Senior Data Center Cooling Systems Engineer Jobs

At Kargo, our mission is to build a connective tissue between the physical world of freight and the digital ecosystem used to manage it. We believe that advancements in smart infrastructure are critical to enabling a safer and more efficient future for logistics. Our loading dock sensor platform verifies all incoming and outgoing freight, aggregating data that enables shippers and carriers to efficiently manage dock operations, switch out suppliers and understand material flow in real time. We care deeply about delivering the best solutions for our customers. As a member of the Kargo team, you will have the opportunity to develop and deploy tomorrow’s hardware & software solutions and help revolutionize logistics. Responsibilities Identify and recruit partners aligned with our core markets in the logistics and automation space who can benefit from adding autonomous inventory monitoring. Work alongside our sales team to navigate complex enterprise deals, ensuring the value proposition of real-time warehouse visibility is clearly communicated. Lead technical and commercial workshops to ensure partners can confidently pitch, demo, and support Kargo's platform. Collaborate with partners to ensure Kargo's data feeds seamlessly into their customers' existing Warehouse Management Systems (WMS) and ERP platforms. Collaborate with our customer success and deployment teams to ensure successful partner-led implementations. Enable partners to successfully position, sell, implement and support Kargo's solutions. Establish partner success metrics, track performance, and continuously optimize the ecosystem. Experience 5+ years experience in channel sales, partnerships or business development, specifically within B2B Supply Chain Tech, Robotics, or Industrial AI. Deep understanding of warehouse operations, inventory accuracy challenges (shrinkage, misplacements), and the 3PL landscape. Experience discussing AI concepts like Computer Vision, Edge Computing, and API integra

As part of the Advanced Hardware Manufacturing Operations team, you will be a vital part of the Zoox Manufacturing organization responsible for building, testing, troubleshooting complex software controlled electro-mechanical sensing elements critical to Zoox’s Robo Taxi. Our team has a collaborative resilient culture marked by being curious and by an energetic approach to bring the Robo Taxi to life. You’ll be part of a passionate team dedicated to building the future of transportation. In this leadership role, you will be responsible for overseeing quality control activities for the camera, LiDAR, sensor pod and primary compute production line, ensuring compliance with standards, internal procedures, and leading a team of technicians. This role involves managing and supervising Quality employees, analyzing KPI data, implementing improvements, and providing technical guidance to the team while maintaining compliance to quality standards. In this role, you will: Provide effective supervision, mentoring and coaching to assigned employees to achieve the required quality and production goals. Supervise compliance adherence of the movement (physical and virtual) of products through the production area. Perform all personnel-related functions related to quality staff, including hiring, training, and performance evaluations. Plan and organize work to ensure delivery deadlines are met. Be the Data Steward for Manufacturing Quality on serialized production Work with the Operations. Logistics, Supplier Quality, Engineering and Manufacturing team to ensure accurate ERP transactions, documentation and proper maintenance of quality records in compliance with internal procedures, policies and regulatory requirements. Analyze and report Quality KPIs Partner with Manufacturing System Data team in resolving ERP show stoppers and improving

At Kargo, our mission is to build a connective tissue between the physical world of freight and the digital ecosystem used to manage it. We believe that advancements in smart infrastructure are critical to enabling a safer and more efficient future for logistics. Our loading dock sensor platform verifies all incoming and outgoing freight, aggregating data that enables shippers and carriers to efficiently manage dock operations, switch out suppliers and understand material flow in real time. We care deeply about delivering the best solutions for our customers. As a member of the Kargo team, you will have the opportunity to develop and deploy tomorrow’s hardware & software solutions and help revolutionize logistics. Responsibilities Develop revenue-generating strategic partnerships to help grow Kargo across existing and new product lines. Identify and incubate areas of potential development and growth where we have potentially strong product/market fit. Develops prospect and account relationships at an executive level as well as with appropriate influencers within the customer base and understands customer applications, processes, and business model. Develop presentations, conducts and participates in meetings with prospective and existing clients. Close large strategic deals that have a major impact on the company. Ability to travel greater than 50% of time. Experience 2+ years experience in business development at a mid-market company or related role. Creative dealmaker with a track record of conceiving and closing mid-market partnerships. Strong analytical skills with the ability to build strategy and optimize customers using a metrics-driven approach. Manufacturing or Industrial Logistics domain expertise preferred. A passion for the customer with a strong commitment to offering solutions to their problems. Ability to manage multiple tasks and achieve quality results on time, while working under tight deadlines. Self-motivated with demo

