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Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. About This Role: Crusoe Cloud is revolutionizing high-performance computing by offering sustainable, low-cost GPU compute power. As a Senior Cloud Support Engineer, you'll play a crucial role in empowering our customers to leverage this technology for groundbreaking advancements in fields like AI/ML, physics simulations, and computational biology. You will be the primary point of contact for technical support, ensuring our customers can seamlessly utilize Crusoe Cloud to achieve their goals. This role directly impacts Crusoe's mission by enabling our customers to accelerate their research and development, contributing to a more sustainable future. You will be involved in exciting projects, working with cutting-edge technologies and collaborating with a talented team to solve complex challenges. The ideal candidate is a highly motivated and experienced technical professional with a passion for customer success, a deep understanding of cloud technologies, and a commitment to Crusoe's values. This is a full-time position. What You’ll Be Working On: • Customer Support: Provide exceptional technical support to customers via Zendesk, meeting SLAs and maintaining high CSAT (95%+)., • On-Call Rotation: Participate in a 24/7 on-call rotation to ensure timely resolution of critical issues., • Troubleshooting: Diagnose and resolve issues related to VMs, hardware failures, and scaling tests using CLI and internal tools., • Alert Triage and Maintenance: Manage alert triage, prepare for maintenance windows, and conduct node delivery testing., • Collaboration: Work closely with SRE, Networking, and Storage teams from initial triage to root cause analysis (RCA) delivery., • Global Teamwork: Adhere to global team collaboration and handoff processes for ticketing and on-call procedures., • Knowledge Sharing: Develop onboarding/training materials, knowledge base documentation, and standard operating procedures (SOPs). What You’ll Bring to the Team: • Education/Experience: Bachelor's degree in IT, Computer Science, Engineering, or a related field, or 4+ years of equivalent technical experience., • Linux Proficiency: Strong command-line interface (CLI) skills in Linux environments., • Version Control: Proficiency with Git for code management and collaboration., • Customer Support Experience: 5+ years of experience in a customer support role, ideally within cloud, storage, or networking environments., • Cloud Technologies: Experience with container orchestration (e.g., Kubernetes), workload management (e.g., Slurm, Terraform), and monitoring tools (e.g., Grafana)., • Public Cloud Knowledge: Familiarity with other public cloud platforms (e.g., AWS, Azure, GCP)., • Communication Skills: Excellent communication and customer service skills, including the ability to prioritize competing escalations., • HPC Knowledge: Understanding of HPC technologies such as Infiniband, RDMA, RoCE, and Software Defined Networking (SDN). Bonus Points: • Certifications: CKA, CKAD, CKS, KCNA, AWS Machine Learning - Specialty, Data Analytics - Specialty, Solutions Architect - Professional, Developer - Associate, NVIDIA AI Infrastructure and Operations, Generative AI and LLMs, Generative AI Multi-modal, Infiniband, Linux Foundation IT Associate, System Administrator., • Cloud Expertise: Deep understanding of specific cloud platforms and services., • Automation Skills: Experience with automation tools and scripting languages., • Problem-Solving Abilities: Demonstrated ability to analyze complex technical issues and develop effective solutions., • Collaboration and Mentorship: Proven ability to mentor, train, and onboard colleagues., • Passion for Sustainability: A strong interest in contributing to a more sustainable future through technology. Benefits: • Industry competitive pay, • Restricted Stock Units in a fast growing, well-funded technology company, • Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents, • Employer contributions to HSA accounts, • Paid Parental Leave, • Paid life insurance, short-term and long-term disability, • Teladoc, • 401(k) with a 100% match up to 4% of salary, • Generous paid time off and holiday schedule, • Cell phone reimbursement, • Tuition reimbursement, • Subscription to the Calm app, • MetLife Legal, • Company paid commuter benefit; $300 per pay period Compensation: Compensation will be paid between $125,000 and $151,000 + Bonus. Restricted Stock Units are included in all offers. Salary will be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Financial Highlights – Enjoy an Immediate Pay Raise and Professional Growth! $10k Fast Start Bonus Per Month for 12 months, $120k First Year, requires one new commercial account with at least 250 employees, every two weeks. $2,500 First Week Training Pay for the first five training days. $500 per virtual appointment bonus with food with no bonus limit. Up to $1500 per week for meeting minimum call and one qualified onsite appointment. 200% of the profit margin for the first 90 days of orders shipped. 40% to 59% of the profit margin after 90 days Up to $10k new client account credits Up to $5k new account donation credits Up to $400 of gift cards for business building activities GHA Technologies, Inc. has become the #1 Employee-Owned Value-Added Reseller in America. Past rewards have included #1 Microsoft Western Region VAR, #1 fastest growing company in Arizona, #69 on the CRN Solution Provider 500, #15 2018 CRN Fast Growth 150 List. We sell the latest AI technologies from Nvidia, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, and Power Technologies! We also specialize in mission critical product procurement and integration services for some of the largest Corporate, Government, and Education clients in America! Our client base is a who's who of corporate America! GHA employee owners will receive stock shares every year on top of our industry’s leading commissions, bonuses, and promotional offerings! Mission critical, online, vast E Commerce distribution network coast-to-coast warehouse locations support just-in-time delivery. Super convenient, orders placed by 9:00 p.m. EST (8:00 p.m. CST) can be received the next morning for in-stock items. Secure, 24-hour access to your own personal portal customized with special pricing on more than 2 million top selling products from 3,500 manufacturers in the USA and across the globe. We are currently HIRING experienced Sales Professionals nationwide with a minimum of three years direct technology sales experience. We offer a highly lucrative earnings and benefits package with top salespeople earning between $96,000 to $2,000,000 annually. W-2 Employment, Medical, Dental, and HSA Benefits, 401K Retirement Plan, and GHA company stock ownership (ESOP) plan. Please email your resume to and schedule a strictly confidential interview. Visit us at:

Job Description The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data. At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise. Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems. Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we'd love to talk. HumanSignal is looking for a high-performing Sales Development Representative to help us reach the world's most innovative AI companies. You'll be opening doors with frontier labs, tech giants, and cutting-edge robotics companies who are building the future of AI—and who need the purpose-built training data that only we can provide. This isn't typical SDR work. You'll be prospecting into organizations like Anthropic, OpenAI, Google DeepMind, Meta, Tesla, Nvidia, and others at the absolute forefront of AI research and development. Your outreach will reach ML researchers, AI engineering leaders, and executives building breakthrough applications. The technical sophistication and strategic importance of these accounts make this one of the most exciting SDR roles in enterprise tech. You'll be the first point of contact for companies that will define the next decade of technology. Your ability to craft compelling messaging, understand technical concepts, and engage senior executives will directly impact HumanSignal's growth trajectory. You Will: • Generate qualified pipeline: Identify and create new business opportunities by prospecting into frontier AI labs, major tech companies, and innovative robotics firms, • Master personalized outreach: Write highly tailored cold email and LinkedIn messages that resonate with ML engineers, AI researchers, and technical executives, • Book strategic meetings: Conduct high-level qualification conversations with senior leaders and connect them with our Account Executive team, • Understand the landscape: Develop deep knowledge of AI companies, their data needs, and how our Data Creation Laboratories and Label Studio platform solve critical challenges, • Communicate value: Articulate why purpose-built, human-created datasets are essential for the next generation of AI applications, • Collaborate cross-functionally: Work closely with sales, marketing, and product teams to refine messaging and targeting strategies, • Bachelor's degree or equivalent work experience, • 1-2+ years of SDR, BDR, or sales experience in a fast-paced enterprise software, SaaS, or technical environment, • Demonstrated track record of top performance and consistently exceeding quota, • Exceptional written and verbal communication skills with ability to tailor messaging to technical audiences, • Research skills and intellectual curiosity to understand complex technical concepts quickly, • Ability to multitask, prioritize effectively, and thrive in a high-energy environment, • Experience prospecting into large, complex technical organizations, • Process-oriented mindset with strong organizational skills, • Genuine interest in AI, machine learning, and emerging technologies, • Familiarity with how AI models are trained and the role of training data, • Experience using sales tools like Salesforce, Outreach, LinkedIn Sales Navigator, and ZoomInfo, • Self-motivated and competitive spirit with excitement for sales metrics and friendly competition, • Collaborative team player who welcomes feedback and coaching You're not booking meetings for boring enterprise software—you're connecting with the people building AGI, autonomous robots, and AI systems that will reshape society. Every conversation you have is with someone at the cutting edge. You'll learn about AI from the inside, build relationships with industry leaders, and develop skills that will accelerate your career in the most important technology sector of our generation. About HumanSignal At HumanSignal, we're building the infrastructure for the next generation of AI. Our Label Studio platform powers data operations for leading organizations worldwide, while our Data Creation Laboratories manufacture the purpose-built datasets that breakthrough AI applications require. We believe the next frontiers in AI won't be unlocked by scraping what's left on the web—they'll be built on human-created data that captures the complexity of how systems need to see, hear, reason, and react. Through controlled environments and operational excellence, we're enabling researchers and enterprises to innovate without being constrained by data availability. We work with frontier AI labs, Fortune 500 enterprises, and government agencies who are pushing the boundaries of what's possible with AI. Join us in building the data that will build the future. We are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity, or Veteran status. At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $60,000 to $110,000 USD plus commission. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world's toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. Internships at Planet: Planet's Summer 2026 internships are full-time, paid 12-week positions located in our San Francisco HQ Office. Program Dates: * June 1 - August 21 * June 22 - September 11 About the Role: Planet's mission is to image the entire world every day, making global change visible, accessible, and actionable. We've successfully captured daily imagery of the Earth, and now we're taking the next bold step: making our spacecraft smarter and more efficient using AI and machine learning. We are seeking a talented AI/ML Intern with an emphasis on geospatial analytics and remote sensing to join our Edge Compute team. This is a high-impact role for an ambitious undergraduate or graduate student to work at the intersection of orbital mechanics, computer vision, and hardware-constrained systems. You will help build the algorithms of our next-generation satellites, moving beyond simple image capture to autonomous vision systems that can detect events and react to dynamic Earth conditions in real-time. The ideal candidate is passionate about AI/ML, autonomy, and squeezing performance out of neural networks to run them in the harsh, resource-constrained environment of space. This is a full-time, hybrid role which will require you to be in our San Francisco, HQ 3 days per week. Impact You'll Own: • Design and train computer vision models (object detection, segmentation, change detection) specifically optimized for satellite imagery and edge deployment., • Experiment with model compression techniques-including quantization, pruning, and knowledge distillation-to ensure high-performance inference on low-power hardware., • Explore algorithms that allow satellites to autonomously identify high-value targets (e.g., ships, wildfires, or cloud-free regions) to optimize tasking and downlink., • Profile and validate model performance (latency, power consumption, memory footprint) on edge hardware targets like NVIDIA Jetson or similar accelerators., • Assist in the curation and augmentation of "space-ready" datasets, accounting for unique orbital challenges like varying off-nadir angles and atmospheric noise., • Build end-to-end prototypes that demonstrate autonomous "closed-loop" systems where ML outputs directly influence satellite actions., • Partner with flight software engineers to transition research prototypes into robust, production-ready code for orbital environments., • Currently pursuing or recently completed a degree in Computer Science, Robotics, Computer Engineering, Aerospace Engineering, Electrical Engineering, or a related field., • A solid understanding of deep learning fundamentals, particularly in Computer Vision (CNNs or Vision Transformers)., • Proficiency in Python and hands-on experience with at least one major ML framework (e.g., PyTorch, JAX)., • The ability to break down complex problems and a strong desire to learn how to deploy models on resource-constrained hardware., • Excellent communication skills with the ability to document technical workflows and explain model trade-offs (e.g., accuracy vs. speed vs power)., • Hands-on experience with NVIDIA Jetson devices. April 4, 2026 at 11:59p PT EAR/ITAR Requirements: This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate's ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls. Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. • Commuter Benefits, • Paid time off for holidays and company-wide days off, • Internet reimbursement The US hourly rate range for this position at the commencement of employment is $35 - $60. The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. San Francisco Salary Range$40—$60 USD San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We're dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That's why Planet is guided by an ultimate north star of Belonging-dreaming big as we approach our ongoing work. If this job intrigues you, but you're thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don't just fill positions, we aspire to fulfill people's careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you're excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. ___ Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the ___, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the ___, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We are currently exploring AI interviewing technologies to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a Planet AI Notetaker for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools-e.g. Large Language Models (LLMs), deep fake technology, etc.-is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.

Financial Highlights – Enjoy an Immediate Pay Raise and Professional Growth! $10k Fast Start Bonus Per Month for 12 months, $120k First Year, requires one new commercial account with at least 250 employees, every two weeks. $2,500 First Week Training Pay for the first five training days. $500 per virtual appointment bonus with food with no bonus limit. Up to $1500 per week for meeting minimum call and one qualified onsite appointment. 200% of the profit margin for the first 90 days of orders shipped. 40% to 59% of the profit margin after 90 days Up to $10k new client account credits Up to $5k new account donation credits Up to $400 of gift cards for business building activities GHA Technologies, Inc. has become the #1 Employee-Owned Value-Added Reseller in America. Past rewards have included #1 Microsoft Western Region VAR, #1 fastest growing company in Arizona, #69 on the CRN Solution Provider 500, #15 2018 CRN Fast Growth 150 List. We sell the latest AI technologies from Nvidia, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, and Power Technologies! We also specialize in mission critical product procurement and integration services for some of the largest Corporate, Government, and Education clients in America! Our client base is a who's who of corporate America! GHA employee owners will receive stock shares every year on top of our industry’s leading commissions, bonuses, and promotional offerings! Mission critical, online, vast E Commerce distribution network coast-to-coast warehouse locations support just-in-time delivery. Super convenient, orders placed by 9:00 p.m. EST (8:00 p.m. CST) can be received the next morning for in-stock items. Secure, 24-hour access to your own personal portal customized with special pricing on more than 2 million top selling products from 3,500 manufacturers in the USA and across the globe. We are currently HIRING experienced Sales Professionals nationwide with a minimum of three years direct technology sales experience. We offer a highly lucrative earnings and benefits package with top salespeople earning between $96,000 to $2,000,000 annually. W-2 Employment, Medical, Dental, and HSA Benefits, 401K Retirement Plan, and GHA company stock ownership (ESOP) plan. Please email your resume to and schedule a strictly confidential interview. Visit us at:

