Data Engineer jobs at Huntington Ingalls Industries - 887 jobs

Company: NextEra Energy NextEra Energy Resources is one of America's largest wholesale electricity generators, harnessing diverse energy sources to power progress. We deliver tailored energy solutions that fuel economic growth, strengthen communities, and help customers achieve their energy goals. Ready to make a lasting impact? Take the next step in your career with us! Position Specific Description NextEra Energy is a Fortune 200 company that owns Florida Power & Light Company, the largest electric utility in the United States, serving approximately 12 million residents in Florida. Our diverse energy portfolio includes natural gas, nuclear, renewable energy, and battery storage solutions. With a strong commitment to meeting America's evolving energy needs sustainably, NextEra Energy Resources, LLC, is a leader in energy infrastructure development. Ready to make a meaningful impact? Join our team to elevate your career. The Principal Geospatial Data Scientist for the Enterprise NEE.GIS Geospatial DataOps team will drive innovation by integrating cutting‑edge data science methodologies, including machine learning (ML), deep learning (DL), and artificial intelligence (AI), into geospatial analytics. This role involves leading cross‑functional teams to design, build, and deliver advanced geospatial data and analytics solutions, enhancing operational efficiency and strategic decision‑making. We place a strong emphasis on expertise in current technologies and processes, coupled with a proven track record of innovation. Ideal candidates will have extensive experience in geospatial data management and analytics, and demonstrate a passion for developing groundbreaking analyses, processes, or tools utilizing advanced data science techniques. Key Responsibilities The Principal Geospatial Data Scientist leads complex geospatial data projects by deploying advanced analytical techniques and modeling. This role involves transforming raw spatial data into strategic insights to drive decision‑making and business innovation. Acquire and preprocess geospatial data from diverse sources, including satellite imagery, GIS, vendors, and governmental agencies; automate workflows where feasible. Develop and apply sophisticated statistical models and machine learning algorithms to perform large‑scale spatial data analyses. Design and implement dynamic visualizations-apps, dashboards, maps, and charts-to effectively communicate geospatial insights to non‑technical audiences. Collaborate with cross‑functional stakeholders to discern data requirements and develop tailored solutions. Construct predictive models to forecast spatial trends and patterns; continuously refine and advance model efficacy. Synthesize varied data sources into unified geospatial datasets; ensure data integrity through routine audits and quality assurance. Stay abreast of cutting‑edge geospatial analytics techniques and GIS technology advancements. Innovate by exploring new data sources and methodologies within geospatial analysis. Perform additional job‑related duties as necessary. Preferred Qualifications Possess expert knowledge of coordinate reference systems, including their reprojections and conversions, with a focus on understanding the implications of accuracy and performance impact on large‑scale geospatial data analytics. Proven experience in national or global scale data analysis and modeling. Proficient in programming languages, notably Python; familiarity with version control systems like Git and Agile methodologies. Expertise in Safe Software FME and Esri Enterprise GIS platforms, as well as cloud computing environments like AWS, leveraging Kubernetes. Extensive experience with machine learning, deep learning, and artificial intelligence applications. Ability to coordinate multifaceted analysis projects with various subject matter experts to achieve cost‑effective and competitive outcomes. Background in the Energy sector, particularly in Oil & Gas, Renewables, or Utilities. Desired Qualifications GISP and/or ASPRS CMS Certifications DASCA or similar certification Master's Degree Doctoral Degree Experience: 10+ years Job Overview This position is responsible for leading the development of algorithms, modeling techniques, and optimization methods that support many aspects of NextEra and FPL business. Employees in this role use knowledge of machine learning, optimization, statistics, and applied mathematics along with abilities in software engineering with a focus on distributed computing and data storage infrastructure (i.e., “Big Data”). Job Duties & Responsibilities Provide thought leadership, set technical strategy, and identify possible uses of data science methods Explain methods and results to upper‑level executives Develop machine learning, optimizations or other modeling solutions Oversee related employee work, learn new techniques being developed Prepares comprehensive documented observations, analyses and interpretations of results including technical reports, summaries, protocols and quantitative analyses Works with big data and distributed computing platforms Develops software and contributes to product development Performs other job‑related duties as assigned Required Qualifications Bachelor's Degree Experience: 6+ years Preferred Qualifications Master's Degree Doctoral Degree NextEra Energy offers a wide range of benefits to support our employees and their eligible family members. Click here to learn more. Employee Group: Exempt Employee Type:Full Time Job Category: Science, Research, and Technology Organization: NextEra Energy Project Management, LLC Relocation Provided: Yes, if applicable NextEra Energy is an Equal Opportunity Employer. Qualified applicants are considered for employment without regard to race, color, age, national origin, religion, marital status, sex, sexual orientation, gender identity, gender expression, genetics, disability, protected veteran status or any other basis prohibited by law. NextEra Energy provides reasonable accommodation in its application and selection process for qualified individuals, including accommodations related to compliance with conditional job offer requirements, consistent with federal, state, and local laws. Supporting medical or religious documentation will be required where applicable and permitted by applicable law. To request a reasonable accommodation, please send an e‑mail to recruiting-coordinator.sharedmailbox@nexteraenergy.com , providing your name, telephone number and the best time for us to reach you. Alternatively, you may call 1‑844‑694‑4748. Please do not use this line to inquire about your application status. NextEra Energy will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. NextEra Energy does not accept any unsolicited resumes or referrals from any third‑party recruiting firms or agencies. Please see our policy for more information. Nearest Major Market: Palm Beach Nearest Secondary Market: Miami Job Segment: Nuclear, Energy #J-18808-Ljbffr

A major energy company in Juno Beach seeks a Principal Geospatial Data Scientist to integrate advanced analytics into geospatial projects. The ideal candidate will have extensive experience in geospatial data management and analytics, employing machine learning and statistical models to enhance operational efficiency. Responsibilities include leading complex projects, collaborating with diverse teams, and developing sophisticated visualizations. This impactful role offers opportunities to innovate within a rapidly evolving energy sector. #J-18808-Ljbffr

A technology company specializing in agricultural solutions is seeking a Senior Engineer to tackle complex challenges in distributed systems and horticultural science. You will design and optimize a core data processing engine, ensure data integrity, and drive technical innovation. Ideal candidates will have over 5 years of software engineering experience and deep knowledge of Python and PostgreSQL, among other key skills. Join us to make a real impact in sustainable agriculture. #J-18808-Ljbffr

