Staff Software Engineer jobs at Clari - 4128 jobs

About Us Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive's next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we're addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world. The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we'll map a new way forward. Working together, we'll create a future that's more connected, more intelligent, more sustainable for everyone. Role Summary Architecting Android for Global Mobility The Navigation application is the most used application in infotainment. As part of the Mapping team you will help build a world class Android application that will ship to millions of customers around the world from Rivian to Porsche to VW and more. We're looking for an experienced Android engineer to help us architect, build, profile and maintain an Android based framework that empowers the next generation of Navigation applications. No maps or automotive experience necessary, we're looking for top Android developers first and foremost. Responsibilities You will be a technical leader, driving architectural decisions and delivering robust, high-performance software. Architect, design, and develop mission-critical applications on Android Automotive OS, ensuring technical excellence and scalability across diverse vehicle platforms. Create modular and scalable Android software frameworks, design patterns, and libraries that can adapt to a variety of different product lines and global use cases within the joint venture. Collaborate with engineering, product, and UI/UX teams to define the technical requirements and long-term vision for our core application features. Identify and resolve the most complex application and system-level Android bottlenecks, focusing on performance optimizations spanning the OS stack. Chase bugs through the entire Android stack; from low-level driver and hardware issues, across inter-process communications (IPC), to network services, and into various shared components and libraries. Maintain and contribute to reliable and repeatable testing suites to manage performance and quality across releases. Drive quality through rigorous code reviews, continuous integration/development, and the implementation of robust test code, including edge cases. Mentor and influence other engineers, growing the technical capabilities and best practices of the entire organization. Qualifications Expert Technical Depth Bachelor's degree in Computer Science or Software Engineering (MS preferred) or equivalent professional experience. Expertise with Android UI frameworks and architectural patterns. Expert-level Android application developer with 8+ years of experience building and shipping complex, production-quality applications. Exceptional proficiency in Kotlin. Demonstrable expertise in using Android and Native Linux APIs, including the ability to perform systems-level debugging and optimization. Advanced concurrency experience is mandatory, particularly with Kotlin Coroutines and Flows and multi-threaded programming. Extensive experience profiling and optimizing Android UI performance and memory usage in resource-constrained or embedded environments. Experience with Android Binders. Proficient in code versioning and CI tools (Git, Jenkins, GitLab). Leadership & Influence Ability to manage your workload with minimal supervision and autonomously lead large, ambiguous technical projects. Excellent interpersonal skills with the proven ability to collaboratively work with, mentor, and influence cross-functional, senior, and globally distributed teams. Top-notch teamwork and communication skills. Pay Disclosure Salary Range for Palo Alto, California Based Applicants: 186,000 USD - 232,500 USD (actual compensation will be determined based on experience, location, and other factors permitted by law). Benefits Summary: Rivian and Volkswagen Group Technologies provides robust medical/Rx, dental and vision insurance packages for full-time and part-time employees, their spouse or domestic partner, and children up to age 26. Full Time Employee coverage is effective on the first day of employment. Part-Time employee coverage is effective the first of the month following 90 days of employment. Equal Opportunity Rivian and Volkswagen Group Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. We are also committed to ensuring compliance with all applicable fair employment practice laws regarding citizenship and immigration status. Rivian and Volkswagen Group Technologies is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian and VW Group Technologies (Rivian and Volkswagen Group Technologies) may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (Candidate Personal Data). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian and Volkswagen Group Technologies may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian and Volkswagen Group Technologies may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian and Volkswagen Group Technologies affiliates; and (iii) Rivian and Volkswagen Group Technologies' service providers, including providers of background checks, staffing services, and cloud services. Rivian and Volkswagen Group Technologies may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please see our Candidate Data Privacy Notice (English) and Candidate Data Privacy Notice (Serbian) for more information. Please note that we are currently not accepting applications from third party application services. #J-18808-Ljbffr