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: This role is an entry level position focused on the deployment, management, advanced diagnosis, maintenance, and repair of high-performance GPU systems. We are seeking a highly motivated individual to join our team as an entry level GPU Fleet Operations specialist. This role will support Crusoe’s Fleet Operations team for our research and integration lab. The ideal candidate will have a basic knowledge of system troubleshooting. The individual will work closely with data center operations, engineering, and vendors to support cutting-edge infrastructure featuring the latest NVIDIA and AMD GPUs. In this role you will play a part in supporting Crusoe’s new product integration, research and experimentation efforts. What You’ll Be Doing: * Managing a lab environment consisting of the latest GPU systems. * Working closely with OEM for racks, CDUs, and data center infrastructure components. * Perform diagnosis and troubleshooting of hardware faults within GPU racks and high-density compute systems. * Support GPU platforms including NVIDIA A100, H200, GB200, B200, B300 and AMD 350X / 355X. * Execute component-level diagnosis and remediation for failed or degraded hardware. * Partner with data center operations to manage and perform field-replaceable unit (FRU) repairs for GPUs, power supplies, cooling systems, interconnects, and networking hardware. * Conduct post-repair validation, burn-in testing, torch testing, and NVIDIA NCCL testing to ensure system stability and performance. * Perform firmware and BIOS upgrades. * Maintain detailed documentation of maintenance activities, failures, and resolutions in ticketing and asset management systems. * For lab operations, develop and update standard operating procedures (SOPs) for troubleshooting, repair, and validation workflows. * Collaborate with engineering, software, and data center operations teams to identify root causes of systemic failures and document remediations. * Participate in a rotating infrastructure on-call schedule (about one week every 4–6 weeks) with daytime coverage and handoff to the Europe team. What You’ll Bring to the Team: * A can do attitude and desire to learn. * A desire to learn how to diagnose and repair high-density, rack-mounted compute hardware in production environments. * Ability to develop an understanding of GPU architectures and hands-on experience with GPU-based systems. * Some familiarity with the basics of networking and high-speed interconnects such as InfiniBand, NVLink, and RDMA over Converged Ethernet (RoCE). * Basic knowledge of Ubuntu, Rocky Linux, CentOS. * Strong analytical and problem-solving skills. * Excellent communication and collaboration skills. * Ability to work independently in a fast-paced lab or operations environment. Nice to Have: * Technical certification or Associate’s/Bachelor’s degree in Electrical Engineering, Computer Science, or a related field or demonstrated experience. Benefits: * Industry competitive pay * Restricted Stock Units in a fast growing, well-funded technology company * Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents * Employer contributions to HSA accounts * Paid Parental Leave * Paid life insurance, short-term and long-term disability * Teladoc * 401(k) with a 100% match up to 4% of salary * Generous paid time off and holiday schedule * Cell phone reimbursement * Tuition reimbursement * Subscription to the Calm app * MetLife Legal * Company paid commuter benefit; $300 per pay period Compensation Range: Compensation will be paid in the range of $112,000 - $132,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe Energy is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Position title: Project Scientist Salary range: The UC academic salary scales set the minimum pay determined by rank and step at appointment. See the following table for the current salary scale for this position: . A reasonable estimate for this position is $181,700 - $229,700. Percent time: 100% Anticipated start: Winter/Spring 2026 Position duration: Initial appointment is for one year with the possibility of renewal based on performance and funding availability. Open date: February 25, 2026 Most recent review date: Monday, Mar 23, 2026 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date: Wednesday, Apr 15, 2026 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for two Project Scientists at the Assistant, Associate, or full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The project scientist will make significant and creative contributions in the area of machine learning & data analytics. The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more. The Assistant/Associate/Full Project Scientists will be an integral part of a visionary scientific team driving cutting-edge biological discoveries through immediate applications of critical advances in imaging technologies. These positions will work with a dedicated team to develop data analytics software in terabyte- to petabyte-scale imaging projects. The incumbents will develop and refine machine learning applications and manage projects and provide regular progress reports to PIs and collaborators. Successful candidates will be an integral part of the expert team working together with computational scientists and biologists in experimental design to tackle complex biological questions in a quantitative manner. The work will primarily be conducted at the facility in Barker Hall. Occasional travel may be required. Key Responsibilities *Make significant and creative contributions to development of new imaging and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos. *Design, build, and maintain new software packages for efficient data processing. *Advise on applications of these tools for biological imaging; collaborate with Postdocs and graduate students on specific projects to test, learn and implement for general and specific use cases. *General organization and management of software documentation. *Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods. *Work with petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry). Identify and implement scalable solutions to scientific questions on large-scale data sets, especially using performant algorithms. *Develop machine learning approaches, computer vision tools to help pre-process dataset and annotations to generate groundtruth benchmarks. *Contribute to dissemination via open source code repositories, demonstrations, publications, presentation. These positions will be eligible for full benefits. Lab: Contract: Basic qualifications (required at time of application) *PhD (or equivalent international degree) Additional qualifications (required at time of start) *Minimum of four years of postdoctoral research experience *For consideration for the Associate Project Scientist rank: a minimum of 8 years of post PhD research experience *For consideration for the full Project Scientist rank: a minimum of 14 years of post PhD research experience Preferred qualifications *PhD or equivalent international degree in Computation Data, Computer Sciences, Bioinformatics or Related field *Demonstrated record of productivity and publications and/or scholarly contributions *Strong biological background and understanding of molecular biology *Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras *Demonstrated ability to work in a research team, manage active collaborations with other academic groups *Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond) *Expertise in programming in C++, Labview, MATLAB, Python *Expertise in databases, data infrastructure, data governance *Expertise in high performance computing using SLURM or LSF *Experience with PyTorch, JAX, or Tensorflow *Experience with NVIDIA CUDA and related OpenMP programming *Experience with cloud services (AWS, GCP, Azure, etc) *Experience with state of the art AI/ML architectures (vison transformers, diffusion models, etc *Experience mentoring undergraduate/graduate students, and/or technicians. *Experience with professional speaking engagements *Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers *The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks Document requirements * Curriculum Vitae - Your most recently updated C.V. * Cover Letter * Statement of Research - Provide a summary of your major research accomplishments in approximately 250 words. Additionally, please include a brief statement highlighting your experience that is directly relevant to the key responsibilities of this position * Project Portfolio - Summary portfolio of data and/or AI projects executed, as demonstrated by publications or github contributions Reference requirements UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive. The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy. In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter. As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements. Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee. As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct. • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer., • UC Sexual Violence and Sexual Harassment Policy, • UC Anti-Discrimination Policy, • APM - 035: Affirmative Action and Nondiscrimination in Employment Berkeley, CA

Job DescriptionAbout SuperAnnotate SuperAnnotate helps the world’s leading AI teams build responsible, next-generation models powered by high-quality human data. We’re a fast-growing Series B startup bridging the gap between advanced AI innovation and the data that drives it. Our global network of expert specialists, scalable managed operations, precise talent matching, and full project transparency ensure unmatched data quality at scale. Trusted by innovators like Databricks and ServiceNow - and backed by NVIDIA, Dell Technologies Capital, Databricks Ventures, Cox Enterprises, and Lionel Messi’s Play Time VC - SuperAnnotate is proud to be the top-ranked AI data company on G2 for multiple consecutive years, including 2025. The Impact You’ll Make As a Strategic Operations Manager of Marketplace Growth, you will own the performance of our contractor activation funnel, from initial qualification through onboarding and first project assignment. Your job is to ensure qualified experts move through this process quickly, smoothly, and at high conversion rates. You will identify where candidates drop off, where internal handoffs slow down, and where manual processes create delays. Then, you’ll fix them. That means building clear metrics, introducing automation, standardizing workflows, and partnering cross-functionally to remove bottlenecks. Your goal is simple: increase activation rates, reduce time-to-deployment, and make our marketplace scale reliably - even during demand spikes, without adding operational overhead. This is a hybrid opportunity based in our San Francisco office.What You’ll Do • Own the performance of the contractor activation funnel from qualification through onboarding and first project deployment., • Identify and fix drop-off points: Diagnose where qualified experts stall or experience delays, then implement solutions that increase activation rates., • Design standardization and automation that eliminates manual workflows and bottlenecks., • Track and improve key metrics: stage-to-stage conversion, time-to-activation, and throughput., • Partner cross-functionally with Marketplace, Service Operations, Product, and leadership to qualify and activate large-scale contractor workforces across 50+ domain categories., • Build and manage strategic sourcing partnerships, holding partners accountable to quality and conversion benchmarks., • Develop and test new ideas to accelerate contractor activation.What You’ll Bring, • 3-6 years of experience in program management, business operations, or a strategy-to-execution role., • You’ve proven yourself in a rigorous, high-performance setting, whether academic, professional, or entrepreneurial, and have a track record of pushing through complexity to deliver results., • Experience or strong interest in marketplace dynamics, talent acquisition, or high-volume workforce operations., • Ability to translate complex requirements into clear, data-driven plans and measurable outcomes., • Strong interest in AI Nice To Have, • Experience in strategy consulting or BizOps at a high-growth startup.

Are you looking for an exciting new opportunity? Join a stealth-mode hyperscale data center startup building a next-generation AI and cloud platform designed for startups and advanced research, powered by thousands of H100, H200, and B200 GPUs available on demand. Their platform supports everything from rapid experimentation to full-scale model training and inference, with flexible orchestration via Slurm, Kubernetes, or direct SSH access. This is a rare opportunity to work at the intersection of hyperscale infrastructure and AI, shaping the operational backbone of one of the largest GPU clusters in private deployment. If you want to build and operate infrastructure for frontier AI workloads, automate systems at petascale, and be part of a founding engineering team, this is the place to do it. Responsibilities Design, deploy, and maintain large-scale GPU clusters (H100/H200/B200) for training and inference workloads. Build automation pipelines for provisioning, scaling, and monitoring compute resources across Slurm and Kubernetes environments. Develop observability, alerting, and auto-healing systems for high-availability GPU workloads. Collaborate with ML, networking, and platform teams to optimise resource scheduling, GPU utilization, and data flow. Implement infrastructure-as-code, CI/CD pipelines, and reliability standards across thousands of nodes. Diagnose performance bottlenecks and drive continuous improvements in reliability, latency, and throughput. Skills / Must Have 7+ years of experience in SRE, DevOps, or Infrastructure Engineering roles supporting large-scale compute environments. Strong hands‑on experience with Kubernetes and Slurm for cluster orchestration and workload management. Deep knowledge of Linux systems, networking, and GPU infrastructure (NVIDIA H100/H200/B200 preferred). Proficiency in Python, Go, or Bash for automation, tooling, and performance tuning. Experience with observability stacks (Prometheus, Grafana, Loki) and incident response frameworks. Familiarity with high‑performance computing (HPC) or AI/ML training infrastructure at scale. Background in reliability engineering, distributed systems, or hardware acceleration environments is a strong plus. Benefits Equity Salary $300,000 gross per year #J-18808-Ljbffr

Technical Product Manager, AI Data Platforms who will own DDN's AIDP solution strategy end-to-end: shaping the product roadmap, defining differentiated solutions built on Enterprise AI HyperPOD, and driving go-to-market execution in partnership with NVIDIA, the broader NVIDIA ecosystem, and a growin

Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field. We are seeking a skilled Application Engineer to join our team, focusing on deploying and optimizing computer vision systems on NVIDIA Jetson platforms. Application Engineer – Computer Visi

A technology-driven company in San Francisco seeks an Application Engineer to deploy and optimize computer vision systems on NVIDIA Jetson platforms.

Job Description Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI—secure, compliant, and infrastructure-flexible deployments—H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. For more information, visit . About This Opportunity We are looking for a Senior Sales Engineer - AI to join our team. In this role, you’ll combine deep technical expertise in Machine Learning and Generative AI with strong pre-sales solutioning skills to help enterprise customers design, adopt, and scale AI using the H2O.ai platform. You’ll work hand-in-hand with Sales, Product, and Customers - leading technical discovery, designing architectures, running demos and pilots, and guiding customers through their end-to-end AI journey. This position is based in San Francisco, California. What You Will Do • Partner with Sales to drive pre-sales success: lead discovery sessions, identify customer needs, design technical solutions, and build winning proposals., • Execute high-impact proof of value that moves beyond technical feasibility to demonstrate ROI, such as cost per token or measurable accuracy gains in production using H2O AI Enterprise Platform: Predictive, Generative, and Agentic AI, • Build and present custom AI/ML/GenAI solutions tailored to industry verticals (banking, finance, insurance, healthcare, manufacturing, retail, public sector)., • Showcase hands-on expertise with LLMs: fine-tuning, evaluations, RAG, and Agentic pipelines., • Design and build sophisticated Agentic Workflows, beyond simple RAG to multi-agent systems that can reason, use tools, and execute complex business logic autonomously., • Design reference architectures and deployment strategies for enterprise customers across cloud (AWS, Azure, GCP), hybrid, and on-prem., • Architect integrated solutions that leverage the full H2O stack: using Driverless AI for predictive features, h2oGPTE for unstructured data synthesis, • Guide customers on MLOps, Kubernetes deployments, CI/CD integration, monitoring, and governance to ensure their applications are production-ready., • Work closely with Product Management to influence the product roadmap based on customer and field insights., • Contribute to thought leadership by creating solution blueprints, best practices, and reusable assets; represent H2O.ai at events, roundtables, webinars, and conferences.What We Are Looking For, • 5+ years in pre-sales, sales engineering, or solution architecture roles for enterprise AI/ML platforms., • Hands-on expertise in Generative AI and ML: LLM fine-tuning, evaluation, pipelines, predictive ML algorithms., • Proven experience with cloud-native deployments (AWS, Azure, GCP), Kubernetes, and enterprise integration., • Master the art of technical storytelling, the ability to whiteboard a complex Kubernetes deployment for an IT Director, then pivot to explaining the risk-mitigation benefits of 'Guardrails' to a Chief Risk Officer., • Excellent presentation and communication skills: confident in front of C-level executives and technical teams., • Experience with H2O.ai products or similar enterprise AI/ML platforms is a plus., • Willingness to travel up to 50% to support strategic accounts.How to Stand Out, • Experience running POCs, pilots, and executive workshops that accelerate AI adoption., • Familiarity with enterprise security, compliance, and governance in AI deployments., • Demonstrated thought leadership (talks, blogs, open-source contributions)., • Market Leader in Total Rewards, • Remote-Friendly Culture, • Flexible working environment, • Be part of a world-class team H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit to learn more. #LI-Hybrid Powered by JazzHR zsgGtSgNoQ

Job DescriptionAbout Collate Collate is an AI document generation platform for life sciences. We automate paperwork with AI, helping our customers get life-saving innovations to patients years faster. Collate is an end-to-end solution, powering every step of drug, diagnostic, and medical device development—from concept to market. Our CEO Surbhi Sarna is a former General Partner at Y Combinator. Surbhi founded nVision Medical, which developed a new method to detect ovarian cancer and was acquired by Boston Scientific. Our CTO Nate Smith is a former Visiting Partner at Y Combinator and founder of Lever. Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We’re a small, elite team, with over $30M in seed funding from top investors (Redpoint, First Round Capital, Conviction, and Y Combinator) and leaders in healthcare and AI. This is a rare chance to join at the ground floor of a company with world-changing potential, experienced founders, and resources to execute at scale. About the Role We’re looking for a DevOps / Systems Engineer to own the infrastructure that powers Collate’s products. You’ll build the systems and tooling that keep our platform reliable, secure, and fast as we scale. This role is broad by design — from managing CI/CD pipelines and cloud infrastructure to handling light security responsibilities like certificate management. You’ll partner closely with backend, AI, and product engineers to ensure our systems are both easy to develop on and safe to deploy at scale. At Collate, infrastructure isn’t just about uptime — it’s about trust. The work you do will help ensure that the AI we build for healthcare runs with reliability and security in mind.What You’ll Do • Design and maintain cloud infrastructure to support Collate’s products as we grow from prototypes to production scale., • Develop CI/CD pipelines and automation that accelerate developer velocity and reduce operational friction., • Manage core system reliability, including monitoring, logging, and incident response., • Take on light security responsibilities, such as handling certificates, secrets management, and supporting compliance needs., • Collaborate closely with engineering teams to design infrastructure that balances speed, safety, and scale., • Continuously improve internal tooling and workflows, helping the team move faster with confidence., • Leverage tooling including AWS, Terraform, Kubernetes, Helm, ArgoCD, Grafana, and Github Actions.What We’re Looking For, • Hands-on experience with cloud infrastructure (AWS, GCP, or similar) and modern DevOps practices., • Proficiency with infrastructure-as-code and CI/CD tooling., • Familiarity with monitoring, observability, and incident management., • Interest or experience in light security work, including certificates, secrets management, or compliance support., • A pragmatic approach: able to balance iteration speed with building for long-term reliability.