Select how often (in days) to receive an alert: Company: hawaiianel We recognize our competitive advantage -- our people. We believe in our people, who share our vision of meeting the needs of our employees, customers, and communities and who carry out the continued success of the company. Our employees are committed to the company's foundational values: integrity, excellence, teamwork, environmental stewardship, and community commitment. In turn, we invest in our employees, providing opportunities for challenge and advancement and offering a competitive compensation package. Posting End Date: This position will remain open until filled. Early applications are highly encouraged. JOB FUNCTION Leverages advanced data science methodologies to assess and predict fire risk across Hawaiian Electric's service territories. Develops models integrating weather, fuel load, and environmental data to assess wildfire risks and develop mitigation strategies. Provides actionable insights for infrastructure protection, emergency response planning, and long-term grid resilience. Supports operational decision‑making through predictive analytics and geospatial intelligence. ESSENTIAL FUNCTIONS Designs and implements computational models for fire risk prediction using weather, climate, and environmental data. Collaborates with meteorologists, field operations, and other teams to assess wildfire risk based on conditions and other environmental factors. Advises on infrastructure protection measures, including undergrounding lines, fire‑resistant materials, and vegetation management. Develops rapid response strategies and reduction projects, including Public Safety Power Shutoffs (PSPS) in high‑risk areas. Monitors and analyzes GIS data for wildfire tracking and risk assessment. Supports wildfire mitigation planning and coordination with operational teams. Prepares reports on fuel conditions, risk assessments, and mitigation activities. Presents findings to stakeholders and management. Analyzes large datasets related to fire risk, grid infrastructure, and environmental conditions. Conducts fieldwork to collect samples from various locations, including forests, grasslands, and urban interfaces. Analyzes collected samples to determine moisture content, fuel load, and other critical parameters that influence wildfire behavior. Maintains accurate records of sample data and analysis results. Utilizes GIS and other data management tools to map and track fuel conditions. Supports fire investigations with data‑driven insights. Develops dashboards, tools, and visualizations to inform leadership and guide strategic decisions. Prepares and delivers presentations to senior management. Provides internal training and support to stakeholders on fire data analytics. Emergency Response Support Participates in Company emergency response activities as assigned, including any activities required to prepare for such emergency response. Provides analytical support during wildfire events and other emergencies. BASIC QUALIFICATIONS Knowledge Requirements Bachelor's degree in Forestry, Environmental Science, Physics, Analytics, Data Science, Mathematics, Fire Science, or a related field. Experience with wildfire behavior modeling preferred. Proficiency in GIS and data management tools and data libraries. Strong working knowledge of Python and SQL. Familiarity with data governance and industry best practices. Skills Requirements Ability to adapt in a fast‑paced, dynamic environment. Skilled in translating complex data into actionable insights and visualizations. Strong analytical, conceptual, and administrative capabilities. Effective cross‑functional collaboration and stakeholder engagement. Excellent written, verbal, and presentation skills. High emotional intelligence and discretion in handling sensitive issues. Must have or be able to qualify for a State of Hawaii driver's license. Must meet the standards for driving positions statedin the Hiring Standards for Driving Positions policy. These standards may be adjusted periodically to meet business and safety objectives. Experience Requirements Several (3‑5) years wildfire mitigation, data analytics, statistics, or data mining technologies. Role: PROFESSIONAL Number of Vacancies: 1 Location: Honolulu - Oahu Hiring Range: The hiring range for the Fire Data Scientist - Oahu [Req ID 10009] position is $87,400.00 to $111,500.00. The person selected will be placed according to his/her skills and qualifications. About Hawaiian Electric Companies Hawaiian Electric Companies provide electricity and services to 95 percent of the state's 1.4 million residents. The company is also one of the state's leading employers and a major contributor and supporter of community and educational programs. The demand for power that has fueled the growth of the Hawaiian Islands has been met by Hawaiian Electric Companies for well over a century. And as the next millennium unfolds, the company is committed to providing quality service and seeking clean local energy sources to power generations of Hawaii families and businesses to come. Visit us at**************************** Interested individuals should apply online. The application must clearly indicate the demonstrated experience/knowledge/skills/abilities the candidate possesses which specifically qualifies him/her for the position. Applicant Certification 1. Authorize the Hawaiian Electric Companies to confirm all statements contained in the application and/or any materials submitted and made a part of the application as they relate to the position and to the extent permitted by law; 2. Authorize and consent to, without reservation, the Hawaiian Electric Companies sharing any and all information regarding previous or present employment, educational training or personal information from their records and from any other source with the hiring department or subsidiary company; 3. Release, discharge, and hold harmless, Hawaiian Electric Companies, from any and all liability for any damage which may be claimed as a result of furnishing such information to the hiring department or subsidiary company; 4. Authorizes release and transfer of all personnel records to be maintained by the hiring company in the event of an inter‑company transfer; 5. Authorize, direct, and consent to Hawaiian Electric Companies and/or its authorized agents to conduct investigations into candidates' background. These investigations may include, but are not limited to searches for information about applicants; record of criminal convictions to the extent permitted by law, education records, professional certifications, personal character references, and employment history. EEO Statement Hawaiian Electric Companies is an equal opportunity employer, including disability and protected veteran status. Hawaiian Electric Companies complies with all applicable laws, including Title I of the Americans with Disabilities Act. Any request for reasonable accommodation needed during the application process should be communicated by the candidate to the HR Service Center at **************. Affiliate Disclaimer Hawaiian Electric Company, Inc., Maui Electric Company, and Hawaii Electric Light (“Company”) are Hawaii Public Utilities Commission (“PUC”) regulated companies. The disclosure relating to Affiliate Transaction Requirements that follows is made pursuant to the PUC's Decision and Order No. 35962, issued on December 19, 2018, and subsequently modified by Order No. 36112, issued on January 24, 2019 in Docket No. 2018‑0065. By submitting your application, you understand and acknowledge that, if you are hired by the Company and subsequently transferred, assigned or otherwise employed by an Affiliate, said Affiliate will be required to make a one‑time payment to the Company in an amount up to twenty‑five percent (25%) of your base annual compensation. In addition, if you are hired by the Company and subsequently transferred, assigned or otherwise employed by an Affiliate or an Affiliate‑Related Entity, for a period of one year, you cannot appear in negotiations or otherwise interact directly with the Company or work on the same matter that you worked on while with the Company. Affiliate is defined as “any person or entity that possesses an ‘affiliate interest' in a utility as defined by section 269‑19.5, Hawaii Revised Statutes (“HRS”), including a utility's parent holding company, except as otherwise provided by HRS section 269‑19.5(h).” Affiliate‑Related Entity is defined as “a third party that provides electricity‑related services in a regulated utility's service territory that has a material financial, operational, or ownership interest with an unregulated affiliate of the utility and of whom the utility has reasonable knowledge.” For a current list of all Affiliates and Affiliate‑Related Entities, please see: ************************************************************************************************** This list may be amended, updated or revised from time to time without notice. #J-18808-Ljbffr

