Systems Engineering Jobs

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE We are seeking a highly motivated Hardware Design Engineer for Pure’s Datastore team. The Pure Engineering Team builds the industry’s most innovative, high-performance, energy-efficient and TCO-optimised storage solution. As part of this team, you will help productize this differentiated storage solution for our customers. WHAT YOU'LL DO Plan, lead, implement, and debug SSD hardware designs from concept through production. Contribute to all phases of the product lifecycle, including architecture, design, documentation, validation, and sustaining. Drive interoperability testing across server/storage systems and SSDs. Diagnose and resolve HW-related issues in collaboration with internal teams, external partners, and JDMs. Apply deep knowledge of major bus technologies such as PCIe, DDR, NAND, SPI, and I2C. Evaluate system-level tradeoffs in mechanical, thermal, power, and signal integrity design. Work with diagnostics/test engineers by reviewing test plans to ensure proper coverage Lead failure analysis and root cause investigations to support field issues and customer escalations Incorporate automation and AI to enhance SSD design and validation processes. Provide technical guidance and mentorship to junior engineers. We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara, CA office in compliance with Everpure’s policies, unless you are on PTO, or work trav

Job Title AI Senior Systems Engineer (AI for RAMS & Systems Engineering) Job Description As an AI Senior Systems Engineer, you will help shape the future of Systems Engineering at Philips by driving the application of Artificial Intelligence within Systems Engineering and Reliability, Availability, Maintainability and Safety Engineering (RAMS) practices. You will identify opportunities where AI can enhance engineering activities, improve engineering productivity, and increase the quality, consistency, and traceability of engineering deliverables throughout the product development lifecycle. Acting as a thought leader and trusted advisor, you will help engineering teams understand, adopt, and effectively apply AI technologies within their daily engineering work. Working closely with systems engineers, RAMS engineers, architects, software teams, and AI specialists, you will bridge the gap between engineering challenges and emerging AI capabilities. You will contribute to the evolution of engineering methodologies, tools, and best practices that enable the next generation of AI-enabled Systems Engineering and RAMS Engineering at Philips. Your role: Drive the adoption of AI within Systems Engineering and RAMS practices across Philips. Identify, develop, and scale AI use cases for requirements engineering, system architecture, modelling, verification, validation, traceability, and engineering knowledge management. Identify, develop, and scale AI use cases for RAMS engineering like FMEA, data analysis, HALT/ALT, Modelling Simulation & Analysis, for Hardware and Software Support engineering teams in evaluating and implementing AI-enabled engineering workflows, methods, and tools. Coach and educate Systems Engineers, RAMS Engineers, Architects, and technical leaders on the opportunities, limitatio

Hyliion is committed to creating innovative solutions that enable clean, flexible and affordable electricity production. The Company’s primary focus is to develop distributed power generators that can operate on various fuel sources to future-proof against an ever-changing energy economy. Job Purpose The Senior Systems Engineer is a key technical leader responsible for the high-level architectural design of the full KARNO generator system’s mechanical, electrical, and fluid hardware, ensuring it satisfies customer and product requirements from concept through delivery. This role owns the translation of customer and product manager inputs into detailed technical requirements and leads the engineering and validation testing effort needed to prove the system out. Working across mechanical, electrical, thermal, and fluid systems disciplines, the Senior Systems Engineer partners closely with project management, production, and manufacturing teams to keep the product on schedule, while also providing technical mentorship to less experienced members of the engineering team, with the ability to step into hands-on design work directly when needed. This role advances KARNO’s development through disciplined systems thinking, clear requirements ownership, and strong cross-functional leadership. AI at Hyliion At Hyliion, AI is core to how we work. We equip every team member with leading AI tools and count on you to use them — to move faster, solve harder problems, and help us realize the full potential of KARNO technology for the world. Duties and Responsibilities System Architecture & Design Lead and execute the high-level architectural design of the full KARNO generator system to satisfy customer requirements Make system-level design trade-offs across mechanical, electrical, thermal, and fluid subsystems Ensure architectural decisions align with performance, cost, manufacturability, and reliability goals Perform system-level assembly

About Us SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja , the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world. AI at SharkNinja At SharkNinja, we’re building an AI-native culture. We’re not waiting for the future; we’re creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what’s possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn’t been invented yet, you’ll fit right in. The Systems Engineering Executive Leader is responsible for defining and driving the systems engineering strategy across the company's portfolio of consumer products. This executive serves as the technical integrator between product development, hardware engineering, software engineering, R&D, product management, design, quality, manufacturing, and supply chain teams to ensure the delivery of innovative, high-quality, and reliable consumer appliances. This leader establishes the frameworks, processes, tools, and organizational capabilities required to manage increasingly complex, connected, and software-enabled products. The role ensures that customer requirements are translated into robust system architectures, technical requirements, verification plans, and product performance outcomes while accelerating innovation and reducing development risk. As a key member of the

Assoc Director, IT Systems Engineering — United States - North Carolina - Raleigh. Apply via Workday.