Employment Type Full time Department Engineering Phantom is revolutionizing the way millions of people interact with the crypto ecosystem. Our self-custodial wallet offers a seamless, unified experience for managing accounts and tokens across Solana, Bitcoin, Ethereum, and Polygon, empowering users with a single, convenient solution. By integrating cutting-edge security features and launching innovative tools for an enhanced personalized user experience, Phantom is able to provide a next-generation, safe and easy to use self-custodial wallet for everyone. This strategy has allowed Phantom to achieve significant milestones including surpassing 15 million MAU's, reaching #1 in the Google play store finance category, and consistently trending as a Top 50 app across all categories, right next to X, PayPal, Coinbase, and ChatGPT. Responsibilities As a Backend Engineer, You'll play a critical role in shaping the technical direction of our backend systems and infra, with a focus on high-volume, high-availability solutions that meet the complex needs of modern financial platforms. Join us on our mission to make the digital economy safe and easy to use for everyone. Qualifications Proven backend engineering experience with distributed systems fundamentals. Direct ownership of paved path / service standards or major DevEx initiatives. CI/CD pipeline design and optimization for backend deployments. Familiarity with Kubernetes, AWS, and Infrastructure-as-Code (Terraform/Pulumi). Strong code quality, testing, and observability practices. Hands-on Rust experience Demonstrated interest in open and community-driven platforms Nice To Haves: Hands-on TypeScript experience 1+ years experience in a blockchain based product Kafka / Flink /Spark or other data streaming/storage platforms. Service mesh exposure. Crypto/web3 familiarity. Why Work with Us Opportunity We are a team of experienced builders in the blockchain and crypto industry. Our journey began from users seeking an easy, seamless path to accessing the crypto ecosystem. This passion fueled our exponential growth, allowing us to onboard over 15M+ active users in just over three years; with our user base growing weekly. Our dedication to a secure and seamless user experience has made us the leading wallet on Solana as well as our multi-chain approach enhances our platform's versatility, meeting the needs of a diverse and growing user base. By staying at the forefront of technology and user expectations, we continue to innovate and set industry standards on self-custodial crypto wallets. There has never been a better time to work in crypto to help shape the future of innovation with a focus around the wallet experience! First impressions matter: Wallets are responsible for a users first impression with crypto and onboarding new users into crypto. By ensuring that a user has a great first-time experience with crypto, we can help supercharge the growth of the entire ecosystem. Make crypto easier to navigate: There is no easy way for a user to discover and navigate all that crypto has to offer. Wallets have a unique opportunity to help users not only onboard to crypto but also stay retained by exploring new things to do. We live in a multi-chain world: We currently support Solana, Ethereum, Polygon and Bitcoin with more networks to come in the new future. We are focused on creating a unified, multi-chain crypto experience for users. Benefits Competitive salary and equity Comprehensive insurance (medical/dental/vision) - 100% covered Stipend for your ideal remote set-up Flexible hours and a supportive remote environment Unlimited vacation: Take time when you need it (and we really mean it!) 401(k) retirement plan Monthly wellness benefit Weekly meal benefit Global off-sites We strongly encourage candidates of all different backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we're eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We're committed to building an inclusive, supportive place for you to do the best work of your career. The target base salary for this role will range between $200,000 to $250,000 with the addition of equity and benefits. This is determined by a few factors including your skillset, prior relevant experience, quality of interviews and market factors (such as location) at the point in time of offer. #J-18808-Ljbffr

About This Role: As a Senior Staff 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 up to $259,000 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

About the Company Company Size: < !0 People Industry: Agentic AI, Automation, Enterprise Software Founding Year: 2023 Stage: Early-Stage Startup Tech Stack: Python, AWS, Kubernetes, Terraform,and other leading tools This early-stage team is building the foundation for enterprise AI-deploying autonomous agents that deliver specialized services with human-level quality. Founded by builders from companies like Google, Databricks, and Canva, they're moving fast to turn ambitious ideas into real-world systems. As one of the first backend/infra engineers, you'll design and build the systems that make enterprise AI deployments reliable, scalable, and secure. From APIs to authentication to metering and observability, you'll have huge ownership over the technical architecture that supports mission‑critical AI services. This is a high‑impact, zero‑to‑one role where you'll define foundational systems while staying deeply hands‑on. What You'll Tackle: Architect and build backend systems, APIs, and infrastructure that power enterprise‑grade AI agents. Lead projects across authentication, observability, metering, billing, and metadata systems. Own infrastructure automation (IaC), Kubernetes‑based deployments, and CI/CD pipelines. Design backend solutions with an eye toward reliability, security, scalability, and high performance. Collaborate closely with platform engineers, solutions architects, and product teams to deliver cohesive systems at scale. What You'll Bring: 6+ years building and scaling backend systems and infrastructure, ideally for enterprise SaaS or AI products. Deep experience with cloud platforms (AWS preferred), Kubernetes, Terraform (or similar), and CI/CD systems. Strong backend development experience in Python (or similar languages). A track record of designing secure, reliable APIs and distributed systems. High ownership mindset-comfortable architecting systems and getting your hands dirty building them. Based in or willing to work onsite with the team in NYC. Why You'll Want to Join: Founding seat at a venture‑backed, mission‑driven AI company. Directly shape the architecture and infrastructure from the ground up. Work alongside builders from top companies like Google and Databricks in a tight, fast‑moving team. Tackle complex, real‑world scaling challenges-not just prototypes. Competitive salary + strong equity upside at a high‑growth, well‑funded AI startup. $180,000 - $240,000 a year Compensation is salary range above + meaningful equity in an early‑stage venture‑backed startup, commensurate with level of experience. #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

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 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