A leading utility company in Hawaii is seeking a Fire Data Scientist to utilize advanced data science methodologies for fire risk assessment and prediction. The successful candidate will collaborate on infrastructure protection strategies and support emergency response operations. A bachelor's degree in a relevant field and experience in data analytics are required, along with proficiency in GIS tools, Python, and SQL. #J-18808-Ljbffr

Position: Data Transformation Developer Location: 19775 Belmont Executive Plaza Suite 200 Ashburn, VA Job Id: 828 # of Openings: 1 TITLE: DATA TRANSFORMATION DEVELOPER LOCATION: ASHBURN, VA POSITION SUMMMARY: The Data Transformation Developer is responsible for developing high-quality data transformations, analytics solutions, dashboards, and reports that enable decision-making across CPG. This role bridges data engineering and analytics, building robust data pipelines in NetSuite Analytics Warehouse (NSAW). Leveraging data from multiple sources to create user-friendly reporting and visualization across all levels of the organization. ESSENTIAL DUTIES AND RESPONSIBILITIES: To perform this job successfully, an individual must be able to perform the following satisfactorily; other duties may be assigned. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Ability to work with multiple levels within the organization to document and collect requirements and then translate these requirements into intuitive, actionable reporting solutions through NetSuite Analytics Warehouse (NSAW). Create standards for reporting, dashboards, and visualization solutions. Creates reusable data models that are aligned to governance and department standards. Document business definitions, data logic and repot specifications. Create standards around change management for data models and NSAW. Validate and ensure data accuracy, consistency and reliability across all data models and reporting. Create documentation, hands on training and recorded training to increase end user acceptance and engagement. Other duties as assigned. QUALIFICATIONS: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Education/Experience: Bachelor's degree in computer information systems, or related field. 5-10 years hands on experience. Experience with Power BI, Tableau, NetSuite Analytics Warehouse, or other major Business Intelligence Tools. Transforming complex enterprise data into usable models, and visual designs for end users. Effective analytical thinking and problem-solving skills, with ability to translate business questions into analytical requirements Effective communication skills for partnering with non-technical stakeholders and document, validate and provide quality assurance skills. Must be a US Citizen Excellent verbal and written communication skills. Proficient in Microsoft Office Suite or related software. Excellent organizational skills and attention to detail. Excellent interpersonal skills. Certificates and Licenses: Microsoft Office Suite or related software. Supervisory Responsibilities: No supervisory responsibilities for this position. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Prolonged periods of sitting at a desk and working on a computer. Must be able to lift 15 pounds at times. Frequently required to stand, walk, stoop, kneel, crouch, or crawl. Benefits to Joining Our Team CPG offers a competitive and comprehensive package that includes additional benefits beyond enhanced medical, dental, and vision coverage Health Benefits - (Medical, Dental & Vision Insurance) Flexible Spending Account Options 401K Plan Employer paid Life & Disability Insurance Paid Time Off Employee Referral Program Employee Assistance Program (EAP) The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor. CPG is an equal opportunity employer. We will consider all employment applicants without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. Pay Range: $85,996 - $129,050 per year Apply for this Position

Crusoe's mission is to accelerate the abundance of energy and intelligence. We're crafting the engine that powers a world where people can create ambitiously with AI - without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that's setting the pace for responsible, transformative cloud infrastructure. About This Role: As a Principal Software Engineer on the Managed AI team at Crusoe, you'll have a pivotal role in shaping the architecture and scalability of our next-generation AI inference platform. You will lead the design and implementation of core systems for our AI services, including resilient fault-tolerant queues, model catalogs, and scheduling mechanisms optimized for cost and performance. This role gives you the opportunity to build and scale infrastructure capable of handling millions of API requests per second across thousands of customers. From day one, you'll own critical subsystems for managed AI inference, helping to serve large language models (LLMs) to a global audience. As part of a dynamic, fast-growing team, you'll collaborate cross-functionally, influence the long-term vision of the platform, and contribute to cutting-edge AI technologies. This is a unique opportunity to build a high-performance AI product that will be central to Crusoe's business growth. What You'll Be Working On: Design and Development: Lead the design and implementation of core AI services, including: Resilient fault-tolerant queues for efficient task distribution. Model catalogs for managing and versioning AI models. Scheduling mechanisms optimized for cost and performance. High-performance APIs for serving AI models to customers. Scalability and Performance: Build and scale infrastructure to handle millions of API requests per second. Optimize AI inference performance on GPU-based systems. Implement robust monitoring and alerting to ensure system health and availability. Collaboration and Innovation: Collaborate closely with product management, business strategy, and other engineering teams. Influence the long-term vision and architectural decisions of the AI platform. Contribute to open-source AI frameworks and participate in the AI community. Prototype and iterate on new features and technologies. What You'll Bring to the Team: Strong Engineering Fundamentals: Advanced degree in Computer Science, Engineering, or a related field. Demonstrable experience in distributed systems design and implementation. Proven track record of delivering early-stage projects under tight deadlines. Expertise in using cloud-based services, such as, elastic compute, object storage, virtual private networks, managed database, etc. AI/ML Expertise: Experience in Generative AI (Large Language Models, Multimodal). Familiarity with AI infrastructure, including training, inference, and ETL pipelines. Software Engineering Skills: Experience with container runtimes (e.g., Kubernetes) and microservices architectures. Experience using REST APIs and common communication protocols, such as gRPC. Demonstrated experience in the software development cycle and familiarity with CI/CD tools. Preferred Qualifications: Proficiency in Golang or Python for large-scale, production-level services. Contributions to open-source AI projects such as VLLM or similar frameworks. Performance optimizations on GPU systems and inference frameworks. Personal Attributes: Proactive and collaborative approach with the ability to work autonomously. Strong communication and interpersonal skills. Passion for building cutting-edge AI products and solving challenging technical problems. Benefits: Industry competitive pay Restricted Stock Units in a fast growing, well-funded technology company Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents Employer contributions to HSA accounts Paid Parental Leave Paid life insurance, short-term and long-term disability Teladoc 401(k) with a 100% match up to 4% of salary Generous paid time off and holiday schedule Cell phone reimbursement Tuition reimbursement Subscription to the Calm app MetLife Legal Company paid Commuter FSA benefit of $200 per month Compensation: Compensation will be paid in the range of $256,000 - $320,000 a year + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. #J-18808-Ljbffr

