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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 GreenWave Radios is seeking a highly technical Staff RF System Test Engineer to develop, automate, and execute system-level validation of next-generation RF SoC platforms from early silicon bring-up through production release. You will be a hands-on contributor responsible for uncovering complex RF performance issues, building scalable test infrastructure, and generating the data that drives critical design decisions. As a member of the Systems Engineering Group in San Jose, CA, this role sits at the intersection of RF hardware, embedded software, and test automation. You will work directly with designers and developers to characterize radio performance, debug challenging system behaviors, and create robust automated test solutions that ensure compliance with global wireless standards. The ideal candidate combines deep RF measurement expertise with strong software development skills and enjoys solving difficult technical problems through rigorous experimentation and data-driven analysis. What You'll Do Des

About the Role Systems Technology, Inc. (STI) is seeking a Perception & Guidance Engineer - UAS to join our Aerospace division, developing the vision-based targeting and terminal guidance algorithms behind our next-generation counter-UAS and interceptor platforms. You'll own the pipeline from raw camera frames to steering command — writing detection and tracking algorithms, building state estimation, and translating that into guidance laws that fly. This role sits at the center of our seeker and interceptor programs, working closely with embedded and systems engineering to get algorithms from bench to flight. What You'll Do Design and implement detection and tracking algorithms for dual-camera, gimbal-free visual seeker systems Develop state estimation for target position, velocity, and confidence from visual sensor data, with an eye toward future sensor fusion (IMU, GPS, radar) Design and tune guidance laws (e.g., proportional navigation and variants) for terminal-phase target intercept Work with embedded engineers to ensure algorithms run in real time on size-, weight-, and power-constrained flight hardware (e.g., ModalAI VOXL 2 Mini class compute) Define and validate the interface between perception/guidance outputs and downstream flight control and mission systems Support hardware-in-the-loop and software-in-the-loop simulation to characterize algorithm performance before flight Participate in flight testing, telemetry analysis, and post-flight debugging of guidance performance Collaborate with GNC engineers to ensure guidance outputs are compatible with flight control system assumptions Maintain code quality through version control, code review, and structured testing practices Minimum Qualifications 2–4 years of professional experience in computer vision, guidance/navigation algorithms, or closely related controls/estimation work Proficiency in Python and/or C++ for algorithm development Working knowledge of computer vision fundamentals (detection, trackin

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. Tenstorrent is building the next generation of AI and RISC-V compute. As a Sr. Staff NPI Global Supply Planner, you will own end-to-end demand, materials, and production planning across our AI hardware product lines, including Blackhole, Galaxy, and future platforms. You will translate engineering release schedules, BOM structures, and production forecasts into executable supply and capacity plans with our contract manufacturers, while keeping planning data accurate and reliable across ERP and PLM systems. This role is hybrid, based out of Toronto, ON. 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 strategic, detail-oriented supply chain planner who can turn engineering and program ambiguity into clear, executable plans. Experienced in NPI planning within semiconductor, AI hardware, or high-tech manufacturing environments. Comfortable working across BOM structures, engineering change processes, ERP and PLM systems, and system-of-record data. A clear, collaborative communicator who can align engineering, operations, planning teams, and contract manufacturers. What We Need Lead end-to-end materials and production planning across NPI r

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As an Inventory Specialist supporting SpaceXSI data center operations, you will be responsible for the accurate receipt, storage, issuance, kitting, and control of high-value materials and equipment (servers, GPUs, networking gear, power and cooling components, spare parts, and other critical infrastructure). You will maintain inventory accuracy, support just-in-time material flow to construction and operations teams, and help ensure the site can scale rapidly while meeting safety and quality standards. RESPONSIBILITIES: Receive, store, and issue raw material, parts, details, and hardware to support data center construction, commissioning, and operations Store parts and materials in designated locations (bins, racks, VLMs, or staging areas), accurately identifying parts and locations Maintain strict material handling practices in accordance with procedures, especially for high-value or sensitive equipment Perform picking and kitting functions to assemble necessary kits of parts, material, and hardware; verify all items are available and accounted for Verify all material received for conformity with accompanying paperwork, checking for damage, correct part numbers

About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage. Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved. Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile. Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . Your role Dialpad is looking for a Senior Engineering Manager to lead the team at the very core of the Dialpad experience: calling. Reporting directly to the VP of Engineering, you'll own the calling experience end-to-end: frontend, backend, and hardware devices (first-class desk phones, Room Phones, ATAs, and DECT solutions). Y

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 Team The Robotics Reliability Engineering (RRE) team at Nuro focuses on fleet reliability as our AV capabilities and operating footprint grow. We work across software, hardware, infrastructure, and operations to understand fleet behavior and improve operational readiness. When high-severity events impact missions or fleet-wide performance, RRE coordinates investigations and ensures that lessons learned result in durable platform improvements. About the Role As a Software Reliability Engineer at Nuro, you will help design, build, and operate systems that support our autonomous vehicle platform and fleet operations. You will work across the full development lifecycle, from early design and deployment through operations and continuous improvement. You’ll join an on-call rotation to stay close to real-world operations. At its core, the role is building resilient systems through automation, observability, and operational feedback. T