About Invisible Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most. Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world's top AI companies, including Microsoft, AWS, and Cohere. Our successes span industries, from supply chain automation for Swiss Gear to AI‑enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets. Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest‑growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology. About The Role As a Staff Forward Deployed Engineer (FDE) at Invisible, you'll lead high‑impact, AI‑powered solutions that reshape how our clients operate their most critical workflows. You won't just build and deploy - you'll drive the strategy, architecture, and execution of end‑to‑end systems, working directly with clients. This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands‑on with models and close to the impact they generate. What You'll Do Partner with delivery and executive stakeholders to scope, design, and lead implementation of AI‑driven solutions Identify transformational opportunities in messy, ambiguous workflows and turn them into repeatable systems Lead architecture design and trade‑off discussions across performance, scalability, cost, and reliability Own projects from first discovery call through full deployment - including client‑facing delivery, internal coordination, and post‑launch iteration Build shared infrastructure, reusable components, and internal playbooks to level‑up the team Coach and mentor mid‑level engineers and help shape the culture of forward‑deployed AI engineering at Invisible What We Need 8+ years of software engineering experience, including significant time spent building data, ML, or backend systems Python & ML/LLM Frameworks: Deep proficiency in Python with hands‑on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems Deployment & Infrastructure: Skilled in full‑stack and API‑based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS) Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance Data Management: Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes Strong product and system design instincts - you understand business needs and how to translate them into technical architecture Experience building usable systems from messy data and ambiguous requirements Excellent communication and client‑facing skills; you've led conversations with technical and non‑technical stakeholders alike Proven experience owning projects from scoping through deployment in ambiguous, high‑stakes environments Be willing to be on‑call for our customers when situations arise Ability to travel roughly 25-50% of the time, sometimes short‑notice trips - primarily across North America with occasional international roll‑outs - to work directly on‑site with clients Strong engineering background demonstrated by a Bachelor's degree in Data Science, Computer Science and related fields OR equivalent professional experience What's In It For You Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity. * Offers will also include bonus + equity + benefits. Bonuses and equity are included in offers above entry level. Final compensation is determined by a combination of factors, including location, job‑related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process. What It's Like to Work at Invisible At Invisible, we're not just redefining work - we're reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what's possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won't just execute tasks - you'll build, innovate, and shape the future alongside world‑class clients pushing the boundaries of AI. We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We're not for everyone, and we're okay with that. If you're looking for predictable routines, this isn't the place for you. But if you're driven to create, thrive in dynamic environments, and want a front‑row seat to the AI revolution, you'll fit right in. Accessibility Statement We're committed to providing reasonable accommodations for individuals with disabilities. If you need assistance or accommodation due to a disability, please contact our Talent Acquisition team during the recruitment process at accommodation@invisible.email. Equal Opportunity Statement We're an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, or any other basis protected by law. Apply for this job To apply, please visit our careers page and submit your application through the online portal. All required application information will be captured during the process. #J-18808-Ljbffr

Mechanical design, the work done in CAD, is the rate-limiter for progress in the physical world. However, there are only 2-4 million people on Earth who know how to CAD. But what if hundreds of millions could? What if creating something in the real world were as easy as imagining the use case, or sketching it on paper? Backflip is building a foundation model for mechanical design: unifying the world's scattered engineering knowledge into an intelligent, end-to-end design environment. Our goal is to enable anyone to imagine a solution and hit “print.” Founded by a second-time CEO in the same space (first company: Markforged), Backflip combines deep industry insight with breakthrough AI research. Backed by a16z and NEA, we raised a $30M Series A and built a deeply technical, mission-driven team. We're building the AI foundation that tomorrow's space elevators, nanobots, and spaceships will be built in. If you're excited to define the next generation of hard tech, come build it with us. The Role We're looking for a Staff Software Engineer to help design, build, and ship the software backbone of Backflip's intelligent design environment. You'll work across the stack creating intuitive, high-performance interfaces that connect human creativity to cutting-edge AI. Your work will directly shape how designers, engineers, and creators interact with our mechanical engineering foundation model, turning advanced ML capabilities into real, usable tools. This is a hands-on, high-impact engineering role that blends architecture, infrastructure, and product thinking. You'll be a key voice in product design and a partner to our AI and data teams as we define the next generation of tools to create our physical world. What You'll Do Design and build scalable, reliable full-stack systems using React, Node.js, and Python. Deploy an ML model to production: you've done it before, and you'll do it again: build robust products that users love. Collaborate closely with ML and data teams to integrate models and pipelines into real-world products. Architect backend systems around AWS services, databases, and modern data infrastructure. Own performance and scale: build APIs, indexes, and search systems that make high-dimensional data feel instant. Contribute to product direction: work with design, AI, and leadership to turn technical capabilities into delightful user experiences. (Optional but exciting): advance 3D visualization, geometry, or rendering engines that make engineering feel magical. Who You Are You're a strong generalist who can build, ship, and scale complex full-stack systems. You're fluent in React, Node.js, and Python, and comfortable designing APIs, services, and data flows end-to-end. You've shipped large production systems, ideally ones that touch ML, data, or search. You have experience with AWS databases, and you enjoy thinking about indexing, search, and vector data systems. You're pragmatic, product-minded, and enjoy owning features from concept to deployment. You collaborate naturally with AI, design, and data teams, and love turning complexity into clarity. Bonus points if: You've worked with large-scale data processing pipelines. You have an interest in math, geometry, topology, rendering, or computational geometry. You've built software in 3D printing, CAD, or computer graphics domains. Why Backflip This is a rare opportunity to create the interfaces, infrastructure, and experiences that bring a new kind of intelligence to the physical world, and help define how AI becomes a tool for the imagination. You love building systems that are elegant, fast, and deeply technical, and want to see them shape the real world. Let's build the tools the future will be made in. #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

