Array Labs jobs

Program Manager 1 - Solar Arrays United States-California-Goleta

Billings and Collections Specialist Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As a Senior Billing and Collections Analyst, you'll own the full order-to-invoice cycle, turning delivered hardware, professional services, and compute usage into accurate, timely invoices that support clean financial reporting and on-time customer payment. You'll serve as a key link between Sales, Services, and Finance by leading month-end billing close activities, translating contract terms into billing in NetSuite, and managing credits and adjustments with audit-ready documentation. You'll respond to billing inquiries, resolve order-to-invoice issues before they delay payment, and identify process improvements and

Technical Market Research Intern - Solar Array Domain Amsterdam Area posted: Posted 30+ Days Ago

ML Applied Scientist, Apple Services Engineering AI/ML Seattle, United States of America The Apple Services Engineering (ASE) organization is one of the most exciting examples of Apple's long-held passion for combining art with technology. We are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And we do it on a massive scale, meeting Apple's high expectations with high performance, to deliver a huge variety of entertainment in over 40 languages to more than 170 countries. Our scientists and engineers build secure, end-to-end solutions powered by Artifical Intelligence & Machine Learning. Thanks to Apple's unique integration of hardware, software, and services, designers, scientists and engineers in ASE partner to get behind a single unified vision. That vision always includes a deep commitment to strengthening Apple's privacy policy, one of Apple's core values. Although services are a bigger part of Apple's business than ever before, these teams remain small, flexible, and multi-functional, offering greater exposure to the array of opportunities here. We are looking for a Machine Learning Research Engineer to join our mission. You will design and develop the AI/ML solutions that power these experiences, from proposing and prototyping new algorithms to building reusable capabilities for the entire organization. In our flexible and collaborative environment, you'll work with designers and engineers to build secure, end-to-end solutions that honor Apple's core value of user privacy. In this role, you will drive technical advancement, influence product direction, and be part of the team that is

Engineering Technician II – Towed Array IMA Program St.Marys, GA posted: Posted 23 Days Ago

Sr. Phased Array Architect, Amazon Leo Redmond, Washington, USA Amazon Leo is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world. As a Senior Hardware Engineer, you will be a part of the team of experts working on the development of advanced antenna systems. You will own or contribute to the following: · Design and optimization of different blocks of antennas system · Design the proof of concept systems and prototypes for the next generation of the antennas · Design of RF circuitry in collaboration with RF team · Design of automated test systems, test fixtures and factory test · Bring-up and test campaigns of the active antennas · Lead and review PCB layout Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Basic Qualifications: - BS degree in electrical engineering or computer engineering, or equivalent experience - 7+ years of industrial experience especially board level analog/digital design - 3+ years of experience in high-speed digital design, multi-gigabit SERDES, signal and power integrity - 3+ years of experience in using schematic - 2+ years of experience using lab equipment, including oscilloscopes, logic analyzers, and multi-meters - Experience with Mentor Graphics or Cadence layout tools Preferred Qualifications: - Masters of Science or PhD in

RF System Integration Engineer, Amazon Leo Redmond, Washington, USA Amazon LEO is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Amazon LEO will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity. As a RF Systems Integration and Validation Engineer, you will be the hands-on owner of test setups and systems that validate our phased array and RF communication systems. You'll assemble and configure test stations and frameworks to execute test plans and validate software/hardware performance metrics and support integration campaigns across lab, environmental, and in-orbit testing. This role is ideal for someone who enjoys working directly with RF hardware, Linux command line tools, and mechanical fixtures, and who can quickly turn ambiguous test goals into reliable test execution. Key job responsibilities - Execute integration and validation test plans for phased arrays, RF front-ends, and full communication chains, documenting results and anomalies. - Operate test equipment and Linux-based control systems via command-line tools and scripts; contribute to scripting improvements (e.g., Python, Matlab, Bash). - Build, configure, and maintain RF and system test setups, including cabling, fixtures, motion systems, and environmental test interfaces. - Work with mechanical, antenna, and RF engineers to design and refine fixtures, mounts, and interfaces for repeatable measurements. - Support