At Kargo, our mission is to build a connective tissue between the physical world of freight and the digital ecosystem used to manage it. We believe that advancements in smart infrastructure are critical to enabling a safer and more efficient future for logistics. Our loading dock sensor platform verifies all incoming and outgoing freight, aggregating data that enables shippers and carriers to efficiently manage dock operations, switch out suppliers and understand material flow in real time. We care deeply about delivering the best solutions for our customers. As a member of the Kargo team, you will have the opportunity to develop and deploy tomorrow’s hardware & software solutions and help revolutionize logistics. Responsibilities Owning content strategy and telling the Kargo story, engaging our audience and scaling the way Kargo connects with the world across channels (e.g. email, social, website, blogs, and content-driven campaigns). Manage the full lifecycle of content distribution from concept and copywriting, to scheduling, publishing, and performance optimization. Create a variety of high quality content: case studies, SEO posts, sales collateral, presentation decks, webinar decks/scripts, blog posts, landing pages, newsletters, event and webinar copy, and more. Capture customer success stories highlighting the impact of their partnership with Kargo. Maintain a library of up-to-date materials (one-pagers, email templates, ad copy, pitch decks, etc) to support sales and marketing. Track, test, iterate and optimize campaign messaging based on performance and feedback. Experience 5+ years experience in content marketing, copywriting, or related experience. Excellent writing and storytelling skills: able to make complex ideas simple and compelling. Ability to think creatively and bring out of the box ideas. Ability to work under tight deadlines while being flexible and responding to changing requirements. Bachelor's Degree in Marketing, Communications, E

At Kargo, our mission is to build a connective tissue between the physical world of freight and the digital ecosystem used to manage it. We believe that advancements in smart infrastructure are critical to enabling a safer and more efficient future for logistics. Our loading dock sensor platform verifies all incoming and outgoing freight, aggregating data that enables shippers and carriers to efficiently manage dock operations, switch out suppliers and understand material flow in real time. We care deeply about delivering the best solutions for our customers. As a member of the Kargo team, you will have the opportunity to develop and deploy tomorrow’s hardware & software solutions and help revolutionize logistics. Responsibilities Support sustaining engineering for existing products. Support development efforts on next generation products. Manage rapid prototyping efforts in machine shop. Develop CAD models and simulations in the designs of your responsible parts. Design fixtures and test set ups to validate designs. Document designs and test results. Draft drawings for all responsible parts and integrate into PLM. Experience 2+ years experience in Mechanical Design or related role. Strong fundamentals in mechanical engineering first principles. Experienced in CAD software (SolidWorks preferred). Experienced in using SolidWork PDM and PLM softwares (Arena preferred). Experience in Design for Manufacturing principles. Experienced in electronics packaging design. (Preferred) Experience in optics design cameras and/or lighting. (Preferred) Structural or thermal design and simulation experience. Bachelor's Degree in Mechanical Engineering or related technical discipline. Pay Range $130,000 — $170,000 USD Kargo is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, g

At Kargo, our mission is to build a connective tissue between the physical world of freight and the digital ecosystem used to manage it. We believe that advancements in smart infrastructure are critical to enabling a safer and more efficient future for logistics. Our loading dock sensor platform verifies all incoming and outgoing freight, aggregating data that enables shippers and carriers to efficiently manage dock operations, switch out suppliers and understand material flow in real time. We care deeply about delivering the best solutions for our customers. As a member of the Kargo team, you will have the opportunity to develop and deploy tomorrow’s hardware & software solutions and help revolutionize logistics. Responsibilities Work with Account Executives and commercial leadership to drive outbound prospecting activities, including cold calling, emailing, and communicating our value proposition to decision makers. Leverage prospecting tools to research companies and identify key decision makers at new accounts. Craft targeted outreach approaches and collaborate with the sales team to source prospective clients. Book meetings with prospective customers within a defined ICP (ideal customer profile). Experience 2+ years experience in sales, business development, or in client success preferred, but not required. You enjoy building lasting relationships and can build rapport quickly. Manufacturing or Industrial Logistics domain expertise preferred. Enterprise account and/or Global account expertise preferred. A passion for the customer with a strong commitment to offering solutions to their problems. Ability to manage multiple tasks and achieve quality results on time, while working under tight deadlines. Competitive, self-starter and works well within a team environment. High level of interest in technology and supply chain management. Bachelor's Degree or the equivalent experience in a technical discipline preferred. OTE Pay Range $100,000 — $

