Member, technical staff jobs in Santa Rosa, CA - 971 jobs

We're looking for a Plasma Physicist who's not just into theory-but wants to design, simulate, and help build marine deployable tokamaks. You'll spend your time running transport and MHD codes, exploring divertor concepts and operational scenarios, and conducting system level tradeoff studies. DescriptionAboutMaritime Fusion Maritime Fusion is building fusion reactors for ships. We're laser focused on designing, optimizing, and manufacturing HTS tokamaks to decarbonize global shipping and deliver operational energy and HTS technology to defense customers. Since participating in the world's leading startup accelerator, Y Combinator, we've moved quickly to plot the most pragmatic path to getting the First of a Kind (FOAK) fusion reactors out in the world in an application most primed to benefit from recent advances in High Temperature Superconducting (HTS) magnet technology. Our founding team brings a unique blend of hands-on engineering experience from Tesla and SpaceX, combined with deep academic expertise in plasma physics and fusion energy technology from academia and industry. Every startup claims a “fast pace and dynamic environment” but at Maritime Fusion we truly operate in controlled chaos mode. The gravitas of the mission calls for a unique company structure, rewarding high performance and dynamically allocating resources. We're a small company (for now) with plans to grow a world class fusion workforce. This is an opportunity to join at the very early stage, the stage where all employees wear all hats. We can't guarantee success, but we can guarantee excitement, worthwhile projects, extreme ownership, and good (great?) vibes. Iron man 1 movie sound track plays on loop in the lab. What You'll Be Doing: Running simulations across the full plasma + machine stack:plasma equilibriumandmagnetic system optimization,stability & confinement, transport, edge physics, burning plasma physics, diagnostic system design, disruption mitigation. Using tools like POPCON, TokaMaker, ASTRA, TGLF, Fuse, CGYRO, BALOO, UEDGE, Bluemira, COMSOL, ANSYS, FEA, and OpenMC to analyze and optimize the full system. Developing models and workflows to connect simulations with real-world design constraints. Form relationships and foster collaboration with academic & government labs to further optimize and explore the tokamak design space. What You Bring: Ph.D/M.S. in Plasma Physics, Nuclear Engineering, Applied Physics, or similar (or equivalent experience). Experience modeling tokamaks or similar fusion devices- from grad school, postdoc, or industry. Strong coding and engineering fundamentals. Willingness to do the dirty work involved with early stage startups; assemble the office furniture, setup software licenses, form strong external industry relationships. Compensation: $120k-200k salary + 0.1%-1% equity + bonuses #J-18808-Ljbffr

Work With Us At Liquid, we're not just building AI models-we're redefining the architecture of intelligence itself. Spun out of MIT, our mission is to build efficient AI systems at every scale. Our Liquid Foundation Models (LFMs) operate where others can't: on-device, at the edge, under real-time constraints. We're not iterating on old ideas-we're architecting what comes next. We believe great talent powers great technology. The Liquid team is a community of world‑class engineers, researchers, and builders creating the next generation of AI. Whether you're helping shape model architectures, scaling our dev platforms, or enabling enterprise deployments-your work will directly shape the frontier of intelligent systems. While San Francisco and Boston are preferred, we are open to other locations in United States. This Role Is For You If: You thrive on bringing technical depth and design precision together in your work. You care deeply about performance, accessibility, and user experience. You think in systems - building components that scale, not just pages that work. You're energized by translating complex ML capabilities into elegant, usable products. You balance polish and pragmatism - knowing when to prototype and when to perfect. Desired Experience: Strong proficiency with TypeScript, React, and modern frontend tooling (Vite, Next.js, etc.) Experience designing and implementing modular UI architectures and design systems Deep understanding of state management, API integration, and performance optimization Experience working closely with backend and ML teams to bring complex data and functionality to life A product‑focused mindset - empathy for users, attention to interaction detail, and a bias for clarity What You'll Actually Do: Architect and build front‑end systems for internal and external Liquid products Create intuitive interfaces that make advanced ML systems accessible and actionable Collaborate with backend, product, and research teams to design seamless data flows Develop high‑performance, scalable UIs that run smoothly across browsers and devices Contribute to the evolution of our design system and front‑end best practices Help define the technical standards and workflows for Liquid's front‑end development culture What You'll Gain: The opportunity to define how advanced AI systems are experienced and interacted with Deep collaboration with world‑class ML researchers and platform engineers Influence over critical product and UX decisions shaping Liquid's next‑generation tools A chance to build front‑end systems at a true greenfield stage - no legacy, just possibility About Liquid AI Spun out of MIT CSAIL, we're a foundation model company headquartered in Boston. Our mission is to build capable and efficient general‑purpose AI systems at every scale-from phones and vehicles to enterprise servers and embedded chips. Our models are designed to run where others stall: on CPUs, with low latency, minimal memory, and maximum reliability. We're already partnering with global enterprises across consumer electronics, automotive, life sciences, and financial services. And we're just getting started. #J-18808-Ljbffr

