Application engineer jobs in San Ramon, CA - 3,689 jobs

At Meter, we're rebuilding the networking infrastructure stack from the ground up-hardware, software, and operations-so enterprises can finally have networks that are performant, secure, and reliable without the complexity of legacy vendors. Your job: tell that story and build credibility and trust with the IT and networking community. Show the world why networks matter, why they've been broken for decades, and how Meter is changing that. What success looks like In your first 6-12 months, you'll drive five concrete outcomes: Community growth: Build Meter's practitioner community to 1,500+ active members across Slack, LinkedIn, and Reddit by Month 9, with 30% MoM engagement growth. Content impact: Publish four high-quality technical pieces per month (blogs, demos, videos, or webinars) that collectively drive 10,000+ organic visitors. Customer adoption through demos/tutorials: Enable sales and channel teams to use your content by Month 6, with 5 customer quotes/testimonials directly citing your work in sales cycles. Event and field presence: Represent Meter at 1 community networking event per month (Wi-Co, NUGS, AutoCon, ONUG, WPLC, etc.) and at 6 industry or partner events in the first year, securing 3+ speaking slots or panels. Partner and customer briefing program: Design and launch a repeatable Executive Briefing Center (EBC) program for partners and customers by month six. What your week looks like Monday: Draft a deep-dive blog post on why legacy “network-as-a-service” is just financial packaging-and how Meter's full-stack approach is different. Tuesday: Record a demo of how Command turns troubleshooting into a single question. Wednesday: Jump into Reddit to answer a practitioner's question about Wi‑Fi 7 APs. Thursday: Speak at a networking community event to build awareness and credibility. Friday: Review metrics-traffic, mentions, developer engagement-and plan what to double down on. Who you are We're not looking for a generic “brand ambassador.” We're looking for someone who: Has a technical foundation-comfortable with networking concepts, running demos, or getting hands‑on with new features. Can translate complex technology into plain English that practitioners and executives both understand. Is happiest when building content from real product use: demos, tutorials, blog posts, talks. Has shipped something-labs, docs, videos, or tools-that other engineers actually used and found valuable. Enjoys being in the mix with the community: answering questions, presenting at meetups, and sharing knowledge openly. Why Meter? The internet runs the world. Every purchase you make, video call you join, it's all packets flowing through networks. But those networks haven't changed for decades. They're brittle, complex, and surprisingly hard to set up in an enterprise space. We started Meter to build better networks. We had to build everything from the ground‑up: designing and building our own enterprise hardware, intuitive software, and streamlined operations to deliver great outcomes for our customers. Today, we build and deploy these networks at scale. Ambitious companies and enduring institutions like Bridgewater, Lyft, Reddit, rely on Meter to keep their thousands of employees and locations online and productive. Our bet with Meter is simple: we will all use the internet more than we do today. We believe we have the definitive networking stack in place to enable business to do so as seamlessly and reliably as any modern utility. Compensation The estimated base salary for this role is between $160,000 - $220,000. Additionally, this role is eligible to participate in Meter's equity plan. By applying to this job you acknowledge that you've read and understood Meter's Job Applicant Privacy Notice. #J-18808-Ljbffr

A leading tech company in California is seeking a Technical Marketing Lead who will own marketing systems and build automation tools. You'll create AI-native workflows and work with tools like Claude Code and Cursor. Ideal candidates will have 4-8 years of B2B marketing experience and a track record of building and deploying effective systems. This is a chance to take ownership from day one and prove yourself in a rapidly evolving environment. #J-18808-Ljbffr

About Us Relace is building the models and infrastructure that code agents reach for. We power the fastest model on OpenRouter (10,000 tok) and deliver optimized small language models designed for retrieval, application, and core code generation functions. Our technology supports some of the world's fastest-moving companies - including Lovable, Figma, and Vercel - as they deploy and scale code generation to hundreds of millions of users. We recently raised our Series A from a16z, and we're growing quickly. Our team is made up of mathematicians, physicists, and computer scientists who are deeply passionate about their craft. If you thrive on ambitious technical problems, care about elegant systems design, and want to build the foundation of how code gets written at scale, this is the place for you. The Role We're looking for a Head of Growth who can move fast, experiment relentlessly, and turn great ideas into measurable traction. You'll be in the trenches, shipping campaigns, testing new channels, building loops, and driving real user adoption. As our first dedicated growth leader, you'll own our playbook across social, product, community, and performance marketing. You should be as comfortable writing a launch tweet or spinning up a landing page as you are evaluating funnel metrics and iterating on experiments. You'll work closely with our founders, engineering, and product teams to bring Relace to the broader developer and builder ecosystem. You'll: Run fast, creative campaigns across X (Twitter), LinkedIn, Discord, and other channels to build awareness and convert technical audiences. Design, launch, and iterate growth loops that turn attention into active users and advocates. Identify new distribution channels, partnerships, and viral opportunities before they're obvious. Own our growth stack - from analytics to landing pages to automation. Build a culture of experimentation: rapid iteration, smart measurement, and learning fast. Collaborate directly with engineering and research to translate technical breakthroughs into accessible, compelling narratives. #J-18808-Ljbffr

A leading technological company is seeking a Sales Engineer to join their rapidly growing team in San Francisco. The ideal candidate will partner with clients to understand their needs and educate them on WEKA's advanced data management solutions, focusing on high performance workloads and cloud technologies. Responsibilities include technical presentations, system evaluations, and acting as a customer advocate. Candidates should have a strong background in Linux and distributed file systems. This role offers a competitive salary range of $250,000-280,000 and is geared towards fostering innovation and customer success. #J-18808-Ljbffr