On-Device ML Infrastructure Engineer (CoreML Runtime), Graphics, Games and Machine Learning Cupertino, United States of America Imagine being at the forefront of an evolution where powerful AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently. We stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple a top destination for on-device machine learning innovation. Our team builds the essential infrastructure that enables machine learning at scale on Apple devices. This involves onboarding innovative architectures to embedded systems, developing optimization toolkits for model compression and acceleration, building ML compilers and runtimes for efficient execution, and creating comprehensive benchmarking and debugging toolchains. This infrastructure forms the backbone of Apple's machine learning workflows across Camera, Siri, Health, Vision, and other core experiences, contributing to the overall Apple Intelligence ecosystem. If you are passionate about the technical challenges of running sophisticated ML models on resource-constrained devices and eager to directly impact how machine learning operates across the Apple ecosystem, this role presents an incredible opportunity to work on the next generation of intelligent experiences on Apple platforms. We are seeking an ML Infrastructure Engineer with a specific focus on graph compilers and runtimes. If you are a highly motivated software engineer who is creative, versatile, and passionate about machine learning operator primitives, common compiler optimizations, runtimes, and system software engineering in the fast-paced and dynamic

Senior AI&T Engineer - Phased Array Test Tempe, Arizona About us One team. Global challenges. Infinite opportunities. At Viasat, we're on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate. We're looking for people who think big, act fearlessly, and create an inclusive environment that drives positive impact to join our team. What you'll do Viasat's Space Infrastructure Team designs, builds, and operates satellites that deliver global connectivity in demanding environments. Your work within the integration and test team will directly impact payload performance, schedule, and on‑orbit mission success. This role is for a Senior AI&T (Assembly Integration and Test) Engineer focusing on Array RF Testing. In this role, you will lead RF test development and validation for advanced space based phased array communications payloads. You will be responsible for defining how array performance is characterized, verified, and productionized across engineering and flight builds. This role sits at the intersection of RF design, systems engineering, and test, with primary responsibility for validating phased array performance. You will design and deploy scalable RF test solutions capable of measuring full-array and subarray performance, translating system requirements into repeatable validation strategies. This includes driving verification of key antenna metrics such as radiation patterns, EIRP, G/T, SNR, EVM, ACLR, beam steering accuracy, and calibration stability. You will work closely with the product design teams, located in both Europe and the US, to

On-device ML Infrastructure Engineer, Compiler & Runtime, Graphics, Games & ML Cupertino, United States of America Imagine being at the forefront of an evolution where modern AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently. We stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple the leading destination for machine learning innovation. Our team builds the essential infrastructure that enables machine learning at scale on Apple devices. This involves onboarding powerful architectures to embedded systems, developing optimization toolkits for model compression and acceleration, building ML compilers and runtimes for efficient execution, and creating comprehensive benchmarking and debugging toolchains. This infrastructure forms the backbone of Apple's machine learning workflows across Camera, Siri, Health, Vision, and other core experiences, contributing to the overall Apple Intelligence ecosystem. We're building an end-to-end developer experience for machine learning development that brings to bear Apple's vertical integration. This allows developers to iterate on model authoring, optimization, transformation, execution, debugging, profiling, and analysis. If you are passionate about the technical challenges of running sophisticated ML models across all devices, from resource-constrained devices to powerful cluster, and eager to directly impact how machine learning operates across the Apple ecosystem, this role presents a great opportunity to work on the next generation of intelligent experiences on Apple platforms. We are seeking an experienced ML Infrastructure Engineer with a specific