About Inkeep At Inkeep, we power the only AI Agent platform designed for engineers and non-engineers. Our customers include leading AI companies like Anthropic and Midjourney, plus high-growth tech companies like PostHog and Postman. Our customers trust Inkeep to help them provide world-class support for their users and be a force multiplier for their internal teams. We're backed by Khosla Ventures and Y Combinator, growing quickly, and looking for exceptional people who want to work at the forefront of AI. About the role As a Design Engineer, you'll own user experiences end-to-end, from product decisions to front-end engineering. You'll work directly with customers, influence product direction, and build the interfaces that define how millions of users interact with AI. This isn't a typical design or engineering role. You'll: Ship full features independently: engineer, build, and iterate based on real user feedback Work directly with customers: understand their needs deeply and validate solutions with them Shape product direction: your design and technical insights will directly influence how the product is built and what we roadmap items we prioritize Build in public: see your work used by users at some of the world's leading AI companies within days What we're looking for Strong design sensibility: you have excellent product intuition and can use tools like Figma or vibe-coding platforms to communicate and validate ideas Solid engineering chops: 3+ years building user-facing products with TypeScript (React/Next.js or similar frameworks) Customer empathy: you care deeply about understanding user needs and building delightful experiences High ownership: you want to own problems end-to-end, not just work on tickets Bonus points for Open source contributions or public projects that show your craft Experience building AI products or developer tools Strong opinions on what makes great product #J-18808-Ljbffr

Software Autonomy Sensing San Francisco, California 3D Technical Director Who we are Aurora's mission is to deliver the benefits of self‑driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visitaurora.tech or follow us on LinkedIn . Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We're searching for a 3D Technical Director . In this role, you will Develop procedural assets for the creation of highly realistic virtual environments. Design and implement world‑building tools to enhance scenario creation workflows. Generate intricate scenarios and simulations to assess the Aurora Driver's perception system across various sensors, including camera, lidar, and radar, as well as other integral components. Required Qualifications Proficiency in Houdini and the application of procedural and automated asset creation methodologies. Expertise in Python, VEX, and scripting. Demonstrated experience in defining and implementing scalable workflows and pipelines. Passionate about solving complex and impactful challenges. Specializations (1 or more) Procedural scene and geometry generation. Modeling of vehicles, sets, or human figures. Procedural surfacing, shading, and texturing techniques. Dynamic simulations such as rigid body, human motion synthesis, fluid or gas dynamics. Desirable Qualifications Familiarity with Universal Scene Description (USD). The base salary range for this position is $150,000-$240,000 per year. Aurora's pay ranges are determined by role, level, and location. Within the range, the successful candidate's starting base pay will be determined based on factors including job‑related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits. #Mid‑Senior Commitment to inclusion Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech . For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora's California Employment Privacy Policy. #J-18808-Ljbffr

San Francisco | Hybrid, 3 days/week | $200K - $280K + equity I'm partnering with a rapidly scaling healthtech startup that has just raised a $40M Series A to expand its engineering team. Their AI-powered platform is already helping clinicians by automating huge amounts of back-office work, and now they're looking for a senior engineer to help take their copilots from demo to full production. What you'll do: Build and scale machine learning systems that power real healthcare products Work across the full ML lifecycle: from data pipelines, to model training, to deployment Adapt and fine-tune large foundation models to real-world use cases Help improve speed, cost, and performance of AI features in production Provide technical leadership and mentor a junior ML engineer What we're looking for 5+ years of experience building ML systems that are used in production Strong Python skills (PyTorch or JAX experience is a plus) Background taking research ideas into production-ready services Good understanding of how to evaluate models and measure impact Experience with modern LLM/AI techniques (LoRA, RAG, structured prompts, model optimisation) If this sounds like a good fit and you'd like to know more, please apply and we'll be in touch.

