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Job Description Orchard Robotics is a Series A startup backed by top VCs like Quiet Capital, Shine Capital, and General Catalyst. We're securing America’s food supply by building the AI farmer that automates our nation’s farms. We've raised over $25M in pursuit of our mission to help farmers farm more profitably and sustainably than ever before. What We Do: We start by collecting the most valuable data for farmers, telling them everything about what is growing on their millions of trees, across thousands of acres of farmland. We do this using advanced camera systems we build, that take pictures of every one of the billions of fruit in a farm. This data lives in our cloud data platform, FruitScope, that we've developed from the ground up to help farmers manage their crops with precision. Farmers across the nation use our industry-leading software to look at their data, make critical decisions, and command farming operations on a daily basis. Our technology is used today across some of the largest farms in the nation. The Role: As a Forward Deployed Robotics Engineer at Orchard, you'll apply your cutting-edge robotics expertise at real-world farms. You'll deploy, develop, and implement our AI-powered camera systems in the fields. You'll spend about 50% of your time traveling to beautiful farms (apple orchards, vineyards, nut farms, strawberry farms, etc) across California, Washington, and occasionally other parts of the country. You'll work closely with our farmers, sales team, and engineers, rapidly solving problems and iterating on our technology in the fields. The remaining 50% of your time will be spent remotely, working with our core engineering team from home. You'll thrive if you enjoy technology and nature, are highly self-driven, and love engaging directly with customers. About the Role: * Full-time, remote role with frequent travel (approximately 50% farm-based, 50% work-from-home). * Frequent flying/driving/hotel stays near farms, typically involving scenic drives of 1-3 hours to customer fields (all travel expenses fully covered by the company). * Many opportunities to directly influence product development. * Perfect if you are a hardcore engineer who also loves nature. * Comprehensive Health, Vision, and Dental coverage, and we cover 100% of the premium. * Our team is close-knit & highly driven, you’ll work directly with our CEO and entire team. * We’re deeply motivated by the impact we’re making – every line of code written or new system built means less food that goes to waste, and more people who are fed. What You'll Do: * Deploy, debug, and develop the next generation(s) of our advanced, tractor-mounted camera systems at customer sites, ensuring they perform exceptionally in diverse farm environments. * Work closely with our farmers to deeply understand their operational needs, gather insights, and translate their feedback into real improvements. * Partner with our sales team during customer demonstrations to showcase Orchard's technology to new farmers. * Innovate and prototype creative solutions to unique problems encountered in the field, leveraging your robotics and engineering expertise. * Be a generalist, supporting different parts of our software and hardware stack if needed. What Makes You a Good Fit: * 1-3 years of relevant experience in industry or academia. * Strong technical skills in robotics (Python, C++, embedded hardware, computer vision, localization, sensor fusion, or robotics hardware). * You don't mind frequent travel, spending time out in the fields, and love the outdoors. * Self-motivated, able to solve problems independently and thrive in unstructured environments. * Excellent interpersonal skills and genuine excitement about engaging with customers. * Must not have allergies to common agricultural products (nuts, apples, grapes, strawberries, blueberries) Bonus Points: * Experience optimizing robotics algorithms for embedded platforms (e.g., NVIDIA Jetson). * Familiarity with agriculture or outdoor equipment. * Previous startup, outdoor adventure, or field deployment experience. If you're looking to help make a positive impact in the world by building the future of farming, come join us! Compensation Range: $135K - $175K

Job DescriptionAbout the Company Our client is a leading AI infrastructure provider operating a full-stack cloud platform designed for intensive AI workloads. The company features proprietary hardware and software architecture, including servers, racks, and data center designs. They're building comprehensive infrastructure for the global AI industry with large-scale GPU clusters and developer tools. The Mission Democratize access to cutting-edge AI infrastructure that accelerates global AI innovation at speed and scale, empowering builders worldwide. The Opportunity As the GTM Lead, you'll shape market positioning for Physical AI solutions, including GPU clusters, NVIDIA-powered infrastructure, and cloud platforms. This is a unique opportunity to drive Physical AI adoption across global enterprises in a well-funded, rapidly scaling organization. What You'll Do * Lead GTM strategy for Physical AI vertical with cloud infrastructure and AI computing solutions * Target industrial robotics, automotive OEMs, warehouse automation, and smart factory operators * Build distribution strategies with product engineering teams and industry experts * Drive enterprise sales from prospect engagement through deal closure and onboarding * Develop positioning, messaging, and GTM assets with cross-functional teams * Build thought leadership at industry conferences and trade shows * Lead talent acquisition and mentorship for GTM roles as the team scales What You Bring * GTM or product leadership in AI, cloud, robotics, manufacturing, or deep tech * Success launching new products/verticals from scratch with founder-mentality ownership * Strong sales skills and ability to engage C-level stakeholders * Experience building strategic partnerships with ecosystem leaders like