At Kargo, our mission is to build a connective tissue between the physical world of freight and the digital ecosystem used to manage it. We believe that advancements in smart infrastructure are critical to enabling a safer and more efficient future for logistics. Our loading dock sensor platform verifies all incoming and outgoing freight, aggregating data that enables shippers and carriers to efficiently manage dock operations, switch out suppliers and understand material flow in real time. We care deeply about delivering the best solutions for our customers. As a member of the Kargo team, you will have the opportunity to develop and deploy tomorrow’s hardware & software solutions and help revolutionize logistics. Responsibilities Develop revenue-generating strategic partnerships to help grow Kargo across existing and new product lines. Identify and incubate areas of potential development and growth where we have potentially strong product/market fit. Develops prospect and account relationships at an executive level as well as with appropriate influencers within the customer base and understands customer applications, processes, and business model. Develop presentations, conducts and participates in meetings with prospective and existing clients. Close large strategic deals that have a major impact on the company. Ability to travel greater than 50% of time. Experience 5+ years experience in business development at an enterprise company or related role. Creative dealmaker with a track record of conceiving and closing large enterprise partnerships. Strong analytical skills with the ability to build strategy and optimize customers using a metrics-driven approach. Manufacturing or Industrial Logistics domain expertise preferred. Enterprise account and/or Global account expertise preferred. A passion for the customer with a strong commitment to offering solutions to their problems. Ability to manage multiple tasks and achieve quality res

At Kargo, our mission is to build a connective tissue between the physical world of freight and the digital ecosystem used to manage it. We believe that advancements in smart infrastructure are critical to enabling a safer and more efficient future for logistics. Our loading dock sensor platform verifies all incoming and outgoing freight, aggregating data that enables shippers and carriers to efficiently manage dock operations, switch out suppliers and understand material flow in real time. We care deeply about delivering the best solutions for our customers. As a member of the Kargo team, you will have the opportunity to develop and deploy tomorrow’s hardware & software solutions and help revolutionize logistics. Responsibilities Travel to customer facilities and lead inspection, installation, and servicing visits for Kargo’s customers. Install Kargo towers and other hardware products at customer facilities. Coordinate with contractors at customer sites for electrical work, forklift modifications, and installation assistance. Coordinate tower and tool shipping from Kargo inventory to customer sites. Work with Manufacturing to provide configs and specs determined from site visits to customers. Work with our Product and Hardware teams to make engineering recommendations to simplify installation and relevant features. Interact with customers at on-site visits. This is not a sales role and most customer visits will include people from Kargo’s Sales, Product, and Customer Success teams. Still, this role will involve coordinating with customers to discuss timing and installation preferences. High expectation for travel, you must be comfortable with near 90% travel. Experience 3+ years of experience servicing industrial equipment, vehicles, utilities, robots, or similar. Expertise in mechanical, electrical, and optical troubleshooting. Preference for someone who has worked across all three systems. High availability for short-

Leidos’ Integrated Airborne Solutions currently has an opening for a Field Service Representative to work out of our Bridgewater, Virginia office. The job of the Systems Engineer is to provide onsite and remote support for multiple manned aerial ISR platforms to our customers at CONUS and OCONUS locations. We are looking for motivated self-starters who want to join a team dedicated to excellence and continuous progress. Candidates should have prior experience with Full Motion Video, Video Distribution, Tactical Radios, and IT Principles. Primary Responsibilities Will collect, maintain, service, troubleshoot, test and compile technical data for aircraft mission equipment suite/ Government Furnished Equipment (GFE) to include, but not limited to; tactical communications BLOS/VULOS (KOR-24, PRC-117, PRC-152, PRC-167, ARC-231), CTDLs (Link-16, BFT/FBCB2), LOS Datalinks (Vortex, MANeT) cryptographic equipment (CSEC), keying data transfer devices (DTDs), IP networking and sub-netting, EO/IR, SIGINT, BLOS and PPL. Implement established configuration management, safety and quality assurance processes IAW AS9100D and contractual requirements. Maintain Tactical communications system suites to include applicable CSEC as required. Engineer, monitor, manage, and troubleshoot internal and external networks to include encryptors, firewalls, routers, and switches Assess, develop, perform and document preventative maintenance checks for all mission equipment as required to maintain mission operations in a harsh environment. Develop, maintain and troubleshoot on-site Sensor Integration Lab (SIL) to promote mission readiness and mission equipment scalability as required. Perform software patching and troubleshoot various Microsoft and Linux products as required to maintain mission operations. Implement, and troubleshoot active directory, group policy, and DNS Create documentation on new technolo