Crusoe's mission is to accelerate the abundance of energy and intelligence. We're crafting the engine that powers a world where people can create ambitiously with AI - without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that's setting the pace for responsible, transformative cloud infrastructure. About the Role: We are seeking Staff/Senior Staff Software Engineers to architect, design, and develop Cloud Infrastructure management systems and platforms; and deliver E2E use cases and workflows for a vertically integrated AI-First Crusoe Cloud. You will play a crucial role in building systems and platforms to efficiently plan, monitor, deploy and operate Crusoe Cloud and deliver on key business revenue metrics. You'll be instrumental in evaluating and hands‑on implementing and building platforms, tools, and frameworks, focusing on reliability, scalability, operational efficiency, and ease of use. Your expertise will be vital in streamlining our infrastructure planning and management processes and workflows, driving efficiency, and enhancing our cloud platform's overall performance and reliability as we dramatically scale out our Crusoe Cloud products and services by 10X+. As a part of your responsibilities, you'll develop and refine technical designs and architecture, mentor fellow engineers, and actively contribute to team growth in collaboration with engineering managers. What You'll Be Working On: Collaborate extensively across teams to architect, design, implement physical infrastructure management software systems, availability platforms, and frameworks to meet E2E use cases of our customers we host on our AI Infrastructure and provide best customer experience. Champion the reliability, scalability, and security of our systems and platforms - you'll be the guardian of our infrastructure! Develop workflows to drive efficiency and meet key business objectives and metrics. Design and implement high‑performing, highly available cloud architectures optimizing for both performance and cost‑effectiveness. Streamline cloud deployment, configuration management, and operations by developing and maintaining effective platforms, interfaces, and automation tooling. Actively contribute to the evolution of our platform, collaborating closely with cross‑functional development teams to ensure smooth integration and deployment. What You'll Bring to the Team: A Bachelor's degree in Computer Science or Software Engineering, and 10+ years of relevant experience. 10+ years of experience building and operating distributed systems at scale. Proven experience with building reliable, scalable, efficient, and secure cloud platforms and systems and effectively running them in production environments. Fluency in programming languages such as Go, Rust, Java or C++. A collaborative approach (platform mindset) to working with development and operations teams to build and maintain a robust platform and effectively drive adoption. Understanding of cloud security best practices and the ability to implement secure configurations. Excellent troubleshooting and problem‑solving skills to tackle complex infrastructure issues. Excellent communication skills Embody the Company values. Bonus Points: Hands‑on experience deploying, managing, and troubleshooting Kubernetes clusters. Experience working in a fast‑paced, startup environment A passion for building an energy‑first scalable AI Infrastructure. A passion for sustainability and innovation - Crusoe Energy is revolutionizing clean energy production, and we're looking for individuals who share our enthusiasm! Benefits: Industry competitive pay Restricted Stock Units in a fast growing, well‑funded technology company Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents Employer contributions to HSA accounts Paid Parental Leave Paid life insurance, short‑term and long‑term disability Teladoc 401(k) with a 100% match up to 4% of salary Generous paid time off and holiday schedule Cell phone reimbursement Tuition reimbursement Subscription to the Calm app MetLife Legal Company paid commuter benefit; $300 per month Compensation: Compensation will be paid in the range of $209,000 - $253,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. #J-18808-Ljbffr

Unit is an AI video company. We're building GTV, a consumer product that combines creativity and automation to deliver a next-generation video experience. Our team includes senior people from Instagram, TikTok, and NVIDIA. We're based in San Francisco and backed by Khosla Ventures, Air Street Capital, and other leaders in AI. Role Overview We're looking for an experienced Backend Software Engineer to join the GTV team. You'll work closely with researchers, engineers, and designers to build our core systems, including video generation workflows, reinforcement learning infrastructure, real-time data pipelines, and more. This role is for someone who loves building high-performance systems and wants to reimagine the future of media. Responsibilities Design and develop scalable backend systems that power the creative engine behind GTV Partner with researchers, engineers, and designers to develop new product features and APIs Build core infrastructure for custom models, agentic workflows, and reinforcement learning loops Drive reliability and efficiency of distributed systems with automated testing, performance benchmarking, and end-to-end observability Requirements 5+ years of software engineering experience with proficiency in Python Industry experience with AWS (S3, Lambda, RDS, SQS, ECS), FastAPI, Docker, CI/CD pipelines, and other backend services Deep understanding of generative models, distributed systems, information retrieval, large-scale data processing, and asynchronous workflows Proven ability to debug complex systems, navigate ambiguity, and take ownership of challenging problems Excellent communication and collaboration with research, engineering, and design teams Nice To Have Prior work experience at early-stage or high-growth startups Familiarity with video generation, encoding, playback, and distribution Background in generative AI and consumer-facing products Compensation $200K-$250K base salary Competitive equity grant Top-tier benefits (medical, dental, and vision) Daily dinner stipend Relocation support #J-18808-Ljbffr

Unit is an AI video company. We're building GTV, a consumer product that combines creativity and automation to deliver a next-generation video experience. Our team includes senior people from Instagram, TikTok, and NVIDIA. We're based in San Francisco and backed by Khosla Ventures, Air Street Capital, and other leaders in AI. Role Overview We're looking for an experienced Full Stack Software Engineer to join the GTV team. You'll work closely with researchers, engineers, and designers to build our core products - taking ideas from prototype to launch. This role is for someone who loves building zero-to-one products and wants to reimagine the future of media. Responsibilities Design and develop full-stack products for GTV, including beautiful user interfaces, robust APIs, and scalable infrastructure Partner with researchers, engineers, and designers to integrate generative models and unlock new consumer use-cases Build high-quality product experiences with a focus on latency, usability, and visual craftsmanship Work with customers and creatives to understand their needs and translate them into effective product solutions Requirements 3+ years of software engineering experience with proficiency in frontend (NextJS, Tailwind) and backend (NodeJS, Python) Industry experience with Vercel, AWS (S3, Lambda, RDS, SQS, ECS), FastAPI, Docker, CI/CD pipelines, and other cloud services Deep understanding of UX design principles, real-time applications, API design patterns, generative models, and distributed systems Proven ability to debug complex systems, navigate ambiguity, and take ownership of challenging problems Excellent communication and collaboration with research, engineering, and design teams Bonus Prior work experience at early-stage or high-growth startups Familiarity with video generation, encoding, playback, and distribution Background in generative AI and consumer-facing products Compensation $175K-$250K base salary Competitive equity grant Top-tier benefits (medical, dental, and vision) Daily dinner stipend Relocation support #J-18808-Ljbffr