NVIDIA * Domain knowledge in robotics, industrial automation, or manufacturing * Legal authorization to work in the U.S. on a full-time basis without visa sponsorship * Bonus: Startup founder experience, GPU platform familiarity, industry network Key Success Drivers * Executive presence with healthy assertiveness and collaborative leadership * Intellectual curiosity about AI infrastructure and Physical AI applications * Comfort in dynamic, high-growth environments * Innovation-focused with cross-functional collaboration skills * Professional maturity and transparent communication Why Join? * Competitive compensation ranging from $180,000 to $300,000 per year (base salary plus performance bonuses and RSUs) * 100% company-paid medical, dental, vision for employees and families * Flexible remote work environment * 401(k) with 4% match, disability/life insurance * 20 weeks parental leave (primary), 12 weeks (secondary) * Up to $85/month for mobile and internet * Opportunity to work with cutting-edge AI and cloud technologies * Contribute to sustainable AI infrastructure with energy-efficient data centers * Be part of a team that operates one of the most powerful commercially available supercomputers Interviewing Process * HR Screening * Level 1: Hiring Manager interview (General fit) * Level 2: Interview with Head of Product (In-depth) * Level 3: Interview with Head of Sales (In-depth) * Level 4: Case Study * Reference and Background Checks: conducted after successful interviews * Job Offer: provided to the selected candidate We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law. Compensation Range: $180K - $300K

Job Description About the Company Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We're looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere. About the role We are seeking an experienced Product leader to lead the development and launch of GPU-as-a-Service (GPUaaS) capabilities on the Armada edge computing platform. This role will drive the strategy, roadmap, and execution of our new product Leviathan - our 1 MW modular data center - and shape the overall software platform that manages Leviathan to deliver GPU-as-a-Service and next-generation AI capabilities including Models-as-a-Service and Agent-as-a-Service offerings. Location. This role is office-based at our Bellevue, Washington office. What You'll Do (Key Responsibilities) Strategic Leadership • Define and own the overall product strategy for GPU-as-a-Service across edge, hybrid, and cloud environments, • Create comprehensive go-to-market strategy for GPU services targeting AI/ML workloads at the edge, • Partner with engineering to design the platform, ensure proper scheduling, and orchestrate results, • Ensure seamless integration with existing Armada AEP platform, • Lead market analysis and competitive positioning against major Edge providers and GPU specialists, • Define key performance indicators and success metrics for the Leviathan / GPU as a service business, • Lead customer research initiatives to understand GPU workload patterns and enterprise requirements, • Define customer personas for edge AI, ML training, inference, and HPC workloads, • Build relationships with key enterprise customers and strategic partners Experience • 10+ years in product management with 3+ years in senior leadership roles, • Experience building and leading product management teams, • 5+ years working with GPU compute, AI/ML platforms, or HPC environments, • Experience with Kubernetes, container orchestration, and resource management systems, • Proven track record of launching and scaling infrastructure or developer platform products, • Deep understanding of GPU architectures (NVIDIA H100, A100, etc.) and workload characteristics, • Knowledge of AI/ML frameworks and inference pipelines, • Familiarity with cloud service models (IaaS, PaaS, SaaS) and billing systems, • Experience with B2B enterprise sales cycles and technical customer requirements, • Strong leadership skills with ability to influence and align cross-functional teams, • Experience building competitive analysis and positioning strategies, • Proven ability to present to C-level executives and board members, • Experience working with cross-functional leadership teams, • Strong strategic thinking and ability to translate market opportunities into product strategy, • Previous Director experience at GPU cloud providers (ie. CoreWeave, Lambda Labs, Paperspace, etc.) or major cloud platforms, • Background in edge computing, IoT, or distributed systems, • Familiarity with defense, energy, or industrial sectors and their AI/ML requirements, • Experience scaling product organizations in high-growth technology companies, • Understanding of MLOps, model deployment, and AI lifecycle management, • Experience with open-source orchestration tools (ie. Kubernetes, OpenShift, Rancher, etc.) For U.S. Based candidates: To ensure fairness and transparency, the starting base salary range for this role for candidates in the U.S. are listed below, varying based on location experience, skills, and qualifications. In addition to base salary, this role will also be offered equity and subsidized benefits (details available upon request). Benefits • Competitive base salary and equity, • Medical, dental, and vision (subsidized cost), • Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA), • Retirement plan options, including 401(k) and Roth 401(k), • Unlimited paid time off (PTO), • 15 paid company holidays per year #LI-ST1 #LI-Onsite Compensation$176,000—$220,000 USD You're a Great Fit if You're • A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge, • A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude, • Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company, • A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda, • Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you Equal Opportunity Statement At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time. Unsolicited Resumes and Candidates Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.