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

About Invisible Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most. Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world's top AI companies, including Microsoft, AWS, and Cohere. Our successes span industries, from supply chain automation for Swiss Gear to AI‑enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets. Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest‑growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology. About The Role As a Staff Forward Deployed Engineer (FDE) at Invisible, you'll lead high‑impact, AI‑powered solutions that reshape how our clients operate their most critical workflows. You won't just build and deploy - you'll drive the strategy, architecture, and execution of end‑to‑end systems, working directly with clients. This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands‑on with models and close to the impact they generate. What You'll Do Partner with delivery and executive stakeholders to scope, design, and lead implementation of AI‑driven solutions Identify transformational opportunities in messy, ambiguous workflows and turn them into repeatable systems Lead architecture design and trade‑off discussions across performance, scalability, cost, and reliability Own projects from first discovery call through full deployment - including client‑facing delivery, internal coordination, and post‑launch iteration Build shared infrastructure, reusable components, and internal playbooks to level‑up the team Coach and mentor mid‑level engineers and help shape the culture of forward‑deployed AI engineering at Invisible What We Need 8+ years of software engineering experience, including significant time spent building data, ML, or backend systems Python & ML/LLM Frameworks: Deep proficiency in Python with hands‑on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems Deployment & Infrastructure: Skilled in full‑stack and API‑based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS) Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance Data Management: Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes Strong product and system design instincts - you understand business needs and how to translate them into technical architecture Experience building usable systems from messy data and ambiguous requirements Excellent communication and client‑facing skills; you've led conversations with technical and non‑technical stakeholders alike Proven experience owning projects from scoping through deployment in ambiguous, high‑stakes environments Be willing to be on‑call for our customers when situations arise Ability to travel roughly 25-50% of the time, sometimes short‑notice trips - primarily across North America with occasional international roll‑outs - to work directly on‑site with clients Strong engineering background demonstrated by a Bachelor's degree in Data Science, Computer Science and related fields OR equivalent professional experience What's In It For You Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity. * Offers will also include bonus + equity + benefits. Bonuses and equity are included in offers above entry level. Final compensation is determined by a combination of factors, including location, job‑related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process. What It's Like to Work at Invisible At Invisible, we're not just redefining work - we're reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what's possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won't just execute tasks - you'll build, innovate, and shape the future alongside world‑class clients pushing the boundaries of AI. We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We're not for everyone, and we're okay with that. If you're looking for predictable routines, this isn't the place for you. But if you're driven to create, thrive in dynamic environments, and want a front‑row seat to the AI revolution, you'll fit right in. Accessibility Statement We're committed to providing reasonable accommodations for individuals with disabilities. If you need assistance or accommodation due to a disability, please contact our Talent Acquisition team during the recruitment process at accommodation@invisible.email. Equal Opportunity Statement We're an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, or any other basis protected by law. Apply for this job To apply, please visit our careers page and submit your application through the online portal. All required application information will be captured during the process. #J-18808-Ljbffr

About Us Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive's next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we're addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world. The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we'll map a new way forward. Working together, we'll create a future that's more connected, more intelligent, more sustainable for everyone. Role Summary As a member of the product security team, focused on embedded systems and firmware, you will help design, implement, and maintain systems and software for on-vehicle security. This includes security functionality like secure boot, code verification, device identity, and access control. You will work closely with cross functional teams, to integrate security functionality into vehicle components. This role is located at our Palo Alto, California office and reports directly to the Manager, Security Firmware. Responsibilities Configure and manage chip level security features Design security systems and solutions for connected vehicles and related products Work with other teams and stakeholders to build security into features and products Develop product security requirements that meet program needs while reducing risk Work with development teams to ensure they meet requirements and validate them for each release Continuously improve and adapt the security implementations to adapt to customer needs, program goals, and evolving technologies Write and maintain complex technical documentation for both developers and non-technical people Drive complex multi-team, cross-functional projects across multiple programs Qualifications Education - Preferred to have a degree in Computer Science, Computer Engineering, or similar field preferred or equivalent applicable industry experience Technical Skills 7+ years of experience working on embedded platforms In-depth knowledge of embedded systems Experience with Linux, AOSP, and/or RTOS Significant experience with C/C++ development, Java (android) is a plus Strong understanding of SELinux, DM‑Verity, and other Linux hardening features Strong understanding of cryptographic principles and secure coding practices. Strong understanding of networking fundamentals such as Ethernet, TCP/IP, Wireless Technologies Understanding of automotive networking interfaces and protocols (CAN, UDS, etc.) Pay Disclosure Salary Range/Hourly Rate for Palo Alto, California-based applicants: $162,500 - $203,100 (actual compensation will be determined based on experience, location, and other factors permitted by law). Benefits Summary: Rivian and Volkswagen Group Technologies provide robust medical/Rx, dental and vision insurance packages for full-time and part-time employees, their spouse or domestic partner, and children up to age 26. Full Time Employee coverage is effective on the first day of employment. Part-Time employee coverage is effective the first of the month following 90 days of employment. Equal Opportunity Rivian and Volkswagen Group Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. We are also committed to ensuring compliance with all applicable fair employment practice laws regarding citizenship and immigration status. Rivian and Volkswagen Group Technologies is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian and VW Group Technologies (“Rivian and Volkswagen Group Technologies”) may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian and Volkswagen Group Technologies may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian and Volkswagen Group Technologies may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian and Volkswagen Group Technologies affiliates; and (iii) Rivian and Volkswagen Group Technologies' service providers, including providers of background checks, staffing services, and cloud services. Rivian and Volkswagen Group Technologies may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please see our Candidate Data Privacy Notice (English) and Candidate Data Privacy Notice (Serbian) for more information. Please note that we are currently not accepting applications from third party application services. #J-18808-Ljbffr