Job DescriptionAbout Collate Collate is an AI document generation platform for life sciences. We automate paperwork with AI, helping our customers get life-saving innovations to patients years faster. Collate is an end-to-end solution, powering every step of drug, diagnostic, and medical device development—from concept to market. Our CEO Surbhi Sarna is a former General Partner at Y Combinator. Surbhi founded nVision Medical, which developed a new method to detect ovarian cancer and was acquired by Boston Scientific. Our CTO Nate Smith is a former Visiting Partner at Y Combinator and founder of Lever. Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We’re a small, elite team, with over $30M in seed funding from top investors (Redpoint, First Round Capital, Conviction, and Y Combinator) and leaders in healthcare and AI. This is a rare chance to join at the ground floor of a company with world-changing potential, experienced founders, and resources to execute at scale. About the Role We’re looking for an AI Research Scientist to push the boundaries of how advanced AI can be applied in healthcare. You’ll explore new modeling approaches, design novel architectures, and prototype capabilities that don’t exist yet — always with an eye toward how they can be translated into safe, reliable, and impactful products. This is not a pure research role. At Collate, research is directly tied to deployment. You’ll work side by side with engineers, product, and Life science experts to ensure that breakthroughs in the lab become real solutions in the world.What You’ll Do • What You’ll DoExplore new LLM prompt optimization, robustness of LLM applications and modeling approaches in machine learning, NLP, and reasoning., • Prototype and validate AI capabilities that expand Collate’s product roadmap., • Collaborate with engineering, product, and design to bring research into production., • Develop evaluation frameworks to measure safety, reliability, and fairness., • Share findings with the broader AI community through publications and open collaboration., • Help shape the long-term research agenda at Collate.What We’re Looking For, • Strong background in machine learning, NLP, or related fields, with publications or equivalent experience., • Ability to balance theoretical complexity and simplicity of maintaining and improving real world AI applications in life science., • Experience troubleshooting NLP performance gaps and improving applications using online and offline evaluation., • Experience in translation is an added bonus, • Hands-on experience building and experimenting with deep learning models (e.g., PyTorch, JAX, TensorFlow)., • Ability to bridge theory and practice — from new research ideas to real-world deployments., • Curiosity-driven, with a track record of pushing beyond the obvious to uncover new possibilities., • Motivation to apply AI research in Life sciences , where rigor, safety, and impact matter deeply.

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: In order to analyze billions of fruit on farms all year long, our advanced, tractor-mounted camera systems have to know a.) precisely where they are, and b.) everything about the fruit they are seeing. We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems, relating to training edge ML models on massive amounts of real-world farm image data collected by our camera systems. About the role: * As an early engineer, you'll receive generous equity compensation * Full-time role at our San Francisco, CA office * Flexible working hours * Comprehensive Health, Vision, and Dental coverage, and we cover 100% of the premium * We move fast, and sometimes this means staying late or working weekends * 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: * Build and maintain scalable ETL pipelines for processing large, diverse image datasets collected from our tractor-mounted camera systems in farms. * Stay up-to-date with current literature in computer vision models and architectures, and apply relevant advancements to our systems. * Develop, deploy, and monitor infrastructure for model training, evaluation, and inference, both in the cloud and on edge devices. * Design and implement intelligent active sampling infrastructure to optimize data collection and improve model performance. * Collaborate with a multidisciplinary team to integrate ML solutions into production robotics systems. * Work closely with agronomists and farmers to understand crop biology and translate domain knowledge into actionable ML features. * Be a generalist, supporting different parts of our software stack as needed. What makes you a good fit: * 3-5+ years of experience building production-grade data pipelines and ML infrastructure. * Proficiency in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch). * Strong experience with data engineering tools (e.g., Pandas, SQL, Apache Airflow, Spark). * Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). * Experience working with massive amounts of real-world training data. * Familiarity with MLops software and data engineering to ensure consistent deployment of ML models. * Ability to work independently, learn quickly, and operate in a dynamic environment * Enthusiasm for taking on multiple roles and responsibilities as our company grows. Bonus Points: * Experience deploying & optimizing ML models to run fast on embedded compute like NVIDIA Jetson * Experience prototyping, evaluating, or deploying new ML/CV models on the edge. If you're looking to help make a positive impact in the world by building the future of farming, come join us! Compensation Range: $150K - $265K

Job Description ABOUT HUT 8 Imagine the ultimate destination for those who want to work at the cutting edge of technology, energy, and infrastructure. Hut 8 is on a mission to build and operate some of the world's largest data centers for next-generation computing workloads, including AI, Colocation, Cloud, and Bitcoin Mining. We are proud to offer interesting and challenging opportunities for individuals who want to build teams, solve problems, and make an impact from day one. If you're an ambitious individual looking for a career that is as rewarding as it is challenging, you've come to the right place. ABOUT HIGHRISE.AI At Highrise.ai, we recognize that the shift from traditional software to AI represents one of the most significant technological transformations of our era. Our mission is to accelerate this shift across industries by providing the cutting-edge infrastructure needed to build, scale, and deploy AI at an unprecedented level. Our products empower the development and operation of the world's most advanced large language models (LLMs), generative models, and computer vision models. By offering highly optimized GPU infrastructure, we enable organizations to unlock the full potential of AI, pushing the boundaries of what's possible in fields such as natural language processing, image recognition, and beyond. We are committed to driving innovation and efficiency in AI infrastructure, making it easier for companies to transition from concept to production at scale, with the reliability and performance necessary to stay ahead in a rapidly evolving technological landscape. ABOUT THE ROLE Hut 8 is scaling our GPU platform that integrates power, colocation, and compute into a single, operationally owned stack. Customers don't ask whether we have power or GPUs — they ask who actually runs the operation. This role exists to be that answer. Hut 8 leadership owns strategy, capital, and customer relationships. You own execution. You are accountable for taking raw, power-backed infrastructure and turning it into production-ready, SLA-backed GPU capacity — at scale. This is not a lab role or a traditional enterprise ops role. It is enterprise-grade operational discipline applied to hyperscale infrastructure, built on direct control of power, facilities, and compute. Some of the key responsibilities you should expect are the following: • You will run the full operational layer between Hut 8's facilities and the customer:, • Deployment, commissioning, and production sign-off, • Performance, uptime, and SLA ownership, • Incident response, escalation, and root cause resolution, • OEM, vendor, and hardware lifecycle management, • Scaling operations from ~1,100 GPUs to 20,000+ GPUs, • You are accountable for end-to-end managed GPU operations, including:, • RDMA networking (InfiniBand and/or RoCE), • Multi-tenant and single-tenant production environments, • 99.9%+ availability targets, • Repeatable, auditable commissioning processes, • Enterprise readiness layered onto hyperscale infrastructure, • You coordinate tightly with Hut 8 teams on:, • Power, cooling, rack density, and facility readiness, • Deployment sequencing and capacity expansion, • Operating constraints driven by energy, thermal, and site realities, • You build and lead the operational organization:, • Field operations, deployment, and infra ops teams, • Hiring, structure, and escalation paths as scale ramps, • Clear ownership across sites and customers, • You run a disciplined, hands-on operating rhythm:, • Daily standups on deployment progress, risks, and blockers, • Direct oversight of GPU failures, RDMA performance, and thermal issues, • Production sign-off for each deployment tranche, • Weekly capacity and readiness planning with facilities, • Monthly OEM and vendor performance reviews, • You are a senior infrastructure operator who has scaled real systems, not just designed them., • 10+ years in large-scale infrastructure or hyperscale data center operations, • 5+ years operating GPU-accelerated and/or HPC environments, • Direct experience deploying and operating 10,000+ GPUs in managed, production settings, • Deep expertise in RDMA networking (InfiniBand and/or RoCE), • Proven ownership of 99.9%+ uptime and customer-facing SLAs, • Hands-on operator mindset — you drive issues from detection → root cause → resolution, • Track record of building repeatable deployment and commissioning playbooks, • Experience leading teams of 20–50+ across field ops, deployment, and infrastructure, • Senior leadership background (Director / Senior Director / VP) at a recognized operator, • Preferred/Bonus:, • Direct working relationships with NVIDIA and/or AMD, • Experience with H100, H200, GB200, and/or MI300X platforms, • Multi-site, parallel deployment experience This role is remote or in office in San Francisco. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. WHAT MAKES HUT 8 A GREAT PLACE TO WORK Hut 8 offers a benefits and wellness program that includes medical, dental, vision, life, and short-term and long-term disability insurance, as well as paid time off. We are proud to invest in building the best team in the industry. At all levels of the organization, we are driven by an entrepreneurial spirit, radical transparency, and relentless growth mentality. At Hut 8, you will have the opportunity to: ▶ Work with bright, driven peers from a range of educational and professional backgrounds including software development, energy, engineering, entrepreneurship, investment banking, private equity, and management consulting ▶ Design and pitch new products, services, and other initiatives to a leadership team consisting of serial entrepreneurs and seasoned executives and backed by a board of directors consisting of industry veterans of energy, finance, and government ▶ Debate ideas and alternatives in a truly meritocratic setting where the learning curve is steep and the lessons come from both senior and junior members of the team ▶ Build a lifelong network of friends and professional connections at the cutting-edge intersection of technology, energy, and infrastructure

Job Description Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. About this Role Crusoe Cloud is seeking a visionary and technical leader to spearhead Network Development across our global infrastructure. While our Operations team ensures the reliability of our current fleet, the Network Development team is responsible for the design, engineering, and evolution of the high-performance fabrics that make Crusoe a leader in AI and HPC. The ideal candidate is a "builder" at heart. You will lead the team responsible for translating complex architectural requirements into scalable, automated, and high-performance network designs. From optimizing GPU-to-GPU communication in our HPC clusters to developing the automation frameworks that deploy our global backbone, you will be at the forefront of networking for the AI era. What You’ll Do * Lead Network Engineering & Design: Own the end-to-end development lifecycle of Crusoe’s network architecture, focusing on the next generation of GPU fabrics and global interconnects. * Innovate HPC & AI Fabrics: Drive the engineering of low-latency, high-bandwidth networks (RoCEv2, InfiniBand) specifically optimized for massive-scale distributed AI training. * Define the Automation Roadmap: Architect and implement "Network-as-Code" initiatives. Lead the development of CI/CD pipelines for network configurations, automated provisioning, and self-healing infrastructure. * Hardware Strategy & Vendor Engineering: Evaluate and certify next-generation hardware platforms. Partner with vendors (Arista, NVIDIA, Juniper) to influence product roadmaps and ensure Crusoe has the best-in-class silicon for our workloads. * Build and Mentor a Development Culture: Recruit and lead a team of Network Development Engineers (NDE) and Software Engineers who bridge the gap between traditional networking and software engineering. * Cross-Functional Product Partnership: Collaborate closely with Product, Hardware Engineering, and Network Operations to ensure new designs are not only high-performance but also observable and maintainable at scale. What You’ll Bring * 15+ years of progressive experience in large-scale network engineering, with at least 5+ years in a leadership role focused on network design, architecture, or development. * Deep expertise in Data Center Fabric Design: Proven track record building large-scale Clos topologies using BGP, EVPN-VXLAN, and Segment Routing. * Specialized HPC Knowledge: Deep understanding of the "Backend Network," including RDMA, RoCEv2, and InfiniBand, and how they impact GPU performance. * Software-Defined Mindset: Strong background in network programmability and automation frameworks (Python, Go, Terraform, Ansible, NetBox, or custom-built controllers). * Hardware Proficiency: Experience with merchant silicon architectures (Broadcom Tomahawk/Jericho, Barefoot Tofino) and deep-buffer switching. * Architectural Vision: Ability to design for the future, including IPv6-only fabrics, multi-tenant security at the hardware level, and 800G/1.6T transitions. * Interconnect Expertise: Experience designing private backbones and peering strategies that integrate seamlessly with hyperscale cloud providers (AWS, GCP, Azure). * Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. Benefits * Industry competitive pay * Restricted Stock Units in a fast growing, well-funded technology company * Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents * Employer contributions to HSA accounts * Paid Parental Leave * Paid life insurance, short-term and long-term disability * Teladoc * 401(k) with a 100% match up to 4% of salary * Generous paid time off and holiday schedule * Cell phone reimbursement * Tuition reimbursement * Subscription to the Calm app * MetLife Legal * Company paid commuter benefit; $300 per month Compensation Range: Compensation will be paid in the range of $237,000 - $288,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description Company overview: Let's be real: AI isn't magic. Legion was built to slice through hype and deliver secure, dependable agentic systems that work alongside the people tackling the world's most critical challenges. Born from a DoW partnership and trusted by leaders across government and enterprise, Legion embeds intelligence inside complex systems—unlocking data, accelerating human workflows, and hardening mission-critical operations. From the forward edge to Fortune 500 back-offices, our agentic platform drops AI into the software people already use, optimizing—not replacing—workflows. With world-class collaborators like NVIDIA, HPE, Palantir, and Oracle, we're building infrastructure that boosts human capability everywhere it runs. We're looking for bold thinkers and doers to join us in shaping an AI future that's secure, grounded, and built to work. Role Overview: As an Engineering Manager at Legion Intelligence, you will play a pivotal role in leading and supporting a team of platform and infrastructure engineers. You'll collaborate closely with go-to-market teams to ensure our roadmap aligns with the business's strategic goals. This role requires a deep dive into technical challenges surrounding secure and scalable workflows, driving innovation in product development, and creating a culture of collaboration, innovation, and high-impact. Key Responsibilities: • Own the design, reliability, scalability, and security of the platform infrastructure supporting production Agentic AI systems., • Bring an informed perspective and implement best practices around identity and access controls, • Establish clear patterns for service design, deployment, and inter-service communication., • Own system observability (logging, metrics, tracing) and operational readiness., • Set technical direction for infrastructure components written in Rust, ensuring performance, safety, and maintainability., • Collaborate with go-to-market teams to align roadmap with business goals., • Recruit, mentor, and retain high-performing engineers, fostering a culture of innovation and collaboration., • 2-3+ years of experience hiring and leading teams as an engineering manager., • 10+ years of experience as a senior individual contributor, with strong experience in software architecture in enterprise product development., • Experience in Rust – our team works almost exclusively in Rust, and you must be comfortable operating in a Rust-heavy environment, • Hands-on experience with cloud infrastructure and container orchestration with Kubernetes, • Experience supporting AI/ML platforms, including model serving, agent workflows, and MCP., • Excitement and curiosity for 0->1 product development, with a track record of turning innovative ideas into successful features., • Attend onsite meetings 2-3x a month. Location of onsites may vary, • Knowledge and experience in Agentic AI and its various applications., • Experience designing for multi-tenant or on-prem/air-gapped environments.Compensation Information$200,000—$260,000 USD

Job Description The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data. At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise. Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems. Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we'd love to talk. About the Opportunity: Remote, prefer to be US based on West or East Coast experience selling LaaS (Labeling as a Service) to MAG7. Reporting to: VP of Sales As an Enterprise Account Executive, you will have a tremendous impact on the company. We're looking for somebody with experience in closing Enterprise deals, who is a team player, proactive, and customer obsessed. You optimize for relationships that will last, and create value with every conversation. In this role, you will have an exciting chance to work on a category defining technology in an emerging market. What You'll Bring: • Enterprise sales experience ideally working with ML / big data / Cloud / SaaS products, • Enterprise Sales experience selling LaaS(Labeling as a Service) to MAG7 (Microsoft, Meta, Apple, Alphabet, Nvidia, Tesla (x.ai)) and/or OpenAI, Anthropic, Mistral, etc, • 5+ years quota carrying sales experience, • Success closing new accounts while maintaining existing accounts, • Experience in land and expand motion; PLG or OSS motion is a plus, • Passion for automation and a consultative approach, • Strong oral and written communication skills, • Self-motivated, proactive, and effective working in a remote environment, • A deep passion for discovering the customer need, • Work alongside founders to help our customers achieve their goals and grow the company, • Identify and close quick, small wins while managing longer, complex sales cycles, • Track all customer details including use case, next steps, timelines, forecasting using Salesforce, • Use a solution-based approach to selling and creating value for customers, • Exceed activity, pipeline, and revenue targets, • Close both new accounts and maintain existing accounts, • Collaborate across different functions, engineering, marketing, product, community to help the company progress towards its strategic direction, • Maintain consistent and predictable close rates for new customers, • Create and sustain consultative relationships with existing and prospective customers, • Be able to create a strategic plan to close new customers of interest, • Focusing on renewals and longer term benefits for the customer, • Understand customer roadmap and identify opportunities to help leverage our technology for greater business outcome At HumanSignal While our community and customers enjoy our products, we understand it is our team who make that possible. That is why we want to support you in doing your best work. To explore more about our team please visit the about our team page. We hope you are interested in our opportunities and encourage you to apply even if you are not sure you fit all of the requirements. When applying please include: A short document covering of your experience & skills, such as a resume or linkedin profile. If you have a cover letter expanding on your background and why HumanSignal is of interest to you, even better, though a cover letter is not required & will not impact your application status. When we receive your application, we'll get back to you about the next steps. HumanSignal is an Equal Opportunity Employer. We are committed to building an organization that welcomes diverse backgrounds and lifestyles. Our goal is to create an inclusive work environment that is equitable and where everyone feels they belong. We foster open and transparent communication and a workplace where discrimination and harassment are not tolerated. If you need any accommodations or assistance to make your interviews more accessible please do not hesitate to reach out to us. We do not discriminate against employees or applicants based on gender identity or expression, sexual orientation, religion, age, race, military/veteran status, citizenship, pregnancy status, or any other differences. We are hiring for this role across the United States. On Target Earnings (OTE) for this role to be $300,000 USD; with a 50/50 split, with base pay of $150,000 USD annually + $150,000 USD variable commission. This role also qualifies for variable compensation in the form of commissions. If an employee is meeting sales quota as outlined in our commission plan This range is provided by market data and is in good faith. The final offer details are determined by several factors including candidate experience, expertise as well as applicable industry knowledge, and may vary from the pay ranges listed above.