Job DescriptionAbout the Company Our client is at the forefront of the AI revolution, providing cutting-edge infrastructure that's reshaping the landscape of artificial intelligence. They offer an AI-centric cloud platform that empowers Fortune 500 companies, top-tier innovative startups, and AI researchers to drive breakthroughs in AI. This publicly traded company is committed to building full-stack infrastructure to service the explosive growth of the global AI industry, including large-scale GPU clusters, cloud platforms, tools, and services for developers. * Company Type: Publicly traded * Product: AI-centric GPU cloud platform & infrastructure for training AI models * Candidate Location: Remote anywhere in the US Their mission is to democratize access to world-class AI infrastructure, enabling organizations of all sizes to turn bold AI ambitions into reality. At the core of their success is a culture that celebrates creativity, embraces challenges, and thrives on collaboration. The Opportunity We are seeking a Cloud Solutions Architect (Pre-Sales) to join our client's team. This role offers an exciting opportunity to work with state-of-the-art AI and cloud technologies, including the latest NVIDIA GPUs, and contribute to one of the most powerful commercially available supercomputers. What You'll Do * Act as a trusted advisor to clients, providing technical expertise and guidance throughout engagements * Conduct PoCs, workshops, presentations, and training sessions on GPU cloud technologies and best practices * Collaborate with clients to understand their business requirements and develop solution architectures * Design and document Infrastructure as Code solutions, technical documentation, and how-tos * Help customers optimize pipeline performance and scalability * Serve as a single point of expertise for customer scenarios across product, technical support, and marketing teams * Assist with marketing efforts during events such as hackathons, conferences, and webinars What You Bring * 5+ years of experience as a cloud solutions architect, system/network engineer, developer, or similar technical role focused on cloud computing * Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, and skills of writing code in Python * Solid understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers, libraries (e.g. CUDA, OpenCL) * Solid understanding of the cloud ML tools landscape from industry leaders * Legal authorization to work in the U.S. on a full-time basis without visa sponsorship Key Attributes for Success * Self-starter who thrives in a fast-paced, evolving startup environment * Collaborative team player who can work effectively across different departments and cultures * Results-oriented with a strong sense of ownership and accountability * Innovative problem-solver who can identify new opportunities for growth * Continuous learner, eager to stay updated on the latest AI and cloud computing trends * High ethical standards and integrity, with a commitment to responsible AI development * Passionate about democratizing access to AI infrastructure Why Join? * Competitive compensation ranging from $180,000 to $300,000 per year (negotiable based on experience and location) * Comprehensive benefits package including 100% company-paid medical, dental, and vision coverage for employees and families * 401(k) plan with a 4% match program * Stock options plan * Flexible remote work environment * 20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers * Up to $85/month for mobile and internet * Opportunity to work with cutting-edge AI and cloud technologies * Contribute to sustainable AI infrastructure with energy-efficient data centers * Be part of a team that operates one of the most powerful commercially available supercomputers Interviewing Process * Level 1: Virtual interview with the Talent Acquisition Lead (General fit, Q&A) * Level 2: Virtual interview with the Hiring Manager (Skills assessment) * Level 3: Interview with the C-level (Final round) * Reference and Background Checks: Conducted post-interviews * Offer: Extended to the selected candidate We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law. Compensation Range: $180K - $300K

Job DescriptionFresh Consulting is a design-led, software development and hardware engineering company, offering end-to-end digital services to help companies innovate. We bring together amazing UX designers, sophisticated developers, digital strategists, and top-notch engineers to help companies create fresh experiences that connect humans, systems, and machines. We’ve been growing fast and need someone to help us continue to manage the delivery of high-quality work in a fast-paced environment. See more at freshconsulting.com Visit freshconsulting.com/portfolio to see our project work across several industries. View and apply to all jobs - or visit freshconsulting.com/careers Title: Robotics Navigation Engineer Duration: 6 months with possible extension Location: Onsite in Greater Seattle Area Benefits: Employee benefits at 100% including Medical, PTO, Holiday Pay, 401K Plan and much more! Hours: Minimum 40 Hours/Week Role: • Implement, integrate, and optimize the NVIDIA Isaac Preceptor stack for real-world robotic applications., • Develop and deploy visual SLAM (VSLAM) and geospatial navigation algorithms for indoor, outdoor, and unstructured environments., • Design and validate robust sim-to-real and real-to-sim workflows for navigation and perception systems., • Integrate and calibrate a wide range of sensors including GPS, RTK GPS, 3D LiDAR, stereo depth cameras, wheel odometry, IMU, encoders, and optical flow sensors., • Develop sensor fusion pipelines to enhance localization, mapping, and navigation performance., • Utilize ROS2 and Nav2 for system-level integration, navigation, and control., • Conduct system testing, troubleshooting, and optimization on NVIDIA Jetson platforms., • Collaborate with cross-functional teams to bring robotic solutions from prototype to deployment. Skills: • Hands-on experience with NVIDIA Jetson hardware and ecosystem., • Strong expertise in ROS2 and Nav2., • Proven experience with VSLAM and geospatial navigation., • Proficiency in sensor fusion and multi-sensor integration (GPS, LiDAR, depth, IMU, etc.)