About Us Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive's next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we're addressing the challenges of electric vehicles through technology that will set the standards for software‑defined vehicles around the world. The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we'll map a new way forward. Working together, we'll create a future that's more connected, more intelligent, more sustainable for everyone. Role Summary We are looking for a Senior Embedded Software Engineer to support the development and bring‑up of the Infotainment Platform for next‑generation EVs. This role focuses on RTOS‑based safety processors in high‑compute systems, involving low‑level software development, board bring‑up, diagnostics, and middleware integration. Experience with embedded Linux is a bonus. Responsibilities Design, implement, and maintain embedded software on RTOS platforms for safety‑critical infotainment ECUs. Develop drivers for hardware peripherals: I2C, SPI, CAN, UART, GPIO, Ethernet, PCIe. Lead and support board bring‑up activities, bootloader configuration, and low‑level diagnostics. Implement and validate safety and system monitoring features. Develop and integrate platform diagnostics, automation hooks, and scripting tools in Python/C. Work with hardware engineers and validation teams to debug board‑level issues using tools like JTAG, oscilloscopes, and logic analyzers. Document software components, integration flows, and bring‑up guides for cross‑team consumption. Qualifications Bachelor's or Master's in Computer Science, Computer Engineering, or related field. 5+ years of embedded software development experience, with emphasis on RTOS‑based systems (FreeRTOS, SafeRTOS, QNX, etc.). Proficient in C/C++ and experienced with low‑level driver development. Strong knowledge of board bring‑up, bootloader, and system initialization. Familiarity with hardware communication interfaces and protocols (I2C, SPI, CAN, UART, PCIe, Ethernet). Proficient in Python or shell scripting for automation and testing. Hands‑on experience with debugging tools: JTAG, Lauterbach, oscilloscopes, logic analyzers. Preferred Skills Deep understanding of RTOS internals, interrupt handling, task scheduling, and memory protection. Experience with middleware integration, including MQTT, UDS, or other automotive communication protocols. Exposure to functional safety features and standards (ISO 26262, ASIL). Experience with embedded Linux, including kernel modules, device trees, and bootloader configuration. Familiarity with diagnostics frameworks, fault injection, and recovery mechanisms. Prior involvement in automotive infotainment or safety processor development. Pay Disclosure Salary Range Northern California‑Based Applicants: $146,900 - $194,610 (actual compensation will be determined based on experience, location, and other factors permitted by law). Benefits Summary Rivian and Volkswagen Group Technologies provides robust medical/Rx, dental, and vision insurance packages for full‑time employees, their spouse or domestic partner, and children up to age 26. Coverage is adequate on the first day of employment, and Rivian covers most of the premiums. Equal Opportunity Rivian and Volkswagen Group Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. We are also committed to ensuring compliance with all applicable fair employment practice laws regarding citizenship and immigration status. Rivian and Volkswagen Group Technologies is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Please note that we are currently not accepting applications from third party application services. #J-18808-Ljbffr

About Us Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive's next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we're addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world. The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we'll map a new way forward. Working together, we'll create a future that's more connected, more intelligent, more sustainable for everyone. Role Summary We are seeking a highly skilled and motivated Senior Embedded Software Engineer to join our Vehicle Power Moding team. In this role, you will design, develop, and deploy embedded software solutions to support vehicle power management systems. You will collaborate with cross-functional teams to ensure seamless integration of power modes, while maintaining robust hardware control and low- and high-voltage system stability. This position demands deep technical expertise in embedded systems, state machine design, and vehicle device control. Responsibilities Contribute to defining software requirements, designing state machines, and ensuring they align with vehicle power moding needs. Lead discussions regarding vehicle states (e.g., wake/sleep) and corresponding hardware control (e.g., high voltage activation/deactivation, low-voltage domain management). Participate in system-level design reviews, providing insights into power management and embedded software best practices. Ensure the seamless transition between power modes, coordinating high-voltage and low-voltage domain transitions for system efficiency and reliability. Collaborate with hardware and system teams to understand and influence vehicle device control, ensuring correct interactions between software and hardware components. Design, develop, and deploy embedded software for vehicle power management applications such as vehicle device power on/off behavior management, system energy draw optimizations, vehicle reset, occupancy detection, user interactions and much more. Write, perform, and review integration test cases to validate software functionality and reliability. Troubleshoot and debug software issues across embedded systems, identifying solutions to optimize vehicle power moding performance. Qualifications B.S.+ in Electrical Engineering, Computer Science, Mechanical Engineering, or a related field with 2+ years of relevant industry experience. 2 or more years of experience in embedded software/firmware development in C, preferably with vertically integrated consumer products. Proficient with software development on microcontrollers and sensor I/Os. Strong understanding of dependencies between various electrical & mechanical systems. Experience with systems engineering / automotive network architecture / vehicle integration. Strong working knowledge of automotive electrical systems and communication protocols (CAN, LIN, Ethernet) and relevant debug tools. Hands-on experience debugging complex systems that involve multiple ECUs with interfaces to various vehicle sub-systems. Good team player with great communication skills. Ability to work in a fast-paced development environment. Passionately motivated to take ideas from R&D phase to a product. Pay Disclosure Salary Range/Hourly Rate for California Based Applicants: $146,900 - $183,600 (actual compensation will be determined based on experience, location, and other factors permitted by law). Benefits Summary Rivian and Volkswagen Group Technologies provides robust medical/Rx, dental and vision insurance packages for full-time and part-time employees, their spouse or domestic partner, and children up to age 26. Full Time Employee coverage is effective on the first day of employment. Part-Time employee coverage is effective the first of the month following 90 days of employment. Equal Opportunity Rivian and Volkswagen Group Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. We are also committed to ensuring compliance with all applicable fair employment practice laws regarding citizenship and immigration status. Rivian and Volkswagen Group Technologies is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian and VW Group Technologies (“Rivian and Volkswagen Group Technologies”) may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian and Volkswagen Group Technologies may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian and Volkswagen Group Technologies may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian and Volkswagen Group Technologies affiliates; and (iii) Rivian and Volkswagen Group Technologies' service providers, including providers of background checks, staffing services, and cloud services. Rivian and Volkswagen Group Technologies may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please see our Candidate Data Privacy Notice (English) and Candidate Data Privacy Notice (Serbian) for more information. Please note that we are currently not accepting applications from third party application services. #J-18808-Ljbffr