Job DescriptionWaabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: You will...- Collaborate closely with autonomy and algorithm engineers to scale safe self-driving systems using an AI-first approach.- Build standardized distributed training frameworks for research and production, drive our training towards new levels of stability and efficiency.- Comprehensively profile model runtime and memory to pinpoint performance bottlenecks.- Identify and evaluate emerging technologies that can be adopted into Waabi’s training and inference frameworks, including but not limited to efficient CUDA kernels for training, quantization, model exporting and compilation for inference, etc. Qualifications:- MS/PhD or Bachelors degree with a minimum of 6 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.- Solid coding proficiency in a variety of coding languages including Python, C++ or Rust.- Experience in deep learning frameworks such as PyTorch.- Experience across different stages of the development pipeline: data processing, distributed training and model deployment.- Skilled in profiling CPU and GPU code using tools such as PyTorch Profiler and NVIDIA Nsight.- Open-minded and collaborative team player with willingness to help others.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have:- Experience in model compilation and exporting, interaction with lower level concepts like TensorRT.- Experience in identifying when custom CUDA kernels are needed, and implementing them.- Experience in Bazel build systems, and integrating third party packages into dev environments. The US yearly salary range for this role is: $141,000 - $249,000 in addition to competitive perks & benefits. Waabi’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.Perks/Benefits:Waabi provides a competitive benefits package that includes:- Competitive compensation and equity awards- Health and Wellness benefits encompassing Medical, Dental and Vision coverage- Unlimited Vacation- Flexible hours and Work from Home support- Daily drinks, snacks and catered meals (when in office)- Regularly scheduled team building activities and social events both on-site, off-site & virtually- World-class facility that includes a gym, games room (ping pong table, video game consoles, board games,etc), multiple collaborative working spaces and a gorgeous patio!(when in office)- As we grow, this list continues to evolve! Waabi is an equal opportunity employer that celebrates diversity and is committed to creating a supportive, inclusive, and accessible environment for all employees. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview The Principal Architect leads HPC AI focused Professional Services delivery engagements and cross functional technical teams on customer programs or projects. They are responsible for technical communications with Engineers, Architects, and the customer for AI-driven projects. The Principal Architect may participate in several Customer projects concurrently, integrating AI solutions with enterprise IT systems. Role Summary The Principal Architect will be at the epicenter of the AI revolution, working with the most advanced hardware on the planet. Whether you're helping a research facility unlock new scientific breakthroughs or an enterprise to build its first private AI cloud, your fingerprints will be on the infrastructure that defines the next decade of technology. The right person for the job is a senior individual contributor responsible for designing, implementing, and optimizing large-scale High-Performance Computing and AI platforms centered on the NVIDIA data center ecosystem. This role operates in a hybrid capacity, combining hands-on technical architecture with selective customer-facing advisory responsibilities. The architect serves as a technical authority across GPU-accelerated compute, high-performance networking, and modern parallel storage platforms, influencing architectural standards and delivery outcomes while ensuring successful, on-time, and on-budget customer deployments without escalations. This is a remote work from home position, with an average travel expectation of approximately 10%, and a willingness for additional travel during peak project phases or critical customer engagements. Key Responsibilities Architecture and Design • Lead the end-to-end architecture of GPU-accelerated HPC and AI platforms, including greenfield AI factory designs and optimization of existing HPC environments., • Architect integrated solutions spanning Compute, Networking, and Storage using NVIDIA HGX and DGX platforms, Grace CPU architectures, Spectrum-X networking, and high-performance parallel storage systems., • Design storage architectures optimized for AI training, inference, and HPC workloads, balancing performance, scalability, resiliency, and cost., • Provide hands-on technical leadership during implementation phases, including cluster bring-up, performance tuning, and workload optimization., • Architect and integrate workload orchestration and scheduling platforms using NVIDIA Base Command Manager, Slurm, Kubernetes and Run:AI., • Optimize end-to-end data pipelines, including GPU utilization, storage throughput, metadata performance, and job scheduling efficiency., • Design and validate high-performance storage solutions using modern parallel and scale-out storage platforms., • Demonstrate hands-on experience with at least one of the following storage technologies, • VAST Data, • WEKA, • DDN, • Lustre, • NetApp, • Architect storage solutions that support demanding AI and HPC workloads, including high-throughput training pipelines, checkpointing, and large-scale shared datasets., • Act as a senior technical authority for HPC and AI architecture across internal teams and customer engagements., • Participate selectively in customer-facing discussions to validate architecture and delivery plans, with a primary focus on design integrity and execution rather than pre-sales., • Identify technical risks early across Compute, Networking, Storage, and orchestration layers, and drive mitigation strategies., • Partner with the PMO counterpart to resolve Risks and Issues upon identification and to ensure production-ready, supportable platforms., • Ensure staff, contractors, and partners adhere to best practices and templates for AI solution delivery. Core Mastery Areas • Expert level with deep architectural knowledge of NVIDIA data center platforms, including HGX and DGX platforms., • GPU-accelerated compute architecture for AI and HPC workloads., • High-performance networking architectures, especially with Spectrum-X., • Hands-on architectural experience with high-performance parallel or scale-out storage systems., • Deep understanding of storage performance characteristics relevant to AI and HPC workloads, including bandwidth, IOPS, latency, and metadata scaling., • NVIDIA Base Command Manager (BCM) for cluster lifecycle management and operations., • Slurm for HPC workload scheduling and resource management., • Run:AI for GPU orchestration and multi-tenant AI workload optimization., • Kubernetes administration including deploying and managing GPU-accelerated AI and HPC workloads., • Linux systems administration in large-scale, performance-sensitive environments., • Experience optimizing existing HPC or AI platforms for performance, utilization, and cost efficiency., • Prior experience with multi-site, air-gapped, or regulated environments is beneficial but not required., • Senior individual contributor role with influence through technical authority rather than people management., • Ability to mentor engineers and architects through design reviews, architectural guidance, and technical leadership., • Develop and maintain high quality architectural documentation, including design blueprints, configuration guides, deployment validation reports, and operational runbooks., • Ensure all technical artifacts meet One Voice standards for clarity, completeness, and technical accuracy, enabling consistent delivery across teams., • Create reusable templates, reference architectures, and standardized design patterns that accelerate future projects and improve delivery quality., • Bachelor’s degree in a technical field or equivalent hands-on experience architecting large scale HPC or AI systems on experience architecting large scale HPC or AI systems., • Advanced degree (MS/PhD) in relevant fields is a plus but not required., • Experience: 10+ years in HPC, Data Center Architecture, and/or Systems Engineering., • Bare Metal Focus: A fundamental preference for, and understanding of, on-premises hardware constraints (power, cooling, cabling)., • Proven experience as a Senior, or Lead Architect or equivalent experience in AI projects. 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Job Description Company Overview: Let's be real, AI isn't magic; Legion was built to move beyond AI hype—delivering secure, reliable systems that work alongside the people tackling the world's most critical challenges. Born from a DoW partnership and trusted by leaders across government and enterprise, Legion embeds intelligence inside complex systems, unlocking data, accelerating human workflows, and strengthening mission-critical systems. We don't replace workflows; we optimize them, ensuring quality, efficiency, and reliability inside the platforms our partners already use. With world-class collaborators like Nvidia, HPE, and Oracle, we're building intelligent infrastructure that enhances human capability and drives impact at the edge and across a range of enterprises. We're looking for bold thinkers and doers to join us in shaping the future of AI that's secure, grounded, and built to work. The Role: We're seeking a Solutions Engineer to showcase the power of our Generative AI platform to prospective customers and partners in the finance and accounting sectors. In this role, you'll architect and implement proofs of concept (POCs) that demonstrate the measurable impact Legion Intelligence can deliver to financial operations, accounting workflows, and fiscal reporting processes. You'll educate prospects on how Legion's AI capabilities improve data management, reporting accuracy, and operational efficiency, while addressing common concerns such as hallucinations, data privacy, and regulatory compliance. Internally, you'll act as the voice of the customer, translating finance domain challenges into actionable product insights to help shape the evolution of Legion Intelligence's offerings for financial applications. This is a high-impact, cross-functional role that bridges pre-sales, product development, and customer success, requiring both technical fluency and business acumen. Due to Government contract requirements, we are only able to hire US citizens or Green Card holders. Key Responsibilities: • Engineer & Deliver POCs: Design and implement compelling technical demonstrations and proofs of concept tailored to prospective finance and accounting customers., • Pre-Sales Engagement: Partner with sales teams to identify customer pain points and craft technical solutions that highlight Legion Intelligence's value., • Customer Relationship Building: Establish trust with technical and business stakeholders, providing clear assessments of AI readiness, compliance implications, and expected ROI., • Product Evangelism: Represent customer needs internally by sharing insights on financial workflows, ERP integration requirements, and emerging trends in AI adoption., • Partner Collaboration: Work with ERP, accounting tech, and financial services partners to build joint demos, integrations, and go-to-market assets., • Technical Leadership: Lead pre-sales presentations, workshops, and demos, translating technical AI concepts into business impact for non-technical audiences., • Continuous Improvement: Relay feedback to engineering and product teams to refine features, improve model performance, and enhance user experience for finance-specific use cases. Qualifications: • 4+ years of experience in pre-sales engineering or solutions architecture, ideally serving enterprise clients., • Ability to understand and translate AI capabilities for finance and accounting applications, such as data classification, reconciliation, and regulatory compliance automation., • Proficiency with Python or similar scripting languages., • Strong understanding of financial and accounting workflows, including opportunities for automation and AI-driven optimization., • Familiarity with major ERP systems (e.g., NetSuite, Oracle, SAP, Workday). Preferred Qualifications: • Experience working in a startup or fast-scaling technology environment., • Demonstrated success partnering with finance departments, accounting tech vendors, or ERP platform providers., • Experience designing AI or data automation solutions for financial operations, auditing, or compliance. Why Legion Intelligence: • Opportunity to be at the forefront of enterprise AI adoption in one of the world's most data-sensitive industries., • Work alongside experts in AI, data infrastructure, and enterprise sales., • Competitive compensation, remote flexibility, and a culture of curiosity, impact, and integrity.Compensation Information$170,000—$230,000 USD

Job DescriptionAbout Collate Collate is an AI document generation platform for life sciences. We automate paperwork with AI, helping our customers get life-saving innovations to patients years faster. Collate is an end-to-end solution, powering every step of drug, diagnostic, and medical device development—from concept to market. Our CEO Surbhi Sarna is a former General Partner at Y Combinator. Surbhi founded nVision Medical, which developed a new method to detect ovarian cancer and was acquired by Boston Scientific. Our CTO Nate Smith is a former Visiting Partner at Y Combinator and founder of Lever. Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We’re a small, elite team, with over $30M in seed funding from top investors (Redpoint, First Round Capital, Conviction, and Y Combinator) and leaders in healthcare and AI. This is a rare chance to join at the ground floor of a company with world-changing potential, experienced founders, and resources to execute at scale. About the Role We’re looking for a Frontend Software Engineer to define how people experience Collate. The work you do will translate cutting-edge AI into tools that feel simple, reliable, and human — even in the complex world of healthcare. From the very beginning, your fingerprints will be on the product experiences that doctors, patients, and researchers depend on. Collate is a very Frontend heavy enterprise workflow application that is AI native (think Cursor). Customers need to trust the data we present to them and that means providing a high quality, clear and reliable interface to that data. You’ll be designing the layer where life-changing technology meets real people, in moments that matter to real patient outcomes. Modern Tech Stack Collate uses modern TypeScript, React, and Tailwind CSS for frontend development. We use Next.js for progressive application rendering on the server and client. AI & ML code is written in Python, and Go is used for scalable web backend services.What You’ll Do • Build responsive, performant web applications that make complex AI-driven healthcare data simple, accessible and usable., • Collaborate closely with design, product, and backend engineers to bring ideas from concept to production. Own your own testing, own releasing software to production and monitor its life., • Create reusable components and frontend infrastructure that scales with the team and product. New challenges arrive daily, always think ahead of the current designs., • Obsess over details of interaction (create delight), accessibility (all people need access!), and performance (if it’s slow, it’s a no-go) to deliver seamless user experiences., • Shape the look, feel, and usability of Collate’s products at a formative stage in the company’s journey. (high quality products need interfaces that are equally high quality to shine)