A leading organization in healthcare innovation is seeking a Technology Director to oversee technology strategies and support operations across multiple departments. The role focuses on managing vendor relationships, ensuring compliance with regulations, and driving technological advancements for better service delivery. Ideal candidates will have significant experience in technology management, strong leadership skills, and the ability to effectively communicate complex information. The position offers a salary range of $190,000 - $210,000 annually. #J-18808-Ljbffr

A leading entertainment and media company is seeking a Creature Technical Director to rig and envelop characters in Maya, run simulations, and troubleshoot pipeline issues. Applicants should have 3+ years of experience in digital animation rigging and good communication skills. This role also involves mentoring entry-level artists. Currently not actively hiring, but may have openings in the future. #J-18808-Ljbffr

PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses. Join us. At PagerDuty, you'll tackle complex problems, collaborate with kind and ambitious people, and help build a more equitable world-all in a flexible, award-winning workplace. Position Overview Leading strategic partnership initiatives to expand and strengthen our enterprise software ecosystem through meaningful collaborations with technology partners, startups, and industry leaders. This role combines strategic thinking with hands-on execution to drive mutual growth opportunities and create compelling solutions for enterprise customers. Key Responsibilities The Director of Ecosystem Partnerships will own the vision and execution of our ecosystem strategy, aligned with corporate goals, to expand our market, drive growth and accelerate product adoption and innovation. The responsibility includes developing ecosystem strategy & plan, identifying, developing, and managing strategic technology partnerships that enhance our platform's value proposition across AI, Cloud, DevOps, ITOps, SecOps and BizOps. They will serve as the primary liaison between partners and internal stakeholders, driving joint go-to-market initiatives, solutions and technical integrations. Core responsibilities include: developing and executing the ecosystem strategy, building and maintaining relationships with key ecosystem players, identifying market opportunities, and driving joint use-case, customer value / stories, increasing awareness through joint partner initiatives and enabling partner-influenced growth. The role requires close collaboration with product management, engineering, marketing, and sales teams to ensure alignment and successful execution of partnership initiatives. Regular travel may be required to attend industry events, meet with partners, and participate in strategic planning sessions. Required Qualifications 10+ years of experience in leading enterprise software partnerships, ecosystem management, product development, product marketing, and/or business development within the enterprise software industry Proven track record leading successful ecosystem or partner programs in DevOps, ITOps, developer tools, enterprise software or IT operational environments Deep understanding of enterprise infrastructure, operations, software development, and application software landscapes with the ability to clearly articulate technical concepts to various audiences Strong technical acumen and business insight to identify and capitalize on market opportunities and position Demonstrated experience in building and scaling strategic partnerships, and managing multiple stakeholders across customers, partners, and internal teams Strong established network within the enterprise software ecosystem, including executive and strategic relationships with multiple enterprise software vendors, startups & developer ecosystem Successfully drives complex cross-functional initiatives with planning, execution and accountability Essential Skills and Characteristics The successful candidate will demonstrate a combination of strategic thinking and tactical execution capabilities, with an entrepreneurial mindset and the ability to operate in a fast-paced environment. They should be a self-starter with excellent communication skills, able to influence without direct authority, and capable of building consensus across diverse stakeholder groups. The role requires someone who is results-oriented, data-driven, and able to balance multiple priorities while maintaining attention to detail. They should be comfortable with ambiguity, able to create a structured path and thesis with a bias to action. Impact and Success Metrics Success in this role will be measured by the growth and effectiveness of partnership programs, including partner-influenced revenue, number of active integrations, partner launches, joint marketing, and strategic value created through ecosystem initiatives. The director will be expected to develop and track relevant KPIs to demonstrate program success and partner engagement. The base salary range for this position is 147,000 - 246,000 USD. This role may also be eligible for bonus, commission, equity, and/or benefits. Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience. Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process. Hesitant to apply? We encourage you to submit your resume even if you don't meet every requirement. We value potential and consider each candidate's full professional story. Whether you're exploring a career change or taking your next step, we look forward to reviewing your application. If this just isn't the right role or time - sign up for job alerts! Where we work PagerDuty operates a hybrid work model with offices in 8 major cities: Atlanta, Lisbon, London, San Francisco, Santiago, Sydney, Tokyo, and Toronto. While we offer flexibility within our established locations, we cannot employ candidates residing in certain restricted regions. Location restrictions apply per role. How we work Our values guide how we support customers, collaborate with colleagues, develop products, and foster a culture of belonging. They define not just our actions, but what it means to be Dutonian. People Leaders at PagerDuty are responsible for creating high performance environments that drive accountability. PagerDuty has four key dimensions that define our Leadership Impact: Lead Self, Lead the Team, Lead the Business, and Lead the Future. Our Manager Expectations serve as a practical guide for managers to understand their responsibilities, prioritize their efforts, and drive engagement and performance. What we offer As a global organization, our total rewards approach is competitive with industry standards and aligned with local laws and regulations. Learn more, including country-specific offerings, on our benefits site. Your package may include: Comprehensive benefits package from day one Company equity ESPP (Employee Stock Purchase Program) Retirement or pension plan Generous paid vacation time Paid holidays and sick leave Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent (some countries have longer leave standards and we comply with local laws) Paid volunteer time off: 20 hours per year Mental wellness programs *Eligibility may vary by role, region, and tenure About PagerDuty PagerDuty, Inc. is a global leader in digital operations management. The PagerDuty Operations Cloud is an AI-powered platform that empowers business resilience and drives operational efficiency for enterprises. With a generative AI assistant at its core, PagerDuty empowers teams to detect and resolve issues in real time, orchestrate complex workflows, and drive continuous improvement across their digital operations. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses. PagerDuty is Great Place to Work-certified and has received multiple recognitions for workplace excellence. Follow us on our careers site and @pagerduty on Instagram. Equal Opportunity and Accessibility PagerDuty is committed to creating a diverse environment and is an equal opportunity employer. PagerDuty does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status. By submitting an application, you confirm that you have read and understand PagerDuty's Privacy Policy. PagerDuty is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you require accommodation, please email accommodation@pagerduty.com. PagerDuty uses the E-Verify employment verification program. Apply for this job #J-18808-Ljbffr