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Product Sales is a team of functional and technical specialists who both lead and advise on deals for the most strategically important products in Stripe’s portfolio. Revenue suite Product Sales is tasked with attacking a $100B market opportunity for back office finance automation across billing, tax, revenue reporting, and data. What you’ll do As a Billing Account Executive at Stripe, you'll use your sales and product expertise to help drive growth through both existing and new-to-Stripe customers. You'll collaborate with the core sales, marketing, product marketing, and product teams to develop deep product and industry knowledge and drive strategic deals. You'll lead in-depth product discussions with existing and prospective customers and build and execute against our go-to-market strategy. Responsibilities Drive revenue to achieve and overperform on targets Lead new sales and upsell conversations of Stripe for existing and prospective customers Drive strategic thought leadership within assigned territory to ensure user success and revenue growth Understand the sales process and competitors for Stripe, including software, hardware, and payments Serve as both an internal and customer-facing expert on Stripe, especially for your specialized products Synthesize and relay customer feedback and our findings to inform Stripe's product roadmap Engage with Product, Marketing, and User Operations teams to help amplify our growth trajectory Who

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies from the world's largest enterprises to the most ambitious startups use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Revenue Suite Product Sales is a team of functional and technical specialists who both lead and advise on deals for the most strategically important products in Stripe’s portfolio. The Sales team has been tasked with attacking a $100B market opportunity for back office finance automation across billing, tax, revenue reporting, and data. What you’ll do As a Revenue Suite Account Executive at Stripe, you'll use your sales and product expertise to help drive growth through existing Stripe customers. You'll collaborate with the core sales, marketing, product marketing, and product teams to develop deep product and industry knowledge and drive strategic deals. You'll lead in-depth product discussions with existing and prospective customers and build and execute against our go-to-market strategy. Responsibilities Drive revenue to achieve targets Lead sales and upsell conversations of Stripe for existing and prospective customers Drive strategic thought leadership within assigned territory to ensure user success and revenue growth Understand the sales process and competitors for Stripe, including software, hardware, and payments Serve as both an internal and customer-facing expert on Stripe, especially for your specialised products Synthesize and relay customer feedback and our findings to inform Stripe's product roadmap Engage with Product, Marketing, and User Operations teams to help amplify our growth trajectory Who you are You'r

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The Boise Facilities team supports the critical infrastructure that keeps site operations running smoothly and efficiently. The team works on complex systems that directly impact uptime, safety, and manufacturing performance. It’s a highly collaborative environment where engineering expertise drives real impact! The Senior/Staff Facilities SCADA Engineer plays a key role in designing, maintaining, and improving automation systems that power facility operations. This individual brings deep PLC and SCADA expertise to ensure reliability, scalability, and integration across systems. The role partners closely with engineering, operations, and vendors to support commissioning, solve issues, and lead continuous improvement efforts. Responsibilities: Design, develop, and maintain PLC programs using Siemens Step 7, TIA Portal, and FasTrak 505 Workshop Configure and support HMI applications using AVEVA System Platform OMI Lead deployment and fixing of Siemens automation hardware across platforms Partner with multi-functional teams to support system reliability, performance, and commissioning Document PLC code, system changes, and configurations Use Agentic AI to improve current process workflows and drive continuous improvement Minimum Qualifications: Bachelor’s degree in Controls Engineering or related field, or equivalent experience 5+ years of PLC programming, hardware, and

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As a Lead, Inventory Specialist at SpaceXSI, you will oversee warehouse and inventory operations supporting our rapidly expanding data centers. You will lead the receiving, storage, kitting, issuance, and tracking of high-value servers, networking equipment, power and cooling components, spare parts, and infrastructure materials. In this role you will mentor team members, manage daily priorities and backlogs, drive inventory accuracy, and ensure material is available when needed for construction, commissioning, and ongoing operations. You are expected to be hands-on, maintain a high sense of urgency, and continuously improve processes in a fast-paced, high-growth environment. RESPONSIBILITIES: Support daily/weekly team meetings by participating in ways to help the team improve Oversee daily shift backlogs and inventory-related queues. Maintain continual oversight of incoming receipts, RMA backlogs, and outgoing material requests to ensure compliance with metric targets Re-assign daily shift resources to meet demands and prioritize critical data center hardware, spare parts, and infrastructure materials Provide input to employees’ performance Function as focal poi

