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Job DescriptionJob Description FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. Hardware Team: The Hardware Team at Field AI develops perception and compute payloads that power autonomous robotics systems in complex real-world environments. Our work spans the full hardware stack designing and integrating sensing systems (LiDAR, camera, TOF, IMU, GPS), embedded compute (CPUs, GPUs, microcontrollers, Linux, ROS), electrical systems (power distribution, communication), and mechanical components (structures, thermal regulation, ingress protection). The team focuses on both development (research, design, prototyping, testing) and operations (production, testing, QA, debugging). We're a small, fast-moving team, and we care deeply about improving: 1) core capabilities, 2) system reliability, 3) system scalability. As a growing team we are also building operational systems and procedures from the ground up. Embedded Compute Role: As an Embedded Compute Engineer on the Hardware Team at Field AI, you will contribute to the architecture, configuration, and validation of the compute systems that serve as the backbone for our robotic platforms. Your work will span low-level firmware, Linux-based configuration, and system performance analysis across ARM and x86 SBC platforms. From firmware on microcontrollers to ROS data streams on SBCs, you'll ensure the entire compute stack is optimized, reliable, and robust under field conditions. You will collaborate closely with the sensor, electrical, and autonomy teams to build tightly integrated solutions ready for deployment in challenging field environments. Additionally, while your focus will be on computing systems you will likely contribute across all hardware domains. What You Will Get To Do 1. Compute System Design Compute Architecture: Architect and configure embedded compute platforms (ARM/x86, SBCs) for robotic applications including evaluation, testing and selection. Firmware & Software: Set up and customize Linux environments (Ubuntu, Yocto, JetPack), middleware (ROS), and I/O interfaces. Systems Integration: Integrate compute with sensing and robotic systems. Analyze thermal, power, and bandwidth constraints to meet deployment and runtime requirements. 2. Compute System Implementation Communications: Bring up sensors and peripherals using a range of protocols (USB, Ethernet, GMSL, I C, SPI, CAN). Data Pipelines: Build and maintain drivers, ROS nodes, and data acquisition pipelines for new hardware components. Systems Configuration: Create configuration files, launch scripts, and firmware update workflows. Testing: Conduct system-level tests such as thermal profiling, latency measurement, and power draw analysis. Documentation & Budgets: Maintain flashing procedures, I/O maps, and debug kits. Manage compute and I/O budgets. 3. Compute System Production & Servicing Build: Work with vendors to procure compute hardware. Develop QA checks for incoming units. Support payload integration and scaling. Debug: Support root-cause analysis for boot, connectivity, and throughput issues. Diagnostics Monitoring: Implement watchdogs, health checks, and other evaluation tools. Monitor compute system performance across CPU, GPU, memory, I/O, and networking. What You Have Education: B.S., M.S., or Ph.D. in Computer Engineering, Robotics, Electrical Engineering, or a related field. Experience Level: We are recruiting across a wide range of experience levels from entry level engineers to senior and staff engineers. Embedded Systems: Experience with embedded platforms (Jetson, Raspberry Pi, x86 NUCs, custom SBCs). Linux: Proficiency with Linux system configuration, scripting, and headless deployment tools. Firmware: Strong skills in firmware development for microcontrollers, including bare-metal and RTOS environments. Programming: Proficient in C++ and Python for embedded and application-level development. Communication Protocols: Experience with USB, Ethernet, I C, SPI, CAN, GMSL, and similar interfaces. ROS Ecosystem: Familiarity with ROS, device drivers, TF, and data streaming/publishing. Debugging: Comfort with hardware/software debugging tools (oscilloscopes, logs, power monitors, analyzers). Systems Thinking: Ability to diagnose and optimize across compute, thermal, timing, and I/O layers. What Will Set You Apart Scaling: Experience taking systems from prototype to large scale production. Field Environments: Experience developing systems for harsh field environments. Deployed Robotics: Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots. Systems Level Robotics: Fluency across software, electrical, and mechanical systems. Autonomy Software: Knowledge of autonomy stacks used in robotics. As well as how compute performance impacts autonomy algorithms. Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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 DescriptionJob Description Join ClearEdge on our prime contract with a hybrid schedule and help solve some of the DoD's most complex technical challenges. Every day, we empower our government and industry partners with data-driven innovations that make a real impact. Check out our extremely competitive benefits package at , which includes a $10k annual training/education benefit, 10% 401k contribution, health and technology allowance, and access to a state-of-the-art technology lab. We also offer monthly TechConnect and DeepDive collaboration sessions with our entire technical staff. Your Mission As a Senior Software Engineer you will architect, develop, maintain, and enhance complex software systems supporting our critical environments. You will work across the full software development lifecycle, delivering scalable solutions for processing-intensive analytics, large data sets, real-time systems, and enterprise applications. In this role, you will collaborate with engineers, stakeholders, and customers to design high-performing software solutions, evaluate technical trade-offs, and implement reusable, modular components that support multiple applications and mission needs. Your expertise will help drive performance optimization, technical innovation, and long-term system sustainability. You Will Excel in This Role If You: Have extensive experience designing and developing full-stack software solutions Enjoy solving complex performance and scalability challenges Are proficient with modern JavaScript frameworks such as React, Vue, or Angular Have strong object-oriented development experience using Java and JavaScript Understand how to design modular, reusable software components Can balance technical excellence with customer-focused solution delivery Enjoy mentoring developers and influencing technical direction across teams A Day in the Life: Designing, developing, and maintaining full-stack software applications Building reusable and modular software components that support multiple systems Developing user-facing applications using modern JavaScript frameworks Implementing and optimizing backend services using object-oriented programming principles Evaluating software architecture and recommending performance improvements Collaborating with engineers and stakeholders to define requirements and technical solutions Reviewing code, testing software components, and resolving software defects Supporting software delivery and sustainment through modern development practices What We Are Expecting From You: TS/SCI with polygraph clearance Fifteen (15) or more years of experience architecting, developing, and maintaining software solutions with an emphasis on performance optimization Bachelor's or advanced degree in Computer Science, Computer Engineering, or a related technical discipline Five (5) additional years of experience may substitute for a Bachelors Degree Experience with all aspects of full-stack software development Experience with modern JavaScript frameworks such as React, Vue, or Angular Experience developing software using object-oriented languages such as Java and JavaScript Experience designing and developing modular, reusable software components Familiarity with Section 508 accessibility requirements Experience working throughout the software development lifecycle, including design, testing, deployment, and sustainment Nice to Have: Experience developing web-based geospatial applications using tools such as Leaflet.js Technical leadership, team lead, or mentoring experience Proactive technical customer service and stakeholder engagement experience Experience optimizing solutions across multiple applications, teams, or technology ClearEdge is an established small business that values its employees and is committed to providing an environment where individuals can succeed and grow. We believe in developing our people, promoting from within, and fostering long-term career growth across the organization. Our Core Values of Honesty, Integrity, Loyalty, Fairness, Respect, Responsibility, and Accountability drive our mission and vision and are the heart of what we do each day. We combine our Core Values with the three key elements of people, technology, and integrity to repeatedly deliver stellar results within our primary competencies. If this position does not fit your skillset, please visit our Careers page to explore our current openings, or contact a ClearEdge recruiter at . ClearEdge is an equal opportunity employer.

Job DescriptionJob Description Join ClearEdge on our prime contract with a hybrid schedule and help solve some of the DoD's most complex technical challenges. Every day, we empower our government and industry partners with data-driven innovations that make a real impact. Check out our extremely competitive benefits package at , which includes a $10k annual training/education benefit, 10% 401k contribution, health and technology allowance, and access to a state-of-the-art technology lab. We also offer monthly TechConnect and DeepDive collaboration sessions with our entire technical staff. Your Mission As a Senior Software Engineer you will architect, develop, maintain, and enhance complex software systems supporting our critical environments. You will work across the full software development lifecycle, delivering scalable solutions for processing-intensive analytics, large data sets, real-time systems, and enterprise applications. In this role, you will collaborate with engineers, stakeholders, and customers to design high-performing software solutions, evaluate technical trade-offs, and implement reusable, modular components that support multiple applications and mission needs. Your expertise will help drive performance optimization, technical innovation, and long-term system sustainability. You Will Excel in This Role If You: Have extensive experience designing and developing full-stack software solutions Enjoy solving complex performance and scalability challenges Are proficient with modern JavaScript frameworks such as React, Vue, or Angular Have strong object-oriented development experience using Java and JavaScript Understand how to design modular, reusable software components Can balance technical excellence with customer-focused solution delivery Enjoy mentoring developers and influencing technical direction across teams A Day in the Life: Designing, developing, and maintaining full-stack software applications Building reusable and modular software components that support multiple systems Developing user-facing applications using modern JavaScript frameworks Implementing and optimizing backend services using object-oriented programming principles Evaluating software architecture and recommending performance improvements Collaborating with engineers and stakeholders to define requirements and technical solutions Reviewing code, testing software components, and resolving software defects Supporting software delivery and sustainment through modern development practices What We Are Expecting From You: TS/SCI with polygraph clearance Fifteen (15) or more years of experience architecting, developing, and maintaining software solutions with an emphasis on performance optimization Bachelor's or advanced degree in Computer Science, Computer Engineering, or a related technical discipline Five (5) additional years of experience may substitute for a Bachelors Degree Experience with all aspects of full-stack software development Experience with modern JavaScript frameworks such as React, Vue, or Angular Experience developing software using object-oriented languages such as Java and JavaScript Experience designing and developing modular, reusable software components Familiarity with Section 508 accessibility requirements Experience working throughout the software development lifecycle, including design, testing, deployment, and sustainment Nice to Have: Experience developing web-based geospatial applications using tools such as Leaflet.js Technical leadership, team lead, or mentoring experience Proactive technical customer service and stakeholder engagement experience Experience optimizing solutions across multiple applications, teams, or technology ClearEdge is an established small business that values its employees and is committed to providing an environment where individuals can succeed and grow. We believe in developing our people, promoting from within, and fostering long-term career growth across the organization. Our Core Values of Honesty, Integrity, Loyalty, Fairness, Respect, Responsibility, and Accountability drive our mission and vision and are the heart of what we do each day. We combine our Core Values with the three key elements of people, technology, and integrity to repeatedly deliver stellar results within our primary competencies. If this position does not fit your skillset, please visit our Careers page to explore our current openings, or contact a ClearEdge recruiter at . ClearEdge is an equal opportunity employer.

