Staff Software Engineer, Data Infrastructure Peregrine TechnologiesStaff Software Engineer, Data InfrastructureSan Francisco, CA$200,000–$275,000 / yearBacked by leading Silicon Valley investors, Peregrine helps public safety organizations, state and local and governments, federal agencies, and private-sector institutions address society’s challenges with unprecedented speed and accuracy. Our AI-enabled platform turns siloed and disconnected data into operational intelligence — instantly surfacing mission-critical information to empower better, faster decisions that improve outcomes at every touchpoint.
Staff Software Engineer - Infrastructure, Data Platform BatonStaff Software Engineer - Infrastructure, Data PlatformSan Francisco, California$260,000–$350,000 / yearLeveraging your expertise in distributed systems and real-time data processing, you'll mentor engineering teams, shape strategic technical direction, and give the organization a single view of its data across both the Baton and Ryder platforms. Collaborative Stakeholder Engagement: Collaborate closely with both technical and non-technical stakeholders across Baton and Ryder to enhance data-driven decision-making and foster innovative data practices across the organization.
Senior/Sr. Staff AI Infrastructure Engineer, Inference & Optimization DiDiSenior/Sr. Staff AI Infrastructure Engineer, Inference & OptimizationSan Jose, CaliforniaIn this role, you will design high-efficiency inference pipelines, build system-level stability frameworks, and optimize hardware execution to ensure ultra-low latency and rock-solid operational reliability. By leveraging DiDi's specialized technology, operational expertise, and integrated ecosystem, we are positioned to build and operate a highly efficient, user-oriented autonomous fleet.
Software Engineer, Data Infrastructure Otter.aiSoftware Engineer, Data InfrastructureMountain View, CaliforniaUsing artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. If you're excited about building the backbone of a data-driven organization and thrive in a space where engineering excellence meets real-world impact, we'd love to talk.
ML Infrastructure Engineer, Training Dyna RoboticsML Infrastructure Engineer, TrainingRedwood City, CaliforniaHigh-Performance Data Handling: Design high-throughput pipelines to ingest and transform terabytes of multimodal robot data (video, proprioception, 3D signals), ensuring dataloaders never starve the GPUs. Optimize Researcher Ergonomics: Build a research codebase and job scheduling system (Kubernetes/SLURM) that prioritizes fast iteration, automated retries, and seamless failure recovery.
Cloud Infrastructure Engineer Florvets StructuresCloud Infrastructure EngineerSan Francisco, CaliforniaAs a Cloud Infrastructure Engineer, you will be responsible for designing, implementing, and maintaining our cloud infrastructure to support our construction projects. Our team is made up of highly skilled professionals who are passionate about creating cutting-edge designs and delivering exceptional results for our clients.
Infrastructure & Capital Projects – Senior Digital Solutions Delivery Leader, ANS Accenture Infrastructure and Capital ProjectsInfrastructure & Capital Projects – Senior Digital Solutions Delivery Leader, ANSSan Francisco, CaliforniaVisit 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. You'll serve as a trusted advisor to owner executives, program sponsors, PMO leaders, and technology stakeholders on digital strategy, operating model decisions, and the use of PMIS and adjacent technologies to improve capital delivery and asset outcomes.
Director, Product Line Management – Wireless Infrastructure Hewlett Packard EnterpriseDirector, Product Line Management – Wireless InfrastructureCupertino, California$204,000–$434,000 / yearPlease 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.
Director, Product Line Management - Wireless Infrastructure Hewlett Packard EnterpriseDirector, Product Line Management - Wireless InfrastructureCupertino, CA$204,000–$434,000 / yearPlease 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.
Senior Staff TPM - Core Infrastructure & Platform Evolution NubankSenior Staff TPM - Core Infrastructure & Platform EvolutionPalo Alto, CaliforniaHigh-Scale Infrastructure Depth: Extensive experience managing massive cloud-native systems, focusing heavily on core networking, distributed databases, and high-utilization environments. You will optimize database and network utilization, steer regionalization strategies, and guide our architectural evolution—whether that means refactoring monoliths into microservices or right-sizing macro-services.
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.
Infrastructure & Capital Projects – Resident Engineer (Highway), ANS Accenture Infrastructure and Capital ProjectsInfrastructure & Capital Projects – Resident Engineer (Highway), ANSSan Francisco, California$250,000–$300,000 / 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. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in Illinois, Maine, Minnesota, California, Colorado, District of Columbia, Maryland, Massachusetts, New York, New Jersey, Ohio, Virginia or Washington as set forth below.
Software Engineer, Growth Infrastructure ReplitSoftware Engineer, Growth InfrastructureFoster City, CaliforniaWe 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.
Director of Engineering, Infrastructure ZapierDirector of Engineering, InfrastructureSan Francisco, CaliforniaEstablish data-driven approaches to measuring delivery velocity and quality; work with stakeholders, peers, and engineering teams to own those measures and deliver ongoing improvements. You have a concrete vision for how AI will reshape infrastructure and developer tooling, and you've already started implementing it by rethinking roles, eliminating legacy workflows, and reallocating capacity based on where AI is headed.
Senior Infrastructure Engineer FieldguideSenior Infrastructure EngineerSan Francisco, CaliforniaWe’re backed by top investors including Growth Equity at Goldman Sachs Alternatives, Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, DNX Ventures, Global Founders Capital, Justin Kan, Elad Gil, and more. You have proficiency in designing effective monitoring/alerting and log aggregation solutions using tools like Datadog and AWS CloudWatch (New Relic, Prometheus/Grafana, etc.).
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.
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.
Software Engineer Intern, Infrastructure NeuralinkSoftware Engineer Intern, InfrastructureSouth San Francisco, CAWe run a mixture of cloud-based and on-prem systems and have a user base spanning from highly technically proficient engineers to non-technical scientists and doctors; but all of them need solid systems, rugged networking, and bullet-proof software to do their jobs. This role will integrate tightly with teams across the company, and span all layers of the work environment stack, from deployment of physical hardware on the manufacturing line to custom tooling built to facilitate neural recordings from implants.
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.