A leading financial institution is seeking a Relationship Executive to focus on Applied Technology banking. This position requires building and maintaining relationships with innovative companies in the technology sector. The ideal candidate will have over 8 years of experience in commercial banking, excellent sales management skills, and strong interpersonal abilities. This role also demands a proactive attitude and a passion for entrepreneurship and innovation within the tech industry. Competitive benefits and incentives are included. #J-18808-Ljbffr

An entertainment company in San Francisco is seeking experienced Look Development Technical Directors to create high-quality look dev and shading for CG assets. Ideal candidates will have over 5 years of VFX experience, strong knowledge of real-world lighting, and an ability to mentor junior artists. This role offers a competitive salary range of $101,300 to $132,900 annually, along with a comprehensive benefits package. #J-18808-Ljbffr

A leading technology company in San Francisco is seeking a Senior Staff Software Engineer to lead a high-performing team delivering innovative AI and ML solutions at scale. This role requires collaboration with cross-functional teams, shaping the AI strategy, and driving software development best practices. The ideal candidate has extensive experience in software development, particularly with languages like Python and Java, and is well-versed in modern coding practices. The position offers a hybrid work model and competitive compensation. #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 GoodLeap: GoodLeap is a technology company delivering best‑in‑class financing and software products for sustainable solutions, from solar panels and batteries to energy‑efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap's proprietary, AI‑powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for sustainable solutions since 2018. GoodLeap is also proud to support our award‑winning nonprofit, GivePower, which is building and deploying life‑saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America. Position Summary We're looking for a passionate and experienced Staff Software Engineer to join our team that owns the core of our payments technology. In this role, you'll help design, build, and scale both our payments platform and customer‑facing payment products, ensuring they are secure, reliable, and performant. You'll collaborate closely with product managers, designers, and fellow engineers to deliver seamless payments experiences that power every transaction. What You'll Do Architect, design, and evolve scalable, high‑performance APIs in a distributed environment that power Web, Mobile, and partner integrations Lead integrations with payment processors and alternative payment rails, ensuring reliability, compliance, and future extensibility Collaborate cross‑functionally with Product, Risk, Finance, and Operations to translate business requirements into resilient technical solutions Drive the full software development lifecycle, from technical design and implementation through testing, deployment, and post‑launch support Mentor and guide engineers across the team, setting high standards for system design, security, scalability, and code quality Champion operational excellence by building and enforcing practices around observability, documentation, monitoring, and alerting Proactively identify, troubleshoot, and resolve complex technical issues to maintain high availability and seamless customer experiences What You Bring 7+ years of back‑end development experience with Node.js and TypeScript Proven expertise in architecting complex distributed systems with a focus on scalability, reliability, and security Extensive experience in designing and developing RESTful APIs, including versioning, documentation, and performance optimization Hands‑on experience with cloud infrastructure (preferably AWS), including microservices, serverless, and containerized environments Strong system design and architectural decision‑making skills, balancing trade‑offs between performance, maintainability, and business needs Demonstrated ability to mentor and lead engineering teams, fostering collaboration, knowledge‑sharing, and technical excellence Passion for writing clean, maintainable code and driving best practices in testing, CI/CD, and observability Excellent communication and cross‑functional collaboration skills, with a proven track record of influencing technical direction at scale Bonus Points Knowledge of Stripe, QuickBooks, or similar payment platforms Experience with C# Experience with Datadog or similar observability tools Experience in FinTech or other highly regulated industries Previous work with real‑time payment processing systems Why Join Us Work on impactful projects that enable sustainability and energy solutions. Competitive salary and benefits package. Opportunity for professional growth in a collaborative, inclusive, and fast‑paced environment. Work with a passionate, forward‑thinking team dedicated to making a difference. Salary: $173,000 - $200,000 a year. In addition to the above salary, this role may be eligible for a bonus and equity. Additional Information Regarding Job Duties and s: Job duties include additional responsibilities as assigned by one's supervisor or other managers related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and other skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law. If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, then we want to work with you! Apply today! We are committed to protecting your privacy. To learn more about how we collect, use, and safeguard your personal information during the application process, please review Employment Privacy Policy and Recruiting Policy on AI. #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