Job DescriptionJob Description Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. We're proud to boast a world-class engineering team that thrives on rolling up their sleeves to solve your mission's biggest challenges. Dark Wolf is seeking a highly skilled Senior AI Engineer to architect, build, and deploy advanced, secure AI-driven solutions supporting federal and defense enterprises. In this role, you will tackle enterprise data fragmentation by designing automated data ingestion pipelines, Retrieval-Augmented Generation (RAG) architectures, and predictive analytics tools. You will directly address critical operational areas including HR workforce analytics, enterprise workflow automation, program management analytics, and automated scientific literature discovery. Key Responsibilities: Architect and implement Retrieval-Augmented Generation (RAG) systems and Large Language Model (LLM) agents to query, summarize, and synthesize insights across large volumes of structured and unstructured data. Build semantic search engines capable of integrating internal legacy databases, data lakes, open-source repositories, and subscription-based scientific literature via APIs. Implement natural language translation, automated document classification, and multi-document summarization to augment science and technology gap analysis. Develop intelligent chatbots and virtual agents to deliver automated, role-based recommendations, career path mapping, and skills gap analysis for enterprise workforces. Build NLP-driven tasking models to ingest natural language inquiries, query underlying enterprise data sources, and draft contextual responses with audit trails for records management compliance. Design ML algorithms (including anomaly detection, predictive modeling, and causal inference) to identify project risks, optimize resource allocation, and forecast financial/technical shifts. Collaborate with UI/UX and data engineers to build interactive, role-based dashboards enabling natural language querying and drill-down analytics for leadership decision-making. Design automated ingestion and ETL/ELT pipelines using NLP and pattern recognition to transform disparate data formats into a standardized, unified Data Fabric schema. Implement robust Explainable AI (XAI) techniques to ensure transparency and trustworthiness of model recommendations. Ensure all AI models, APIs, and data storage solutions strictly adhere to DoD security regulations (e.g., NIST, FedRAMP, Risk Management Framework) across multiple classification levels. Required Qualifications: Education: Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related technical field. Experience: 5+ years of experience engineering production-grade AI/ML systems (or 3+ years with a Master's/Ph.D.). NLP & LLMs: Hands-on experience fine-tuning, evaluating, and deploying open-source and proprietary LLMs, embedding models, and vector databases (e.g., Pinecone, Milvus, Qdrant, FAISS). Programming & Frameworks: Proficiency in Python, PyTorch, TensorFlow, LangChain, LlamaIndex, and modern API frameworks (FastAPI, RESTful APIs). Data Pipelines & Databases: Experience working with complex structured and unstructured data sources, SQL, NoSQL, graph databases, and data lakes. Security Clearance: Must hold an active U.S. Government Secret clearance (or higher) and be eligible to obtain TS/SCI access. Preferred Qualifications: Experience deploying AI applications within DoD, Air Force, or Federal agency environments (CAC/PKI integration, IL4/IL5/IL6 cloud environments). Proven track record building XAI (Explainable AI) architectures for leadership decision support. Background in developing AI solutions for HR systems, workflow management software, or scientific/academic literature indexing. Experience with cloud platforms (AWS GovCloud, Azure Government) and containerized deployment technologies (Docker, Kubernetes). Core Competencies: System Integration: Ability to connect AI models with existing legacy software, APIs, and document management systems seamlessly. Problem Solving: Aptitude for turning complex, noisy, multi-dimensional data into intuitive, actionable insights. Communication: Ability to communicate technical AI concepts clearly to non-technical stakeholders, scientific subject matter experts, and executive leadership. Position Clearance Requirement: US Citizenship with an active U.S. Government Secret clearance (or higher) and be eligible to obtain TS/SCI access. Location: Chantilly/Herndon, VA. Target Salary Range: $120,000.00 - $160,000.00 (Commensurate with specialized expertise and technical skillset). Equal Opportunity Employer: We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity, confirm US Citizenship, and complete the required employment eligibility verification upon hire. We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.

Job DescriptionJob Description Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. We're proud to boast a world-class engineering team that thrives on rolling up their sleeves to solve your mission's biggest challenges. Dark Wolf is seeking a highly skilled Senior AI Engineer to architect, build, and deploy advanced, secure AI-driven solutions supporting federal and defense enterprises. In this role, you will tackle enterprise data fragmentation by designing automated data ingestion pipelines, Retrieval-Augmented Generation (RAG) architectures, and predictive analytics tools. You will directly address critical operational areas including HR workforce analytics, enterprise workflow automation, program management analytics, and automated scientific literature discovery. Key Responsibilities: Architect and implement Retrieval-Augmented Generation (RAG) systems and Large Language Model (LLM) agents to query, summarize, and synthesize insights across large volumes of structured and unstructured data. Build semantic search engines capable of integrating internal legacy databases, data lakes, open-source repositories, and subscription-based scientific literature via APIs. Implement natural language translation, automated document classification, and multi-document summarization to augment science and technology gap analysis. Develop intelligent chatbots and virtual agents to deliver automated, role-based recommendations, career path mapping, and skills gap analysis for enterprise workforces. Build NLP-driven tasking models to ingest natural language inquiries, query underlying enterprise data sources, and draft contextual responses with audit trails for records management compliance. Design ML algorithms (including anomaly detection, predictive modeling, and causal inference) to identify project risks, optimize resource allocation, and forecast financial/technical shifts. Collaborate with UI/UX and data engineers to build interactive, role-based dashboards enabling natural language querying and drill-down analytics for leadership decision-making. Design automated ingestion and ETL/ELT pipelines using NLP and pattern recognition to transform disparate data formats into a standardized, unified Data Fabric schema. Implement robust Explainable AI (XAI) techniques to ensure transparency and trustworthiness of model recommendations. Ensure all AI models, APIs, and data storage solutions strictly adhere to DoD security regulations (e.g., NIST, FedRAMP, Risk Management Framework) across multiple classification levels. Required Qualifications: Education: Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related technical field. Experience: 5+ years of experience engineering production-grade AI/ML systems (or 3+ years with a Master's/Ph.D.). NLP & LLMs: Hands-on experience fine-tuning, evaluating, and deploying open-source and proprietary LLMs, embedding models, and vector databases (e.g., Pinecone, Milvus, Qdrant, FAISS). Programming & Frameworks: Proficiency in Python, PyTorch, TensorFlow, LangChain, LlamaIndex, and modern API frameworks (FastAPI, RESTful APIs). Data Pipelines & Databases: Experience working with complex structured and unstructured data sources, SQL, NoSQL, graph databases, and data lakes. Security Clearance: Must hold an active U.S. Government Secret clearance (or higher) and be eligible to obtain TS/SCI access. Preferred Qualifications: Experience deploying AI applications within DoD, Air Force, or Federal agency environments (CAC/PKI integration, IL4/IL5/IL6 cloud environments). Proven track record building XAI (Explainable AI) architectures for leadership decision support. Background in developing AI solutions for HR systems, workflow management software, or scientific/academic literature indexing. Experience with cloud platforms (AWS GovCloud, Azure Government) and containerized deployment technologies (Docker, Kubernetes). Core Competencies: System Integration: Ability to connect AI models with existing legacy software, APIs, and document management systems seamlessly. Problem Solving: Aptitude for turning complex, noisy, multi-dimensional data into intuitive, actionable insights. Communication: Ability to communicate technical AI concepts clearly to non-technical stakeholders, scientific subject matter experts, and executive leadership. Position Clearance Requirement: US Citizenship with an active U.S. Government Secret clearance (or higher) and be eligible to obtain TS/SCI access. Location: Chantilly/Herndon, VA. Target Salary Range: $120,000.00 - $160,000.00 (Commensurate with specialized expertise and technical skillset). Equal Opportunity Employer: We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity, confirm US Citizenship, and complete the required employment eligibility verification upon hire. We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.