., • Experience with sim-to-real and real-to-sim development workflows., • Solid programming skills in C++ and/or Python. Education: BSCSE or related. FRESH-- • Work on engineering and research assignments with F500 companies and startups., • The relationships that we have created with our clients are one of a kind., • We help solve problems in many technologies focusing on R&D, product development, and manufacturing., • We work at the most cutting-edge and latest technologies from AR/VR to Autonomous technologies., • Closely working with our clients, we believe that long term investments are extremely important to maintain the culture we together have created. We’re a handpicked team of Engineers, digital strategist, designers, and developers united together in creating a fresh experience. Whether we are strategizing, designing, developing, or analyzing, our integrated team works as an extension of yours to improve your impact, your usability, and your customer conversion. In the process, we collaborate with you to get to know your business, understand your industry, and incorporate your big ideas into memorable experiences that keep your customers coming back for more. Equal employment opportunity: All qualified persons will be considered for employment without regard to race, color, religion, sex, national origin, age, marital status, familial status, gender identity, sexual orientation, disability for which a reasonable accommodation can be made or any other status protected by law. Assistance will be gladly provided upon request for any applicant with sensory or non-sensory disabilities. Fresh Consulting is a participating E-Verify company. freshconsulting.com Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Range $60/hr - $65/hr. Powered by JazzHR palOTXBqid

Job DescriptionAI Agent Developer Evangelist | naptha.ai About this role We are seeking an exceptional AI Agent Developer Evangelist to build and nurture relationships with frontier AI developers and shape the future of AI agent development. This is a rare opportunity to influence the future of AI agent infrastructure at a massively ambitious scale, backed by industry veterans and technical leaders, NVIDIA Inception, Google for Startups, and Microsoft for Startups. We're building the foundational infrastructure for the next wave of AI companies, enabling frontier AI developers (many leaving labs like OpenAI, Anthropic, and DeepMind) to build products powered by enormous networks of highly capable next-generation AI agents. As our Developer Evangelist, you'll be the bridge between these technical pioneers and our platform, helping shape both our technology and the broader agent development ecosystem. Core Responsibilities * Build relationships with frontier AI developers and AI infrastructure teams * Create technical content that showcases advanced agent development patterns * Develop and share best practices for agent system architecture * Represent Naptha at technical conferences and AI developer events * Gather deep technical feedback from the developer community * Identify emerging patterns and needs in agent development * Shape our platform's evolution based on developer insights Impact Areas * Building a vibrant community of AI agent developers * Shaping the technical narrative around agent development * Creating technical content that pushes the boundaries of what's possible * Fostering collaboration between frontier AI developers * Influencing the direction of agent development standards * Helping developers solve complex agent architecture challenges You're a good fit if you have: * Deep technical understanding of AI systems and agent architectures * Experience building developer communities in frontier tech * Strong technical writing and speaking abilities * Track record of creating influential technical content * Ability to understand and communicate complex technical concepts * Network within the AI development community * Passion for developer experience and education Required Experience: * Hands-on experience building AI systems or developer tools * Track record of technical community building * Strong technical communication skills * Experience with AI frameworks and tools * Understanding of developer platforms and ecosystems * Public speaking and technical presentation experience About the hiring process: * Technical background discussion * Community strategy presentation * Content creation exercise * Team collaboration interview * Technical communication assessment Compensation & Benefits: * Highly competitive salary and significant equity stake * Remote-first work environment * Full medical, dental, and vision coverage * Flexible PTO policy * Conference and travel budget * Learning and development support This is a unique opportunity to shape how the next generation of AI developers builds and deploys agent systems. You'll be working at the forefront of AI development, helping create the community and resources that will define the future of agent development.

Job DescriptionSoftware Engineer (Intern) | naptha.ai About this role We are seeking exceptional Software Engineering interns to join Naptha AI and contribute to building the future of AI agent infrastructure. This internship offers hands-on experience working with frontier AI technology, backed by industry veterans and technical leaders through NVIDIA Inception, Google for Startups, and Microsoft for Startups. We're building the foundational infrastructure for the next wave of AI companies, enabling frontier AI developers to build products powered by enormous networks of highly capable next-generation AI agents. As an Engineering Intern, you'll work directly with our technical team on real projects that impact our core platform. What You'll Do * Build and improve components of our agent infrastructure * Work on real features that ship to production * Collaborate with experienced engineers and researchers * Learn about large-scale AI systems and infrastructure * Contribute to our agent development platform * Gain experience with cutting-edge AI tools and frameworks Technical Areas * Backend development with Python and modern frameworks * Agent system implementation and testing * API development and integration * Performance optimization and monitoring * Infrastructure and tooling development * Testing and deployment automation Requirements * Currently pursuing BS/MS in Computer Science or related field * Strong programming skills, particularly in Python * Basic understanding of AI/ML concepts * Experience with software development practices * Ability to work independently and learn quickly * Strong problem-solving abilities Nice to Have * Experience with AI frameworks or tools * Familiarity with distributed systems * Open source contributions * Experience with developer tools * Interest in AI infrastructure About the internship * Duration: 12-16 weeks * Location: Remote * Competitive compensation * Real-world project ownership * Mentorship from experienced engineers * Opportunity for return offers This internship offers a unique opportunity to work on cutting-edge AI infrastructure while learning from experienced technical leaders. You'll gain practical experience building systems that power the next generation of AI applications.