Job Description About Legion Intelligence: Let's be real, AI isn't magic; Legion was built to move beyond AI hype—delivering secure, reliable systems that work alongside the people tackling the world's most critical challenges. Born from a Department of Defense partnership and trusted by leaders across government and enterprise, Legion embeds intelligence inside complex systems, unlocking data, accelerating human workflows, and strengthening mission-critical systems. We don't replace workflows—we optimize them, ensuring quality, efficiency, and reliability inside the platforms our partners already use. With world-class collaborators like Palantir, Nvidia, HPE, and Oracle, we're building intelligent infrastructure that enhances human capability and drives impact at the edge and across a range of enterprises. We're looking for bold thinkers and doers to join us in shaping the future of AI that's secure, grounded, and built to work. The Role: Legion is hiring a Head of Product Marketing to define how our platform and solutions are understood in the market and to ensure our go-to-market teams are armed to win. This role reports directly to the SVP of Marketing and partners closely with Product, Engineering, Sales, and Customer Success leadership. This is a leadership role with real leverage. You will own the product narrative across national security, aerospace, manufacturing, and energy, and translate fast-evolving technical capabilities into clear, differentiated positioning that drives pipeline and revenue. You will work at two levels simultaneously: • At the strategic level, shaping portfolio positioning, industry narratives, ICP clarity, and competitive differentiation. What You Will Own: Portfolio Positioning and Market Definition • Define and evolve Legion's product positioning across priority industries: national security, aerospace, manufacturing, and energy., • Partner with GTM and Product to shape and refine ideal customer profiles and buyer personas, ensuring marketing has a direct voice in how we define and pursue the market., • Develop messaging frameworks grounded in measurable outcomes, deployment realities, and operational impact., • Translate platform capabilities into clear, industry-specific use cases that resonate with distinct personas., • Build durable solution packaging that sellers can reuse across accounts and verticals., • Own the messaging and enablement strategy for major product releases and updates., • Partner cross-functionally to coordinate launch readiness across Sales, Growth, and Customer teams., • Ensure launches are more than announcements, equipping the field with clear positioning, talk tracks, competitive framing, and supporting materials., • Define and evolve cohesive demo narratives that connect capabilities across modules into outcome-driven stories aligned to target industries and buyer personas., • Own Legion's competitive narrative and clearly define where and why we win., • Develop structured differentiation frameworks that translate into real tools for sellers: competitive briefs, objection handling, and positioning guidance., • Develop a deep understanding of Legion's architecture, deployment models, and roadmap direction., • Translate complex technical systems into narratives that are credible to technical buyers and compelling to executives., • Partner closely with Customer Success to convert real-world deployment outcomes and field learnings into credible proof, sharper vertical narratives, and more decisive competitive positioning in active deals., • Support joint messaging and enablement with key partners to strengthen ecosystem alignment in active opportunities. What We're Looking For: • 7+ years of experience in product marketing, solutions marketing, or technical GTM roles within AI, enterprise software, infrastructure, or similarly complex systems., • Experience marketing rapidly evolving technical platforms where capabilities shift quickly and narrative must evolve alongside them., • Demonstrated success building positioning and enablement that directly supports enterprise deal cycles., • Strong ability to define ICPs and buyer personas and translate them into targeted messaging and field-ready assets., • Demonstrated ability to leverage AI tools to accelerate research, messaging development, and enablement creation while maintaining rigor and accuracy., • Exceptional writing, storytelling, and presentation skills across technical and executive audiences., • High ownership mindset and comfort operating in a fast-moving, early-stage environment., • Experience marketing into national security, aerospace, manufacturing, energy, or other regulated and mission-critical industries., • Familiarity with hybrid, on-prem, and edge deployment environments., • Experience enabling sales in complex, multi-stakeholder buying environments with long decision cycles.Compensation Information$180,000—$240,000 USD

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role This Incident Manager role is critical for upholding service reliability and customer trust, directly impacting company success by minimizing downtime and resolving critical issues. You will spearhead the management of high-visibility incidents and customer escalations, ensuring rapid and effective responses to complex technical challenges. Beyond immediate resolution, we are looking to sharpen our incident management practices to ensure a superior customer experience during "storms" as well as robust preventative measures afterward. You will leverage data analytics to drive greater resiliency and reliability, ensuring that every incident translates into a stronger product and process. What You’ll Be Working OnCrisis Management & Data-Driven Resiliency * Handle the "Storm": Lead incident responses for high-visibility issues, ensuring minimal disruption to customer operations. You will act as the calm anchor during crises, managing communication and strategy to maintain customer trust during outages or critical failures. * Analytics & Reliability: Utilize data analytics to identify trends in incidents, translating these insights into actionable strategies for greater system resiliency and reliability. * Preventative Strategy: Develop robust incident response strategies and designs. Focus on the "preventative piece" by conducting deep post-incident reviews to ensure root causes are addressed and recurrences are eliminated. Technical Execution & Customer Support * Troubleshoot and Resolve: Diagnose and resolve complex technical issues related to Infiniband, containerization, and distributed training. * Implement and Optimize: Guide and assist customers in implementing and optimizing their HPC infrastructure to achieve maximum performance and efficiency. * Educate and Empower: Develop and deliver training materials, including internal training sessions, documentation, and knowledge base articles, to empower customers to effectively utilize our solutions. * Collaborate Internally: Work closely with internal engineering and product teams to provide valuable customer feedback. You will act as a key technical resource, helping our Customer Support Engineers (CSEs) and Customer Success Managers (CSMs) understand and resolve complex product issues. What You’ll Bring to the TeamTechnical Proficiency & Certifications * Core Tech Stack: Strong technical experience with Linux, Virtualization, Kubernetes, and handling customer incidents. * Certifications: We are looking for candidates who actively update their skill sets. NVIDIA, Linux, and Kubernetes certifications are strongly preferred to demonstrate a deep understanding of the products our CSEs and CSMs support. * Networking & Infrastructure: Solid understanding of the TCP/IP stack and Infrastructure-as-Code (IaC) practices. * Bonus Skills: Programming skills with one or more programming languages. Essential Experience & Mindset * Experience: 4-5 years of customer-facing experience and 3-5+ years’ experience in a team leadership role acting as a liaison with external/internal customers. * Crisis Handling: A proven track record in crisis management, capable of navigating high-pressure situations with a focus on customer experience. * Problem Solving: A proven problem-solving mindset with the ability to diagnose and resolve complex technical issues. * Communication: Excellent communication skills, both written and verbal. Benefits: * Competitive compensation * Restricted Stock Units * Paid time off & paid holidays * Comprehensive health, dental & vision insurance * Employer contributions to HSA account * Paid parental leave * Paid life insurance, short-term and long-term disability * Professional development & tuition reimbursement * Mental health & wellness support * Commuter benefits (parking & transit) * Cell phone stipend * 401(k) Retirement plan with company match up to 4% of salary * Volunteer time off Compensation Range Compensation will be paid in the range of $136,125 -$165,000K. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job DescriptionAbout Collate Collate is an AI document generation platform for life sciences. We automate paperwork with AI, helping our customers get life-saving innovations to patients years faster. Collate is an end-to-end solution, powering every step of drug, diagnostic, and medical device development—from concept to market. Our CEO Surbhi Sarna is a former General Partner at Y Combinator. Surbhi founded nVision Medical, which developed a new method to detect ovarian cancer and was acquired by Boston Scientific. Our CTO Nate Smith is a former Visiting Partner at Y Combinator and founder of Lever. Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We’re a small, elite team, with over $30M in seed funding from top investors (Redpoint, First Round Capital, Conviction, and Y Combinator) and leaders in healthcare and AI. This is a rare chance to join at the ground floor of a company with world-changing potential, experienced founders, and resources to execute at scale. About the Role We’re looking for an AI Engineer to help build and productionize the models and systems that power Collate’s products. You’ll work at the intersection of machine learning, software engineering, and product — turning cutting-edge research into reliable, user-facing capabilities. This is an opportunity to shape how advanced AI is applied in Life sciences — a space where performance, safety, and trust matter as much as innovation. As one of the first AI-focused engineers at Collate, you’ll define the standards for how we evaluate, and deploy models that directly impact drug and medical device development.What You’ll Do • Prompt optimization, red-teaming, and improving robustness of LLMs for life-science NLP applications within Collate’s products., • Build pipelines and infrastructure to deploy AI systems reliably, safely, and at scale., • Collaborate with product, design, and engineering teams to translate user needs into AI-driven features., • Develop evaluation frameworks to ensure models are accurate, fair, and trustworthy in real-world life science settings., • Experiment rapidly, while balancing iteration speed with the rigor required for high-stakes applications., • Create tools and workflows that make AI development more efficient across the team.What We’re Looking For, • Hands-on experience building and deploying ML/AI systems in production., • Strong foundation in deploying search and retrieval systems and NLP applications., • Ability to bridge research and engineering — from prototyping models to shipping them in user-facing products., • Comfort working in an early-stage startup where ambiguity is high and ownership is expected.

Job Description Location: US - Cambridge, MA (Eastern Time / UTC -4) Relocation package: Available Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers. We are searching for a Senior Full Stack Engineer (Node.js + React) with strong hands-on experience building scalable, high-performance web applications powering complex, data-intensive AI products used by Fortune 500 customers. This role is ideal for an engineer who enjoys owning features end to end—from backend architecture to polished frontend delivery—someone who can design APIs, build scalable services, craft intuitive user interfaces, and ship production-ready features at scale. What Youll Do • Design, build, and maintain scalable full stack applications using Node.js, React, and TypeScript., • Architect and develop robust backend services, APIs, and data models., • Build modern, production-grade web interfaces with React., • Own features end to end, from technical design and implementation to deployment and production support., • Optimize performance across the stack (frontend rendering, API latency, database queries)., • Collaborate closely with product, design, and AI/ML teams to ship user-facing features., • Establish best practices around testing, code quality, observability, and CI/CD., • Improve overall system architecture, scalability, and developer experience., • Debug and resolve production issues across both frontend and backend systems. What Were Looking For • 5+ years of experience as a Full Stack Engineer., • Strong proficiency in Node.js (Express, NestJS, or similar frameworks)., • Strong proficiency in React and TypeScript in production environments., • Experience designing RESTful APIs and working with databases (PostgreSQL, MongoDB, or similar)., • Solid understanding of modern web architecture and distributed systems fundamentals., • Experience building scalable, secure, and high-performance applications., • Familiarity with cloud environments (AWS, GCP, or Azure)., • Comfortable owning features and shipping to production independently., • Strong collaboration skills across product, design, and backend/ML teams. Bonus Points • Experience building data-heavy dashboards or real-time web applications., • Familiarity with modern state management solutions (Redux, Zustand, React Query)., • Experience with event-driven architectures or message queues., • Exposure to AI-driven or ML-powered products., • Startup experience or comfort working in fast-moving, ambiguous environments. Why This Role Will Pivot Your Career • Research pedigree: MIT CSAIL founders with deep AI and systems expertise., • Customer impact: Build products used by Fortune 500 clients., • Industry momentum: Alumni behind major acquisitions (MosaicML Databricks, Run:AI NVIDIA, W&B CoreWeave)., • Funding & growth: Oversubscribed seed round, next funding planned for 2026., • Ownership: Lead full stack architecture and mission-critical product features., • Engineering depth: Work on challenging scalability, performance, and AI infrastructure problems. Benefits • Competitive salary & equity options, • Sign-on bonus, • Health, Dental, and Vision, • 401(k) Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Job Description Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI—secure, compliant, and infrastructure-flexible deployments—H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised 256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. For more information, visit . About This Opportunity We are looking for a Senior AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one. You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes. This position is based in San Francisco, California. What You Will Do Agentic AI & LLM Engineering • Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step workflows for enterprise customers., • Develop and deploy LLM-powered applications using techniques including RAG, fine-tuning, prompt engineering, function calling, and tool use., • Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety., • Own the full development lifecycle: from problem framing and data exploration through model development, API integration, and production deployment., • Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows., • Integrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale., • Work directly with customer data scientists, engineers, and business stakeholders to translate real-world problems into AI solutions., • Contribute to pre-sales and proof-of-concept engagements - building fast, credible demonstrations that win technical trust., • Communicate clearly across audiences: from detailed technical design reviews with engineering teams to outcome-focused updates for business stakeholders. Experience & Background • 3+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment., • Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar., • Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent)., • Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps., • Solid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLM., • Backend development skills: REST APIs, containerization (Docker/Kubernetes), and CI/CD pipelines for AI applications., • Strong problem-solving instincts - comfortable with ambiguity, able to move fast without sacrificing engineering quality., • Kaggle or competitive ML experience., • Familiarity with H2O.ai products, Wave, or H2O Document AI., • Experience in financial services, healthcare, or other regulated industry AI deployments., • Exposure to tabular foundation models, AutoML, or enterprise ML platforms., • Market leader in total rewards, • Remote-friendly culture, • Flexible working environment, • Be part of a world-class team H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit to learn more. #LI-Hybrid Powered by JazzHR pkisgdEfOB

Job DescriptionSalary: About Skycatch Skycatch is transforming mining with high-accuracy drone mapping, AI-powered analytics, and automation tools that enable safer, more efficient, and more sustainable operations. Our solutions are deployed in top global mining companies and were a trusted partner to industry leaders like Caterpillar and NVIDIA, helping mines transition toward autonomy, precision planning, and near-real-time decision-making. Were looking for a Solutions Engineer whos as comfortable walking a haul road in steel-toe boots as presenting ROI-driven analytics in the boardroom. Youll be the bridge between real mining pains and cutting-edge Skycatch technology. What Youll Do • Lead proof of concepts and demos at mine sites worldwide, showing how Skycatchs drone automation and geospatial analytics solve real operational problems., • Map customer pain points (haul road compliance, mine plan validation, stockpile accuracy, highwall safety) to Skycatch workflows and business outcomes., • Design and present technical proposals that clearly communicate ROI and operational impact., • Deliver onboarding & training to surveyors, engineers, operations, and safety teams so Skycatch becomes part of their daily workflow., • Ensure customer success post-deployment, monitoring usage, surfacing new use cases, and supporting contract renewals/expansion., • Collaborate closely with sales, product, and engineering teams to bring customer feedback into future Skycatch innovations. What Were Looking For • 5+ years in mining operations, ideally in mine planning, surveying, geotechnical, or production engineering., • Familiarity with open-pit mining workflows, safety standards, and operational KPIs., • Experience with survey/GIS tools (RTK GPS, LiDAR, photogrammetry, ArcGIS, Vulcan, Deswik, MineStar, Hexagon, or similar)., • Confident presenting to both frontline crews and C-suite executives., • Hands-on technologist, comfortable flying a drone, troubleshooting network connectivity, or configuring software in the field., • Problem solver who thrives in dynamic, high-pressure environments., • Willingness to travel frequently to customer sites worldwide. Why Join Us • Be part of a global leader in mining digitization and autonomy enablement., • Work with cutting-edge technology autonomous drone systems, AI analytics, real-time data processing., • Make a tangible impact on safety, productivity, and sustainability in mining., • Collaborate with some of the biggest names in mining and heavy equipment manufacturing.