An innovative automotive technology firm based in Palo Alto is seeking highly skilled software engineers to join its Wireless Software team. You will be responsible for designing and developing complex software applications and state machines for connectivity solutions. The ideal candidate has strong C++ programming skills and experience in 4G/5G application development. The position offers competitive compensation and a chance to work on cutting-edge technologies in an exciting environment. #J-18808-Ljbffr

Welcome to Fi. We're a passionate team from Square, Google, TikTok, Peloton, Uber, and more working to transform the dog-human relationship. Our mission? Develop cutting-edge technology to revolutionize what it means to be a dog parent. Fi is leveraging our team's talent and expertise to improve the lives of the millions of dogs in the U.S. Real-time location tracking, activity, sleep and behavior monitoring - and that's just the beginning. The most exciting aspect of our work? Bridging the communication gap between dogs and humans. Imagine a world where everyone knows how their dog feels in real time and how to keep their best friend in good shape. That's the future we're building at Fi. If you're someone who thrives in innovative, collaborative work environments and feels strongly about helping dogs live longer, better lives, Fi could be the perfect fit. Join us in our pursuit of the “impossible,” or as we call it here “let me find a way,” to redefine the future of dog ownership together. Fi is looking for an Embedded Software Engineer! Fi is looking for an Embedded Software Engineer to design and build the firmware powering our next generation of connected collars - shaping the architecture, performance, and reliability of systems trusted by hundreds of thousands of dogs. You'll dive deep into connectivity, low-power optimization, and real-time processing, driving decisions that bridge hardware, software, and data into one seamless product experience. What You'll Do Firmware Development: Take a front-line role in designing, developing, and maintaining firmware for embedded systems, ensuring functionality, reliability, and performance optimization. Collaborative Problem-Solving: Work closely with cross-functional teams to integrate software with hardware components, troubleshoot issues, and optimize system performance. Code Review and Documentation: Conduct code reviews, document code changes, and ensure compliance with coding standards and best practices in firmware development. Testing and Validation: Develop test procedures and perform rigorous testing to validate firmware functionality and identify and resolve bugs or issues. Research and Innovation: Stay updated with emerging technologies, tools, and trends in embedded systems and contribute innovative ideas to enhance product capabilities. What You'll Bring Minimum of 4 years of hands-on experience in firmware/embedded software development Proficiency in the C and C++ programming languages, and an understanding of the differences between them. Additionally, experience with or eagerness to learn Python. Prior exposure to hardware interfaces, real-time operating systems (RTOS), and embedded systems design. Familiarity with debugging tools and methodologies for embedded systems. Experience with version control systems (e.g., Git) and issue tracking tools (e.g., Jira). Strong problem-solving abilities and the ability to work in a collaborative team environment, communicating effectively with hardware engineers, software developers, and other stakeholders. Understanding of low-level hardware interactions and device drivers. Experience in designing, developing, and testing firmware for microcontrollers and embedded systems. Why You'll Love Us Time to Recharge: Enjoy flexible PTO to take the breaks you need. Top-Notch Health Coverage: We've got your back (and teeth and eyes) with full medical, dental, and vision insurance. Wellness Perks:Free access to One Medical, Kindbody, and Talkspace to keep you feeling your best. Give Back to the Pups: Make tails wag with a $500 annual donation to a dog charity of your choice through our BarkBack Program. Free Fi Membership: Your furry best friend(s) get all the benefits of a Fi collar, on us! Love for Friends + Family: Share the Fi magic with loved ones through our gifting program. Salary: $150,000 - $200,000 a year The anticipated base salary range for this position is $150,000-$200,000. Actual compensation will vary based on multiple factors, including skills, experience, market conditions, and role scope, which may evolve during the hiring process. As a fast-growing Series B startup, Fi evaluates compensation opportunistically to align with the right candidate. This role is also eligible for equity compensation. Fi is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Fi makes hiring decisions based solely on qualifications, merit, and our needs at the time. #J-18808-Ljbffr