Crusoe's mission is to accelerate the abundance of energy and intelligence. We're crafting the engine that powers a world where people can create ambitiously with AI - without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that's setting the pace for responsible, transformative cloud infrastructure. About the Role: We are actively seeking an exceptional Staff Software Engineer to join our cloud software team, focusing specifically on building and operating Slurm as a fully managed cloud service within Crusoe Cloud. This role is crucial for delivering next-generation orchestration capabilities to power GPU-accelerated and high-performance computing (HPC) at scale. Your expertise will be instrumental in designing and scaling our carbon-reducing operating model, and advancing our AI training clusters to lead the industry in reliability and performance. You will shape the technical direction of systems that allow customers to run advanced workloads across CPUs, NVIDIA and AMD GPUs, and high-performance networking environments. You will be involved in writing and reviewing code, contributing to proposals, and drafting architecture documents. You will evaluate tools and frameworks, considering their impact on reliability, scalability, operational costs, and ease of adoption. What You'll Be Working On: Lead the development and engineering of our managed Slurm offering, providing a seamless experience for AI/ML and HPC customers who rely on robust Slurm job scheduling. Contribute to the development of scalable and robust software solutions, closely aligning with the strategic objectives outlined in the Crusoe Cloud roadmap. Design, build, and maintain Kubernetes operators and controllers dedicated to managing the lifecycle, configuration, and state of large-scale Slurm clusters. Drive the integration of GPU acceleration in the Slurm environment, including device plugin architecture, GPU operators, accelerator-aware scheduling, and resource allocation. Ensure that high-performance networking technologies, such as InfiniBand and RoCE, are correctly leveraged for distributed GPU workloads running through Slurm. Implement and manage features such as multi-tenancy, cluster lifecycle management, auto-scaling, and high availability for the managed Slurm control plane services. Develop scalable systems to compete with leading managed services. Support the development of your peers by sharing knowledge and providing guidance in technical discussions. What You'll Bring to the Team: You have 7+ years of experience working in software engineering, with strong experience in Systems Engineering. Experience in distributed systems, cloud, or HPC environments is a must You possess 2+ years of programming experience in GoLang. Strong proficiency in other systems languages (Rust, C++, Python for HPC tooling) is also beneficial. You have extensive experience with Kubernetes and Linux Engineering and debugging. You possess deep knowledge of Slurm (Simple Linux Utility for Resource Management) administration and the architecture required for managing compute jobs in high-performance environments. You are skilled in infrastructure as code and familiar with systems-level challenges, ideally with experience utilizing Terraform. You understand Argo, CI/CD, and Automated Testing pipelines. You can design system architecture, taking ownership of system architecture, including CI/CD pipelines, while ensuring adherence to security standards. Strong knowledge of container networking (CNI plugins, service meshes) and Linux networking fundamentals. Familiarity with GPU integration in Kubernetes, including device plugins and GPU operators. You have excellent communication skills, both verbal and written. Compensation Range Compensation will be paid in the range of $185,000 - $224,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. #J-18808-Ljbffr

Cruose's mission is to accelerate the abundance of energy and intelligence. We're crafting the engine that powers a world where people can create ambitiously with AI - without sacrificing scale, speed, or sustainability. Be part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that's setting the pace for responsible, transformative cloud infrastructure. About This Role: Crusoe Cloud seeks a highly skilled and experienced Staff Software Engineer to lead the development and execution of our cutting-edge Software Defined Networking strategy. You will play a pivotal role in driving innovation and performance improvements within our network infrastructure by leveraging advanced technologies such as XDP/EBPF, DPDK, SmartNICs, and DPUs/IPUs. What You'll Be Working On: Develop and execute the roadmap for Crusoe Cloud's Software Defined Networking strategy. Lead the engineering team through all phases of the software development lifecycle, including architecture decisions, design processes, design reviews, code reviews, and implementation tasks. Collaborate closely with the network infrastructure organization to develop and deploy industry-leading networking solutions. Lead the design, development, and support of Linux Kernel and driver components, focusing on system architecture and optimization. Drive the adoption and integration of kernel bypass technologies such as XDP/EBPF, AF_XDP, and DPDK. Deeply understand and leverage network accelerators such as Mellanox/Nvidia SmartNICs (ConnectX6/7), DPU Bluefield3, and Intel IPU. Collaborate with cross-functional teams across the organization to ensure successful project delivery and operational excellence. What You'll Bring to the Team: 6+ years of proven experience in building and operating high-performance networking systems in a production environment. Strong proficiency in system programming languages such as C, C++, and/or Rust. Deep expertise in Linux Systems Internals, including kernel architecture, memory management, and device drivers. In-depth knowledge of network programming principles and packet processing pipelines. Hands-on experience with kernel bypass technologies like XDP/EBPF, AF_XDP, and DPDK. Proven understanding of TCP/IP and networking accelerators such as Mellanox/Nvidia SmartNICs, DPU Bluefield3, and Intel IPU. Familiarity with technologies like SR-IOV, vDPA, and scalable functions. Strong background in kernel or embedded development, with a focus on the Linux kernel. Experience with Open vSwitch, Openflow, and Open Virtual Networking technologies. Proven ability to effectively communicate and collaborate with both technical and non-technical stakeholders. Demonstrated commitment to professional software engineering best practices, including coding standards, code reviews, source control management, testing, and operations. A strong track record of contributions to the open-source community (e.g., Open vSwitch/OVS, Open Virtual Networking/OVN, Multus, Cilium). Bonus Points: Advanced degree in Computer Science, Engineering, or a related field. Proven leadership experience in a technical role. Strong analytical and problem-solving skills. Experience with cloud networking platforms (AWS, Azure, GCP) and virtualization technologies (VMware, KVM). Benefits: Industry competitive pay Restricted Stock Units in a fast growing, well-funded technology company Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents Employer contributions to HSA accounts Paid Parental Leave Paid life insurance, short-term and long-term disability Teladoc 401(k) with a 100% match up to 4% of salary Generous paid time off and holiday schedule Cell phone reimbursement Tuition reimbursement Subscription to the Calm app MetLife Legal Company paid Commuter FSA benefit of $200 per month Compensation: Compensation will be paid in the range of $185,000 - $224,000 per year + Bonus. Restricted Stock Units are included in all offers. Compensation will be determined based on the applicant's knowledge, education, experience, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. #J-18808-Ljbffr