Job Description About Us Chips are at the center of today's tech-driven world. But how we design them has not changed in decades, while their complexity and specialization have skyrocketed due to increasing performance demands from applications like AI. We want to change that. Our team is small, technical, and fast-moving. We’ve built and shipped at the intersection of AI, EDA, and systems software, with deep roots at companies like Qualcomm, Nvidia, Google, Meta, and the Allen Institute for AI. We’re backed by top investors including Khosla Ventures, Cerberus, and Clear Ventures, and already deployed with 10+ innovative customers—from Fortune 100s to cutting-edge AI silicon startups. About This Role This role offers a unique opportunity to be part of the founding team at ChipStack, where we are reinventing how modern silicon chips are designed. You will work alongside highly experienced chip designers who have built complex chips, ML scientists who have trained LLMs at scale, and top-notch infrastructure and software engineers. You will get to leverage your experience building ML and data infrastructure and apply it to some of the hardest problems in chip design. About You You want to be at a startup because you love to be at the center of all the dynamism that a startup offers. You are willing to put in the hours and go the extra mile to ensure every customer has an exceptional experience. You are self-motivated with a sense of urgency and can operate independently without much guidance. You are not afraid of difficult problems and enjoy venturing into areas you have not explored before. This Role We’re looking for a strong, experienced ML Infrastructure Engineer to join our founding team. We are seeking someone with experience designing and scaling ML infrastructure and training pipelines. You’ll be responsible for building the core infrastructure that enables training, fine-tuning, evaluation, and deployment of LLMs across cloud and on-premise environments. Your work will directly impact product capabilities and speed of iteration. What's needed * 5+ years of experience in ML infrastructure or adjacent roles * Deep expertise in Python and experience with training frameworks like PyTorch or TensorFlow * Strong systems engineering skills and experience with distributed training, data pipelines, and performance optimization * Experience deploying ML models to production (REST APIs, batch jobs, streaming pipelines) * Proficiency with cloud platforms (e.g., GCP, AWS) and containerized systems (Docker, Kubernetes) * Experience managing GPU/TPU workloads efficiently * Good communication skills and the ability to work directly with engineers and customers * Prior experience training or fine-tuning LLMs * Experience setting up observability, monitoring, and evaluation pipelines for ML models What's good to have * Exposure to chip design fundamentals (via coursework or elsewhere) * Experience at an early-stage startup Our Culture Challenge status quo: We are innovators who can challenge the status quo and push forward our vision of the world. Strong opinions, loosely held: We are low on ego, but high on collaboration. We are okay to be wrong and are always open to learning. Ship fast, ship quality: We ruthlessly prioritize what matters. We build a few things, but at lightning speed with high quality. Proud of our craft: Attention to detail is in our DNA. We take pride in what we build and ensure they exceed the high standards of the semiconductor industry.

Job DescriptionAbout the Company Our client is a publicly traded company at the forefront of the AI revolution, offering an AI-centric cloud platform that's reshaping the landscape of artificial intelligence. The company provides cutting-edge infrastructure, including large-scale GPU clusters, cloud platforms, tools, and services for developers to service the explosive growth of the global AI industry for Fortune 1000 companies, top-tier innovative startups, and AI researchers. * Company type: Publicly traded * Industry: AI/ML, Cloud Computing, Infrastructure-as-Code * Candidate Location: Remote U.S. Their mission is to democratize access to AI infrastructure and empower organizations to create, optimize, and deploy AI solutions at any scale. They aim to simplify the complexities of AI development by providing a full-stack AI platform that combines powerful hardware with user-friendly tools and services. The Opportunity We are seeking a Senior AI/ML Specialist Solutions Architect to join our client's team. This role offers the chance to design and implement scalable AI solutions for AI-focused customers, working with state-of-the-art technologies and contributing to one of the most powerful commercially available supercomputers. What You'll Do * Architect and optimize distributed training and inference systems for large-scale AI models * Design and deliver customer-focused solutions that maximize performance and business value * Lead the transition of ML pipelines from POC to scalable production systems * Build long-term customer relationships, ensuring satisfaction and alignment with strategic goals * Create whitepapers, deliver technical presentations, and host webinars to share insights and best practices * Provide technical leadership and mentor teams on AI infrastructure and deployment strategies * Collaborate with engineering and product teams to prioritize customer feedback and influence product roadmaps What You Bring * 5+ years of experience with cloud technologies and infrastructure, ideally in senior MLOps or Solutions Architect roles * Proven expertise in scaling and optimizing AI workloads across multi-node and multi-GPU environments * Demonstrated success delivering ML products, scaling from POC to production * Deep knowledge of ML frameworks like PyTorch and JAX * Strong background in the NVIDIA HPC ecosystem (CUDA, NCCL, Infiniband) * Exceptional communication skills to engage both technical teams and business stakeholders * Legal authorization to work in the United States on a full-time basis without sponsorship Preferred Technical Skills * Programming Languages: Python, Go, Java, C++ * Infrastructure as Code (IaC): Terraform, Ansible * Orchestration: Kubernetes (K8s), Slurm * DevOps Tools: Git, Docker, Helm * Big Data Frameworks: Spark, Kafka, Hadoop * Databases: SQL, NoSQL, and vector databases * ML Frameworks: PyTorch, TensorFlow, JAX, HuggingFace, Scikit-learn Why Join? * Competitive compensation: $180,000 - $300,000 per year (negotiable based on experience and location) * Full medical benefits: 100% company-paid medical, dental, and vision coverage for employees and families * 401(k) plan with a 4% match program * Stock options plan * Flexible remote work environment * Company-paid short-term, long-term disability, and life insurance coverage * 20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers * Up to $85/month for mobile and internet * Work with state-of-the-art AI and cloud technologies, including the latest NVIDIA GPUs * Be part of a team that operates one of the most powerful commercially available supercomputers * Contribute to sustainable AI infrastructure, with energy-efficient data centers that recover waste heat to warm nearby residential buildings Interviewing Process * Level 1 - Interview with Talent Acquisition * Level 2 - Interview with the Hiring Manager * Level 3 - Technical Assessment * Reference and Background Checks: conducted after successful interviews * Job Offer: provided to the selected candidate We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law. Compensation Range: $225K - $275K