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: This role will involve the supervision of a team of hourly employees operating within SpaceXSI's logistics organization. Our goal is to become a leader in logistics performance with high inventory efficiency/accuracy and industry leading customer service while maintaining a safe work environment that utilizes the latest in applicable technologies. This supervisor will also be responsible for leading and driving continuous improvement throughout all aspects of their operations. RESPONSIBILITIES: Manage an hourly workforce by assessing employee performance, providing positive/constructive feedback, facilitating conflict resolution, and addressing repeat issues with corrective actions, performance improvement plans or through disciplinary means Lead by setting an example, taking feedback from all levels of the organization, and motivating your organization to achieve the highest level of results Monitor and improve operations, ensuring a safe work environment with the goal of zero OSHA recordable annually Manage the incoming acceptance, storing, and issuing of a wide variety of parts, details, and hardware into inventory Manage operations that provide industry leadi

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 Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. Key responsibilities Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide Develop resilient, flexible systems that adapt in real time to real world events Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators Maximize compute efficiency across the fleet by autoscaling and orchestrating production, research, and experimental workloads Build and operate production-grade deployment pipelines for releasing new models to users Provide high-performance inference infrastructure that enables researcher

About the Role As a Strategic Finance Senior Associate at Together, you will own the cost side of our data center build-outs. Reporting to the Director of Strategic Finance, Infrastructure, you will be the financial counterpart to our Infrastructure Strategy team: building and maintaining the cost base for every deployment, validating that build-outs are tracking to plan, and helping evaluate the economics of the sites we take on next. This is a hands-on, high-ownership role at the center of the largest capital decisions the company makes. The ideal candidate has done this before: inside a hyperscaler, neocloud, colocation provider, or data center developer, or covering data centers from the investing side, and pairs real infrastructure fluency with exceptional financial rigor. Responsibilities Own the cost base and cost forecast for Together's data center build-outs, spanning data center non-recurring costs, hardware capex across GPUs, networking, and storage, and ongoing operating costs Validate that build-outs are tracking to plan: maintain budget-versus-actual against approved estimates, flag variances early with a clear read on the driver, and work with Infrastructure Strategy and Infrastructure Engineering to close them out Maintain the all-in unit cost of owned capacity, on a dollars-per-GPU-hour basis by GPU type, as the source of truth used for pricing, margin, and capital allocation decisions Partner with Infrastructure Strategy to evaluate new data center opportunities, building the economics for candidate sites including prepays, financing requirements, tax treatment and incentives, and total cost of ownership over the life of the site Pressure-test hardware cost assumptions and surface savings opportunities with Infrastructure Engineering and Infrastructure Strategy, from equipment choices to storage sizing and cluster configuration trade-offs at different scales Translate hardware delivery timelines and payment milestones maintained by Infrastructure S

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Requirements Develop and maintain embedded networking products based on Marvell switch solutions, such as the Enterprise Fortress Gateway. Work directly with arm64 Linux systems, including kernel-level resource management (cgroup, memory handling, OOM prevention). Perform throughput tuning and ensure system stability under high-load and edge-case scenarios. Debug and resolve complex network and system issues, particularly those arising from real-world customer setups involving advanced topologies. Collaborate with hardware engineers on platform bring-up and system-level optimization. Leverage Marvell SDKs and toolchains, including CPSS, for switch configuration, diagnostics, and control. (Bonus) Utilize or integrate DPDK-based architecture for advanced performance use cases. Remain flexible and ready to handle a wide range of tasks based on project and customer needs, including support, feature integration, testing, and documentation.

About the Team: Compute Infrastructure builds the platform that turns enormous amounts of compute into a reliable engine for frontier AI. We design, provision, schedule, operate, and optimize the systems that connect accelerators, CPUs, networks, storage, data centers, orchestration software, agent infrastructure, developer tools, and observability into one coherent experience for researchers and product teams. Our work spans the entire stack: capacity planning and cluster lifecycle, bare-metal automation, distributed systems, Kubernetes and scheduling, deep system optimization, high-performance networking, storage, fleet health, reliability, workload profiling, benchmarking, and the developer experience that lets teams use enormous compute systems with confidence. At this scale, small improvements to communication, scheduling, hardware efficiency, or debugging workflows can compound into meaningful research velocity. We are hiring across Compute Infrastructure rather than for a single narrow team, and we use this opening to match strong engineers to the problems where they can have the most leverage. About the Role We are looking for engineers who want to build the compute platform behind OpenAI's research and products. You may not be the strongest in low-level systems, high-performance computing, distributed infrastructure, reliability, CaaS, agent infrastructure, developer platforms, tooling, or the user experience around infrastructure. What matters is that you can reason carefully about complex systems, write durable software, and raise the quality and velocity of the people around you. Depending on your background and interests, you might work close to hardware, close to users, on CaaS and agent infrastructure, or on the control planes and data planes in between. You could help bring new supercomputing capacity online, optimize training workloads from profiler traces and benchmarks, improve NCCL and collective communication behavior, reason about GPUs, NICs, t