other engineers to build services that power Truveta’s healthcare data platform. As a senior engineer, you will also help shape technical direction, drive engineering best practices, mentor other engineers, and contribute to the long-term reliability, scalability, and maintainability of Truveta’s services. This Opportunity Join the founding team of the Truveta India Development Center (IDC) and play a pivotal role in shaping its future. As one of the initial members, you'll help build and scale a high-impact organization while contributing to products and platforms that advance healthcare through data and AI. This is a unique opportunity to influence both the technical direction and the culture of a growing global engineering hub. Patients, doctors, and medical researchers deserve the same cutting-edge technological inn

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Clickup
📍 United States• Full-time• Remote• $200K – $250K/yr
4mo ago

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview: We are seeking a skilled and experienced Senior AI Engineer - Multi-Agent Frameworks to join our AI Platform team. In this role, you will play a pivotal part in building a cutting-edge platform that empowers our users to create and deploy sophisticated intelligent agents, with a key focus on enabling collaborative and multi-agentic behaviors . This is a backend-focused role that requires deep expertise in AI, large language models (LLMs), and orchestration software. Key Responsibilities: Design, develop, and maintain a robust platform to enable users to create and manage AI agents and their interactions. Integrate and work with multiple LLMs, ensuring seamless orchestration and scalability for both individual and coordinated agent operations. Leverage orchestration frameworks like LangGraph and others to build complex workflows and pipelines that support diverse agent functionalities, including frameworks for multi-agent coordination . Develop and implement evaluation frameworks for testing AI agents in challenging and complex scenarios, focusing on individual performance and system-level dynamics. Stay at the forefront of AI advancements, incorporating the latest research and technologies into our platform to enhance agent capabilities and collaboration. Collaborate with cross-functional teams, including product managers, designers, and frontend engineers, to deliver a seamless user experience for building and deploying intelligent systems. Address challenging AI privacy scenarios, ensuring compliance with data protection regulations and best practices within agent-based applications. C

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OpenAI
📍 San Francisco• Full-time
4mo ago

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We are seeking a Senior Mechanical Engineer to lead the design, integration, and sustaining engineering of mechanical subsystems in robotic platforms. You will work closely with experienced engineers and cross-functional partners to set functional requirements, develop and iterate on hardware to meet program expectations. This role is aimed at candidates with strong fundamentals in mechanical system design — including tolerance, alignment, load paths, wear, and failure modes — and robotics. You will contribute to real hardware programs moving from prototype through early production. You will lead both new subsystem development and ongoing improvements to existing systems based on testing, field performance, and manufacturing feedback. This role is based in San Francisco, CA, and requires in-person presence 4 days a week. In this role, you will Lead the design and iteration of mechanical subsystems, including structures, mechanisms, and actuators. Create and maintain CAD models, assemblies, and drawings with appropriate tolerancing and documentation. Build and test prototypes, supporting debugging of mechanical issues such as fit, alignment, friction, and wear. Assist in developing test methods and executing validation to evaluate performance, durability, and failure modes. Work with cross-functional teams to integrate mechanical components with sensors, actuators, and control systems. Support transition of designs from prototype to manufacturable assemblies, incorporating DFM and DFA considerations. Collaborate with manufacturing partners

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4mo ago

About the team The AI Deployment Engineering team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We serve as trusted technical advisors, helping customers and partners move from early experimentation to production-scale AI systems. As a Partner AI Deployment Engineer focused on AWS, you will operate at the center of one of our most strategic partnerships, driving joint customer success and enabling AWS and partner ecosystems to scale adoption of OpenAI-powered solutions. About the role We are looking for a highly experienced technical leader to serve as the primary technical counterpart to AWS field leadership (Solutions Architects, Specialists, and Partner teams). This role goes beyond individual deal support—you will shape strategy, define engagement models, and build repeatable systems that scale across AWS globally. You will work across pre- and post-sales, guiding complex enterprise customers from ideation to production while enabling AWS and partners to independently drive deployments. You will combine deep technical expertise, strong judgment, and ecosystem leadership to maximize impact across a portfolio of high-priority opportunities. This role can be based in either Bangalore, Mumbai or Delhi . In this role, you will: Strategic AWS Engagement & Influence Serve as the senior technical counterpart to AWS field leadership, building trust and credibility across regions and teams. Influence joint account strategy and technical direction for high-priority opportunities. Shape how OpenAI engages with AWS by defining engagement models, prioritization frameworks, and best practices. Proactively identify and drive net-new opportunities and high-impact use cases across the AWS ecosystem. Complex Deal Leadership & Execution Lead technical strategy for large, ambiguous, and high-stakes enterprise engagements. Guide customers from early ideation through architecture design, prototyping, and production depl

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OpenAI
📍 San Francisco• Full-time• $287K – $423K/yr
4mo ago