Job DescriptionJob DescriptionAbout Flexport: At Flexport, we believe global trade can move the human race forward. That's why it's our mission to make global commerce so easy there will be more of it. We're shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes-from emerging brands to Fortune 500s-use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. The Opportunity The Autonomous Freight Systems team is a brand new, AI-first engineering team in San Francisco, building Flexport's client-facing rates platform and self-serve freight booking experience from the ground up. We own two of the highest-leverage surfaces in the Client App: how clients see pricing and how they book freight without manual intervention. As a Senior Engineer, you will own significant technical domains end-to-end, not just features, but whole problem spaces. You will drive the engineering of systems that power rate visibility, pricing intelligence, and AI-assisted booking across ocean, air, and trucking. You don't wait to be told what to build next; you identify the highest-leverage problems, propose solutions, and see them through to production. You will be a technical force multiplier on the team: raising the bar on code quality, helping junior engineers grow, and shipping with a velocity and confidence that comes from deep ownership. This is a ground-floor opportunity to build the platform that moves Flexport from an assisted-sales model to a tech-run one for the long tail of our client base-turning the complexity of global trade into a seamless digital experience for thousands of shippers. You Will Take end-to-end technical ownership of core systems: from schema design and backend APIs to the React surfaces our customers use and drive them to production without needing oversight. Proactively identify gaps, inefficiencies, and engineering problems within your domain and lead the effort to resolve them. Design and build AI-powered features and integrations, moving beyond "AI familiarity" to hands-on implementation of agent workflows and LLM-backed automation in production. Drive technical design for significant features, producing well-reasoned proposals and aligning teammates before writing the first line of code. Mentor and support P2 engineers through code review, pairing, and design feedback, raising the quality of the team's output. Collaborate closely with product, design, pricing, and operations to translate complex domain problems into elegant, production-ready solutions. Build and ship incrementally: this team deploys to production dozens of times per day, and you are comfortable with that pace. Ensure reliability and quality by building in metrics, monitoring, and applying learnings from incidents to all systems you own. You Should Have 5+ years of professional software engineering experience with a proven track record of shipping production-grade systems with increasing levels of independence. Deep Ownership Instinct: You hold yourself accountable for outcomes, not just outputs. When something breaks, you fix it-and you make sure it doesn't break again. Full-Stack Fluency: You can own a feature from the database to the browser. You are opinionated about schema design, API contracts, and frontend architecture, not just one layer. AI/LLM Hands-On Experience: You have built software that integrates LLMs into real user workflows-not just proof-of-concepts, but production systems. You understand the practical challenges: latency, reliability, prompt fragility, and cost. Agency and Drive: You identify the next most important problem without being asked. You default to action, propose solutions, and bring others along. Technical Rigor: A genuine passion for simple, well-tested, well-structured code. You push back on complexity and leave systems better than you found them. Communication: You can explain a technical tradeoff clearly to a product manager and to a staff engineer. Your design docs and code reviews are worth reading. Proficiency with deploying, monitoring, and maintaining production services on cloud infrastructure (AWS). It's a Plus If You Have Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS. Familiarity with agentic patterns, RAG, or workflow orchestration (e.g., Temporal). Experience in logistics, supply chain, freight technology, or pricing systems. A bias for action: when you see a problem, you own the fix. The range displayed on each job posting reflects the minimum and maximum target for new hire base salary for the position in the posting's respective region. Our salary ranges are determined by role, level, and location. Within the range displayed, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education and / or training. Base salary is just one part of our total rewards package at Flexport, which also includes bonus, equity, and comprehensive benefit offerings such as medical, dental, and flexible time off. The US base salary range for this position (this does not include bonus, equity and benefits): $206,181-$252,000 USD Commitment to Equal Opportunity At Flexport, our ability to fulfill our mission of making global commerce easy and accessible relies on having a diverse, dedicated and engaged workforce. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law. Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. By submitting your application, you are agreeing to our use and processing of your data as required. Please see our Privacy Notice available at for additional information.

Job DescriptionJob Description Zoox is looking for an experienced Staff Software Engineer to build, scale, and operate our custom High-Performance Computing infrastructure. As Zoox scales its autonomous vehicle development, our HPC platform must keep pace with rapidly growing compute, storage, and scheduling demands across the company. You will modernize our HPC platform-built on industry-leading technologies like Ray.io, SLURM, and Kubernetes-with a focus on reliability, scalability, and world-class developer velocity. These HPC services form the backbone of development workflows across all Zoox software teams, from data engineering to training our AI models in Perception, Planner, Prediction, to Simulation, and more. You will have a direct impact on the productivity and effectiveness of every engineering team at Zoox. The position comes with a high degree of independence and the opportunity to define Zoox's HPC platform strategy, both technically and organizationally. You will work closely with stakeholders in Autonomy and Software teams to understand their workload requirements and translate them into robust, scalable infrastructure. In this role, you will: Design and implement core services and abstractions for distributed compute infrastructure supporting hundreds of thousands of concurrent jobs Work with customer teams and other infrastructure teams to build a multiyear software engineering roadmap for the HPC platform Lead multi-quarter, cross team initiatives that drive org-wide improvements Create production-grade APIs, SDKs, and tools that make it easy for engineers across Zoox to run large-scale distributed workloads Design and improve job scheduling algorithms and auto-scaling policies to maximize reliability and resource availability Design multi-region orchestration strategies that optimize for data locality, reliability, and performance Identify and resolve systemic reliability and performance issues through profiling, analysis, and collaboration with workload owners across multiple teams Evaluate new technologies and paradigms that improve Zoox's computational and storage capabilities Develop capacity planning tools and forecasting models to support Zoox's growing compute needs Mentor junior engineers, guiding them through their career development Qualifications Experience designing and operating large-scale distributed systems in production Experience with Ray.io, particularly Ray Core and Ray Data (or equivalent technologies) Experience with Kubernetes, particularly for heterogeneous workloads Experience with cloud infrastructure on AWS or similar providers Track record of shipping and operating reliable, highly available scalable infrastructure Demonstrated ability to prioritize development work and build cross-functional consensus around technical tradeoffs Proficiency with Python Bonus Qualifications Exposure to machine learning workloads (training, inference, data generation) Experience with Kubernetes or SLURM at scale (>10k+ nodes) Experience with SLURM workload manager and advanced scheduling policies Background in algorithmic optimization or operations research Experience building developer tools and platforms used by large engineering organizations There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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 DescriptionJob Description Zoox is looking for an experienced Staff Software Engineer to build, scale, and operate our custom High-Performance Computing infrastructure. As Zoox scales its autonomous vehicle development, our HPC platform must keep pace with rapidly growing compute, storage, and scheduling demands across the company. You will modernize our HPC platform-built on industry-leading technologies like Ray.io, SLURM, and Kubernetes-with a focus on reliability, scalability, and world-class developer velocity. These HPC services form the backbone of development workflows across all Zoox software teams, from data engineering to training our AI models in Perception, Planner, Prediction, to Simulation, and more. You will have a direct impact on the productivity and effectiveness of every engineering team at Zoox. The position comes with a high degree of independence and the opportunity to define Zoox's HPC platform strategy, both technically and organizationally. You will work closely with stakeholders in Autonomy and Software teams to understand their workload requirements and translate them into robust, scalable infrastructure. In this role, you will: Design and implement core services and abstractions for distributed compute infrastructure supporting hundreds of thousands of concurrent jobs Work with customer teams and other infrastructure teams to build a multiyear software engineering roadmap for the HPC platform Lead multi-quarter, cross team initiatives that drive org-wide improvements Create production-grade APIs, SDKs, and tools that make it easy for engineers across Zoox to run large-scale distributed workloads Design and improve job scheduling algorithms and auto-scaling policies to maximize reliability and resource availability Design multi-region orchestration strategies that optimize for data locality, reliability, and performance Identify and resolve systemic reliability and performance issues through profiling, analysis, and collaboration with workload owners across multiple teams Evaluate new technologies and paradigms that improve Zoox's computational and storage capabilities Develop capacity planning tools and forecasting models to support Zoox's growing compute needs Mentor junior engineers, guiding them through their career development Qualifications Experience designing and operating large-scale distributed systems in production Experience with Ray.io, particularly Ray Core and Ray Data (or equivalent technologies) Experience with Kubernetes, particularly for heterogeneous workloads Experience with cloud infrastructure on AWS or similar providers Track record of shipping and operating reliable, highly available scalable infrastructure Demonstrated ability to prioritize development work and build cross-functional consensus around technical tradeoffs Proficiency with Python Bonus Qualifications Exposure to machine learning workloads (training, inference, data generation) Experience with Kubernetes or SLURM at scale (>10k+ nodes) Experience with SLURM workload manager and advanced scheduling policies Background in algorithmic optimization or operations research Experience building developer tools and platforms used by large engineering organizations There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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 