About AirGarage AirGarage is on a mission to bring real estate online, starting with parking. We replace broken parking machines, fragmented software, and manual, labor-intensive operations with a unified, data-rich operating system for parking real estate. We handle everything it takes to run and optimize a parking asset: payments, dynamic pricing, enforcement, license plate recognition, analytics, and more. By building all of our technology in-house, we are able to deliver a magical experience for drivers while providing real‑time visibility and revenue increases of 20‑50% or more for real estate owners. That's why national real‑estate leaders like Hines and Greystar, as well as technology companies like Meta, partner with AirGarage to optimize their parking facilities. AirGarage uses datapoints such as real‑time occupancy, local events, weather, driver behavior, competitor pricing, and more to bring true intelligence to real estate owners' assets for the first time. We're investing aggressively to make the physical world legible to a digital system: cameras, sensors, and software that generate a firehose of real‑time data about the world around us. That data fuels models and algorithms that allow us to optimize performance at each property while giving owners the clarity and control they've never had before. Before you can optimize an asset, you need to observe it. Before you can observe it, you need to bring it online. We are starting with the $131 billion US parking real estate market because it is one of the most offline and mismanaged commercial real estate asset types. 26% of the land area in the median American urban core is dedicated to parking. We are backed by top tier investors including Headline Growth, Andreessen Horowitz, Floodgate, Founders Fund, Abstract Ventures, and angel investors who have founded or worked at companies like Uber, Opendoor, Flexport, and more. Want to learn more about AirGarage and the problem we're tackling? Check out these podcasts: ******************************************* ************************************************ THE ROLE 👨💻 We are looking for an Embedded Software Engineer to build and maintain the edge applications that power our next‑generation LPR (license plate recognition) devices. You will shape how these systems operate in the field, from the Linux layer to the applications that capture, process, and transmit video and metadata at scale. You will own the delivery of reliable, production‑grade software that runs on thousands of devices. Your work will keep our hardware online and performant, integrate seamlessly with our backend, and influence system design choices that define how our products evolve. You will strengthen our embedded software stack and drive improvements that make deployments faster, updates smoother, and performance more robust. This role offers the opportunity to make a visible impact on real‑world systems. It is ideal for someone who thrives at the intersection of Linux platforms and application development and who wants to see their work directly improve the performance and reliability of products in the field. Our stack: Devices: Embedded Linux (Debian, Yocto), Python, C++ Observability: DataDog, Hex, SQL Data: Postgres, Snowflake Infra: AWS, GCP, Docker, RabbitMQ, Redis, Github Actions Backend: Python, Django, DRF WHAT YOU WILL DO 🚀 Architect and evolve the embedded software stack (defining system boundaries, module interfaces, and communication flows) to ensure scalability, maintainability, and efficient integration with backend services. Build and maintain edge applications on embedded Linux devices, including software for real‑time video capture and processing. Customize and extend Yocto‑based Linux builds to support production hardware and future device features. Implement and maintain software for computer vision, OCR, or other ML inference tasks at the edge. Develop and maintain containerized environments using Docker to streamline testing, deployment, and reproducibility. Contribute to OTA (over‑the‑air) update pipelines and automated testing frameworks to ensure reliable deployments across the fleet. Integrate devices with backend systems using pub/sub messaging frameworks (ex. NATS JetStream, Kafka, Redis, or MQTT) to connect devices with backend infrastructure. Collaborate closely with hardware engineers to optimize software for sensors, cameras, and other peripherals. Troubleshoot and debug board and system level issues using logs, schematics, Linux tools, and protocol analysis. Author clear documentation, best practices, and internal guides to support the team and streamline problem solving. WHAT YOU NEED 🧠 5+ years of professional software engineering experience developing embedded Linux or edge applications. Strong proficiency in Python and Bash, with experience shipping production‑quality code. Command‑line comfort: you should live in the terminal. Experience with Docker for creating consistent testing and deployment environments. Hands‑on experience with Yocto/bitbake to customize and build Linux images for production hardware. Familiarity with OTA update frameworks and tools (ex. Mender) and managing software across a device fleet. Hands‑on experience with Linux systems (dmesg, journalctl, ip, systemd, etc.) and debugging distributed hardware/software environments. Familiarity with observability and monitoring tools (e.g., DataDog, OpenTelemetry, Prometheus, Grafana) and building internal tooling for device health and alerting. Excellent written and verbal communication skills; able to translate complex technical findings into clear reports and playbooks. Self‑starter who thrives in a fast‑paced, ownership‑driven environment. NICE TO HAVE 🌟 Experience with computer vision, OCR, or running ML models at the edge for real‑time video or sensor processing. Background in RTOS or microcontroller development (Zephyr, FreeRTOS). Proficiency in C++ and SQL. Low‑level userland familiarity: memory pages, cache locality, POSIX commands. Knowledge of hardware interfaces such as CAN, I2C, SPI, and RS485. Exposure to automated testing, CI/CD pipelines, or Hardware‑in‑the‑Loop validation setups. Background in cellular (4G LTE, CAT 4, CAT 1bis, 5G RedCap), WiFi, WiFi HaLow, or other wireless connectivity. Robotics or industrial controls background is a plus. IMPORTANT NOTE 🚨 AirGarage is a remote‑first company, but we also value in‑person collaboration to strengthen trust and teamwork. Team members should expect ~6 weeks of travel per year for: 2-3 full company offsites, “Remote Weeks” Lending a hand to support 2 new location launches In‑person onboarding as well as supporting other onboarding sessions for new team members The rest of the year, team members can work remotely from wherever (US time zones) they're most comfortable as long as they are performing well in their role. Attendance at in‑person events throughout the year is expected-if you're not open to traveling ~6 weeks per year for work, this role isn't a good fit for you. THE UPSIDE 📈 📈 Equity: Have a stake in the business that you're helping to build and grow. 🌴 Work remotely: Live and work wherever you like! We believe in folks working where they are happiest and most productive. We currently hire teammates that are located anywhere within North America. 🏥 Health insurance: We offer health insurance and currently cover 85% of the cost of medical, dental, and vision plans for the primary employee and 50% of the cost of plans for dependents. 🍼 Parental Leave: We offer 12 weeks of fully paid parental leave to all parents to bond with a newly born, adopted, or fostered child. The 12 weeks can be taken as a continuous leave or intermittently over the first 18 months of the child's life. 💻 Home office setup: Get a laptop + additional equipment needed to set you up for success. ⛺ Time to recharge: We have an unlimited PTO policy with a minimum requirement of 10 days per year. 🤑 401k: Make financial planning right for you with a 401k retirement savings program. ✈️ Team Off‑sites: ~2 times per year our team comes together for a full week in places like Tahoe, Puerto Vallarta, San Diego, and Austin. 📚 BookGarage: Our team loves to learn and grow together so join us for our optional recurring book club. 🪴 Room to grow: Our team will be orders of magnitude larger within a few years, as a part of our foundational team you'll have opportunities to grow with us. 🏙️ Transform our cities: The opportunity to change the way that the world thinks about real estate use in our cities. 👐 Work with a diverse team: At AirGarage, we've always been committed to building a thriving team that represents the communities we serve. Our team is currently 40% female and 30%+ from underrepresented communities. We understand that there's no such thing as a 'perfect' candidate. We're looking for someone passionate, with grit and determination, who is excited to face the challenges of a rapidly growing startup. AirGarage is the type of company where you can grow exponentially, and we encourage you to apply to us even if you don't 100% match the candidate description. AirGarage is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, martial status, mental or physical disability, or any other legally protected status. #J-18808-Ljbffr