About the Team Our Robotics team is focused on unlocking general-purpose robotics and advancing toward AGI-level intelligence in dynamic, real-world environments. Working across the full model and systems stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the physical constraints of real-world systems to improve people’s lives. About the Role We're looking for an experienced Electrical Engineer to help develop the next generation of robotic systems at OpenAI. This role spans the full lifecycle of hardware development, from early concept exploration and prototyping through circuit design, component selection, PCB layout, bring-up, integration, and deployment. Engineers in this role are expected to independently drive significant hardware efforts from initial concept through deployment. You will translate ambiguous goals into concrete engineering plans, make key technical decisions, coordinate closely with cross-functional partners, and own execution through the iterations required to deliver a successful system. Many of the systems we build are still being defined. You will work closely with mechanical, firmware, software, controls, and research teams to evaluate new ideas, develop novel hardware, and integrate it into robotic platforms. Success in this role requires strong engineering judgment, comfort operating in ambiguous spaces, and the ability to balance rapid experimentation with the discipline required to build reliable and scalable systems. The ideal candidate enjoys building things from first principles and is equally comfortable evaluating a new technology, debugging a prototype on the bench, reviewing PCB layout details, and driving system integration efforts. You should be able to move quickly when appropriate, but also know when investing in robustness, simplicity, or infrastructure will create leverage for future development. This role is

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Canopy Works
📍 New York City Tri State Area• $200K – $230K/yr
4mo ago

Job Title: Staff Software Engineer Company: Canopy, Inc. Location: New York City Tri-State Area About Canopy At Canopy , we build technology that helps make healthcare environments safer for the people delivering care. Our connected safety platform powers real-time communication, response coordination, and location intelligence across hospitals and complex care environments. We operate in high-trust, high-reliability environments where software quality, operational resilience, and customer experience matter deeply. Our engineering organization is scaling alongside our growth, and we are looking for a Staff Software Engineer who can help shape both our technical direction and the way we build. This is not simply a feature delivery role. This is a systems-thinking role for an experienced engineer who can drive architecture, influence engineering standards, and help scale a platform, organization, and culture simultaneously. The Role As a Staff Software Engineer, you will serve as a senior technical leader across multiple product and platform initiatives. You will partner closely with Product, Design, Infrastructure, and Engineering leadership to design and evolve systems that are reliable, scalable, and maintainable as Canopy grows. You will operate horizontally across teams — helping define architecture, improve engineering velocity, raise quality standards, and mentor engineers through influence rather than direct management. The ideal candidate combines deep technical judgment with pragmatism, strong execution instincts, and the ability to simplify complexity in fast-moving environments. What You’ll Own Technical Leadership & Architecture Lead the design and evolution of scalable full-stack systems across frontend applications, backend services, APIs, and platform infrastructure Drive architectural decisions that improve reliability, maintainability, performance, and developer velocity Identify and address technical debt, scalability bottlenecks, and oper

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Hark
📍 San Jose• $120K – $300K/yr
5mo ago

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role We’re looking for an experienced Audio Firmware Engineer to develop and optimize embedded audio solutions on Hark’s next-gen AI device. This role spans audio system bring-up, DSP algorithms development, integration and optimization, and deployment of advanced audio/AI features for consumer devices. The ideal candidate should be comfortable developing, integrating, debugging, tuning, and validating audio algorithms on an embedded production platform. Responsibilities Bring up audio processing stack on new hardware, drive implementation and integrations of audio processing pipeline Debug complex audio issues end-to-end using platform logs, working from kernel and DSP traces up through application-level symptoms Partner with the AI team to support audio-driven inference workloads (wake word, ASR, speech enhancement) within latency, power, and memory budgets Collaborate with hardware, acoustics, and product teams from prototype through production to ship audio that feels effortless to users Requirements 5+ years of professional firmware or embedded audio development, ideally on consumer products that have shipped at scale Experience with core Audio DSP algorithms and their implementations, including AEC, Beamforming, NR, AGC, VAD, DoA e

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About the Team OpenAI, in partnership with our capital and technology partners, is building a global network of advanced datacenters to support the most demanding AI workloads. The Industrial Compute team ensures that all datacenter systems are manufactured, delivered, and commissioned to the highest standards of quality, reliability, and performance. We work closely with manufacturing partners, engineering teams, and operations staff to ensure that every component is delivered ready for installation, startup, and long-term service. About the Role We are seeking an experienced Quality Engineer (QE) to drive Product and Site Quality initiatives across OpenAI’s infrastructure ecosystem. In this role, you will establish, implement, and manage a comprehensive, quality-focused program across our global supply chain network, ensuring excellence from design through deployment. You will be responsible for end-to-end quality of finished products, as well as maintaining and elevating manufacturing site quality standards. Working cross-functionally with Design (NPI) and Engineering teams, you will help achieve First Pass Yield (FPY), quality, and reliability targets. This includes leading site and fixture validation efforts, driving yield improvement initiatives (Yield Bridge, CPI), and implementing robust corrective and preventive actions (CAPA) to resolve issues at their root cause. In addition, you will play a key role in supplier quality management, assessing and qualifying new vendors, overseeing ongoing supplier performance, and ensuring readiness for future business awards. You will lead vendor audits, monitor key performance metrics, and coordinate corrective actions to ensure predictable delivery schedules, reduced operational risk, and high system reliability. By partnering closely with external suppliers and internal Engineering and Operations stakeholders, you will help ensure OpenAI’s datacenter infrastructure is delivered on time, meets the highest quality standa

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