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. Location : Bengaluru (On-site) + multi-city coordination Instawork Robotics Lab (IRL) Robots are getting smarter, but they still can’t reliably do the everyday physical tasks people do — chopping vegetables, stocking shelves, assembling parts. The bottleneck is data. UC Berkeley’s Prof. Ken Goldberg calls it the “100,000-year data gap”: the chasm between the massive text datasets used to train language models and the tiny amount of real-world, physical-dexterity data available to train robots. The entire robotics industry collected only ~100,000 hours of training data in 2024 and ~1 million in 2025 — and even the ~20 million hours projected for 2026 is still less than 0.04% of what is ultimately needed. IRL exists to close that gap. Using Instacore — a wearable multi-camera and sensor system (head, chest, and wrist cameras plus IMUs and a compute pack) — our field teams capture synchronized, high-diversity egocentric data of real people doing real tasks across real commercial environments: kitchens, warehouses, hotels, retail, and light manufacturing. That data is quality-checked, anonymized, and delivered to the world’s leading robotics companies and foundation-model labs to teach robots how to operate in the messy physical world. In India, we run the on-ground engine of this mission — a growing fleet of Instacore rigs, Field Officers and Data Collectors, regional hubs, and the operations and finance backbone that keeps it

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. Instawork Robotics Lab (IRL) Robots are getting smarter, but they still can’t reliably do the everyday physical tasks people do — chopping vegetables, stocking shelves, assembling parts. The bottleneck is data. UC Berkeley’s Prof. Ken Goldberg calls it the “100,000-year data gap”: the chasm between the massive text datasets used to train language models and the tiny amount of real-world, physical-dexterity data available to train robots. The entire robotics industry collected only ~100,000 hours of training data in 2024 and ~1 million in 2025 — and even the ~20 million hours projected for 2026 is still less than 0.04% of what is ultimately needed. IRL exists to close that gap. Using Instacore — a wearable multi-camera and sensor system (head, chest, and wrist cameras plus IMUs and a compute pack) — our field teams capture synchronized, high-diversity egocentric data of real people doing real tasks across real commercial environments: kitchens, warehouses, hotels, retail, and light manufacturing. That data is quality-checked, anonymized, and delivered to the world’s leading robotics companies and foundation-model labs to teach robots how to operate in the messy physical world. In India, we run the on-ground engine of this mission — a growing fleet of Instacore rigs, Field Officers and Data Collectors, regional hubs, and the operations and finance backbone that keeps it all running at quality and scale. Role Overview The Finance Associat

Ignite your curiosity. Solve the unsolvable. At Leidos, we do more than write code—we decode the unknown. Our San Diego-based research and engineering team takes on some of the nation’s toughest defense challenges using advanced signal processing, ocean remote sensing, and high-performance computing. We’re seeking a Software Engineer / Computer Scientist who enjoys solving complex problems and pushing the limits of performance. In this role, you’ll work alongside a multidisciplinary team of scientists and engineers with expertise in hydrodynamics, physics, acoustics, and signal processing to build impactful software that turns massive, complex data sets into meaningful insight. If you are motivated by innovation, energized by collaboration, and excited to see your work support real-world missions, this could be the right opportunity for you. What You’ll Do Collaborate with scientists and engineers to design, develop, and optimize advanced algorithms for next-generation radar, optical, and infrared sensor systems. Build scalable, high-performance backend systems for scientific computing in distributed environments. Integrate, refactor, and improve scientific codebases to increase efficiency and scalability. Translate and optimize existing code for GPU/CUDA acceleration and parallel or distributed execution. Test, document, maintain, and enhance complex software in Linux/Unix environments. Contribute in a collaborative environment that values technical excellence, creativity, and continuous growth. Required Qualifications Bachelor’s degree in Computer Science, Applied Mathematics, Physics, or a related field with 4+ years of backend software development experience, or a Master’s degree with 2+ years of experience. Equivalent experience may be considered in place of a degree. U.S. citizenship and the ability to obtain a Top Secret clearance; active Top Secret clea