DescriptionJob DescriptionAt ASI, we are revolutionizing industries with state-of-the-art autonomous robotics solutions. Whether its construction, solar, agriculture, or something new, we deliver technologies that enhance safety, productivity, and efficiency. With our core values of Simplicity, Safety, Transparency, Humility, Attention to Detail, Autonomy and Growth guiding everything we do, we're shaping the future of automation in dynamic markets. ASI is expanding its teams to support its current ramp-up across development work, customer projects, and product deployments. This is a full-time W-2 contract role. The selected candidate will interview with ASI and work as an integrated member of the ASI team. W-2 employment, payroll, and benefits will be administered through one of ASI's staffing partners. As an Embedded Software Engineer II, you will participate in the full software development lifecycle for embedded systems operating on autonomous robotic vehicles. You will develop features, diagnose defects, and integrate software across vehicle control, actuator, and sensor systems. With 3-5 years of embedded C/C++ experience, you bring the depth to work independently on complex real-time systems and the discipline to write clean, testable, reusable code. ResponsibilitiesDevelop and maintain features for embedded applications on autonomous robotic vehicle and resolve defects across vehicle control, actuator, and perception sensor systems.Participate in systems engineering to ensure smooth software integration across hardware and software stacks.Write clean, reusable C and C++ code following SOLID principles and established design and maintain unit, integration, and system simulation tests with a test-first approach.Contribute to continuous refactoring and use distributed version control effectively.Support fielded systems and collaborate with engineering teams to resolve integration issues. QualificationsBachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or a related field.3+ years designing and implementing embedded real-time software systems using C/C++.Familiarity with large multithreaded embedded applications running on an RTOS.Familiarity with electrical and mechanical systems.Experience with communication protocols such as CAN, TCP, UDP, SPI, or RS232.Experience with ROS/ROS2 or sensor interfacing including GPS, LiDAR, RADAR, or ultrasonics.Experience with Agile development, device drivers, or flash programming tools a plus. Physical RequirementsAbility to remain in a stationary position at a computer workstation for extended periods.Ability to operate a computer and other office productivity equipment continuously.Ability to communicate and exchange information in person, via phone, and through electronic means.Ability to traverse office, lab, data center, and field environments as required. At Autonomous Solutions Inc, we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. Autonomous Solutions Inc complies with all applicable federal, state, and local laws regarding nondiscrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process. Job Posted by ApplicantPro

Job DescriptionJob DescriptionAt ASI, we are revolutionizing industries with state-of-the-art autonomous robotics solutions. Whether its construction, solar, agriculture, or something new, we deliver technologies that enhance safety, productivity, and efficiency. With our core values of Simplicity, Safety, Transparency, Humility, Attention to Detail, Autonomy and Growth guiding everything we do, we're shaping the future of automation in dynamic markets. ASI is expanding its teams to support its current ramp-up across development work, customer projects, and product deployments. This is a full-time W-2 contract role. The selected candidate will interview with ASI and work as an integrated member of the ASI team. W-2 employment, payroll, and benefits will be administered through one of ASI's staffing partners. As an Embedded Software Engineer II, you will participate in the full software development lifecycle for embedded systems operating on autonomous robotic vehicles. You will develop features, diagnose defects, and integrate software across vehicle control, actuator, and sensor systems. With 3-5 years of embedded C/C++ experience, you bring the depth to work independently on complex real-time systems and the discipline to write clean, testable, reusable code. ResponsibilitiesDevelop and maintain features for embedded applications on autonomous robotic vehicle and resolve defects across vehicle control, actuator, and perception sensor systems.Participate in systems engineering to ensure smooth software integration across hardware and software stacks.Write clean, reusable C and C++ code following SOLID principles and established design and maintain unit, integration, and system simulation tests with a test-first approach.Contribute to continuous refactoring and use distributed version control effectively.Support fielded systems and collaborate with engineering teams to resolve integration issues. QualificationsBachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or a related field.3+ years designing and implementing embedded real-time software systems using C/C++.Familiarity with large multithreaded embedded applications running on an RTOS.Familiarity with electrical and mechanical systems.Experience with communication protocols such as CAN, TCP, UDP, SPI, or RS232.Experience with ROS/ROS2 or sensor interfacing including GPS, LiDAR, RADAR, or ultrasonics.Experience with Agile development, device drivers, or flash programming tools a plus. Physical RequirementsAbility to remain in a stationary position at a computer workstation for extended periods.Ability to operate a computer and other office productivity equipment continuously.Ability to communicate and exchange information in person, via phone, and through electronic means.Ability to traverse office, lab, data center, and field environments as required. At Autonomous Solutions Inc, we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. Autonomous Solutions Inc complies with all applicable federal, state, and local laws regarding nondiscrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process. Job Posted by ApplicantPro

Job DescriptionJob DescriptionAbout Nimble Nimble is an AI robotics company building the autonomous supply chain to power fast, efficient and economical commerce. We're training robot AGI to power a proprietary generalist supply chain superhumanoid, the first robot in the world capable of performing thousands of tasks across the supply chain. We've raised over $220M at over $1B valuation and formed a strategic alliance with FedEx to build a national network of autonomous warehouses capable of generating many billions in annual revenue. We are a hardcore and obsessed team of the world's best engineers and operators. If you are obsessed with your craft, enjoy a high-intensity and fast moving high impact environment, are super high agency in getting hard things done and want to be part of building the world's most legendary robotics company at the most pivotal moment in history, we want to work with you. We are on a mission to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial. We will accomplish this by training robot AGI to invent and build the Autonomous Supply Chain - everything from the inside of factories and warehouses to your front door - powered by generalist superhumanoids. Our founding team comes from the AI labs at Stanford and Carnegie Mellon and our board of directors include famed robotics and AI legends including Fei-Fei Li (Chief Scientist of AI at Google and Director of Stanford's AI Lab), Marc Raibert (founder of Boston Dynamics), and Sebastian Thrun (founder of GoogleX, Waymo; Stanford Professor and considered the father of autonomous vehicles). Let's be legendary. Why Join Nimble? At Nimble, we are committed to building legendary products, a legendary team, and a legendary legacy. Join us and become part of an ambitious, humble, and resourceful culture where your work will leave a lasting impact on the future of robotics and commerce. Nimble's Core Values:Be relentlessly resourceful - Challenge conventions and overcome obstacles.Be legendary - Be the very best and do work that inspires.Be humble - Prioritize growth, learning, and doing whatever is needed to further the mission.Be dependable - Take ownership and deliver with high agency. Role Summary Our Robotics organization is looking for a deeply experienced software engineer that will design, develop, and maintain the application systems, integrations, and orchestration that enable robots to operate reliably in production environments. This includes coordinating robot behaviors, managing system state, and integrating with enterprise systems. If you thrive in a fast, high ownership and cross-functional environment, this role is for you. Key Responsibilities Design and develop well-architected production-level software systems for robot coordination, multi-robot simulations, system state management, and operational workflows Build and maintain integrations with robot platforms, warehouse management systems, APIs, services, and data systems Improve reliability and scalability through robust testing, observability, incident response, and performance tuning Triage and root-cause field issues reported from the Warehouse, driving necessary fleet software, integration, and robot software changes based on analysis and findings. Work closely with robotics engineers, ML engineers, multi robot coordination teams, and product teams Mentor other engineers and contribute to improving team processes and technical standards. Participate in and often lead design reviews, code reviews, and technical planning sessions. Qualifications Bachelors or Masters in Computer Science, or related field, or equivalent experience At least 6 years of experience in production level software development in C++, Python, or Rust Demonstrated experience or knowledge of distributed systems, backend services, API design, CI/CD, AWS, Kubernetes Demonstrated experience designing scalable systems and leading complex technical projects. Excellent communication skills and ability to collaborate across teams. A proven track record of using analysis to influence high-stakes operational and engineering changes. What else to know Compensation: The pay range for this position at the start of employment is expected to be between $230,000 - $280,000/year. Your exact offer may vary depending on multiple individualized factors, including job-related knowledge, skills, and experience. In addition to cash compensation, this position will also receive generous equity for this position. Culture: We embrace challenges and strive to make the impossible possible each day. We're not in this to do what's easy or to be mediocre. We want to create something legendary and leave our mark on the world. We're ambitious, we're gritty, we're humble and we're relentlessly resourceful in pursuit of our goals. If this sounds like you then you might be a great fit! Nimble Robotics, Inc. is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the basis of race, color, religion, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, age, military or veteran status, or any other characteristic protected by applicable state, federal or local laws. Nimble's Benefits Unlimited Flexible Time Off Enjoy the time you need to travel, rejuvenate, and connect with friends and family. Health Insurance Nimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family. Paid Parental Leave Enjoy paid bonding time following a birth. Commuter Benefits Take the stress out of commuting with access to fully-paid parking spots. Referral Bonus Get a cash bonus for any friend or colleagues that you refer to us that we end up hiring. 401k Contribute towards a 401k for retirement planning. Equity Be an owner in Nimble through our equity program Link: Nimble Closes $106 Million Series C Funding Round, Scales Fully Autonomous Fulfillment with FedEx Link: FedEx Announces Expansion of FedEx Fulfillment With Nimble Alliance