Crusoe's mission is to accelerate the abundance of energy and intelligence. We're crafting the engine that powers a world where people can create ambitiously with AI - without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that's setting the pace for responsible, transformative cloud infrastructure. About This Role: The Crusoe Cloud Software Development team is seeking a passionate and experienced Senior Staff Software Engineer specializing in Hypervisor Virtualization and Virtualization Research. This pivotal role is critical in the design, development, and optimization of our virtualization technologies, specifically tailored for an all‑AI cloud infrastructure. A deep understanding of hypervisor internals, CPU and memory virtualization, I/O virtualization, and performance optimization is essential for developing reliable, high‑performance, and secure virtualized environments that power our cutting‑edge AI products. This is a full‑time position. What You'll Be Working On: Hypervisor Development & Optimization: Design, develop, and optimize core hypervisor components (e.g., KVM, QEMU, or custom solutions) to achieve maximum performance and efficiency for AI workloads. This includes focusing on CPU, memory, and I/O virtualization techniques. Virtualization Research & Innovation: Conduct in‑depth research into advanced virtualization technologies, exploring novel approaches for isolating and accelerating AI compute, storage, and networking resources. Identify and prototype new virtualization features and enhancements to improve density, throughput, and latency. Virtual Hardware & Device Emulation: Develop and enhance virtual hardware components and device emulation, ensuring optimal performance and compatibility for specialized AI accelerators (e.g., GPUs, DPUs) within the virtualized environment. Performance Analysis & Tuning: Analyze and enhance the performance of the entire virtualization stack, from the hypervisor to the virtualized guest OS, with a specific focus on optimizing for AI/ML workloads. This includes profiling, bottleneck identification, and implementing low‑level optimizations. System‑Level Troubleshooting: Diagnose and resolve complex system issues within the virtualization layer. Work closely with hardware and guest OS teams to debug and resolve integration challenges. Code Review and Quality Assurance: Conduct thorough code reviews to ensure the highest level of software quality, reliability, and security within the hypervisor and virtualization components. Cross‑Functional Collaboration: Collaborate with other engineering teams, including hardware design, OS development, and AI/ML application teams to ensure cohesive and integrated product development. Technical Leadership: Provide technical guidance and mentorship to junior engineers, fostering a culture of technical excellence and collaborative problem‑solving within the virtualization team. What You'll Bring to the Team: Hypervisor Expertise: Proven deep knowledge of hypervisor internals (e.g., KVM, QEMU, Xen, or other bare‑metal hypervisors), including CPU virtualization (VT‑x/AMD‑V), memory virtualization (EPT/NPT, MMU), and I/O virtualization (SR‑IOV, virtio). Virtualization Concepts: Strong understanding of virtual machine lifecycle, live migration, snapshotting, and fault tolerance mechanisms. Linux Kernel Familiarity: Experience with Linux kernel internals as they pertain to virtualization, including device drivers, memory management, and scheduling within a virtualized context. Hardware Understanding: Familiarity with hardware architectures relevant to virtualization, including CPUs (x86, ARM), GPUs, and Smart NICs/DPUs. Experience with hardware offloads and acceleration for virtualization. Performance Optimization: Demonstrated ability to identify and resolve performance bottlenecks in complex virtualized systems. Experience with profiling tools and techniques. Debugging & Troubleshooting: Strong debugging skills in complex, distributed systems at the hypervisor and kernel levels. Bonus Points: Experience with virtualization specifically for AI/ML workloads, including GPU virtualization or direct pass‑through. Familiarity with container runtimes and their interaction with hypervisors. Contributions to open‑source virtualization projects. Experience with security hardening of hypervisors and virtual machines. Benefits: Industry competitive pay Restricted Stock Units in a fast growing, well‑funded technology company Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents Employer contributions to HSA accounts Paid Parental Leave Paid life insurance, short‑term and long‑term disability Teladoc 401(k) with a 100% match up to 4% of salary Generous paid time off and holiday schedule Cell phone reimbursement Tuition reimbursement Subscription to the Calm app MetLife Legal Company paid commuter benefit; $300 per month Compensation: Compensation will be paid in the range of $204,000 - $247,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. #J-18808-Ljbffr

Crusoe's mission is to accelerate the abundance of energy and intelligence. We're crafting the engine that powers a world where people can create ambitiously with AI - without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that's setting the pace for responsible, transformative cloud infrastructure. About This Role: As a Senior Staff Software Engineer on the Cloud Storage team, you will lead the development and execution of our storage strategy. You will work extensively with cloud storage primitives, utilizing advanced storage engineering concepts to drive innovation and performance improvements. What You'll Be Working On: Lead Storage Strategy Development and Execution: Define and execute the roadmap for the Crusoe Cloud storage strategy, aligning with overall business objectives. Lead Engineering Team: Serve as the engineering lead for the Cloud Storage team, collaborating with technology and engineering leadership to define and implement long-term strategic goals. Guide Engineering Practices: Provide technical leadership and guidance to the engineering team throughout the entire software development lifecycle, including architecture decisions, design reviews, code reviews, implementation tasks, and production support. Develop and Optimize Storage Infrastructure: Collaborate closely with the infrastructure organization to design, develop, and optimize industry-leading storage infrastructure solutions. Lead File System Development: Lead the development and maintenance of high-performance and reliable file systems, ensuring optimal performance and data integrity. Storage Architecture Design: Design and implement robust and scalable storage architectures, considering factors such as performance, reliability, availability, and cost-effectiveness. Cross-functional Collaboration: Foster strong collaboration with other teams across the organization, including infrastructure, software engineering, and product development. What You'll Bring to the Team: System Programming Expertise: Proven experience in system programming with languages such as C, C++, and/or Rust. Linux Systems Knowledge: Extensive knowledge of Linux Systems Internals and computer architecture. Cloud Storage Design & Development: Ability to design, develop, and deploy highly scalable and distributed cloud storage solutions. Storage Engineering Fundamentals: Strong understanding of storage engineering concepts, including data protection mechanisms (e.g., redundancy, replication, encryption), fault tolerance, and storage technologies (e.g., NVMe, SSDs). Storage Technologies: In-depth understanding of at least one of the following: block storage, object storage, and/or file storage. Storage Protocols: Familiarity with industry-standard storage protocols such as NFS, SMB, iSCSI, and NVMe‑oF. Software Engineering Best Practices: Expertise in professional software engineering practices, including coding standards, code reviews, source control management, build processes, testing, and operations. Open Source Contributions: Demonstrated track record of contributions to the open source community (e.g., Ceph, GlusterFS, OpenEBS). Communication & Collaboration: Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences. Bonus Points: Networking Fundamentals: Strong understanding of physical and software-defined networking concepts. Kernel/Embedded Development: Background in kernel or embedded development, particularly with the Linux kernel. Kubernetes & Cloud-Native Storage: Experience with Kubernetes CSI and cloud-native storage solutions. Infrastructure as Code: Exposure to Infrastructure as Code tooling (e.g., Ansible, Chef, Puppet, Terraform). Programming Languages: Programming experience in Java or Go. Leadership Experience: Proven leadership experience in a technical role. Analytical & Problem-Solving Skills: Strong analytical and problem-solving skills. Advanced Degree: Advanced degree in Computer Science, Engineering, or a related field. Benefits: Industry competitive pay Restricted Stock Units in a fast growing, well-funded technology company Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents Employer contributions to HSA accounts Paid Parental Leave Paid life insurance, short-term and long-term disability Teladoc 401(k) with a 100% match up to 4% of salary Generous paid time off and holiday schedule Cell phone reimbursement Tuition reimbursement Subscription to the Calm app MetLife Legal Company paid commuter benefit; $300 per month Compensation Range: Compensation will be paid in the range of $245,000 - $290,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. #J-18808-Ljbffr