Optical Validation Engineer, Google Cloud Sunnyvale, CA, USA The Optical Validation Team is responsible for supporting the development, new product introduction (NPI), and post-production testing of optical transceivers, switches, and technologies that power Google Cloud Platforms. We test new optical transceiver designs, unit, environmental, and system qualification of transceivers in a wide array of host networking and compute platforms, optical circuit switches (OCS), and transceiver component design at the wafer level. As an Optical Hardware Validation Engineer, you will play a key role in the development of Google Cloud network infrastructures. You will be asked to perform testing of novel and complex configurations of networking hardware, and collaborate closely with hardware and software teams to configure lab networks and test infrastructure that evaluate and characterize the performance of cloud computing and networking products. You will support lab maintenance, helping with the day-to-day operations with pride in cleanliness, organization, and safety which plays a key role in the rapid development and support of Google's data center technologies. Our Platforms Infrastructure Engineering team designs and builds the hardware and software technologies that power all of Google's services. Our computational challenges are complex and unique, enabled by cutting-edge custom hardware designed and made in-house. As a hardware engineer, you will design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You will see those systems from concept all the way through to high-volume manufacturing. Your work has the potential to shape the machinery that goes

Open Application - Join Our Talent Network! Multiple Locations Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs' Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company's COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company's custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com . Why Apply Now? Even if there's no active posting for your expertise, we're always on the lookout for exceptional talent to join our future product and team innovations. We are considering resume of all levels. - Early connection: Be on our radar for upcoming openings that match your skills - Show your passion: Tell us how you can contribute to enterprise‑scale AI connectivity - Stay informed: Receive priority updates on relevant job opportunities at Astera Labs Who We Want to Meet We welcome professionals across disciplines, including but not limited to: - Hardware Engineering (ASIC, mixed‑signal, PCB) - Firmware & Embedded Systems (CXL, PCIe, DDR) - Software & Validation (Firmware QA, system validation, diagnostic SW) - Product & Program Management - Operations & HR - Sales, Customer Programs, and Field Applications Astera Labs champions diversity in technical expertise and career stages from senior engineers and managers to internship

Sr Software Technical Product Manager - Arrays US - California - San Diego posted: Posted 11 Days Ago

AI Data Labeler Remote About Mashgin Mashgin powers the world's best checkout experience for over 40 million users. Customers just place their items on our kiosks and our AI rings up their entire order in less than a second. With Mashgin, lines are now optional. Mashgin's technology powers over 1 billion transactions at your favorite locations, including over half of all US professional sports teams, 4,000 convenience stores, major airports, universities, and more. We're not just building cutting-edge AI-we're creating real-world impact and unforgettable experiences. Backed by a well-funded Series B, we're also one of the rare AI startups that's already profitable. Our secret? A culture of extreme ownership, autonomy, and customer obsession. At Mashgin, we are building something extraordinary by challenging conventional wisdom. We've thrown out the old rules to focus on what truly matters: creating a kickass product that makes people say, 'Wow'. We don't care about short-term wins; we build systems that stand the test of time. If you thrive in a culture of excellence without compromise and want to see your work have an immediate, remarkable impact, you're in the right place. Position Summary We are hiring an AI Data Labeler / Computer Vision Annotator to serve as the ground truth backbone of our computer vision pipeline. In this role, you will annotate the images and video our hardware captures, audit model predictions against reality, and surface patterns that tell us when our cameras, lighting, or models are not performing as expected. Your work directly determines

Mechanical Engineer - Satellite Solar Array, (Starlink) Redmond, WA 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 enabling human life on Mars. MECHANICAL ENGINEER - SATELLITE SOLAR ARRAY (STARLINK) SpaceX is looking for a highly motivated engineer to join the Solar Product Team. In this position, you will design and implement the next generation of photovoltaic power systems for new Starlink satellite versions. This role is ultimately responsible for the design, qualification, production rate capability, and reliability of Starlink power generation assemblies used across multiple satellite payloads and vehicle architectures. RESPONSIBILITIES: - Design and analysis of solar array components ranging from photovoltaic cells to integrated electro-mechanical solar array assemblies. - Own and design various satellite mechanical systems and/or associated tooling specifically for the solar array sub-assembly. - Prepare detailed content for technical design reviews. Demonstrate extreme ownership of the production outcome of the Starlink solar factory across yield, uptime, and cost. - Work across disciplines with partner teams such as GNC, Avionics, Operations, and Payloads to achieve the best vehicle outcomes. - Provide analytical rationale for design capability through hand calcs, and FEA where applicable. - Complete engineering drawings, schematics, and specifications to define purchasing, manufacturing, and operational requirements. - Write, design and execute test procedures and verification plans in both electrical and mechanical design spaces