Job DescriptionZyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Research Engineer - AI Performance & Kernel Optimization, you will improve and optimize the performance of our large-scale language model training and inference stacks. You will work closely with our pretraining and inference teams to identify bottlenecks, design and implement highly optimized kernels, and push the limits of throughput, latency, and hardware utilization across a range of accelerator platforms. This role is suited for someone who enjoys deep systems work, cares about performance at every level of the stack, and is excited to translate low-level optimizations into meaningful gains for frontier-scale AI systems. You’ll Work Across: * Kernel development and optimization for large-scale ML workloads, using any level of the stack from PTX/assembly to CUDA, HIP, Triton, or other GPU DSLs * Performance tuning for training and inference stacks across GPUs and other accelerators * Profiling and eliminating bottlenecks in memory movement, communication, scheduling, and compute utilization * Optimizing distributed training and inference systems for large MoE models, including large-scale model parallelism * Portability and optimization across non-NVIDIA hardware, with special interest in AMD hardware such as the MI300x and MI355x * Collaboration with research and infrastructure teams to turn systems improvements into real-world model training and inference gains What We're Looking For / Requirements: * Strong engineering aptitude for building reliable, high-performance systems * Excellent low-level performance intuition and the ability to reason about hardware-software interactions * Are excited to rapidly learn new systems, tools, and hardware environments * Excellent communication and collaboration skills, with the ability to work effectively across research and engineering teams * Enjoy diving deep into the weeds and hunting down the last 10–20% of performance Qualifications / Additional Skills: * Experience writing highly performant GPU kernels at any level of abstraction–PTX, CUDA, HIP, Triton, or other kernel DSLs * Experience optimizing ML workloads for large-scale training, ideally in language model pretraining or inference environments * Experience with non-NVIDIA accelerator hardware, such as AMD, AWS Trainium, Google TPU, Qualcomm, ARM, Intel, and custom ASICs * Strong understanding of distributed training systems and parallelism schemes, including data parallelism, tensor/model parallelism, pipeline parallelism, sharding, and communication/computation overlap * Experience with performance engineering in other demanding parallel computing environments such as HPC, quantitative finance, scientific computing, graphics, compilers, or numerical simulation * Strong systems intuition around memory hierarchy, bandwidth constraints, kernel fusion, launch overhead, communication overhead, and hardware utilization * Experience using profiling and debugging tools to drive performance improvements * Familiarity with infrastructure underlying large-scale training and inference, including collective communication libraries, and runtime performance analysis * Background in a highly technical field such as physics, mathematics, theoretical computer science, computer science, or electrical engineering * Any HPC experience is a strong plus Why Work at Zyphra: * Our research methodology is grounded in methodical, step-by-step approaches to ambitious goals. Both deep research and engineering excellence are equally valued * We strongly value new and crazy ideas and are very willing to bet big on new ideas * We move as quickly as we can; we aim to minimize the bar to impact as low as possible * We all enjoy what we do and love discussing AI Benefits and Perks: * Comprehensive medical, dental, vision, and FSA plans * Competitive compensation and 401(k) plan * Relocation and immigration support on a case-by-case basis * In-office snacks and meals provided * Unlimited PTO and company holidays * In-person team in San Francisco with a collaborative, high-energy environment

Job Description At Ouster, we build sensors and tools for engineers, roboticists, and researchers, so they can make the world safer and more efficient. We've transformed LIDAR from an analog device with thousands of components to an elegant digital device powered by one chip-scale laser array and one CMOS sensor. The result is a full range of high-resolution LIDAR sensors that deliver superior imaging at a dramatically lower price. Our advanced sensor hardware and vision algorithms are used in autonomous cars, robotics, industrial, and smart infrastructure applications (among many others). If you’re motivated by solving big problems, we’re hiring key roles across the company and need your help! We are looking for a highly technical Machine Learning Engineer to lead our efforts in Object Detection and Tracking. You will not simply be "importing" pre-made models; you will be architecting deep neural networks, translating state-of-the-art research papers into code, and optimizing these systems for real-time, on-device performance. This role requires a deep knowledge of neural network architectures. You should be confident ripping apart a model to modify layers, loss functions, and data flows to fit our specific constraints. Key Responsibilities • Architect Unified Models: Design and train DNN models that perform Object Detection and Tracking simultaneously, leveraging temporal information to improve consistency., • Research to Production: Evaluate state-of-the-art research papers and prototype these concepts (turning papers into code) and adapt them into robust, production-grade solutions., • Deep Model Customization: Go beyond standard libraries by implementing custom loss functions, modifying internal model architectures, and designing specific data augmentation strategies to squeeze out maximum performance., • Edge Optimization: Ensure high accuracy is matched by high efficiency. Optimize models for real-time inference and on-device deployment., • Data Strategy: Develop training recipes for data-constrained environments and effective post-training strategies.Required Qualifications, • Core Stack:, • 5+ years proficiency in Python and PyTorch., • 3+ years proficiency in C++ for production deployment and optimization., • Detection & Tracking: Deep theoretical and practical understanding of modern object detectors (e.g., Transformers, YOLO variants, R-CNNs) and tracking algorithms (e.g., DeepSORT, Kalman Filters, Optical Flow)., • Architecture Internals: Proven experience not being dependent on "out-of-the-box" APIs. You have a track record of modifying model architectures via extensive experimentation to meet specific requirements., • Low-Data Regimes: Experience improving model generalization with limited data using Transfer Learning, Domain Adaptation, or Few-Shot Learning., • Mathematical Foundation: Strong grasp of linear algebra and probability as it applies to custom loss function design and geometric 3D vision.Preferred Qualifications, • 3D / LiDAR Experience: Hands-on experience with 3D Point Cloud data (LiDAR) is a massive plus., • Deployment Tools: Experience with TensorRT, ONNX Runtime, or edge-specific hardware (NVIDIA Jetson, etc.).The base pay will be dependent on your skills, work experience, location, and qualifications. This role may also be eligible for equity & benefits. ($180,000-220,000) We acknowledge the confidence gap at Ouster. You do not need to meet all of these requirements to be the ideal candidate for this role. Ouster is an Equal Employment Opportunity employer that pursues and hires a diverse workforce. Ouster does not make employment decisions on the basis of race, color, religion, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military status, or any other basis protected by local, state, or federal laws. Ouster also strives for a healthy and safe workplace, and prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance, Ouster considers qualified applicants with arrest and conviction records for employment. If you have a disability or special need that requires accommodation, please let us know. Powered by JazzHR POaf4TokKv

Job Description At Ouster, we create cutting-edge sensors and software solutions for engineers, roboticists, and researchers to help make the world safer and more efficient. Our advanced sensor hardware and vision algorithms are integral to a wide range of applications, including autonomous vehicles, drones, and more. If you're passionate about tackling complex challenges and shaping the future of autonomy, we want you on our team! As a Senior Autonomy Engineer on the Ouster SDK (Software Development Kit) team, you'll play a key role in developing systems and features that power autonomous applications, including robotics and Advanced Driver Assistance Systems (ADAS). You'll also contribute to the evolution of the open-source Ouster SDK—an essential toolset for customers to access, process, and visualize LiDAR data, enabling them to bring their robotic systems to life. This role requires a keen eye for high-performance C++ development and crafting clean, efficient APIs. You’ll collaborate closely with internal teams, including Ouster's LiDAR development and perception teams, as well as external stakeholders in the open-source community. Additionally, you will have the opportunity to work directly with key customers to understand their challenges and provide innovative solutions, either by leveraging existing SDK features or creating new ones. This job is a hybrid onsite in San Francisco headquarters. Relocations will be sponsored. Job Responsibilities: • Develop custom systems for autonomy, robotics and ADAS applications based on Ouster SDK features, • Translate customer requirements into engineering implementation, • Design, implement, and test features in C++ and Python for the open-source Ouster Lidar Sensor SDK, • Develop and maintain clean, high-performance, robust cross-platform code, • Prototype, design, and implement in-house tools to support internal engineering teams from embedded software to optics and manufacturing in building lidar sensors, • Enhance internal perception and mapping capabilities, • Document, plan, and track your work, • Demonstrate new products to customers and stakeholders Job Requirements: • 4+ years of experience in high-performance C++ and Python, • 4+ years of experience developing autonomy systems with localization, obstacle avoidance and path planning algorithms, • Proven track record of defining, developing and deploying fully autonomous robotic systems., • Proven ability to troubleshoot complex systems, particularly in robotics, autonomous driving, and multi-sensor environments., • Ability to integrate and process data from multiple sensors (LiDAR, cameras, IMUs) to achieve robust system performance, • Strong communication, collaboration, and leadership skills, • Significant Linux experience, • Some knowledge of Linux networking, networking protocols and Python packaging, • Experience working with Robotics Processing Platforms such as Nvidia Jetson, RaspberryPi, • Experience developing and deploying with Docker, • Experience with cross-platform development, especially Windows or macOS, • Past experience working directly with customers, • LiDAR-based approaches for precise positioning, • Network programming experience, • Pybind11, • Experience with Jenkins or other CI/CD systems, • Experience with CMake, build, packaging, • Web assembly, • OpenGL, • Experience maintaining an open-source codebase We acknowledge the confidence gap at Ouster. You do not need to meet all of these requirements to be the ideal candidate for this role. Ouster is an Equal Employment Opportunity employer that pursues and hires a diverse workforce. Ouster does not make employment decisions on the basis of race, color, religion, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military status, or any other basis protected by local, state, or federal laws. Ouster also strives for a healthy and safe workplace, and prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance, Ouster considers qualified applicants with arrest and conviction records for employment. If you have a disability or special need that requires accommodation, please let us know. Powered by JazzHR eXrI9e3oUX

Job Description About Legion Intelligence: Let's be real, AI isn't magic; Legion was built to move beyond AI hype—delivering secure, reliable systems that work alongside the people tackling the world's most critical challenges. Born from a Department of Defense partnership and trusted by leaders across government and enterprise, Legion embeds intelligence inside complex systems, unlocking data, accelerating human workflows, and strengthening mission-critical systems. We don't replace workflows—we optimize them, ensuring quality, efficiency, and reliability inside the platforms our partners already use. With world-class collaborators like Palantir, Nvidia, HPE, and Oracle, we're building intelligent infrastructure that enhances human capability and drives impact at the edge and across a range of enterprises. We're looking for bold thinkers and doers to join us in shaping the future of AI that's secure, grounded, and built to work. The Role: Legion is hiring a Head of Marketing Operations & Growth to architect and operate the performance engine behind our go-to-market motion. This role reports directly to the SVP of Marketing and partners closely with Sales, Customer Success, Federal Marketing, and Product Marketing. You will own two critical outcomes: • A marketing infrastructure that produces clean, trusted, decision-ready data. What You Will Own: Marketing Systems and Measurement Architecture • Own the architecture and performance of Legion's marketing systems, ensuring clean integration between marketing automation, paid media platforms, and the Salesforce CRM so data flows reliably across the funnel., • Define and implement attribution models, UTM governance, lifecycle stages, routing logic, and campaign taxonomy., • Establish clear definitions for funnel stages and handoffs across Marketing and Sales., • Build executive-ready dashboards and reporting frameworks that connect marketing activity to pipeline and revenue outcomes., • Design and execute targeted outbound and ABM-style campaigns across priority accounts and verticals., • Build and manage paid programs directly, including audience segmentation, list strategy, targeting configuration, budget allocation, creative selection, testing frameworks, and performance reporting., • Lead full-funnel campaign planning from offer strategy and landing experience through retargeting and conversion measurement., • Run structured experimentation across targeting, creative, messaging inputs, and spend allocation., • Develop targeted account programs aligned to complex, multi-stakeholder buying cycles., • Partner with Sales to align on account selection, engagement sequencing, and feedback loops., • Establish weekly and monthly performance rhythms that drive decisions, not status updates., • Surface insights proactively and tie campaign results back to strategic marketing and GTM priorities., • 8+ years of experience in marketing operations, growth marketing, performance marketing, or demand generation within B2B SaaS or highly technical products., • Proven experience designing and implementing marketing infrastructure that connects CRM, marketing automation, paid media platforms, and reporting systems., • Strong hands-on experience operating paid and targeted campaign channels directly, including audience configuration, campaign setup, optimization, and performance analysis., • Deep understanding of attribution, lead routing, funnel definitions, and campaign measurement frameworks., • Demonstrated ability to move from data to action, making clear decisions on budget allocation, targeting strategy, and campaign prioritization., • Comfort partnering cross-functionally with Sales and Customer Success on funnel mechanics and operational alignment., • Experience marketing to government, defense, or national security adjacent audiences, with an understanding of longer buying cycles, committee-driven decisions, and the nuances of account-based targeting in public sector environments., • Experience building and scaling account-based marketing programs where precision targeting and measurement are critical., • Experience improving or rebuilding marketing infrastructure in a growth-stage company.Compensation Information$180,000—$240,000 USD

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. About the Role: As the Senior Staff Engineer for Data Center Operations, you are the technical architect and strategic "right hand" to the Director of Data Center Operations. You will bridge the gap between high-level hardware engineering and ground-level execution, ensuring our AI fleet—from our current H200 and Blackwell (GB200) clusters to upcoming GB300 and Rubin architectures—is the most reliable and maintainable in the world. This is a high-impact role focused on operational maturity, technical governance, and the systems that power our global white space. What You'll Be Working On: * Operational Governance & Metrics: Oversee the technical health of our global ticket queue. Partner with internal teams to develop real-time dashboards and track the KPIs/SLAs (MTTR, fleet availability, sparing accuracy) that measure our operational maturity. * Fleet Supportability & Tooling: Partner with the Fleet Engineering team to define the software access, diagnostic hooks, and physical tooling required for maximum repair efficiency. Act as the primary advocate for "serviceability" within the white space. * Power Topology Strategy: Lead the initiative to map end-to-end "Power Strings," from main distribution down to cabinet PDUs. Lead the Build vs. Buy analysis to determine whether we develop internal mapping tools or procure a third-party solution. * Operational Resilience: Architect the framework for our Business Continuity (BCP) and Disaster Recovery (DR) plans. Define the technical protocols for hardware recovery and site-level failovers to ensure minimal disruption to our AI Cloud customers. * Technical Advisory & Documentation: Provide expert guidance and architectural "sign-off" to the internal Documentation Committee. Ensure all break-fix SOPs and technical playbooks are accurate, safe, and optimized for global scale. * Advanced Escalation & Mentorship: Serve as the final technical authority for systemic or complex hardware failures. Mentor senior technicians and site leads, elevating the collective technical IQ of the global operations team. What You'll Bring to the Team: * Technical Mastery: 10+ years in Data Center Operations, Systems Engineering, or HPC hardware, with an expert-level understanding of x86/GPU server architecture and electrical distribution. * The "Supportability" Mindset: Proven experience in hardware maintenance at scale. You know how to translate field challenges into technical requirements for Engineering and Fleet teams to minimize downtime. * Hardware Expertise: Deep familiarity with high-density AI infrastructure, including current NVIDIA H200 and Blackwell (GB200) systems, with the ability to architect support strategies for the transition to GB300 and Rubin platforms. * Data-Driven Leadership: Expert proficiency in defining operational KPIs and building dashboards (e.g., Tableau, Grafana) to drive "Operational Maturity." * Strategic Decision Making: Experience performing Build vs. Buy analyses for technical tools and infrastructure software, justifying decisions with clear ROI and technical requirements. * Communication: Exceptional ability to distill complex technical risks, ticket-queue trends, and infrastructure hurdles into clear, actionable strategies for senior leadership. Benefits: * Competitive compensation * Restricted Stock Units * Paid time off & paid holidays * Comprehensive health, dental & vision insurance * Employer contributions to HSA account * Paid parental leave * Paid life insurance, short-term and long-term disability * Professional development & tuition reimbursement * Mental health & wellness support * Commuter benefits (parking & transit) * Cell phone stipend * 401(k) Retirement plan with company match up to 4% of salary * Volunteer time off Compensation Range Compensation will be paid in the range of up to $179,000 -$218,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job DescriptionAbout Collate Collate is an AI document generation platform for life sciences. We automate paperwork with AI, helping our customers get life-saving innovations to patients years faster. Collate is an end-to-end solution, powering every step of drug, diagnostic, and medical device development—from concept to market. Our CEO Surbhi Sarna is a former General Partner at Y Combinator. Surbhi founded nVision Medical, which developed a new method to detect ovarian cancer and was acquired by Boston Scientific. Our CTO Nate Smith is a former Visiting Partner at Y Combinator and founder of Lever. Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We’re a small, elite team, with over $30M in seed funding from top investors (Redpoint, First Round Capital, Conviction, and Y Combinator) and leaders in healthcare and AI. This is a rare chance to join at the ground floor of a company with world-changing potential, experienced founders, and resources to execute at scale. About the Role We’re looking for a Backend Engineer to design and scale the systems that power Collate’s products. You’ll build the APIs, services, and infrastructure that form the foundation of our platform, ensuring they are performant, reliable, and secure as we grow from prototypes to large-scale deployment. This role is ideal for someone who enjoys solving complex systems problems, thrives in an early-stage environment, and wants to see their work directly enable breakthroughs in life sciences. Modern Tech Stack Collate uses a modern tech stack, targeting a highly reliable and available platform. We use Go for scalable backend services, Postgres as our main database, TypeScript & React for frontend development, and Python for AI & ML services. Our infrastructure is hosted on AWS with Kubernetes for orchestration and Terraform + Argo CD for configuration management. Other key systems include S3, Kafka, OpenSearch, LLMs, and other AI models.What You’ll Do • Design and build backend services, APIs, and data pipelines that support Collate’s products., • Ensure systems are performant, secure, and reliable at scale., • Collaborate with product, design, and ML teams to turn ideas into production-ready features., • Build internal tools and workflows that accelerate engineering productivity., • Continuously improve backend architecture to support rapid growth and new capabilities.What We’re Looking For, • Experience designing and scaling backend systems in production., • Strong skills in building APIs and services, with attention to reliability and performance., • Comfort working across the stack when needed, with a focus on backend depth., • Ability to move quickly while building for long-term maintainability., • Excitement to work in an early-stage startup where ownership is high and impact is immediate.

