Director, Product Line Management – Wireless Infrastructure Hewlett Packard EnterpriseDirector, Product Line Management – Wireless InfrastructureCupertino, CaliforniaPlease note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. They combine strong business acumen with deep technical credibility and possess the ability to balance customer requirements, market dynamics, engineering execution, and financial objectives to deliver differentiated products and sustained business growth.
Zero Trust - SASE - Infrastructure Security Manager Accenture PlcZero Trust - SASE - Infrastructure Security ManagerSan Francisco, CADesign and deliver network security and Secure Access Service Edge (SASE) offerings and solutions for clients as well as the following: Support the delivery of Accenture's security offerings related to cloud security, including security governance (security policies and procedures), security strategy (security planning), risk (risk assessments and management), cloud data protection (classification, encryption, tokenization), cloud-based identity and access management, technology/provider-specific cloud architecture (AWS, Azure, Softlayer, VMware) and monitoring/analytics for and in the cloud. Whether we're defending against known cyberattacks, detecting and responding to the unknown, or running an entire security operations center, we will help companies build cyber resilience to grow with confidence.
Research Engineer - AI/RL Infrastructure Applied IntuitionResearch Engineer - AI/RL InfrastructureSunnyvale, CaliforniaSupported by industry-leading tools and infra, researchers can access millions of miles of data from large fleets, and deploy methods they develop into various autonomous and robotic systems including self-driving cars/trucks, autonomous mining/construction machines, humanoid robots and dexterous hands. This role is ideal for engineers who design, build, and operate state-of-the-art, large-scale ML systems and enjoy working closely with researchers to develop and accelerate the core platform powering next-generation physical AI systems.
Infrastructure & Capital Projects - Senior Project Controls Analyst, ANS Accenture Infrastructure and Capital ProjectsInfrastructure & Capital Projects - Senior Project Controls Analyst, ANSSan Francisco, California$130,000–$180,000 / yearVisit us here to learn more about Accenture Infrastructure & Capital Projects As Accenture continues to grow, you may see a variety of new career opportunities, and depending on the role and location you may be directed to apply through Accenture Infrastructure and Capital Projects LLP or one of our other legal entities - Accenture Infrastructure and Capital Projects, LLC or Accenture Infrastructure and Capital Projects Inc., with benefits varying by country and role, so please check with your recruiter for details. $130,000 - $180,000 a year $146,100 – $187,000 - San Francisco CA $145,100 – $185,900 - Mountain View CA $126,600 – $162,100 - Sacramento CA Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience.
Software Engineer, Growth Infrastructure ReplitSoftware Engineer, Growth InfrastructureFoster City, CAWe are looking for an experienced Growth Infrastructure Engineer to build and maintain the technical backbone that enables scalable growth experiments, high-performance data pipelines, and automated systems that drive user acquisition, engagement, and product iteration. This role sits at the intersection of growth, product, and infrastructure - combining deep technical engineering with experimentation and data-driven optimization.
Software Engineer, Payments Infrastructure Sierra AISoftware Engineer, Payments InfrastructureSan Francisco, CADesign the secure-capture protocol every channel sits behind, so the payment feels like one continuous conversation to the person on the other end, while telephony providers, contact-center platforms, embedded chat, and Sierra's own voice stack all present a single event lifecycle to agent code, no matter how different each customer's stack is. Make payments something other engineers can use without becoming compliance experts: drive the platform toward processor-agnostic charging, self-serve onboarding, and single-tenant deployments, so a team can add payments to an agent without a payments infrastructure engineer in the loop.
NewIT Engineer, Internal AI Infrastructure FIGMAIT Engineer, Internal AI InfrastructureSan Francisco, CA$153,000–$296,000 / yearYou'll design and build the paved path that takes an internal AI app, bot, or agent from prototype to production: shared hosting and execution infrastructure, model routing that directs each task to the right model based on cost and capability, and the telemetry, audit, and cost-attribution layer that gives our security and finance partners visibility no one at Figma has today. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Senior Director, Technical Product Management - ML Platform & Infrastructure Paramount Skydance CorpSenior Director, Technical Product Management - ML Platform & InfrastructureSan Francisco, CA$203,000–$255,000 / yearRepresent ML platform strategy at the executive and cross-company level Balance long-term platform investment with near-term product acceleration and measurable business impact Technical Product Leadership Lead product strategy for end-to-end ML lifecycle capabilities, including training, deployment, monitoring, iteration, and model governance Drive roadmap and prioritization for real-time and batch inference infrastructure Lead product direction for feature stores, ML data platforms, data pipelines, and offline/online consistency frameworks Enable experimentation platforms, model evaluation workflows, and safe rollout practices for AI and ML systems We aim to improve developer productivity. Experience with MLOps platforms, orchestration, CI/CD for ML, model observability, drift detection, and safe deployment practices Fluency with data analysis workflows, including SQL, Python, telemetry, experimentation data, and platform health metrics Executive communication skills, with the ability to translate technical platform work into business impact, strategic tradeoffs, and clear decision-making Proven ability to align engineering, data science, infrastructure, product, and business stakeholders across matrixed organizations Preferred Qualifications: Experience in building or improving machine learning platforms.
Staff Software Engineer, Infrastructure SkydioStaff Software Engineer, InfrastructureSan Mateo, California$230,000–$275,000 / yearThe Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders , soldiers in battlefield scenarios , and beyond . Skydio’s Cloud infrastructure team is here to ensure that the Skydio Cloud platform is always available to our customers when they need it: whether that’s performing a routine bridge inspection or it’s aiding in rescue operations during a natural disaster.