About the Role We are looking for a highly skilled engineer with deep expertise in building and operating observability platforms at scale. You will design, develop, and run Crusoe's next-generation observability stack, enabling engineers to understand the internal state of distributed systems through metrics, logs, and traces. Your work will ensure reliability, performance, and actionable insights across Crusoe's global infrastructure and cloud platform. What You'll Be Working On Designing and operating scalable observability systems (metrics, logging, tracing) across multi-datacenter Kubernetes environments Architecting end-to-end telemetry pipelines, including ingestion, storage, querying, and visualization Extending monitoring and alerting with Prometheus, Alertmanager, Thanos/Cortex, Grafana, and OpenTelemetry Building scalable log collection and processing pipelines with Fluent Bit, Vector, Loki, or ELK/Opensearch stacks Implementing distributed tracing platforms (Tempo, Jaeger, OpenTelemetry) and integrating with service meshes, load balancers, and APIs Defining and driving adoption of SLOs, SLIs, and error budgets across services and teams Automating provisioning and scaling of observability infrastructure with Kubernetes, Terraform, and custom tooling (Go, Python) Ensuring reliability and cost efficiency of telemetry pipelines while supporting high-volume workloads (AI/ML, HPC clusters, GPU infrastructure) Embedding security best practices into observability platforms, including RBAC, TLS, secret management, and multi-tenant access controls Partnering with engineering teams to embed observability into applications, services, and infrastructure Mentoring engineers and shaping Crusoe's observability strategy and technical roadmap What You'll Bring to the Team 7+ years of experience in infrastructure or platform engineering, with a focus on observability and monitoring systems Deep expertise with metrics systems (Prometheus, Thanos, Mimir, Cortex), logging pipelines (Fluent Bit, Vector, Loki, ELK/Opensearch), and tracing platforms (Jaeger, Tempo, OpenTelemetry) Strong programming skills in Go or Python for automation, operators, and custom integrations Experience running observability platforms on Kubernetes and operating them at scale across multi-datacenter environments Proven ability to design, optimize, and scale telemetry pipelines handling high cardinality and high throughput data Solid understanding of distributed systems, performance engineering, and debugging complex workloads Familiarity with service meshes, networking, and workload instrumentation (Envoy, Istio, OpenTelemetry SDKs) Strong collaboration skills and the ability to influence engineering teams to adopt observability best practices Bonus Points Contributions to open source observability projects (Prometheus, OpenTelemetry, Grafana, Loki, etc.) Experience supporting AI/ML or GPU-heavy environments with high observability demands Knowledge of event-driven or streaming systems (Kafka, NATS, Pulsar) used in telemetry pipelines Experience implementing cost optimization strategies for large-scale observability platforms Background in incident response, chaos engineering, and reliability practices Benefits Industry competitive pay Restricted Stock Units in a fast growing, well-funded technology company Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents Employer contributions to HSA accounts Paid Parental Leave Paid life insurance, short-term and long-term disability Teladoc 401(k) with a 100% match up to 4% of salary Generous paid time off and holiday schedule Cell phone reimbursement Tuition reimbursement Subscription to the Calm app MetLife Legal Company paid commuter benefit; $300 per month Compensation Compensation will be paid in the range of $166,000 - $201,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. #J-18808-Ljbffr

Crusoe's mission is to accelerate the abundance of energy and intelligence. We're crafting the engine that powers a world where people can create ambitiously with AI - without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that's setting the pace for responsible, transformative cloud infrastructure. About This Role The Cloud Storage team at Crusoe seeks a Staff Software Engineer to lead the development and execution of our storage strategy. This role will be instrumental in driving innovation and performance improvements within our cloud storage infrastructure. You will work extensively with cloud storage primitives, utilizing advanced storage engineering concepts to build and operate high-performance, scalable, and reliable storage solutions. What You'll Be Working On Lead Engineering Efforts: Lead engineering efforts on cloud storage features by collaborating with product and engineering to define and execute features on the roadmap. Software Development: Write and review code, generate and review design documentation. Participate in qualifications and rollouts of software across the stack journeying from bare metal to user-facing APIs. Technical Leadership: Guide the engineering team through architecture decisions, design processes, design reviews, code reviews, and implementation tasks. Team Mentorship: Mentor and grow engineers on your team, fostering an environment of teamwork and continuous learning. Cross-Team Collaboration: Champion and lead initiatives across the engineering organization such as tech talks, open source development, and book clubs. Performance Optimization: Benchmark, analyze, and improve scale, performance, and resiliency issues. What You'll Bring to the Team Cloud Storage Expertise: Hands-on experience building and operating large scale, complex distributed cloud computing infrastructure products. Preferably, experience building redundant and fault tolerant storage solutions with backups, replication, encryption, and data protection mechanisms. Software Engineering Fundamentals: Knowledge of professional software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. Technical Proficiency: Strong experience with at least one application programming language like Java or Go. Exposure to Infrastructure as Code tooling with any of Ansible, Chef, Puppet, and/or Terraform. Knowledge of Linux Systems Internals and computer architecture. Communication & Collaboration: Strong communication and collaboration skills. Safety and Compliance: Must be able to pass a background check. Bonus Points Storage Technologies: Hands‑on experience with storage technologies such as NVMe, SSDs, and distributed storage systems. Storage Protocols: In-depth understanding in at least one of block storage, object storage, and/or file storage. Familiarity with storage protocols like NFS, SMB, iSCSI, and NVMe-oF. Open Source Contributions: Demonstrated track record of contributions to the open source community (e.g., Ceph, GlusterFS, OpenEBS). System Programming: Proven experience in system programming with C, C++, and/or Rust. Networking: An understanding of physical and software‑defined networking concepts. Education: Advanced degree in Computer Science, Engineering, or a related field. Benefits Industry competitive pay Restricted Stock Units in a fast growing, well‑funded technology company Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents Employer contributions to HSA accounts Paid Parental Leave Paid life insurance, short‑term and long‑term disability Teladoc 401(k) with a 100% match up to 4% of salary Generous paid time off and holiday schedule Cell phone reimbursement Tuition reimbursement Subscription to the Calm app MetLife Legal Company paid commuter benefit; $300 per month Compensation Range Compensation Range: Compensation will be paid in the range of $155‑250k a year + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. #J-18808-Ljbffr