Job Description About Flexion: At Flexion, we’re building the intelligence layer powering the next generation of humanoid robots. Our mission is to accelerate the transition from fragile prototypes to real-world humanoid deployment. We are founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zürich), and backed by leading international VC firms. In just months, we’ve gone from our first line of code to deploying real humanoid capabilities. Fifty of the world's best robotics researchers are already building the future at Flexion's headquarters in Zurich. Among them are Nikita Rudin, David Hoeller, Julian Nubert, and Korrawe Karunratanakul - scientists who have redefined what humanoid robots can do. Now we are building their counterpart team in the United States, in San Francisco. The Role: If you are among the most capable, and ambitious robotics researchers in the country, someone who has stared at the limits of what robots can do today and decided that simply wasn't good enough, we want to hear from you. You will join the first wave of US research scientists at Flexion, set the agenda together, own the problems that matter most, and deploy real solutions on real hardware. You will work directly with a world class team across two continents on challenges that have no published answers yet. Key Responsibilities: • Drive original research in learning-based robotics - from concept to hardware deployment, • Own your research direction: define problems, design experiments, and iterate fast, • Collaborate directly with Flexion’s Zurich research team across Manipulation, Motion Generation, and Perception, • PhD in Robotics, Machine Learning, or a closely related field - completed or near completion, • Proven track record of deploying learning-based controllers on real robotic hardware, • Expert-level knowledge in:, • Reinforcement learning, • Physics-based simulation (Isaac Gym/Lab, MuJoCo, or equivalent), • Python and PyTorch, including training large-scale neural networks, • Deep expertise in at least two areas of the following:, • Diffusion models, • Flow matching, • Dexterous manipulation, • Sim-to-real transfer and real-to-sim calibration, • Whole-body control and loco-manipulation, • Synthetic data generation for robot learning, • Vision Language Model Fine-Tuning (SFT and RL-based), • Competitive compensation package, • Comprehensive health and retirement plan benefits, • A front-row seat at one of the world’s most ambitious robotics companies, • An energetic, collaborative team with a relentless bias for action, • The opportunity to build something no one has ever done in this field - alongside the world’s leading researchers

Job Description We’re looking for hardware engineers with hands-on experience in chip design workflows—ideally those who have contributed to real-world tapeouts at companies like Apple, NVIDIA, Etched, or leading EDA vendors such as Synopsys or Cadence. Candidates with exposure to AI-for-chip-design initiatives or a strong understanding of modern ML workflows will stand out. Responsibilities • Drive direction and technical leadership across our multi-agent platform and domain-specific hardware knowledge base., • Bring a deep understanding of chip design workflows and help shape product roadmap with real-world context., • Integrate seamlessly into customer pipelines across RTL, PD, and architectural stages., • Track evolving trends in both semiconductor design and AI-assisted design automation., • Create internal benchmarks and datasets to rigorously evaluate system performance across RTL, PD, and architectural use cases. Qualifications • Bachelor’s, Master’s, or PhD in Electrical Engineering, Computer Engineering, or a related discipline (interns may be considered for their flair)., • Hands-on experience in a semiconductor or EDA environment (e.g., NVIDIA, AMD, Intel, Synopsys, Cadence), 1+ years of full-time experience required, 3+ years preferred., • Proficiency in scripting (Python, Bash) and experience with automation or tooling for design verification or integration. SPECIALTY: DI (Design Integration, RTL, Architecture) • Proven track record of developing architectures and RTL for hardware blocks or IP., • Experience with SystemVerilog, Verilog & SoC design methodologies. SPECIALTY: PD (Physical Design) • Part of leading edge tapeouts (7nm or smaller). Worked on at least one of synthesis, floor planning, place-and-route, physical verification, and timing., • Familiar with one of Genus, Innovus, Tempus, Mentor Calibre, Synopsys IC Compiler, or other relevant EDA CAD tool (and associated TCL). Preferred Experience • Experience on AI-for-chip-design initiatives (e.g., at Synopsys, NVIDIA, GoogleDeepMind)., • Understanding of DFT, power optimization techniques, or low-power design flows., • Experience on an IP development team, developing PCIe, PHY, LPDOR, MemoryControllers, NoC, CPU subsystems, or similar.

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 building AI-powered camera systems that collect the most valuable data for farmers, telling them everything about what is growing on their millions of trees, vines, and plants, across thousands of acres of farmland. Our state-of-the-art AI analyzes every one of the billions of fruit across a farm. We provide accurate yield estimates, fruit counts, size projections, disease detection, inventories, bloom maps, and more! All this data lives in our cloud platform, FruitScope OS, that we've developed from the ground up to enable farmers to manage their crop with precision. Today, our technology is trusted by some of the largest farms in the nation. We are growing fast, and have the industry-leading product. Farmers use our software every day to make critical decisions and run more efficient, profitable operations. The Role: In order to analyze billions of fruit on farms all year long, our advanced, tractor-mounted camera systems have to know a.) precisely where they are, and b.) everything about the fruit they are seeing. We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems, relating to training edge ML models on massive amounts of real-world farm image data collected by our camera systems. About the role: * Full-time, in-person role at our San Francisco or Seattle office. * As an early engineer, you'll receive generous equity compensation * Comprehensive Health, Vision, and Dental coverage, and we cover 100% of the premium * We move fast, and sometimes this means staying late or working weekends * 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: * Build and maintain scalable ETL pipelines for processing large, diverse image datasets collected from our tractor-mounted camera systems in farms. * Develop and deploy infrastructure for model training, evaluation, and inference, both in the cloud and on edge devices. * Design and implement intelligent active sampling infrastructure to optimize data collection and improve model performance. * Stay up-to-date with current literature in computer vision models and architectures, and apply relevant advancements to our systems. * Collaborate with a multidisciplinary team to integrate ML solutions into production robotics systems. * Work closely with agronomists and farmers to understand crop biology and translate domain knowledge into actionable ML features. * Be a generalist, supporting different parts of our software stack as needed. What makes you a good fit: * 2+ years of real-world, industry experience building production-grade data pipelines and ML infrastructure. * Proficiency in Python and experience with ML frameworks (e.g., PyTorch). * Strong experience with data engineering tools (e.g., Pandas, SQL, MLFlow, WandB). * Familiarity with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes). * Experience working with massive amounts of real-world training data. * Familiarity with MLops software and data engineering to ensure consistent deployment of ML models. * Ability to work independently, learn quickly, and operate in a dynamic environment * Enthusiasm for taking on multiple roles and responsibilities as our company grows. Bonus Points: * Experience deploying & optimizing ML models to run fast on embedded compute like NVIDIA Jetson * Experience prototyping, evaluating, or deploying new ML/CV models on the edge. 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 - $205K

Job DescriptionFieldAI is transforming how robots interact with the real world. We build risk-aware, reliable, field-ready AI systems that take on some of the hardest problems in robotics and unlock the potential of embodied intelligence. Rather than relying solely on off-the-shelf, purely data-driven approaches or transformer-only architectures, we take a pragmatic path that combines cutting-edge research with real-world deployment. Our systems are already deployed globally, and we continuously improve performance through rapid iteration informed by real field use. In San Francisco, our team focuses on bringing FieldAI’s technology to customers through sales, customer success, and solutions engineering. We partner closely with customers to understand their operational needs, translate real-world challenges into deployable robotics solutions, and support successful adoption in complex, unstructured environments. We are looking for a Senior Customer Success Manager to own strategic customer relationships across our construction accounts and help ensure successful adoption of FieldAI’s technology in the field. This role is equal parts relationship management, operational problem-solving, and cross-functional execution. You will serve as a trusted partner to customers, helping them navigate deployments, drive adoption, resolve issues, and realize measurable value from our robotics platform. This is an opportunity for someone who thrives in highly dynamic customer environments and wants to play a visible role in scaling customer success at a frontier robotics company. The right person will be energized by building deep customer partnerships, solving complex operational challenges, and acting as the voice of the customer internally as FieldAI expands across the construction market. What You’ll Do • Serve as the primary point of contact for strategic construction customers and build strong, trusted relationships over time, • Drive successful onboarding, adoption, and long-term account health across customer deployments, • Develop a deep understanding of each customer’s operational goals, workflows, and success criteria, • Partner closely with sales, solutions, engineering, and product teams to coordinate customer needs and deliver effective outcomes, • Proactively identify risks, resolve issues quickly, and drive clear communication during high-priority situations, • Track account health, usage, milestones, and customer feedback to improve retention and expansion, • Identify opportunities for growth, upsell, and expanded use cases within existing accounts, • Advocate for customer needs internally and help shape product and process improvements based on field feedback, • Help build the playbook for how FieldAI supports and grows enterprise customers in constructionWhat You Have, • 7+ years of experience in customer success, account management, support, or other customer-facing roles, • Experience managing strategic or enterprise accounts in construction, industrial, enterprise software, or other operationally complex environments, • Strong relationship management skills and the ability to build credibility with customer stakeholders, • Excellent verbal and written communication skills, including the ability to manage executive-facing conversations, • Strong problem-solving instincts and comfort navigating ambiguity in fast-moving environments, • Experience coordinating cross-functional teams to deliver customer outcomes, • Ability to identify expansion opportunities while maintaining a strong customer-first mindset, • Strong organizational and project management skills with attention to detail and follow-through, • Analytical skills and comfort using data to assess account health and inform decisions

Job Description Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package available Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers. We are seeking a Staff / Principal ML Ops Engineer to lead the design, implementation, and scaling of the companys ML infrastructure and production AI systems. This is a high-impact, architecture-defining role where youll work across the entire model lifecycletraining, evaluation, deployment, observability, and continuous optimization. You will partner closely with AI researchers, GPU systems engineers, backend teams, and product stakeholders to ensure the companys large-scale AI systems are robust, efficient, automated, and production-grade. This role is ideal for someone who has already built and owned ML platforms at scale and can drive strategy as well as hands-on execution. What Youll Do • Architect, build, and scale the end-to-end ML Ops pipeline, including training, fine-tuning, evaluation, rollout, and monitoring., • Design reliable infrastructure for model deployment, versioning, reproducibility, and orchestration across cloud and on-prem GPU clusters., • Optimize compute usage across distributed systems (Kubernetes, autoscaling, caching, GPU allocation, checkpointing workflows)., • Lead the implementation of observability for ML systems (monitor drift, performance, throughput, reliability, cost)., • Build automated workflows for dataset curation, labeling, feature pipelines, evaluation, and CI/CD for ML models., • Collaborate with researchers to productionize models and accelerate training/inference pipelines., • Establish ML Ops best practices, internal standards, and cross-team tooling., • Deep hands-on experience designing and operating production ML systems at scale (Staff/Principal-level expected)., • Strong background in ML Ops, distributed systems, and cloud infrastructure (AWS, GCP, or Azure)., • Proficiency with Python and familiarity with TypeScript or Go for platform integration., • Expertise in ML frameworks: PyTorch, Transformers, vLLM, Llama-factory, Megatron-LM, CUDA / GPU acceleration (practical understanding), • Strong experience with containerization and orchestration (Docker, Kubernetes, Helm, autoscaling)., • Deep understanding of ML lifecycle workflows: training, fine-tuning, evaluation, inference, model registries., • Experience deploying and operating LLMs and generative models in production at enterprise scale., • Familiarity with DevOps, CI/CD, automated deployment pipelines, and infrastructure-as-code., • Experience optimizing GPU clusters, scheduling, and distributed training frameworks., • Prior startup experience or comfort operating with ambiguity and high ownership., • Research pedigree: MIT CSAIL founders recognized for breakthrough AI and systems contributions., • Customer impact: Deploy AI solutions powering Fortune 500 clients., • Industry momentum: Lab alumni have led high-value acquisitions (MosaicML Databricks, Run:AI Nvidia, W&B CoreWeave)., • Funding & growth: Oversubscribed seed round, next funding in 2026., • Career growth & influence: Lead AI initiatives, optimize pipelines, and directly impact production AI systems at scale., • Culture & autonomy: Own critical systems while collaborating with world-class engineers., • Competitive salary & equity options, • Sign-on bonus, • Health, Dental, and Vision