Work Flexibility: Hybrid or Onsite Stryker is seeking a dynamic and visionary product development leader with a proven track record of leading large, complex product development programs through the application of systems engineering principles. As the technical quarterback, this individual will drive alignment, collaboration, and execution across a multidisciplinary global product line, ensuring teams work cohesively toward shared objectives while delivering innovative solutions that improve patient care. As medical technologies continue to evolve, our products must operate seamlessly within broader healthcare ecosystems and enabling technology platforms. This leader will be responsible for defining and overseeing system-level architectures, ensuring robust integration across hardware, software, data, connectivity, and partner technologies. They will champion a systems-thinking approach, proactively identify opportunities and risks, and ensuring our products deliver a seamless user experience while supporting the future needs of a connected healthcare environment. The ideal candidate combines deep technical expertise with exceptional leadership, influencing stakeholders across functions, geographies, and organizational levels to bring complex systems and product visions to life. https://www.stryker.com/us/en/nse.html What You Will Do Lead system architecture, technical strategy, and integration activities for complex medical device products and platforms. Translate customer, clinical, and business needs into system-level requirements and drive alignment across software, electrical, and mechanical engineering teams. Lead requirements development, allocation, traceability, and verification planning thro

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 We are seeking an experienced Revenue Systems Engineering Director to join our Finance Systems team at Anthropic. You will own the technical architecture, implementation, and optimization of our Order-to-Cash (OTC) systems as we scale globally. You'll serve as the technical lead for our revenue systems within the ERP ecosystem, driving automation of revenue recognition processes and integrating our billing, sales, and financial systems. Responsibilities Revenue Platform Architecture & Development Own the revenue systems architecture and development supporting multi-entity operations and global subsidiaries Design and implement scalable data pipelines using DBT/SQL frameworks to transform high-volume financial transactions with low-latency response times for real-time integrations Build and maintain automated revenue recognition workflows ensuring ASC 606 compliance for complex subscription and consumption-based billing models Data Engineering & Pipeline Orchestration Modify, enhance, and optimize data transformation models using DBT/SQL to support standardized data flows across accounting, billing engineering, and product teams Establish comprehensive testing frameworks for data transformations, formally documenting successful behavior to support System Integration Testing (SIT) and audit requirements Systems Integration & Technical Leadership Collaborate with Revenue Accounting, Data Infrastructure, and BizTech teams to design enterprise-grade integration patterns supporting significant transaction volume growth Implement automated reconciliation engines achieving rapid variance detection and substantially

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Vanta's Corporate Engineering team is the infrastructure layer that keeps 1,500+ people connected, secure, and moving fast. This role leads the shift from a reactive support function to a platform function the whole company relies on. Corporate Engineering owns the systems, tooling, and access infrastructure Vanta runs on. From identity and device management to AI tooling infrastructure and ITSM, CE makes sure Vanta's people have the right access, the right tools, and the right guardrails on day one and every day after. CE is at an inflection point. The company has scaled quickly, AI tooling is live company-wide, and the team is ready for a leader who sets technical direction, establishes clear ownership, and builds the leadership layer beneath them. As Sr. Manager, Systems Engineering, you will lead a team of experienced engineers, own several of the company's highest-priority platform initiatives, and make CE a function the rest of Vanta builds on rather than routes around. What you’ll do as a Senior Manager, Systems Engineering at Vanta: Lead, coach, and grow a team of systems engineers and a tech lead. Set clear expectations, hold a high bar, and develop the people who build Vanta's most critical internal systems. Own joiner, mover, and leaver automation end to end in Okta Workflows, so access is correct on day one, follows people through role changes, and closes completely on departure, including API keys and service credentials. Build and own device assurance across macOS and Windows, defining OS, browser, and device-state policy ahead of enforcement rather than in response to it. Rationalize the ITSM estate so self-servi

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's autonomous vehicle platform has to work - not just in the easy cases, but in the hard ones. The ones we design for, simulate at scale, and deliberately break to understand. We're looking for a Senior/Staff Systems Engineering TPM who owns the technical substance of how we validate autonomy: what we test, why we test it, and whether our coverage actually means something. This is not a planning or scheduling role. You'll work embedded with Autonomy, Simulation, and Systems Engineering teams to drive the technical rigor behind our validation program — defining scene sets, structuring fault injection campaigns, and ensuring our simulation coverage is meaningful, traceable, and systematically growing. The program infrastructure is owned elsewhere; your job is to make sure what's inside it is technically sound. About the Work Scenario & Coverage Strategy Understanding the taxonomy of challenging scene sets used for auto

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. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