Crusoe's mission is to accelerate the abundance of energy and intelligence. We're crafting the engine that powers a world where people can create ambitiously with AI - without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that's setting the pace for responsible, transformative cloud infrastructure. About the Role: We are actively seeking an exceptional Senior Software Engineer for our cloud software team who will contribute to the operations of our cutting‑edge infrastructure. Your expertise will be instrumental in designing and scaling our carbon‑reducing operating model, as well as managing critical hardware, software, and network components. In this role, you will be involved in writing and reviewing code, contributing to proposals and architecture documents. You will evaluate tools and frameworks, carefully considering their impact on reliability, scalability, operational costs, and ease of adoption. Your expertise in orchestration and optimization will be instrumental in advancing our managed Kubernetes and AI training clusters, ensuring they lead the industry in reliability and performance. What You'll Be Working On: Contribute to the development of scalable and robust software solutions, closely aligning with the strategic objectives outlined in the Crusoe Cloud roadmap Work collaboratively with tech leads and engineers to create a dynamic environment where creativity and technical excellence are encouraged, leading to the development of cutting‑edge cloud solutions Continuously stay abreast of the latest trends and techniques in cloud software, incorporating these insights to keep Crusoe's offerings innovative While you won't have formal management responsibilities, you will support the development of your peers by sharing knowledge and providing guidance in technical discussions What You'll Bring to the Team: You have 5-7 years of experience working in software engineering, with strong experience in Systems Engineering You possess 2+ years of programming experience in GoLang You have experience with Kubernetes and Linux Engineering and debugging You are skilled in infrastructure as code and familiar with systems‑level challenges You have experience with Terraform and GCP (preferred) You understand Argo, CI/CD, and Automated Testing pipelines You can build and manage Kubernetes operators and controllers, developing and maintaining essential components that ensure the reliability and efficiency of the Kubernetes environment You can develop scalable systems to compete with leading services like Google Kubernetes Engine (GKE) and Amazon Elastic Kubernetes Service (EKS) You can oversee critical projects with broad impact, leading initiatives focused on networking, quality control, and automation to ensure optimal performance and reliability You can design system architecture, taking ownership of system architecture, including CI/CD pipelines, while ensuring adherence to security standards You have excellent communication skills, both verbal and written Benefits: Industry competitive pay Restricted Stock Units in a fast growing, well‑funded technology company Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents Employer contributions to HSA accounts Paid Parental Leave Paid life insurance, short‑term and long‑term disability Teladoc 401(k) with a 100% match up to 4% of salary Generous paid time off and holiday schedule Cell phone reimbursement Tuition reimbursement Subscription to the Calm app MetLife Legal Company paid commuter benefit; $300 per month Compensation Range: Compensation will be paid in the range of $180,000 - $210,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. #J-18808-Ljbffr

A leading technology firm in California is seeking a Senior Software Engineer to drive innovation in cloud software solutions. This role involves designing scalable systems, collaborating on development, and managing Kubernetes environments. Ideal candidates have 5-7 years in software engineering, strong GoLang skills, and a solid understanding of cloud technologies, including Kubernetes and Terraform. The company offers competitive pay, RSUs, and comprehensive benefits including health insurance and generous paid time off. #J-18808-Ljbffr

Requisition Number: 26657 Required Travel: 0 - 10% Employment Type: Full Time/Salaried/Exempt Anticipated Salary Range: $62,790. 00 - $77,808. 00 Security Clearance: Ability to Obtain Level of Experience: Entry Level This opportunity resides with Warfare Systems (WS), a business group within HII's Mission Technologies division. Warfare Systems comprises cyber and mission IT; electronic warfare; and C5ISR systems. HII works within our nation's intelligence and cyber operations communities to defend our interests in cyberspace and anticipate emerging threats. Our capabilities in cybersecurity, network architecture, reverse engineering, software and hardware development uniquely enable us to support sensitive missions for the U. S. military and federal agency partners. Meet HII's Mission Technologies Division Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense - the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that's right for you. Apply today. We look forward to meeting you. To learn more about Mission Technologies, click here for a short video: ************** com/732533072 Job Description HII is recognized as one of America's top large company employers and is driven by strong values and ethics that puts people's safety and well-being first. HII employees continuously rise to the challenge of setting the highest standard of professional and ethical conduct and perform in concert with our company slogan "Hard Stuff Done Right". Mission Technologies Division (HII-MT) is considering innovative candidates for a Software Engineer role. This individual will be responsible for the development of real-time software in support of hardware-in-the-loop (HITL) electronic warfare test systems. In addition to developing real-time software, the candidate will have the opportunity to learn DSP, modeling and simulation, and advanced radar techniques, among other skills. The growth potential of this position is only limited by the candidate's desire and ability to learn new skills. Candidates should possess good people skills to be able to work with a highly technical team of engineers and scientists solving challenging technical problems. Essential Job Responsibilities Designs, develops, documents, tests and debugs applications software and systems that contain logical and mathematical solutions. Conducts multidisciplinary research and collaborates with equipment designers and/or hardware engineers in the planning, design, development, and utilization of electronic data processing systems for product and commercial software. Determines computer user needs; analyzes system capabilities to resolve problems on program intent, output requirements, input data acquisition, programming techniques and controls; prepares operating instructions; designs and develops compilers and assemblers, utility programs, and operating systems. Ensures software standards are met. Minimum Qualifications + 0 years experience with Bachelors in related field; or High School Diploma or equivalent and 4 years relevant experience. + BS degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field + Knowledge of the basic principles of computer science + Experience in C/C++ programming + Good oral and written communication skills + Desire and ability to learn new skills + Clearance: Must be able to obtain/maintain a minimum of a SECRET Government Security Clearance and advanced security checks. Preferred Requirements + Experience with micro controllers and embedded systems + Experience with real-time software development + Familiarity with Linux + Familiarity with scripting languages such as Python + Digital Signal Processing experience + Experience with Matlab/Simulink + Experience with Labview + Experience with lab equipment, including oscilloscopes, power supplies, etc. Physical Requirements Adequate visual acuity and manual dexterity for meeting the requirements Software Engineer family. HII is more than a job - it's an opportunity to build a new future. We offer competitive benefits such as best-in-class medical, dental and vision plan choices; wellness resources; employee assistance programs; Savings Plan Options (401(k)); financial planning tools, life insurance; employee discounts; paid holidays and paid time off; tuition reimbursement; as well as early childhood and post-secondary education scholarships. Bonus/other non-recurrent compensation is occasionally offered for qualified positions, and if applicable to this role will be addressed by the recruiter at the screening phase of application. Why HII We build the world's most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals. Recognized as one of America's top large company employers, we are a values and ethics driven organization that puts people's safety and well-being first. Regardless of your role or where you serve, at HII, you'll find a supportive and welcoming environment, competitive benefits, and valuable educational and training programs for continual career growth at every stage of your career. Together we are working to ensure a future where everyone can be free and thrive. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law. Do You Need Assistance? If you need a reasonable accommodation for any part of the employment process, please send an e-mail to buildyourcareer@hii-co. com and let us know the nature of your request and your contact information. Reasonable accommodations are considered on a case-by-case basis. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address. Additionally, you may also call ************** for assistance. Press #3 for HII Mission Technologies.