Job DescriptionJob Description ABOUT LVT LVT is redefining how businesses operate in the physical world, moving beyond traditional security solutions to deliver AI-driven, actionable intelligence that makes sites smarter, safer, and more secure. Since pioneering our first mobile, solar-powered units, our commitment to scrappy, hands-on innovation has made us an established leader and one of the fastest-growing companies in intelligent site technology. We are building the next generation of solutions-from our physical units in the field to a powerful Agentic AI platform-that allows our customers to gain unprecedented visibility and control over safety, compliance, and operations. This is your chance to join a cutting-edge team that isn't just watching the world change, but actively building the technology that is changing it. We're a team that's focused on growth and innovation, and we're proud that our crew, products, and leadership are being recognized for it. A Top-Tier Growth Company: Named one of the Financial Times' Fastest Growing Companies 2025 and on the Inc. 5000 Rocky Mountain Regional list for 2025. Innovative Leadership: Our CEO, Ryan Porter, was named an EY Entrepreneur of the Year 2025, and our CTO, Steve Lindsey, was inducted into the Silicon Slopes CTO Hall of Fame in 2024. Product & Software Excellence: We were named one of The Software Report's Top 100 Software Companies of 2023 and are a winner of the Security Today Govies Award for 2025. ABOUT THIS ROLE As a Staff Fullstack Software Engineer at LVT, you will set the technical direction for software spanning our entire UI surface area and the mission-critical backend services supporting it. Operating as an individual contributor with organizational-wide impact, you will own architecture end-to-end-from React components and Next.js server actions to GraphQL federation and real-time edge flows. This role demands deep engineering judgment, systemic problem-solving across unfamiliar codebases, and a passion for multiplying the capabilities of the senior and mid-level engineers around you. ROLE RESPONSIBILITIES End-to-End Technical Direction: Act as the technical authority across the stack (UI, BFF, GraphQL APIs, and backend data systems), driving architectural decisions that span multiple teams, authoring foundational design docs, and shipping the most complex core components. Cross-Service Architecture & Debugging: Trace and resolve complex, systemic issues across service boundaries-from the front-end to backend subgraphs and authorization layers-serving as the ultimate escalation point when technical layers disagree. Federation & Contract Governance: Own the health, evolution, and long-term hygiene of our GraphQL federation graph and data contracts, establishing safe schema evolution and migration paths for product teams. Scale, Reliability, & Observability: Raise the operational bar by defining meaningful SLOs, end-to-end tracing, and comprehensive dashboards, ensuring real-time WebSocket and device-control paths degrade gracefully and operate reliably. Multiplier-Level Teamwork: Mentor and coach engineers across both frontend and backend disciplines, elevating code review standards, leading cross-functional design discussions, and partnering with cross-org stakeholders to land large-scale technical initiatives. Continuous Engineering Improvement: Systematically identify and resolve global organizational bottlenecks, optimizing for total stack type-safety, CI/CD performance, legacy surface deprecations, and on-call developer ergonomics. OUR IDEAL CANDIDATE Experience & Stack Mastery: 8+ years of professional development experience utilizing TypeScript across both client and server, alongside proven production experience leading non-trivial architectures in React and Next.js (App Router). Backend & API Design: Deep production expertise designing and operating Node.js backend services (NestJS preferred) and a strong command of GraphQL ecosystems (Apollo Server, schema design, federation, subscriptions, and N+1/DataLoader patterns). Data & Real-Time Systems: Comprehensive experience with relational databases (MySQL preferred), query builders/ORMs (such as Knex), database migrations, and a working knowledge of scaling WebSocket-based real-time data flows. Security & Infrastructure: Robust understanding of modern authentication/authorization patterns (OAuth/OIDC, JWT, and ABAC/ReBAC models) alongside practical knowledge of Docker, container orchestration, and optimization of fast, trustworthy CI/CD pipelines. Legacy Systems Fluency: Outstanding analytical and debugging skills with the ability to safely navigate, test, and refactor complex legacy software (older React and Webpack codebases) that may lack original documentation or test coverage. Influence Without Authority: Demonstrated technical leadership, possessing the strong communication and interpersonal skills required to align engineering teams and business stakeholders around multi-quarter technical strategies. Highly Advantageous (Nice to Have): Familiarity with message brokers (RabbitMQ), IoT/device protocols (MQTT), policy engines (Cedar, OPA), observability tools (OpenTelemetry, Sentry, Coralogix), Monorepos (Turbo, Bun), or physical security/video streaming platforms. BENEFITS We believe you do your best work when your whole life is supported. We invest in our crew's health, families, and financial futures with a benefits package designed to support you inside and outside the office. Full-time benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits (401k match up to 4%), and flexible PTO. LVT IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. All candidates must pass a drug screening and background check upon employment. Some roles may also require passing a federal background check and fingerprinting. Must be authorized to work in the U.S. If reasonable accommodation is needed to participate in the job application or interview process, and/or to perform essential job functions, please reach out to your recruiter.

Job DescriptionJob Description ABOUT LVT LVT is redefining how businesses operate in the physical world, moving beyond traditional security solutions to deliver AI-driven, actionable intelligence that makes sites smarter, safer, and more secure. Since pioneering our first mobile, solar-powered units, our commitment to scrappy, hands-on innovation has made us an established leader and one of the fastest-growing companies in intelligent site technology. We are building the next generation of solutions-from our physical units in the field to a powerful Agentic AI platform-that allows our customers to gain unprecedented visibility and control over safety, compliance, and operations. This is your chance to join a cutting-edge team that isn't just watching the world change, but actively building the technology that is changing it. We're a team that's focused on growth and innovation, and we're proud that our crew, products, and leadership are being recognized for it. A Top-Tier Growth Company: Named one of the Financial Times' Fastest Growing Companies 2025 and on the Inc. 5000 Rocky Mountain Regional list for 2025. Innovative Leadership: Our CEO, Ryan Porter, was named an EY Entrepreneur of the Year 2025, and our CTO, Steve Lindsey, was inducted into the Silicon Slopes CTO Hall of Fame in 2024. Product & Software Excellence: We were named one of The Software Report's Top 100 Software Companies of 2023 and are a winner of the Security Today Govies Award for 2025. ABOUT THIS ROLE As a Staff Fullstack Software Engineer at LVT, you will set the technical direction for software spanning our entire UI surface area and the mission-critical backend services supporting it. Operating as an individual contributor with organizational-wide impact, you will own architecture end-to-end-from React components and Next.js server actions to GraphQL federation and real-time edge flows. This role demands deep engineering judgment, systemic problem-solving across unfamiliar codebases, and a passion for multiplying the capabilities of the senior and mid-level engineers around you. ROLE RESPONSIBILITIES End-to-End Technical Direction: Act as the technical authority across the stack (UI, BFF, GraphQL APIs, and backend data systems), driving architectural decisions that span multiple teams, authoring foundational design docs, and shipping the most complex core components. Cross-Service Architecture & Debugging: Trace and resolve complex, systemic issues across service boundaries-from the front-end to backend subgraphs and authorization layers-serving as the ultimate escalation point when technical layers disagree. Federation & Contract Governance: Own the health, evolution, and long-term hygiene of our GraphQL federation graph and data contracts, establishing safe schema evolution and migration paths for product teams. Scale, Reliability, & Observability: Raise the operational bar by defining meaningful SLOs, end-to-end tracing, and comprehensive dashboards, ensuring real-time WebSocket and device-control paths degrade gracefully and operate reliably. Multiplier-Level Teamwork: Mentor and coach engineers across both frontend and backend disciplines, elevating code review standards, leading cross-functional design discussions, and partnering with cross-org stakeholders to land large-scale technical initiatives. Continuous Engineering Improvement: Systematically identify and resolve global organizational bottlenecks, optimizing for total stack type-safety, CI/CD performance, legacy surface deprecations, and on-call developer ergonomics. OUR IDEAL CANDIDATE Experience & Stack Mastery: 8+ years of professional development experience utilizing TypeScript across both client and server, alongside proven production experience leading non-trivial architectures in React and Next.js (App Router). Backend & API Design: Deep production expertise designing and operating Node.js backend services (NestJS preferred) and a strong command of GraphQL ecosystems (Apollo Server, schema design, federation, subscriptions, and N+1/DataLoader patterns). Data & Real-Time Systems: Comprehensive experience with relational databases (MySQL preferred), query builders/ORMs (such as Knex), database migrations, and a working knowledge of scaling WebSocket-based real-time data flows. Security & Infrastructure: Robust understanding of modern authentication/authorization patterns (OAuth/OIDC, JWT, and ABAC/ReBAC models) alongside practical knowledge of Docker, container orchestration, and optimization of fast, trustworthy CI/CD pipelines. Legacy Systems Fluency: Outstanding analytical and debugging skills with the ability to safely navigate, test, and refactor complex legacy software (older React and Webpack codebases) that may lack original documentation or test coverage. Influence Without Authority: Demonstrated technical leadership, possessing the strong communication and interpersonal skills required to align engineering teams and business stakeholders around multi-quarter technical strategies. Highly Advantageous (Nice to Have): Familiarity with message brokers (RabbitMQ), IoT/device protocols (MQTT), policy engines (Cedar, OPA), observability tools (OpenTelemetry, Sentry, Coralogix), Monorepos (Turbo, Bun), or physical security/video streaming platforms. BENEFITS We believe you do your best work when your whole life is supported. We invest in our crew's health, families, and financial futures with a benefits package designed to support you inside and outside the office. Full-time benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits (401k match up to 4%), and flexible PTO. LVT IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. All candidates must pass a drug screening and background check upon employment. Some roles may also require passing a federal background check and fingerprinting. Must be authorized to work in the U.S. If reasonable accommodation is needed to participate in the job application or interview process, and/or to perform essential job functions, please reach out to your recruiter.