Job DescriptionWho we are Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. Who you are We are seeking a Senior Computer Vision Test Engineer with a passion for quality, automation, and real-world impact. In this role, you will be responsible for designing, developing, and executing robust test strategies for cutting-edge perception systems. At Metropolis, we build complex, distributed computer vision systems that span a wide range of platforms, from cameras and embedded edge devices to large-scale cloud infrastructures. These systems power, critical, real-time decisions across parking and new verticals. As a Senior Test Engineer, you will play a pivotal role in verifying that each component in this ecosystem functions correctly in isolation and as part of an integrated system. You'll collaborate closely with engineers across software, hardware, and machine learning teams to define test coverage, develop test harnesses, and identify edge cases that impact performance in production. You will also help shape and improve our continuous integration pipelines and automated validation frameworks to support fast iteration and robust releases. What you'll do • Design and implement test plans, test cases, and test automation frameworks for computer vision and machine learning pipelines, • Validate the end-to-end performance of CV applications such as object detection, classification, and tracking under diverse scenarios and edge cases, • Analyze system-level behavior and KPIs (latency, accuracy, robustness) using metrics-driven methodologies, • Develop tools for test data generation, synthetic validation, and visualization of perception outputs, • Collaborate with software, ML, hardware, and QA teams to ensure end-to-end system validation and release readiness, • Investigate, root-cause, and document bugs and issues across the perception stack, • Drive continuous improvement in test coverage, test automation, and system reliabilityWhat we're looking for, • Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field, • 5+ years of hands-on experience in software or system testing, with at least 2 years focused on computer vision (CV), perception, or machine learning systems in production, • Proficiency in Python and C++ for test automation and strong experience with unit testing frameworks like GTest or PyTest, • Experience designing and implementing end-to-end test strategies for distributed systems, including using version control like Git and CI/CD pipelines like Jenkins or GitHub Actions, • Solid understanding of computer vision concepts such as detection, tracking, segmentation, and 2D/3D geometry, • Demonstrated experience testing perception or computer vision systems in real-world or hardware-in-the-loop (HIL) environments, • Familiarity with common ML frameworks like PyTorch and TensorFlow, and CV libraries like OpenCV, • Strong debugging, profiling, and log analysis skills, especially in embedded or real-world deployment environments, • Experience with containerization tools like Docker and simulation platforms such as CARLA or NVIDIA Drive Sim Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job DescriptionFormer Startup CTOs (Open-Ended) | naptha.ai About this role We are actively seeking multiple former startup CTOs and technical co-founders to join Naptha AI in roles tailored to each individual's unique strengths and experiences. This is a rare opportunity to shape the future of AI agent infrastructure at a massively ambitious scale, backed by industry veterans and technical leaders, NVIDIA Inception, Google for Startups, and Microsoft for Startups. We're building the foundational infrastructure for the next wave of AI companies, enabling frontier AI developers (many leaving labs like OpenAI, Anthropic, and DeepMind) to build products powered by enormous networks of highly capable next-generation AI agents. We're assembling a team of experienced technical leaders who have built and scaled systems before, and we'll shape specific roles around your unique expertise as you help us fundamentally change how AI systems work together. Potential Areas of Impact * Depending on your experience and interests, you might: * Architect systems that will power thousands of interoperating AI agents * Build and lead teams working on bleeding-edge AI infrastructure * Design novel approaches to agent orchestration and collaboration * Shape our technical strategy at the intersection of AI, distributed systems, and platform design * Create entirely new categories of technical challenges we haven't even discovered yet * Work directly with frontier AI developers to understand and solve their scaling challenges Why Join Us * Work on genuine frontier tech that could reshape how AI systems interact * Join a founding team that has deep expertise in AI infrastructure * Shape your own role while working alongside other experienced technical leaders * Get in early at a uniquely well-resourced pre-seed company * Build something meaningful without having to worry about fundraising * Collaborate with technical founders who understand the value you bring About the hiring process * Initial conversation about your experience and vision * Technical deep dive * Collaborative role definition * Team discussions * Project scoping workshop Compensation & Benefits * Highly competitive salary and significant equity stake * Role and compensation scaled to your experience * Remote-first work environment * Full medical, dental, and vision coverage * Flexible PTO policy * Learning and conference budget We're looking for technical leaders who have scaled startups before and are excited about tackling fundamental challenges in AI infrastructure. These roles offer the impact and ownership of early-stage work combined with the resources to execute at scale. If you've built and scaled technical teams before and are excited about shaping how the next generation of AI systems will work together, we want to talk - even if you're not sure exactly what role would be the perfect fit.