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. Join Tenstorrent and help bring next-generation AI accelerator technology from silicon bring-up to production. You’ll work at the forefront of hardware innovation, diagnosing complex issues across chips, systems, firmware, and software while collaborating with some of the brightest engineers in the industry. This role offers the opportunity to solve challenging technical problems, build impactful debug solutions, and directly influence the reliability and performance of cutting-edge AI compute platforms. 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 A hands-on hardware debug engineer who thrives on solving complex, cross-functional problems at the intersection of silicon, firmware, and software. A curious and analytical problem solver who enjoys digging into failures, identifying root causes, and driving issues from initial discovery through resolution. An engineer with strong post-silicon validation and bring-up experience who is comfortable working in the lab and getting deep into system-level behavior. Someone who enjoys building tools, improving debug methodologies, and creating

InnoPhase Inc., DBA GreenWave Radios™, is at the forefront of innovation in Open RAN digital radios. Our cutting-edge solutions, powered by the Hermes64 RF SoC, are designed to enhance network energy efficiency while dramatically reducing operational expenses, with purpose-built silicon that is the heart of ORAN-based active antenna arrays. Headquartered in San Diego, California, GreenWave Radios™ has established itself as a pioneer in delivering power-efficient digital-to-RF solutions. The company is supported by a talented team of over 100 engineers spread across four global R&D facilities. With an extensive portfolio of more than 120 global patents, GreenWave Radios™ continues to push the boundaries of radio technology and innovation. To learn more about GreenWave Radios™ and hear what our employees have to say, visit the GreenWave™ certification profile at GreatPlacetoWork.com or explore our Home - GreenWave Radios website. About the Role We're looking for an experienced Principal Hardware Design Engineer/Manager to lead PCB design and development for next-generation, high-performance cellular base stations. You'll architect the board-level circuitry that complements our custom silicon — spanning digital processing, high-speed SerDes, power management, and RF transmission/reception — to deliver a solution that's both high-reliability and low-cost/power. This opportunity is a high-visibility technical leadership role based in San Diego, CA: you'll own PCB system architecture from concept through qualification, working shoulder-to-shoulder with various domain experts to ensure everything comes together. What You'll Do Own PCB development end-to-end, from concept through production Design and implement RF, analog, digital, and power circuits for high-performance base station products Partner with experts on floor planning and PCB constraints for seamless integration Lead and review schematic capture and PCB layout Optimize PCB stack-up for per

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. 勤務地：東京 Tenstorrentでは、AIサーバーおよび関連インフラの安定運用を支える Support Engineer. AI Infrastructure を募集しています。 本ポジションでは、GPUクラスタ、ストレージ、ネットワーク機器を含むシステムの保守・障害対応・予防保守を担当し、社内外の関係者と連携しながら、高可用性なAIインフラ環境の維持に貢献していただきます。 Who You Are ハードウェア保守・障害対応に強みを持ち、現場での迅速な切り分けと対応ができる方 顧客現場やデータセンター環境でのサポート業務を主体的に進められる方 Linuxサーバー、GPUサーバー、ネットワーク機器に関する基本的な知識と実務経験をお持ちの方 インシデント発生時にも冷静に状況を整理し、適切にエスカレーションできる方 国内外の関係者と協力しながら、正確で丁寧なコミュニケーションができる方 実務を通してAIインフラや高性能コンピューティング環境への理解を深めたい方 What We Need AIサーバーおよび関連システム（GPUクラスタ、ストレージ、ネットワーク機器等）の保守・点検・障害対応 サーバー障害時の一次切り分け、オンサイト修理、部品交換 NOC（Network Operations Center）やリモート監視ツールを用いた稼働状況の監視およびログ分析 トラブル発生時のインシデントレポート作成と関係者への報告 ファームウェア、BIOS、ドライバの更新対応 顧客向け定期点検および予防保守の計画・実施 エンジニアリング部門およびサポート部門と連携したエスカレーション対応 保守用在庫の管理、交換部品の配送調整 現場導入支援、設置・移設作業への立ち会いおよび主導 日本語および英語能力 Required Qualifications x86サーバー、もしくはにGPUサーバーの保守経験 ハードウェア障害の切り分けスキル（電源、メモリ、ストレージ、PCIe、GPU等） Linux環境（Ubuntu、RHEL、CentOS等）での操作経験 基本的なネットワーク知識（L2/L3、TCP/IP、DHCP、IPMI） 顧客現場での技術サポート経験、またはオンサイト対応経験 障害対応や保守作業に関するドキュメント作成経験 IPMItool、smartctl、nvidia-smi等の診断ツール使用経験 英語マニュアルの読解力、および海外サポート窓口とのやり取り経験 英会話能力（エンジニア間でのQ&Aが可能なレベル Nice to Have NVIDIA GPUサーバー（DGX、HGX等）やSupermicro、Inspur、Lambda等のハードウェア取り扱い経験 Ethernet、InfiniBand、NVLink、PCIeスイッチに関する知識 データセンターでの運用・保守経験 GPUベースのディープラーニングやAIワークロードに関する基礎知識 Linux shellスクリプトによる簡易自動化経験 普通自動車運転免許 英語での交渉能力および詳細なテクニカルコミュニケ~ションが可能 What You Will Learn 最先端のAIサーバーおよび高性能コンピューティング環

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. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

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. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.