Mainspring Energy is revolutionizing power generation with the world's most flexible and adaptable local power generation technology, the Mainspring Linear Generator. Commercial, industrial, and utility leaders are choosing Mainspring over traditional options like engines, turbines, and fuel cells to quickly and reliably deliver local power for EV charging, commercial facilities, data centers, and grid-scale operations. The Mainspring Linear Generator is fuel flexible, ramps up and down to meet demand, and utilizes a flameless reaction with near-zero NOx emissions. Backed by top-tier investors including Khosla Ventures, Bill Gates, American Electric Power, Lightrock, and General Catalyst Mainspring designs, manufactures and delivers its products to customers across the U.S. today, and we're quickly scaling for international expansion. Inspired by our vision of the affordable, reliable, net-zero carbon grid, Mainspring is rapidly expanding within the $816B global electricity equipment market, and we're hiring the best talent to meet growing customer demand around the globe. We welcome a broad range of backgrounds, experiences, and talents to bring fresh perspectives and ongoing innovation to our customers. We are looking to build relationships with people who share our values: Pragmatic Optimism. Building a new category of world-class power generation requires the optimism of ambition and creativity, balanced with practicality to solve problems efficiently. The challenges that arise are opportunities for growth. Excellence without Ego. We bring expertise and commitment to creating the best customer experience, from sales to deployment and service, just as we apply deep technical rigor to building and delivering world-class products. We strive for excellence and behave as leaders with the humility to acknowledge our challenges, both collectively and as individual contributors. Proactive Collaboration. The integration and cross-disciplinary nature of Mainspring's business requires intentionally seeking out others who bring different skills, perspectives, and priorities. Our culture of inclusion and respect extends beyond our team to interactions with our partners and customers. More information can be found at ************************ The Linear Generator is a next-generation energy system where the control layer must seamlessly integrate and manage multiple interdependent physical domains. Your technical leadership will be crucial for the modeling, simulation, and control of its dynamics, which encompass mechanical, electrical, fluid, thermal, and thermodynamic processes. In this role, you will manage and mentor a team of engineers responsible for the machine's behavior and performance. You will drive a technical strategy that prioritizes model-based design and high-fidelity simulation, ensuring robust performance before algorithms reach hardware. Responsibilities Team Leadership: Manage, mentor, and grow a team of world class engineers across domains from dynamics and automation to power and reaction control. Technical Strategy: Drive a “simulation-first” development culture. Oversee the creation of plant models and control strategies, ensuring designs are validated in simulation (MIL/SIL) prior to software implementation. Architecture & Oversight: Provide technical guidance on control architectures, ensuring the mathematical models and control logic are sound, robust, and well-specified. Cross-Functional Alignment: Collaborate with Product and Program Management to roadmap features. You will assess technical feasibility and ensure the team delivers validated specifications that meet product requirements. Process Excellence: Establish workflows for algorithm development, including design reviews, requirements traceability, and validation plans. Reliability & Diagnostics: Oversee the development of diagnostics and fail-safes to ensure the generator operates autonomously and safely in the field. Qualifications Leadership: Multiple years of experience leading and growing high-performance engineering teams. Technical Depth: Strong background in control theory (linear and nonlinear), system dynamics, and signal processing. Comfortable reviewing block diagrams, simulation results, and technical specifications. Simulation Expertise: Demonstrated experience with Model-Based Design (MBD) workflows and simulation tools (MATLAB/Simulink, Python, etc.). Systems Mindset: Ability to understand complex interactions in electromechanical machines involving sensors, actuators, and thermal/fluid dynamics. Education: BS or MS in mechanical, electrical, or systems engineering (or equivalent experience). $212,000 - $250,000 a year 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. #J-18808-Ljbffr