Job Description About ChipStack Chips are at the center of today's tech-driven world. But how we design them has not changed in decades, while their complexity and specialization have skyrocketed due to increasing performance demands from applications like AI. We want to change that. Our team is small, technical, and fast-moving. We’ve built and shipped at the intersection of AI, EDA, and systems software, with deep roots at companies like Qualcomm, Nvidia, Google, Meta, and the Allen Institute for AI. We’re backed by top investors including Khosla Ventures, Cerberus, and Clear Ventures, and already deployed with 10+ innovative customers—from Fortune 100s to cutting-edge AI silicon startups. Role Overview You’ll design, engineer, and research agentic systems—software that plans, executes, uses tools, and learns. You’ll bridge LLM agent research (prompting, tool use, memory architectures) with the engineering that puts these systems in production for chip design workflows. Key Responsibilities * Agent Research & Prototyping * Architect and iterate on agentic components: memory, context engineering, tool usage, multi-agent coordination * Experiment with prompting, finetuning, and orchestration to improve agent performance * Infrastructure Development * Build scalable infrastructure for prompt iteration/testing, benchmarking, logging, and evaluation * Assist with pipelines for fine-tuning, automated evaluation, and model deployment. * Collaboration & Integration * Work directly with chip designers and ML infra engineers to embed agentic workflows into chip design pipelines * Partner with product teams to solve core agent challenges (e.g., long-horizon planning, tool integration) * Research & Metrics * Define and evaluate performance metrics for agent systems * Design goal-oriented agentic workflows to enhance task completion You Should Have * 5+ years of combined ML research and / or software engineering experience * Hands-on with LLMs: prompting, finetuning, evaluation * Strong programming skills * Solid foundations in distributed systems, data pipelines * Cloud + on-premise infra experience involving GPUs. Familiarity with Docker * Excellent communication & a bias toward collaborative problem-solving * PhD or MS in ML, CS, or related field, or equivalent research + implementation experience * Ability to build, evaluate, and iterate LLM-based applications Nice-to-Have * Experience in fine-tuning LLMs specifically for agentic applications * Experience designing agentic systems or multi-agent workflows * Familiarity with reinforcement learning (RLHF/RL-agent contexts) * Background in integrated ML infra and agent evaluation pipelines * Interest or experience in the chip design/EDA domain What Makes This Role Unique * Play a key role at the intersection of agent research and real-world infra, delivering autonomous workflows for chip design * Influence both the research direction and the productionization of agentic systems * Join a tight-knit founding team, directly impacting high-stakes chip-design automation tasks Culture Challenge status quo: We are innovators who can challenge the status quo and push forward our vision of the world. Strong opinions, loosely held: We are low on ego, but high on collaboration. We are okay to be wrong and are always open to learning. Ship fast, ship quality: We ruthlessly prioritize what matters. We build a few things, but at lightning speed with high quality. Proud of our craft: Attention to detail is in our DNA. We take pride in what we build and ensure they exceed the high standards of the semiconductor industry.