Job DescriptionJob DescriptionAbout Mainspring Mainspring Energy manufactures and delivers fuel-flexible, low-emissions local power solutions that rapidly add new capacity and deliver reliable, affordable, and sustainable electric power. The company began commercial shipments of its Mainspring Linear Generators in 2020 and today has hundreds of megawatts in advanced development and field operations for leading Fortune 500 companies, data centers, and utilities. Mainspring also partners with global energy leaders including AEP, NextEra Energy Resources, Schneider Electric, and more. The core values that ground our work, guide our decisions, and connect us together: Pragmatic Optimism Excellence without Ego Proactive Collaboration Job Overview Mainspring Energy is reinventing distributed power generation with our Linear Generator - a fuel-flexible, ultra-low emissions platform delivering resilient, on-site power for commercial, industrial, and utility customers. Now we're scaling our fleet. We're looking for the right architect to own the cloud-to-field software ecosystem that powers, monitors, and optimizes our distributed energy assets. This is a rare opportunity to unify cloud, data, and embedded device software under one technical vision - and scale a platform that directly enables the energy transition. This is industrial-grade, uptime-critical, hardware-connected software. Responsibilities Ingest and process real-time telemetry from thousands of generators at high speed Enable secure monitoring, diagnostics, and control of remote devices at scale Build infrastructure to enable updating software on remote embedded devices When our software works, customers stay powered. When it doesn't, the stakes are real Qualifications You are a systems thinker who understands that software decisions impact physical infrastructure. 12 + years in software engineering on production systems, including team technical leadership Experience with device-to-cloud architectures and telemetry pipelines Experience with AWS, GCP, or Azure Experience in distributed systems and cloud infrastructure A reliability-first mindset - 99% uptime isn't good enough Experience in Industrial IoT, energy systems, industrial automation, or fleet-scale device platforms a plus This position is onsite at our Menlo Park HQ. The salary will be adjusted to reflect local market conditions based on employee location as well as the experience of the employee. Along with the base salary, Mainspring offers pre-IPO stock options + benefits. Does your experience not meet all of our posted requirements? Studies have shown that some people are less likely to apply to positions unless they meet every listed requirement. At Mainspring, we are committed to building a diverse, inclusive, flexible, and collaborative environment, so if you want to help us transition the world to clean and affordable electricity, and don't meet all posted requirements for a particular role, we'd still love to hear from you. Mainspring can sometimes be flexible enough to shift responsibilities for the right person, or otherwise identify open or upcoming roles that may better fit your professional background. In more traditional words, Mainspring Energy, Inc 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, or protected veteran status and will not be discriminated against on the basis of disability. This compensation and benefits information is based on Mainspring Energy's estimate as of the date of publication and may be modified in the future. We generally do not negotiate on salary once we have made an offer. The level of pay within the range will depend on a variety of job-related factors that may include location, relevant prior experience and/or education, or particular skills and expertise. New hires joining the company tend to be paid within the starting base pay range noted above, with opportunities to increase pay over time based on development of additional skills, competencies, and company-specific knowledge. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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 DescriptionJob DescriptionAbout Mainspring Mainspring Energy manufactures and delivers fuel-flexible, low-emissions local power solutions that rapidly add new capacity and deliver reliable, affordable, and sustainable electric power. The company began commercial shipments of its Mainspring Linear Generators in 2020 and today has hundreds of megawatts in advanced development and field operations for leading Fortune 500 companies, data centers, and utilities. Mainspring also partners with global energy leaders including AEP, NextEra Energy Resources, Schneider Electric, and more. The core values that ground our work, guide our decisions, and connect us together: Pragmatic Optimism Excellence without Ego Proactive Collaboration Job Overview Mainspring Energy is reinventing distributed power generation with our Linear Generator - a fuel-flexible, ultra-low emissions platform delivering resilient, on-site power for commercial, industrial, and utility customers. Now we're scaling our fleet. We're looking for the right architect to own the cloud-to-field software ecosystem that powers, monitors, and optimizes our distributed energy assets. This is a rare opportunity to unify cloud, data, and embedded device software under one technical vision - and scale a platform that directly enables the energy transition. This is industrial-grade, uptime-critical, hardware-connected software. Responsibilities Ingest and process real-time telemetry from thousands of generators at high speed Enable secure monitoring, diagnostics, and control of remote devices at scale Build infrastructure to enable updating software on remote embedded devices When our software works, customers stay powered. When it doesn't, the stakes are real Qualifications You are a systems thinker who understands that software decisions impact physical infrastructure. 12 + years in software engineering on production systems, including team technical leadership Experience with device-to-cloud architectures and telemetry pipelines Experience with AWS, GCP, or Azure Experience in distributed systems and cloud infrastructure A reliability-first mindset - 99% uptime isn't good enough Experience in Industrial IoT, energy systems, industrial automation, or fleet-scale device platforms a plus This position is onsite at our Menlo Park HQ. The salary will be adjusted to reflect local market conditions based on employee location as well as the experience of the employee. Along with the base salary, Mainspring offers pre-IPO stock options + benefits. Does your experience not meet all of our posted requirements? Studies have shown that some people are less likely to apply to positions unless they meet every listed requirement. At Mainspring, we are committed to building a diverse, inclusive, flexible, and collaborative environment, so if you want to help us transition the world to clean and affordable electricity, and don't meet all posted requirements for a particular role, we'd still love to hear from you. Mainspring can sometimes be flexible enough to shift responsibilities for the right person, or otherwise identify open or upcoming roles that may better fit your professional background. In more traditional words, Mainspring Energy, Inc 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, or protected veteran status and will not be discriminated against on the basis of disability. This compensation and benefits information is based on Mainspring Energy's estimate as of the date of publication and may be modified in the future. We generally do not negotiate on salary once we have made an offer. The level of pay within the range will depend on a variety of job-related factors that may include location, relevant prior experience and/or education, or particular skills and expertise. New hires joining the company tend to be paid within the starting base pay range noted above, with opportunities to increase pay over time based on development of additional skills, competencies, and company-specific knowledge. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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 DescriptionJob Description Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World's Technology Together Our technology solutions power the tools you use every day including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities. Advancing the World's Technology Together Our technology solutions power the tools you use every day including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities. About the Role We are seeking a Senior Staff Engineer to build and optimize the EDA design environment and large-scale compute infrastructure that supports our semiconductor design organizations, and to establish company-wide standards and processes for EDA licensing and R&D software. In this role, you will design and standardize the shared design environments and infrastructure used across multiple design organizations, driving engineering productivity and cost efficiency at scale. AI/PI Group is an internal AI and Process Innovation organization within Samsung DSA, dedicated to transforming how our company works through artificial intelligence. We accelerate AI adoption across the entire organization - from reshaping day-to-day workflows and automating core internal processes to empowering our workforce with practical, intelligent tools. The Applied AI Engineering team is the driving force behind this vision, leading innovation at the intersection of machine learning and system engineering to develop and operate our next-generation AI frameworks. We aim to enable frontier AI models to autonomously plan, retrieve information, coordinate with tools, and execute multi-step workflows across our internal knowledge ecosystem. We are actively seeking talented Machine Learning Engineers specializing in building next-generation AI/ML solutions. What You'll Do Design, build, and productize agentic AI applications that combine vision and language models - owning the architecture end-to-end from prototype through deployment and ongoing operation. Architect multi-agent systems using frameworks such as LangGraph, LangChain, AutoGen, or CrewAI, including agent orchestration, tool and function routing, state and memory management, error recovery, and human-in-the-loop workflows. Establish evaluation frameworks and quality bars for agentic and multimodal systems: define reference and non-reference metrics, build benchmark suites and regression harnesses, and instrument agent trajectories for offline and online evaluation. Drive quality, cost, and latency trade-off decisions with data - selecting models, routing strategies, and inference configurations that meet product requirements within compute and memory budgets. Optimize inference performance on accelerated hardware through quantization, batching, caching, kernel- and runtime-level tuning, and model/hardware co-design; profile workloads to identify and eliminate bottlenecks. Identify and solve multi-discipline AI acceleration problems, especially with memory bottlenecks, involving algorithms, network design, hardware architecture Work with researchers and application developers to enable the latest machine learning work to optimize performance. What You Bring BS with 10+ years, MS with 8+ years, or PhD with 5+ years of experience in Computer Science, Electrical Engineering, or a related field Demonstrated track record of deploying and operating LLM- or vision-powered systems in production, with proven experience in evaluation and safe rollout practices (A/B testing, canary releases, offline/online evaluation) - including defining quality metrics, benchmarking models, and driving quality/cost/latency trade-off decisions Hands-on expertise with agentic AI frameworks (LangGraph, CrewAI, ADK) - multi-agent orchestration and patterns, tool routing, state management, and/or interoperability protocols (MCP, A2A) Experience with LLM inference optimization and serving (e.g., vLLM, TensorRT-LLM), covering quantization, KV-cache management, and hardware-aware deployment Strong Python and C/C++ skills with deep experience in PyTorch/TensorFlow, and experience designing, building, and securing large-scale distributed systems Preferred Qualification PhD of software engineering experience MLOps exposure: prompt/version management, monitoring, observability Experience with ML, graphics or computer vision accelerator Understanding of PPA (performance, power, and area) trade-offs, memory controller architecture and/or general computer architecture is beneficial Familiarity with state-of-the-art AI workloads and their compute and memory requirements Experience with performance modeling of heterogenous systems is beneficial Ability to meet aggressive project deadlines in a team environment What We Offer The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours. Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community. Enjoy Time Away You'll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge. Care for Family Whatever family means to you, we want to support you along the way-including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies. Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you'll have support no matter where you are. Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier. Embrace Flexibility Benefits are best when you have the space to use them. That's why we facilitate a flexible environment so you can find the right balance for you. Base Pay Range $163,000-$253,000 USD Equal Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations. Our Commitment to Innovation and Fairness At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency. However, AI is used as a support tool, not a final decision-maker. All hiring decisions are made by our human recruiting team and hiring managers to ensure every candidate is evaluated fairly and holistically. Recruiting Agency Policy We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings. Applicant AI Use Policy At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we ask that candidates rely on their own knowledge and skills throughout the process. AI tools may be used for basic preparation, grammar, and research, but should not be used to generate or assist with submitted content or live interview responses. If we determine that AI is being used outside these guidelines, we reserve the right to pause or end the interview, and your candidacy may be disqualified. Trade Secret Notice By submitting an application . click apply for full job details

Job DescriptionJob Description CoreWeave 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 . What You'll Do: The Platform & Infrastructure Engineering team sits at the core of our Data Infrastructure organization, responsible for the availability, reliability, scalability, and security of the company's data platform. We build and operate the foundational systems that underpin data ingestion, transformation, analytics, and internal AI workloads at scale - delivering with production-grade discipline across mission-critical services. Our work is guided by a commitment to automation, deep observability, and resilience, supporting stringent uptime requirements that the broader organization depends on. About the role: As a Staff Software Engineer, you will take end-to-end ownership of the reliability and performance of our Kubernetes-based data platform. You will architect and operate highly available, multi-region systems designed to meet rigorous uptime and latency standards. Your day-to-day work will span scaling infrastructure, optimizing deployment pipelines, and strengthening our security posture - while playing a central role in building, testing, and managing scalable systems that are production-ready from day one. Who You Are: You bring 10+ years of hands-on experience in Platform Engineering, Infrastructure Engineering, or building highly scalable distributed systems - with a strong foundation in software design, development, and algorithmic problem-solving. Data Platform Experience: Familiarity operating data platforms or data-intensive workloads, including distributed processing and streaming frameworks such as Spark, Airflow, Kafka, or Flink. Kubernetes & Containerization: Deep expertise in Kubernetes cluster design, day-to-day operations, and production troubleshooting across containerized service environments. CI/CD Systems: Proven track record building and operating robust CI/CD pipelines using tools such as Argo CD and GitHub Actions. Production Ownership: Demonstrated experience owning mission-critical systems with high availability requirements ( 99.99% uptime), including incident response, SLI/SLO/SLA definition, error budget management, and blameless postmortems. Distributed Systems: Hands-on experience developing large-scale distributed systems, databases, and backend APIs. Multi-Region Architecture: Practical experience designing and operating geo-replicated, active-active, multi-region systems - with a solid grasp of traffic routing, failover strategies, and data consistency tradeoffs. Observability: Strong experience building and owning full-stack observability solutions, including metrics, logging, and distributed tracing using tools such as Prometheus, Grafana, and OpenTelemetry. Infrastructure as Code: Proficiency with IaC tooling such as Helm, Terraform, or Pulumi, and experience with automated environment provisioning. Performance & Capacity: Strong command of system performance tuning, capacity planning, and resource optimization in distributed environments. Cloud-Native Security: Hands-on experience applying security best practices in cloud-native settings, including secrets management, network policies, and vulnerability scanning. Preferred: Regulated Environments: Experience working within compliance-driven environments and a working knowledge of regulatory frameworks such as GDPR, SOC 2, HIPAA, or SOX. Internal Developer Platforms: Background in designing and building internal developer platforms or self-service infrastructure tooling that empowers engineering teams to move faster and operate independently. Wondering if you're a good fit? 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 building highly reliable systems that operate at scale You're curious about how to continuously improve system resilience, security, and operations You're an expert in diagnosing and solving complex distributed systems problems 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 Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $207,000 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. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: 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 A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations 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 DescriptionJob Description About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage. Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved. Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile. Being a Dialer At Dialpad, AI isn't just a feature; it's how our teams do their best work every day. We put powerful AI tools in every employee's hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we've built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic. Your role As a core technical leader within our Agentic AI initiatives, you will shape the vision, architecture, and execution of Dialpad's next-generation AI platform, moving the industry beyond passive copilots into autonomous workflow execution. Working closely with Product, Applied Research, Design, and executive leadership, you will build production-grade systems where AI agents reason, act, coordinate, and safely execute workflows. You will help pioneer an advanced multi-agent orchestration framework capable of real-time conversational reasoning and tool execution over massive enterprise datasets while fostering an AI-native engineering culture. This position reports directly to our Senior Director of Engineering and has the opportunity to be based in our Bay Area office. What you'll do Drive Technical Strategy: Own the architectural roadmap and delivery of Dialpad's Agentic infrastructure, core orchestration layers, memory architectures, and evaluation/observability systems. Build & Scale: Design and deploy scalable, multi-modal AI agents capable of autonomous support, real-time voice reasoning, and secure API tool execution across complex enterprise workflows. Mentor & Influence: Act as a technical anchor for the organization, raising the engineering bar, mentoring senior peers, and defining technical standards for an AI-native SDLC. Partner Cross-Functionally: Collaborate with leadership across Product, Engineering, and Applied Research to align technical execution with Dialpad's long-term business strategy. Push the Frontier: Research and implement emerging agent frameworks, LLM inference optimization, advanced retrieval systems, and cutting-edge safety/policy guardrails to keep Dialpad at the absolute forefront of the "era of the agent." Skills you'll bring Experience: 10+ years of relevant software engineering experience, with a proven track record of technical leadership (as a Staff, Senior Staff, or Principal Engineer) shipping complex, large-scale systems. Systems Background: Strong foundations in scaling distributed systems and production-grade infrastructure before evolving into applied AI, LLM platforms, and agentic architectures. Leadership: Ability to lead and grow a small group of engineers. LLM Platforms: Inference optimization and fine-tuning strategies. Data & Retrieval: Advanced retrieval systems and memory architectures. Agent Frameworks: Hands-on experience with frameworks like LangChain/LangGraph, CrewAI, or AWS/Google Agent ecosystems. AI Ops: Evaluation, observability, and safety frameworks for production AI systems. Real-Time Infrastructure: Streaming infrastructure and voice/conversational AI. Tool Integration: Tool use, API execution frameworks, and human-in-the-loop validation systems. Operational Excellence: Experience setting clear technical goals, identifying architectural risks, and systematically clearing tech-debt gaps. The 0 1 Archetype: Ability to thrive in ambiguity, build cutting-edge AI products from the ground up, and scale them into robust, self-sustaining enterprise systems. For exceptional talent based in California, the target base salary range for this position is posted below. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the target range for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. California Salary Range $176,000-$209,000 USD Why Join Dialpad Work at the center of the AI transformation in business communications Build and ship agentic AI products that are redefining how companies operate Join a team where AI amplifies every employee's impact Competitive salary, comprehensive benefits, and real opportunities for growth We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success. Don't meet every single requirement? If you're excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn't meet every qualification, we encourage you to apply. Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.