Scientific Account Executive Switzerland | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE This is a hybrid sales and customer success role for someone with real scientific depth. You'll be the primary point of contact for customers - from first conversation through ongoing engagement. That means understanding what a protein design team is actually trying to achieve, helping them pick the right assays, making sure their experiments are set up correctly, and

Senior Engineer Design Automation, Scribe Design Non-Array Hyderabad - Phoenix Aquila, India posted: Posted 30+ Days Ago

Scientist, Antibody Developability Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build out antibody developability at Adaptyv - the panel of assays that separates a nice binder from a manufacturable, stable, well-behaved therapeutic. Aggregation, thermostability, self-association, polyreactivity, solubility, viscosity, and chemical liabilities: you'll build the experimental stack that flags these early, and make it something customers can order as a product. These assays exist today as a scattered, bespoke collection. Your

Data Scientist - Hardware Acoustics Boulder, United States of America The Hardware Acoustic organization at Apple is dedicated to delivering industry-leading audio experiences across all our products. We are a multidisciplinary team of acoustic engineers, researchers, and machine learning experts who push the boundaries of sound quality, noise cancellation, and user interaction. Our Machine Learning Data team is the foundational backbone for these efforts. We are responsible for building the robust data infrastructure, pipelines, and analytical tools that enable the development, training, and evaluation of cutting-edge machine learning models for acoustic applications. We work with vast, complex datasets, ensuring their quality, accessibility, and utility for our ML scientists and engineers. We are seeking a highly motivated and skilled Data Scientist/Engineer to join our Machine Learning Data team within Hardware Acoustics. This role sits at the intersection of data engineering, data science, and machine learning, with a specific focus on acoustic and sensor data. You will be instrumental in designing, developing, and maintaining scalable data pipelines, ensuring data quality, and preparing complex datasets that power machine learning models enhancing Apple's hardware acoustic performance. You will collaborate closely with ML engineers, acoustic scientists, and hardware engineers to understand their data needs and deliver impactful, data-driven solutions. Design, develop, and maintain robust and scalable data pipelines for collecting, processing, and transforming large volumes of acoustic, sensor, and related metadata. Collaborate with acoustic engineers and ML scientists to identify, extract, and engineer features from raw acoustic data for machine learning models. Implement rigorous data

Spacecraft Field Programmable Gate Array (FPGA) Engineer - Millennium Space Systems USA - El Segundo, CA posted: Posted 2 Days Ago

Sr. RF and Wireless Systems Engineer, Amazon Leo Digital RF Systems Redmond, Washington, USA Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. The Role: As a Sr. RF and Wireless Systems Engineer in the Digital RF Systems team, you will be responsible for RF architecture definition, RF line-up design, and RF specifications of custom ASICs used in Leo phased array systems. You will work closely with RFIC and DSP designers during the design phase, participating in RFIC design reviews to ensure optimal system-level RF performance. You will use MATLAB, ADS and other simulation tools to model RF impairments of the chips and analyze complex phased array system and sub-system interactions. In post-silicon, you will be involved in prototyping, defining RF DVT lab test requirements to validate designs. You will support production teams through statistical analysis and yield optimization in cross-functional collaboration with manufacturing engineers. You will develop novel techniques to estimate and correct RF impairments such as IQ imbalance, LOFT implemented in hardware and firmware. Based on system-level constraints such as low power and cost, you will develop optimized solutions to support high throughput for our customers. You will engage with an experienced cross-disciplinary staff to conceive and design innovative product solutions, working closely with internal teams including ASIC/RFIC

Machine Learning Engineer Belfast - 20 Adelaide Street posted: Posted 30+ Days Ago

Optical Networking Research Post-Doc Greece, Athens posted: Posted 30+ Days Ago

Praktikum/Abschlussarbeit "Entwicklung von Komponenten eines digitalen Zwillings zur Simulation von Phased Array Antennen" (d/m/w) 2 Locations posted: Posted 30+ Days Ago