Job DescriptionAbout vCluster Labs We are a venture-backed tech startup striving to be the leading force in enabling platform engineers. We raised +$30M from top-tier VCs such as Khosla Ventures (first investor in OpenAI, GitLab, Stripe, Doordash) and are in a hyper-growth phase looking for motivated people to complement our team. Our headquarters are in San Francisco (Salesforce Tower), but our team is distributed around the globe and we have a remote-first work culture. We're the company behind vCluster, an open-source technology for virtualizing Kubernetes (+10k GitHub stars). Open source is part of our DNA. The adoption of our commercial product based on vCluster has grown extremely fast (multi-million dollar revenue) and our customer base includes some of the biggest companies in the world, including 6 Global Fortune 500 companies as well as some of the fastest-growing tech unicorns. Responsibilities * Lead Strategic Partnerships: Identify, initiate, and manage partnerships with data center infrastructure vendors (GPUs, hardware, networking, storage), cloud providers, Kubernetes-focused startups, and major CNCF projects to drive product adoption and ecosystem growth. * Build Joint Value Propositions: Co-design technical integrations, reference architectures, solution bundles, or go-to-market campaigns that demonstrate vCluster's value in real-world use cases. * Own Relationship Development: From first outreach to signed OEM agreements, including long-term growth of the relationship and everything that contributes to mutual success—marketing, sales, engineering, and executive touchpoints. * Drive Awareness Through Collaboration: Collaborate with partners on blog posts, webinars, case studies, conference talks, and joint events to showcase what we’re doing together. * Work Cross-Functionally: Partner with Product to explore technical integrations, with Marketing to amplify joint efforts, and with Sales to unlock channel or co-selling opportunities. * Stay Close to the Ecosystem: You’ll be deeply plugged into what’s happening in the Kubernetes/CNCF/Infrastructure space, always looking for the next breakout tool, emerging trend, or commercial synergy. Requirements * Know the Kubernetes Ecosystem Cold: You’ve worked in or with cloud-native companies, understand the CNCF landscape, and can speak credibly about infrastructure, workloads, and enterprise platforms. * Understand Both Tech and Business: You can discuss NVIDIA GPUs, OpenStack integrations, or HyperShift vs vCluster one minute, and negotiate partner margins or BD strategy the next. * Have Rolled Up Your Sleeves Before: You’ve built or launched a successful partner program, negotiated strategic deals, or led integrations from scratch—not just managed them. * Are a Builder and Operator: You don’t wait for playbooks—you write them. You turn “we should partner with X” into “we’ve shipped a joint solution with X and presented it at KubeCon.” * Can Navigate Startups and Giants: You’re as comfortable working with early-stage founders as you are negotiating terms with major hardware giants. Bonus Points * Existing relationships with Kubernetes ecosystem leaders at companies like NVIDIA, Dell, AWS, Azure, as well as any major OSS startup companies in the CNCF space * Experience in channel/solution sales, tech alliances, or field/partner marketing * Background in infrastructure tools, platform engineering, and open source business models preferred Benefits We offer the following benefits: * Competitive Salary: We offer a competitive compensation package, including equity. * Platinum-Level Insurance: Health, dental, vision, and life Insurance, including plans for you and eligible dependents (benefits vary depending on country). * Flexible Working Schedule: You have a doctor’s appointment or need to head to the supermarket to get groceries at 2pm? We won’t have an issue with that. To us, results matter more than clocking in and out at the same time every day. * Workplace Flexibility: We’re very flexible about where you work. We know things can change in life and we’re happy to adjust the work environment for you along the way. Why join a startup like vCluster Labs? Since we are a fast-moving startup, you will not be number 14,589 in our company but rather become an essential part of our team right from the start: * Fast Application Process: We will typically get back to you within a week. No need to polish your resume for us. Just send us some links (e.g. LinkedIn, etc.), answer a few questions about your previous experiences, and hop on a quick Zoom call with one of our team members to see if you’re a good fit. We will respond quickly and make hiring decisions within days rather than months. * Open-Minded Work Environment: You can always speak your mind - no company politics or unnecessary formalities. We are operating in a lean, honest, and efficient way and we are looking for different perspectives, constructive feedback and creative, motivated people who want to make a difference. * Grow With The Company: We are a small company right now but we are growing incredibly fast because we work on something that has a lot of value to engineering teams in large enterprises. Joining vCluster Labs early will give you the chance to advance much faster to the next step on the career ladder than in any larger company. * Responsibility From Day 1: You will see right from the start that your work will immediately have an impact in our company and you can shape the future of this company together with the rest of our team. Grow with us and benefit from being part of this journey from the start. Culture & Values At vCluster Labs, we value and stand for: * Technical Excellence: We are determined to build best-in-class technology and ship high-quality software because we know that our users are engineers themselves. * Customer Obsession: We are going above and beyond to make our customers and users happy, which means striving for great usability, excellent documentation and support as well as fast response times for feature requests and bug reports. * Impressive Speed: From user feedback to shipping a new feature to address this feedback, we usually take less than a week in most cases and our users absolutely love us for this. * Bold Innovation: We are constantly questioning the state-of-the-art to find and address important issues in our space, even if that means abandoning any existing technologies and starting from scratch again. * Open Source & Open Mind: We are actively contributing and maintaining open-source projects and we believe that building an open-minded team culture that respects different perspectives and welcomes constructive feedback is equally paramount to our success. vCluster Labs provides equal opportunities for all candidates. We celebrate diversity and are committed to creating an inclusive work environment for everyone who becomes part of our team. We are also actively promoting measures to reduce bias throughout our hiring process to ensure that everyone gets the same opportunities. Compensation Range: $160K - $200K