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is building an AI-forward autonomy stack for contested environments where GPS and other sensing are unavailable or unreliable. As a Perception Engineer, you will design, train, and deploy state-of-the-art vision and multi-sensor perception systems that enable navigation, targeting, and automatic target recognition on our product lines. You’ll work across deep learning, computer vision, and embedded systems to bring research-grade algorithms to real-world deployments. Key Responsibilities Build and refine detection/segmentation/tracking architectures (CNN/Transformer) for EO/IR and multi-spectral imagery; drive foundation-scale datasets, training recipes, and robust generalization to long-tail and degraded conditions. Stand up training/eval pipelines (PR/ROC, mAP, latency, robustness suites); implement continuous regression testing and model-update loops from field data. Optimize models for real-time embedded inference (quantization/pruning, TensorRT/ONNX Runtime), profile CPU/GPU, and meet tight throughput/latency targets on Jetson-class hardware. Combine vision outputs with auxiliary sensing (e.g., radar/LiDAR/RF cues) for confirm/deny, association, and track management using decision-level fusion. Create visualization, triage,

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is building an AI-forward autonomy stack for contested environments where GPS and other sensing are unavailable or unreliable. As a Machine Learning Engineer, you will own and scale the training, data, and edge-inference backbone that every vision and multi-sensor model on our product lines depends on for detection, tracking, search, navigation, targeting, and automatic target recognition. This is a broad, high-ownership role: you'll stand up the data and training infrastructure that lets the autonomy team iterate fast, generate synthetic data to cover the long tail, and get research-grade models running in real time on embedded hardware in flight. We are generalists, so you'll move fluidly between infrastructure, modeling, and deployment. Key Responsibilities Own and evolve the training and data infrastructure the autonomy team builds on: ingestion from flight/sim/HITL, curation and mining, labeling/QA workflows, dataset versioning (DVC/Parquet), and reproducible dataset builds. Stand up and scale training/eval infrastructure: distributed multi-GPU training, experiment tracking, a model registry, and CI-based evaluation with regression gates plus automated field-data to retrain to validate to redeploy loops. Deploy and opt

What you’ll do Be the generalist EE for the scanner system: integration, bring-up, debugging, and making the electrical side of the device reliable and serviceable. Own ultrasound experimentations that feeds the image reconstruction team Design and execute experiment setups for transducer characterization (element sensitivity, bandwidth, cross-talk mapping, beam profile measurements) and ex vivo / phantom clinical testing. Acquire, process, and analyze RF and baseband signals for data quality assessment and benchmarking. Design simple boards and adapters as needed (monitoring, power/safety, interface/conditioning), and take them from prototype through a stable revision. Prototype quickly, then harden what works: wiring/harnessing, grounding, safety interlocks, and reliable integration across subsystems. Own practical test setups and documentation (fixtures, scripts, procedures) that make experiments repeatable and results comparable over time. What we’re looking for Strong hands-on EE background with experience building, debugging, and iterating on real systems in the lab. Solid understanding of signal processing fundamentals — knows what to measure, how to condition and digitize it, and how to evaluate signal quality in the context of an imaging system (SNR, bandwidth, dynamic range, artifacts). Comfortable spanning system integration + occasional design work (schematics/layout reviews or light PCB design) in a fast-moving environment. Ability to work at the boundary between hardware and algorithms: measure reality, communicate constraints, and help close gaps vs simulation. High agency and practicality: able to set up experiments, get trustworthy data, and unblock others on a lean team. Useful experience Analog/mixed-signal, or high-speed data capture experience; strong instincts for instrumentation and noise/debugging. Ultrasound or acoustic sensor handling: hydrophone calibration and field mapping, transducer impedance characterization, element-level sensitivity