Asana's rapid growth brings new challenges in keeping our systems fast, reliable, and resilient. As our product evolves, we're making a major investment in reliability - and building a brand new SRE team in Warsaw is a key part of that strategy. This is your chance to help shape it from day one. This isn't a traditional “ops” role - we're looking for strong software engineers who are passionate about building reliable, distributed systems. You'll work closely with a small SRE team in San Francisco, infrastructure engineers in Reykjavik, and an established infrastructure team in Warsaw. Warsaw will be a significant hub for our future infrastructure engineering and operations. As one of the first engineers here, you'll have a real say in how we build reliable infrastructure, manage incidents, and support the rest of the company. This role is based in our Warsaw office with an office‑centric hybrid schedule - in‑office days are Monday, Tuesday, and Thursday. We offer a Contract of Employment (UoP) for our employees in Poland. What you'll do: Influence the future of Asana's SRE practice, especially as we grow the Warsaw team. Lead reliability‑focused projects across our stack - from infrastructure to tooling to incident response. Define and implement Asana's incident management process - we're investing here, and you'll help shape how it works. Build internal platforms and frameworks that help other teams improve the reliability of their services. Be part of (and help shape) a sustainable on‑call rotation - shared across teams in Warsaw, San Francisco, and Reykjavik. On average, we handle ~1 page per day, but it's not constant, and we care about keeping things sane. Work with our stack: AWS, Kubernetes (EKS), Datadog, MySQL (RDS), ElasticSearch (OpenSearch), Redis, DynamoDB, Terraform, TypeScript, Scala, Go, and Python. (Yeah, we know this sounds like buzzword bingo - but we want this post to actually show up in your searches.) About you: You're a strong and experienced software engineer who's comfortable writing and reading code - this isn't an ops role. You care about reliability, scalability, and long‑term maintainability, not just quick fixes. You might have worked as an SRE before - or maybe you were a product engineer who kept getting pulled into infra work because you cared about how systems actually run. You've seen systems at scale (or want to), and you're excited about solving infrastructure problems that have broad impact. You're curious, take initiative, and aren't afraid to work in ambiguous spaces - especially important on a brand new team. You collaborate well across teams and want to help others build more reliable systems. You don't need to know our exact stack, but you're eager to learn whatever it takes to make things better. You demonstrate curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision‑making. Why this role? Founding team: You'll be one of the first SREs in Warsaw - and a key player in a growing team. Drive real change: This isn't a role where you'll just patch up legacy systems. We are expecting (and supporting) real architectural changes to improve reliability, scalability, and long‑term operability. Big impact: Our product is scaling fast, and reliability is a top company priority. Room to grow: As this team grows, so will your influence - whether you want to lead projects, mentor others, or help shape how we scale. Global collaboration: Work closely with experienced engineers in San Francisco, Reykjavik, and Warsaw, while helping build the future of SRE at Asana. What we offer: Generous, transparent and fair compensation system (base salary and generous Restricted Stock Unit for Asana Inc.). Contract of Employment (with 50% tax deductible costs for author's rights usage for Engineers). Health insurance with dental and travel coverage (Lux Med). Lunch catering on the days that you work from the office. Career growth budget. Home office setup budget. Gym/Fitness reimbursement. Fertility healthcare and family‑forming support with Carrot. Mental health support in Modern Health. Group life insurance. MacBooks with all necessary accessories. For this role, the estimated base salary range is between 23 000 and 33 000 PLN gross monthly on the contract of employment (UoP). The actual base salary will vary based on various factors and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base compensation range for this role may be modified. Our total compensation consists of base salary and equity (RSUs). About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office‑centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. Join Asana's Talent Network to stay up to date on job opportunities and life at Asana. #J-18808-Ljbffr