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: We are seeking a highly skilled and motivated GPU Fleet Operations Engineer to join Crusoe’s Fleet Operations team to support our research and integration lab. This role is focused on the deployment, management, advanced diagnosis, maintenance, and repair of high-performance GPU compute clusters. The ideal candidate will be hands-on with GPU rack-level troubleshooting and will work closely with data center operations, engineering, and vendors to support cutting-edge infrastructure featuring the latest NVIDIA and AMD GPUs. This position plays a critical role in supporting Crusoe’s new product integration, research and experimentation efforts. What You’ll Be Doing: * Managing a lab environment consisting of the latest GPU systems. * Working closely with OEM for racks, CDUs, and data center infrastructure components * Perform diagnosis and troubleshooting of hardware faults within GPU racks and high-density compute systems. * Support GPU platforms including NVIDIA A100, H200, GB200, B200, B300 and AMD 350X / 355X. * Execute component-level diagnosis and remediation for failed or degraded hardware. * Partner with data center operations to manage and perform field-replaceable unit (FRU) repairs for GPUs, power supplies, cooling systems, interconnects, and networking hardware. * Conduct post-repair validation, burn-in testing, torch testing, and NVIDIA NCCL testing to ensure system stability and performance. * Perform firmware and BIOS upgrades. * Maintain detailed documentation of maintenance activities, failures, and resolutions in ticketing and asset management systems. * For lab operations, develop and update standard operating procedures (SOPs) for troubleshooting, repair, and validation workflows. * Collaborate with engineering, software, and data center operations teams to identify root causes of systemic failures and document remediations. * Participate in a rotating infrastructure on-call schedule (about one week every 4–6 weeks) with daytime coverage and handoff to the Europe team. What You’ll Bring to the Team: * Experience diagnosing and repairing high-density, rack-mounted compute hardware in production environments. * Deep understanding of GPU architectures and hands-on experience with GPU-based systems. * Experience supporting NVIDIA A100, H200, GB200, B200 and AMD 350X / 355X series platforms. * Familiarity with high-speed interconnects such as InfiniBand, NVLink, and RDMA over Converged Ethernet (RoCE). * Strong Linux experience (Ubuntu, Rocky Linux, CentOS) using the command line for diagnostics and testing. * Proficiency with GPU and system diagnostic tools such as NVIDIA DCGM and NVIDIA field diagnostic utilities. * Experience working with enterprise server hardware, power delivery, and cooling systems. * Strong analytical and problem-solving skills. * Excellent communication and collaboration skills. * Ability to work independently in a fast-paced data center or operations environment. Nice to Have: * Technical certification or Associate’s/Bachelor’s degree in Electrical Engineering, Computer Science, or a related field or demonstrated experience. * Experience working directly with hardware vendors and escalations. * Background in large-scale GPU fleet operations or hyperscale data center environments. Benefits: * Industry competitive pay * Restricted Stock Units in a fast growing, well-funded technology company * Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents * Employer contributions to HSA accounts * Paid Parental Leave * Paid life insurance, short-term and long-term disability * Teladoc * 401(k) with a 100% match up to 4% of salary * Generous paid time off and holiday schedule * Cell phone reimbursement * Tuition reimbursement * Subscription to the Calm app * MetLife Legal * Company paid commuter benefit; $300 per pay period Compensation Range: Compensation will be paid in the range of $172,000 - $209,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe Energy is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . CoreWeave, the AI Hyperscaler™, acquired Weights & Biases to create the most powerful end-to-end platform to develop, deploy, and iterate AI faster. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe, and was ranked as one of the TIME100 most influential companies of 2024. By bringing together CoreWeave's industry-leading cloud infrastructure with the best-in-class tools AI practitioners know and love from Weights & Biases, we're setting a new standard for how AI is built, trained, and scaled. The integration of our teams and technologies is accelerating our shared mission: to empower developers with the tools and infrastructure they need to push the boundaries of what AI can do. From experiment tracking and model optimization to high-performance training clusters, agent building, and inference at scale, we're combining forces to serve the full AI lifecycle — all in one seamless platform. Weights & Biases has long been trusted by over 1,500 organizations — including Nvidia, Canva, Cohere, Meta, Snowflake, Square, Toyota, and Amazon — to build better models, AI agents and applications. Now, as part of CoreWeave, that impact is amplified across a broader ecosystem of AI innovators, researchers, and enterprises. As we unite under one vision, we're looking for bold thinkers and agile builders who are excited to shape the future of AI alongside us. If you're passionate about solving complex problems at the intersection of software, hardware, and AI, there's never been a more exciting time to join our team. About the Role: As an AI Solutions Engineer you will sit at the intersection of cutting-edge AI infrastructure and the world's most ambitious AI teams. You will help customers design, deploy, and scale modern ML and GenAI systems using Weights & Biases and CoreWeave's AI cloud. This role combines hands-on technical depth with strategic customer engagement — ideal for AI practitioners who enjoy building real systems, solving complex problems, and shaping how AI is developed and operationalized at scale. What You'll Do: • Own the technical wins by building proof of value (PoVs). You'll be partnering with Account Executives to drive discovery, solution design, and successful technical evaluations., • Lead deep technical conversations with ML engineers, researchers, and platform teams to understand their AI/GenAI workloads and architect scalable solutions across the CoreWeave and Weights & Biases ecosystem ., • Design and deliver compelling live demos, proof-of-value engagements, and rapid prototypes showcasing experiment tracking, distributed training, agentic workflows, fine-tuning, evaluation, and inference at scale., • Architect modern ML and GenAI systems including distributed training, RAG pipelines, multi-agent systems, LLM fine-tuning workflows, and inference solutions., • Translate business objectives into measurable technical outcomes such as model quality improvements, cost reductions, performance gains, and faster iteration cycles., • Serve as a trusted technical advisor, influencing architectural decisions and best practices across MLOps, LLMOps, and platform engineering., • 2+ years of experience in Solutions Engineering, ML Engineering, AI Engineering, or a similar customer-facing technical role., • Strong proficiency in Python (bonus: TypeScript/JavaScript) and experience building production-grade ML or GenAI applications., • Hands-on experience training, fine-tuning, evaluating, debugging, and deploying deep learning or LLM-based systems., • Experience with modern GenAI architectures including retrieval-augmented generation (RAG), tool-using agents, evaluation frameworks, and guardrails., • Comfortable designing cloud-native architectures across AWS, GCP, or Azure, with working knowledge of containers, networking fundamentals, and security best practices., • Able to whiteboard distributed training or inference architectures and then implement working prototypes that demonstrate real customer value., • Excellent communication and storytelling skills, with the ability to translate complex technical concepts into business impact., • Experience building and evaluating agentic applications using frameworks such as LangChain, DSPy, LlamaIndex, CrewAI, OpenClaw, or similar ecosystems. Ability to quickly adapt to new frameworks is a huge plus., • Familiarity with vector databases, embeddings workflows, and LLM evaluation frameworks (e.g., Ragas, TruLens, DeepEval)., • Hands-on experience with Hugging Face Transformers, PEFT/LoRA/QLoRA fine-tuning, TRL, Unsloth, or similar fine-tuning stacks. Big plus if experience using RL to improve agentic systems., • Experience operating distributed workloads using Slurm, Ray, or Kubernetes., • Experience with inference optimization and serving frameworks such as vLLM, TensorRT-LLM, Triton, or TGI. What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description About us: Let's be real: AI isn't magic. Legion was built to slice through hype and deliver secure, dependable agentic systems that work alongside the people tackling the world's most critical challenges. Born from a DoW partnership and trusted by leaders across government and enterprise, Legion embeds intelligence inside complex systems—unlocking data, accelerating human workflows, and hardening mission-critical operations. From the forward edge to Fortune 500 back-offices, our agentic platform drops AI into the software people already use, optimizing—not replacing—workflows. With world-class collaborators like NVIDIA, HPE, Palantir, and Oracle, we're building infrastructure that boosts human capability everywhere it runs. We're looking for bold thinkers and doers to join us in shaping an AI future that's secure, grounded, and built to work. Role Overview: This senior product leadership role touches on all parts of Legion's platform, from applied AI to next-generation user experiences. You will focus on building delightful products that bring intelligent, agentic workflows to define the future of work in the enterprise. This role requires a unique balance of systems thinking, product intuition, and execution rigor. You'll partner closely across the business, including engineering and design, deployment, customer success, and marketing to ensure the success of agent-driven solutions from definition to launch and engagement. Due to Government contract requirements, we are only able to hire US citizens or Green Card holders. What you'll bring: • 6+ years designing and delivering enterprise products in a Product Management role, especially within large-scale enterprise applications., • Hands-on with AI capabilities, having a taste for how it can transform business processes., • Success in taking a data-driven approach and delivering impactful business results, • Proficiency in program/project management, and success in managing complex program/project deliverables across multiple teams, • Ability to make and represent trade-offs against product, technical, and business needs, • Ability to develop and execute a successful product roadmap, • Proven experience in defining big visions and inspiring teams to deliver innovative and impactful products, • Track record of working closely with customers, partners, listening, and taking a customer-focused approach to strategy and priorities - passion for the customer, • Excellent collaboration skills - leading execution across teams, influencing across organizations, • Inspiring communication skills - for small teams to executives and larger groups as well, • BS or MS degree in a technical field preferred, or equivalent work experience How you will lead: • Define and lead the vision and strategy for Legion's enterprise agent/workflow solutions, promoting growth and collaboration between humans and agents, • Provide product thought leadership in identifying critical customer requirements, understanding business goals, defining product end state, and working with both engineering and design in designing delightful experiences and scalable services, • Champion and evangelize the platform both internally and externally in key stakeholder meetings, product demos, conferences, and public forums, • Partner with marketing, customer success, and delivery teams to identify reusable product workflows and use cases, as well as optimizations for how we deploy and scale, • Drive with curiosity and clarity. Be a superuser of the platform, identify rough edges and boundaries, and proactively design for them. Use data, research, and competitive analysis to inform every execution step., • Balance high-velocity execution with delightful product experience and architectural rigor, moving from crisp specs to collaboration with engineering on tradeoffs and systemic improvements, • Operate with extreme ownership by seeing problems before they arise, clarifying ambiguity, and creating momentum that others rally around.Compensation Information$180,000—$240,000 USD

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: We are seeking a highly skilled and motivated GPU Fleet Operations Engineer to join Crusoe’s Fleet Operations team. This role is focused on the advanced diagnosis, maintenance, and repair of high-performance GPU compute clusters, ensuring maximum uptime, reliability, and performance across our fleet. The ideal candidate will be hands-on with GPU rack-level troubleshooting and work closely with data center operations, engineering, and vendors to support cutting-edge infrastructure featuring the latest NVIDIA and AMD GPUs. This position plays a critical role in maintaining the health and scalability of Crusoe’s rapidly growing GPU fleet. What You’ll Be Working On: * Perform deep-level diagnosis and troubleshooting of hardware faults within GPU racks and high-density compute systems. * Troubleshoot and support GPU platforms including NVIDIA A100, H200, GB200, B200 and AMD 350X / 355X. * Execute component-level diagnosis and remediation for failed or degraded hardware. * Partner with data center operations to manage and perform field-replaceable unit (FRU) repairs for GPUs, power supplies, cooling systems, interconnects, and networking hardware. * Conduct post-repair validation, burn-in testing, torch testing, and NVIDIA NCCL testing to ensure system stability and performance. * Implement and execute preventative maintenance procedures to improve fleet reliability and extend hardware lifespan. * Perform firmware and BIOS upgrades across the GPU fleet. * Maintain detailed documentation of maintenance activities, failures, and resolutions in ticketing and asset management systems. * Develop and update standard operating procedures (SOPs) for troubleshooting, repair, and validation workflows. * Collaborate with engineering, software, and data center operations teams to identify root causes of systemic failures and implement preventative solutions. * Participate in a rotating infrastructure on-call schedule (about one week every 4–6 weeks) with daytime coverage and handoff to the Europe team. What You’ll Bring to the Team: * Proven experience diagnosing and repairing high-density, rack-mounted compute hardware in production environments. * Deep understanding of GPU architectures and hands-on experience with GPU-based systems. * Experience supporting NVIDIA A100, H200, GB200, B200 and AMD 350X / 355X series platforms. * Familiarity with high-speed interconnects such as InfiniBand, NVLink, and RDMA over Converged Ethernet (RoCE). * Strong Linux experience (Ubuntu, Rocky Linux, CentOS) using the command line for diagnostics and testing. * Proficiency with GPU and system diagnostic tools such as NVIDIA DCGM and NVIDIA field diagnostic utilities. * Experience working with enterprise server hardware, power delivery, and cooling systems. * Strong analytical and problem-solving skills. * Excellent communication and collaboration skills. * Ability to work independently in a fast-paced data center or operations environment. Bonus Points: * Technical certification or Associate’s/Bachelor’s degree in Electrical Engineering, Computer Science, or a related field or demonstrated experience. * Experience working directly with hardware vendors and escalations. * Background in large-scale GPU fleet operations or hyperscale data center environments. Benefits: * Competitive compensation * Restricted Stock Units * Paid time off & paid holidays * Comprehensive health, dental & vision insurance * Employer contributions to HSA account * Paid parental leave * Paid life insurance, short-term and long-term disability * Professional development & tuition reimbursement * Mental health & wellness support * Commuter benefits (parking & transit) * Cell phone stipend * 401(k) Retirement plan with company match up to 4% of salary * Volunteer time off Compensation Range Compensation will be paid in the range of $183,000 - $210,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . CoreWeave, the AI Hyperscaler™, acquired Weights & Biases to create the most powerful end-to-end platform for AI development and deployment. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe, and was ranked as one of the TIME100 most influential companies of 2024. By bringing together CoreWeave's industry-leading cloud infrastructure with the best-in-class tools ML practitioners know and love from Weights & Biases, we're setting a new standard for how AI is built, trained, and scaled. The integration of our teams and technologies is accelerating our shared mission: to empower developers with the tools and infrastructure they need to push the boundaries of what AI can do. From experiment tracking and model optimization to high-performance training clusters and inference at scale, we're combining forces to serve the full AI lifecycle — all in one seamless platform. Weights & Biases has long been trusted by over 1,000 organizations — including OpenAI, NVIDIA, Microsoft, and Toyota — to build better models. Now, as part of CoreWeave, that impact is amplified across a broader ecosystem of AI innovators, researchers, and enterprises. As we unite under one vision, we're looking for bold thinkers and agile builders who are excited to shape the future of AI alongside us. If you're passionate about solving complex problems at the intersection of software, hardware, and machine learning, there's never been a more exciting time to join our team. What You'll Do: As the Manager of the Forward Deployed Engineering (FDE) team, you will lead a team of customer-facing engineers who embed with customer AI organizations to help them design, prototype, and productionize AI agents using the W&B platform. You'll be responsible for building a high-performing FDE function that drives customer outcomes, accelerates product adoption, and creates durable feedback loops into Product and Engineering. About the role: • Lead and develop a team of Forward Deployed Engineers supporting customers building AI agents with W&B Weave (hiring, onboarding, coaching, performance management)., • Own delivery quality and customer outcomes by scoping engagements, setting success criteria, and ensuring successful deployments in customer environments., • Drive technical excellence by standardizing best practices and producing reusable assets (reference implementations, demos, example projects)., • Create a strong product feedback loop by synthesizing field learnings and partnering with Product/Engineering to influence the Weave roadmap., • Strong engineering background with expertise in Python and modern ML/AI frameworks (e.g., PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, etc.)., • Hands-on experience with LLMs, AI agents, and/or orchestration frameworks, including deploying real systems beyond prototypes., • Experience leading or mentoring technical teams in high-ownership environments., • Prior experience working directly with customers in technical consulting, solutions engineering, forward deployed, or similar roles., • Excellent communication skills: able to translate complex technical concepts to both technical and business stakeholders and drive alignment in ambiguous situations., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at You'll Do Our Networking team is at the heart of CoreWeave's High-Performance Computing (HPC) infrastructure. We design, build, and operate large-scale, low-latency, high-throughput networks that power some of the most demanding AI and HPC workloads in the world. As we scale, networking is not just a backbone — it's a differentiator in performance, efficiency, and reliability. About the role: As the Director of HPC Network Infrastructure, you will lead the design, deployment, and optimization of CoreWeave's global high-performance networking stack. You'll be responsible for advancing our network architecture to support hyperscale GPU clusters, low-latency interconnects, and petabyte-scale data movement across data centers. This is a hands-on leadership role where you will guide teams in building the next generation of networking systems for HPC and AI workloads. You will collaborate closely with infrastructure, systems, and AI platform teams to ensure that our network consistently delivers world-class performance and reliability at scale. Who you are: • 10+ years of experience in network engineering with at least 5+ in leadership roles., • Prior experience leading networking for cloud-scale HPC or GPU-accelerated platforms. We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. • You love solving complex problems at scale in HPC and AI infrastructure., • You're curious about the future of networking and how it unlocks new AI and HPC capabilities., • You're an expert in architecting and delivering networks that push the boundaries of performance and reliability. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Velia Multiservices is proud to partner with a fast-growing, early-stage startup to identify a top-tier Site Reliability Engineer who will play a critical role in scaling and strengthening a high-performance platform used by enterprise clients such as Nvidia, Samsara, Zapier, and PwC. This is a unique opportunity to work closely with founding leadership and take ownership of reliability and performance at scale. Key Responsibilities Own the reliability, availability, and performance of the platform, ensuring a seamless experience for enterprise customers Work directly with customers to investigate, troubleshoot, and resolve complex production issues Identify and debug system-level problems, including memory leaks, connection pool inefficiencies, and other critical failures Proactively implement improvements to enhance system stability and prevent recurring issues Conduct system profiling, benchmarking, and performance tuning to optimize latency and throughput Collaborate cross-functionally in a fast-paced startup environment to deliver scalable and resilient solutions Qualifications Experience working with Kubernetes and building/maintaining distributed systems Familiarity with modern backend frameworks such as FastAPI Proven experience working with large-scale, production environments Strong programming expertise in Python, C, or Rust Deep understanding of system performance, observability, and debugging techniques Experience identifying and resolving issues related to memory management, networking, and system reliability Ability to work directly with customers and communicate technical issues effectively Comfortable operating in a fast-paced, early-stage startup environment with a high level of ownership Nice to Have Experience with PostgreSQL and Redis Familiarity with monitoring and observability tools such as Prometheus and Grafana Additional hands-on experience scaling systems in cloud-native environments Why Join Direct impact on a rapidly growing product serving leading enterprise organizations Opportunity to work alongside founders and influence technical direction High ownership role with visibility and career growth potential