Job DescriptionJob Description CoreWeave 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 . What You'll Do: The Platform & Infrastructure Engineering team sits at the core of our Data Infrastructure organization, responsible for the availability, reliability, scalability, and security of the company's data platform. We build and operate the foundational systems that underpin data ingestion, transformation, analytics, and internal AI workloads at scale - delivering with production-grade discipline across mission-critical services. Our work is guided by a commitment to automation, deep observability, and resilience, supporting stringent uptime requirements that the broader organization depends on. About the role: As a Staff Software Engineer, you will take end-to-end ownership of the reliability and performance of our Kubernetes-based data platform. You will architect and operate highly available, multi-region systems designed to meet rigorous uptime and latency standards. Your day-to-day work will span scaling infrastructure, optimizing deployment pipelines, and strengthening our security posture - while playing a central role in building, testing, and managing scalable systems that are production-ready from day one. Who You Are: You bring 10+ years of hands-on experience in Platform Engineering, Infrastructure Engineering, or building highly scalable distributed systems - with a strong foundation in software design, development, and algorithmic problem-solving. Data Platform Experience: Familiarity operating data platforms or data-intensive workloads, including distributed processing and streaming frameworks such as Spark, Airflow, Kafka, or Flink. Kubernetes & Containerization: Deep expertise in Kubernetes cluster design, day-to-day operations, and production troubleshooting across containerized service environments. CI/CD Systems: Proven track record building and operating robust CI/CD pipelines using tools such as Argo CD and GitHub Actions. Production Ownership: Demonstrated experience owning mission-critical systems with high availability requirements ( 99.99% uptime), including incident response, SLI/SLO/SLA definition, error budget management, and blameless postmortems. Distributed Systems: Hands-on experience developing large-scale distributed systems, databases, and backend APIs. Multi-Region Architecture: Practical experience designing and operating geo-replicated, active-active, multi-region systems - with a solid grasp of traffic routing, failover strategies, and data consistency tradeoffs. Observability: Strong experience building and owning full-stack observability solutions, including metrics, logging, and distributed tracing using tools such as Prometheus, Grafana, and OpenTelemetry. Infrastructure as Code: Proficiency with IaC tooling such as Helm, Terraform, or Pulumi, and experience with automated environment provisioning. Performance & Capacity: Strong command of system performance tuning, capacity planning, and resource optimization in distributed environments. Cloud-Native Security: Hands-on experience applying security best practices in cloud-native settings, including secrets management, network policies, and vulnerability scanning. Preferred: Regulated Environments: Experience working within compliance-driven environments and a working knowledge of regulatory frameworks such as GDPR, SOC 2, HIPAA, or SOX. Internal Developer Platforms: Background in designing and building internal developer platforms or self-service infrastructure tooling that empowers engineering teams to move faster and operate independently. Wondering if you're a good fit? 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 building highly reliable systems that operate at scale You're curious about how to continuously improve system resilience, security, and operations You're an expert in diagnosing and solving complex distributed systems problems 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 Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $207,000 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. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: 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 A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations 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 DescriptionJob Description CoreWeave 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 . About the Team The Developer Experience team owns the services, systems, and developer-facing capabilities that enable every engineer at CoreWeave to build and ship software faster, more safely, and with greater confidence. Our scope spans the full developer lifecycle, including build infrastructure, test systems, delivery workflows, internal developer tooling, and agentic AI capabilities that are redefining how engineers move from idea to production. We operate at the scale of one of the world's largest GPU clouds, which means our build, test, and delivery systems must handle extreme compute throughput, heterogeneous workloads, and the reliability demands of an infrastructure platform critical to thousands of engineers. About the Role This is a principal-level software engineering leadership role for an engineer who will define the long-term technical direction for Developer Experience across CoreWeave. You will operate across team boundaries, own the hardest software design and architecture problems in developer productivity, and shape the services, APIs, abstractions, and engineering standards that enable the organization to scale. Kubernetes is central to how CoreWeave's eco system operates. This role is ideal for someone who leads with deep software engineering skill first: someone who has built large-scale production software, designed distributed systems that hold up under real-world complexity, and knows how to turn developer productivity problems into elegant, durable software solutions. You should be equally comfortable setting technical strategy, writing and reviewing high-quality code, and guiding other senior engineers through ambiguous architectural decisions. What You'll Do Define and drive the technical strategy for Developer Experience across build systems, test systems, delivery platforms, developer tooling, and agentic engineering capabilities. Own delivery at scale. Define and drive the strategy for how code goes from commit to production reliably and quickly. Attack the bottlenecks - CI/CD throughput, build and test times, deployment safety, rollback speed, and release orchestration - across a large, multi-team codebase. Architect and evolve the core services, APIs, SDKs, and software abstractions that power how engineers build, test, deploy, and operate software at CoreWeave. Lead cross-team technical initiatives that improve engineering velocity, software quality, and system reliability at organizational scale. Solve high-complexity software engineering problems involving distributed systems, service architecture, performance, scalability, concurrency, and failure handling. Identify systemic bottlenecks in developer workflows and design durable software solutions that reduce friction without increasing operational complexity. Establish technical standards and best practices for code quality, maintainability, testability, observability, and long-term system design across the engineering organization. Partner with infrastructure, security, SRE, and product engineering teams to ensure DevEx systems integrate cleanly into the broader technical ecosystem. Mentor senior engineers, raise the technical bar across teams, and help grow the next generation of staff-plus engineering leadership. Design agent-safe developer interfaces and tooling that integrate LLM-driven workflows into the build, test and code review lifecycle - ensuring automation, AI-assisted tooling and human-in-the-loop systems are first class , well governed parts of developer experience. Define and maintain the internal developer platforms' golden paths, service templates, and paved road abstractions that make it easy for engineers to do the right thing by default. Who You AreMinimum Qualifications Strong software engineering fundamentals and proficiency in Go, with a track record of shipping high-quality production services in cloud-native environments. 10+ years of software engineering experience, including significant time designing, building, and owning large-scale production software and distributed systems. Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a closely related technical field required. Strong software engineering fundamentals and proficiency in Go, with a track record of shipping high-quality production services in cloud-native environments. Proven ability to define multi-year technical strategy and execute across complex, cross-team domains. Deep systems design expertise with strong opinions on API design, service architecture, data models, software abstractions, correctness, scalability, and long-term maintainability. Deep experience debugging complex production issues and reasoning through distributed system behavior, performance bottlenecks, and failure modes. Strong experience designing developer-facing software such as internal platforms, APIs, CLIs, SDKs, workflow engines, or other tooling that engineers rely on every day. Deep understanding of Kubernetes and modern software delivery environments, with the ability to make sound architectural decisions in cloud-native systems. Demonstrated ability to influence technical decisions at the organizational level and communicate clearly with both technical and non-technical stakeholders. A track record of mentoring senior engineers and raising technical quality across teams. Preferred Qualifications Deep expertise in one or more DevEx domains such as build systems, test infrastructure, CI/CD, remote execution, caching, artifact systems, or developer environments. Hands-on experience designing and operating large-scale distributed services that support high-throughput engineering workflows. Experience building internal developer products with a strong focus on usability, API ergonomics, adoption, and long-term maintainability. Experience with AI-native developer tooling, including LLM-integrated workflows, agentic frameworks, MCP-style tooling, or autonomous developer agents with strong safety and governance patterns. Prior experience serving as a technical lead or system architect on a software platform with broad organizational impact. Kubernetes operator development, CRD design, or control-plane work - especially in the context of managing developer workloads or CI/CD infrastructure on Kubernetes. Prior experience at a cloud infrastructure company, hyperscaler, or HPC environment where engineering scale and compute heterogeneity create unique DevEx challenges. Familiarity with container runtimes, OCI image standards, or artifact distribution systems at scale. What Success Looks Like Engineering teams move faster because the software systems behind build, test, and delivery are simpler, more reliable, and more scalable. The organization has clearer technical standards and better software abstractions for how developer-facing systems are designed and evolved. Developer Experience investments translate into measurable improvements in engineering productivity, software quality, and operational excellence. CoreWeave continues to build a world-class engineering organization by solving developer productivity problems with strong software engineering discipline and long-term technical vision. The base salary range for this role is $227,000 to $303,000. 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. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: 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 . click apply for full job details