Work With Us At Liquid, we're not just building AI models-we're redefining the architecture of intelligence itself. Spun out of MIT, our mission is to build efficient AI systems at every scale. Our Liquid Foundation Models (LFMs) operate where others can't: on-device, at the edge, under real-time constraints. We're not iterating on old ideas-we're architecting what comes next. We believe great talent powers great technology. The Liquid team is a community of world-class engineers, researchers, and builders creating the next generation of AI. Whether you're helping shape model architectures, scaling our dev platforms, or enabling enterprise deployments-your work will directly shape the frontier of intelligent systems. While San Francisco and Boston are preferred, we are open to other locations. This Role Is For You If: You have experience writing high-performance, custom GPU kernels for training or inference You have an understanding of low-level profiling tools and how to tune kernels with such tools You have experience integrating GPU kernels into frameworks like PyTorch, bridging the gap between high-level models and low-level hardware performance You have a solid understanding of memory hierarchy and have optimized for compute and memory-bound workloads You have implemented fine-grain optimizations for a target hardware, e.g. targeting tensor cores Desired Experience: CUDA CUTLASS C/C++ PyTorch/Triton What You'll Actually Do: Write high-performance GPU kernels for inference workloads Optimize alternative architectures used at Liquid across all model parameter sizes Implement the latest techniques and ideas from research into low-level GPU kernels Continuously monitor, profile, and improve the performance of our inference pipelines What You'll Gain: Hands-on experience with state-of-the-art technology at a leading AI company Deeper expertise in machine learning systems and performance optimization Opportunity to bridge the gap between theoretical improvements in research and effective gains in practice A collaborative, fast-paced environment where your work directly shapes our products and the next generation of LFMs About Liquid AI Spun out of MIT CSAIL, we're a foundation model company headquartered in Boston. Our mission is to build capable and efficient general-purpose AI systems at every scale-from phones and vehicles to enterprise servers and embedded chips. Our models are designed to run where others stall: on CPUs, with low latency, minimal memory, and maximum reliability. We're already partnering with global enterprises across consumer electronics, automotive, life sciences, and financial services. And we're just getting started. #J-18808-Ljbffr

San Francisco | Hybrid, 3 days/week | $200K - $280K + equity I'm partnering with a rapidly scaling healthtech startup that has just raised a $40M Series A to expand its engineering team. Their AI-powered platform is already helping clinicians by automating huge amounts of back-office work, and now they're looking for a senior engineer to help take their copilots from demo to full production. What you'll do: Build and scale machine learning systems that power real healthcare products Work across the full ML lifecycle: from data pipelines, to model training, to deployment Adapt and fine-tune large foundation models to real-world use cases Help improve speed, cost, and performance of AI features in production Provide technical leadership and mentor a junior ML engineer What we're looking for 5+ years of experience building ML systems that are used in production Strong Python skills (PyTorch or JAX experience is a plus) Background taking research ideas into production-ready services Good understanding of how to evaluate models and measure impact Experience with modern LLM/AI techniques (LoRA, RAG, structured prompts, model optimisation) If this sounds like a good fit and you'd like to know more, please apply and we'll be in touch.

A leading entertainment company based in San Francisco seeks an experienced Effects Technical Director for future opportunities. This role involves designing FX animations and procedural simulations for feature film visual effects. Ideal candidates will have 3-5 years of experience and a Bachelor's degree in a related field. The anticipated salary range for this position is between $90,400 to $118,700 annually, depending on various factors including skills and experience. #J-18808-Ljbffr