Member of Technical Staff - Foundation Model Architecture & AI Infrastructure Vinci4dMember of Technical Staff - Foundation Model Architecture & AI InfrastructurePalo Alto, CaliforniaToday, our unified model already operates across a subset of partial differential equations in real industrial environments. The next phase is expanding that unified architecture across operators, including: Maxwell’s equations.
Software Engineer, Systems & Infrastructure MatroidSoftware Engineer, Systems & InfrastructurePalo Alto, CAWorking alongside software and computer vision experts, you'll collaborate to solve problems, enable features and increase efficiency by building new shared services, systems, and tooling. Extreme enthusiasm for working on infrastructure and backend systems - you care deeply about how software systems work, and want to be around other people who feel the same.
MTS - Infrastructure Engineer Ironsite AIMTS - Infrastructure EngineerSan Francisco, CaliforniaIronsite is backed by leading investors (8VC, South Park Commons, Saga Ventures) and prominent operators across technology and construction, including Eric Schmidt, Jeff Dean, Jeff Rothschild, Mark Leslie, Scott Wu, Eric Glyman, Karim Atiyeh, Russell Kaplan, and others, alongside over a dozen construction industry operators who have joined us as partners in building this. We are accelerating the speed, efficiency, and predictability of construction, especially for complex, mission-critical infrastructure projects, including data centers, LNG facilities, sports stadiums, hospitals, and other large-scale developments, by training AI models on egocentric construction footage and labor productivity data.
Staff AI Infrastructure Engineer LumaStaff AI Infrastructure EngineerRedwood City, CaliforniaAt Luma, improvements to scheduling, efficiency, and reliability immediately translate into faster research iteration and entirely new product capabilities. At Luma, we operate rapidly scaling 10k+ GPU fleets, pushing utilization, throughput, and reliability hard enough that yesterday’s solutions break regularly.
Lead Software Engineer, AI & Robotics Test Infrastructure RoboForceLead Software Engineer, AI & Robotics Test InfrastructureMilpitas, CaliforniaExperience: 6+ years of software engineering experience focused on building test infrastructure, automation frameworks, or CI/CD tooling for complex systems (robotics, autonomous vehicles, aerospace, etc.), with a proven track record of architecting systems from scratch rather than just maintaining existing pipelines. EOL Test Software & Packaging: Partner with Manufacturing Operations to package your test framework into a secure, operator-friendly format (e.g., GUIs, automated pass/fail scripts) for the factory floor, ensuring seamless, IP-isolated hardware validation.
Senior / Staff AI Research Engineer, Data Infrastructure RoboForceSenior / Staff AI Research Engineer, Data InfrastructureMilpitas, CaliforniaIn this role, you will own the full pipeline — from raw teleoperation and UMI device data collection through curation, annotation, and storage, to post-training infrastructure that scores demonstrations, identifies failure patterns, and closes the loop back into model retraining. Build annotation tooling and data curation workflows — quality filtering, deduplication, episode scoring, and domain reweighting — to produce high-quality training datasets for robot policy learning.
Data Center Infrastructure Electrical Engineer (PE Required) - Fremont, CA or Plano, TX Delta Electronics (Americas) Ltd.Data Center Infrastructure Electrical Engineer (PE Required) - Fremont, CA or Plano, TXFremont, California$150,000–$210,000 / yearFull timeThis role requires deep expertise in medium‑voltage (MV) and low‑voltage (LV) electrical distribution , including switchgear, UPS systems, transformers, and high‑power architectures for HPC, AI, and ML workloads. This engineer ensures that the electrical backbone of next-generation data centers is safe, reliable, and capable of supporting rapidly increasing power demans for HPC, AI, and ML workloads.
Senior Software Engineer, Infrastructure Skydio, Inc.Senior Software Engineer, InfrastructureSan Mateo, CA$190,000–$240,000 / yearThe Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders, soldiers in battlefield scenarios, and beyond. About the team: Skydio's Cloud infrastructure team is here to ensure that the Skydio Cloud platform is always available to our customers when they need it: whether that's performing a routine bridge inspection or it's aiding in rescue operations during a natural disaster.
Staff Software Engineer, Infrastructure Skydio, Inc.Staff Software Engineer, InfrastructureSan Mateo, CA$230,000–$275,000 / yearThe Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders, soldiers in battlefield scenarios, and beyond. About the team: Skydio's Cloud infrastructure team is here to ensure that the Skydio Cloud platform is always available to our customers when they need it: whether that's performing a routine bridge inspection or it's aiding in rescue operations during a natural disaster.
Senior Software Engineer, Infrastructure SkydioSenior Software Engineer, InfrastructureSan Mateo, California$190,000–$250,000 / yearThe Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders , soldiers in battlefield scenarios , and beyond . Skydio’s Cloud infrastructure team is here to ensure that the Skydio Cloud platform is always available to our customers when they need it: whether that’s performing a routine bridge inspection or it’s aiding in rescue operations during a natural disaster.
Senior Software Engineer - Infrastructure AfterQuerySenior Software Engineer - InfrastructureSan Francisco, CaliforniaYou will be responsible for the shared platforms that enable our engineers and research teams to run large-scale human-in-the-loop workflows, evaluation harnesses, and automated data pipelines used to train frontier AI models. Strong Team: Our founding team has experience from Citadel Securities, Meta, Google, Silver Lake, and Morgan Stanley — work alongside world-class engineers and researchers.