About Us Point One Navigation is building the future of precise location. Our mission is to deliver a unified location platform that enables autonomy, safety, and efficiency across industries from robotics to transportation. We are a high-performance, high-collaboration team that thrives on solving complex problems, moving fast, and delivering impact. Role Outcome We are looking for a Field Application Engineer (FAE) based in US to support technical adoption and success of our GNSS/GPS SaaS solutions across key accounts globally. You will play a vital role in the go-to-market process, partnering closely with Sales, Product, Customer Success, and Engineering teams around the world. As an FAE you will provide technical advisory and expertise on full system design, have the ability to not only build technical relationships but effectively influence lead engineer and technical decisions through technical storytelling. Must be deeply interested in debugging/troubleshooting/investigating technical challenges. Success in this role means being responsible and owning technical wins and cultivating technical champions with prospects and customers. You'll work with prospects and customers in verticals such as autonomous vehicles, robotics, drones, industrial automation, and precision agriculture. From designing proof-of-concepts to architecture reviews to post-sales support, you'll be instrumental in helping customers succeed with our technology. Immediate Areas of Focus Pre-Sales Technical Engagement: Partner with the Sales team to understand customer needs and deliver technical presentations, workshops, and demos. Design and execute proof-of-concepts (PoCs) to engage deeply with engineering teams and technical stakeholders to guide them through product evaluation and decision-making. Solution Architecture & Design: Lead customers through architecture reviews, deployment planning, and systems integration design involving GNSS corrections, cloud services, autonomy stacks, and embedded systems. Recommend scalable integration strategies and help customers plan for high-precision, real-time positioning deployments. Post-Sales Technical Enablement & Support: Support product integration, onboarding and adoption by providing hands-on technical guidance, documentation, and training. Act as the technical liaison between the customer and internal teams to troubleshoot issues and optimize performance. Ensure successful long-term product usage and contribute to technical success planning for key accounts. Global & Regional Collaboration: Work in close coordination with global counterparts in North America, EU, APAC to ensure alignment on strategy, resources, and product support. Serve as a bridge between customers and the global product/engineering organization, bringing localized insight to the global roadmap. Support internal initiatives such as solution standardization, reusable assets, demo environments, and training content. Qualifications 2+ years of customer facing engineering role 2+ years in a hardware, software and/or GNSS space Ability to travel 25% of time Our Cultural Foundation At Point One, our cultural and operating design is built around one guiding principle: we must move with extreme speed and efficiency of effort to stay in a leadership position. This environment gives people a high level of autonomy and the ability to make a real impact. It also challenges every team member to grow - both professionally and personally. Because we focus on promoting from within rather than relying on external hiring, the opportunities for advancement are tremendous for those who seek them. That said, growth only comes from delivering in the present. What matters most is the job to be done today, not the job you want tomorrow. When we all focus on today's outcomes with excellence, the path to greater responsibility and growth naturally follows. We think about our culture in two dimensions: How We Show Up Every Day These are the behaviors we expect every team member to bring to work - the foundation of being a consummate, high-output teammate: Trust / Assume Best Intent - Trust allows us to move fast. When we start from trust, we spend no time second-guessing or looking for ulterior motives and thus focus all our energy on acting. High Output, Action Oriented - Our default posture is “yes.” We bias toward action and deliver results quickly, knowing that speed and efficiency compound into impact as we unblock others around us. Divine Discontent - We're never satisfied with the status quo and are self-motivated to improve ourselves, our work, and our company. We actively seek feedback in real-time to shorten improvement cycles. No Ego, One Team - Collaboration without ego creates leverage. When we win as one team, we eliminate friction and move faster together. Self Accountability - Taking ownership is the straightest line to learning, self-improvement, and correcting our course of action. And blaming others around us is a fast path to destroying trust. Operating Principles These are the systems and norms that amplify speed and efficiency at the company level: Edge Innovation - We bias toward action over approval. Experiment, decide, and move - failure is just a step toward faster learning. No Hierarchies - We practice self-prioritization and go direct to the source. Flattening layers reduces drag and maximizes autonomy. Customer Experience First - We optimize for the end-to-end customer outcome, not functional or departmental efficiency. This focus cuts waste, aligns priorities, and ensures we spend effort where it matters most. If this role sounds like a fit, we'd love to hear from you. Apply below and join us in shaping the future of precise location. #J-18808-Ljbffr

We are seeking a Technical Marketing Engineer (TME) to join our product and go-to-market team. As a TME, you will bridge the gap between product, engineering, and marketing by crafting compelling technical content, enabling field teams, and influencing product strategy based on technical market insights.You'll work closely with product managers, tech pubs, our developers, solutions architects, and customers to tell the technical story of our platform. This role is ideal for a technically curious and communicative individual who enjoys distilling complex topics into engaging, digestible formats that drive adoption and enable customer success. The work is ambitious, stimulating and you will have the opportunity to work on cutting edge technology in the AI/ML, GenAI and cloud native space. Key Responsibilities Content & Messaging Develop technical marketing collateral such as whitepapers, solution briefs, how-to guides, and demo scripts. Create compelling technical presentations for webinars, sales enablement, and conference sessions. Build and maintain demo environments and reproducible reference architectures. Product & GTM Enablement Collaborate with Product and PMM to define messaging and positioning for new features and releases. Drive technical enablement for sales, partner, and customer success teams (e.g., internal walkthroughs, battlecards). Partner with the Community to engage developer audiences and represent the product in technical forums. Conduct technical competitive analysis and benchmark comparisons to highlight differentiators. Gather customer feedback from POCs and field engagements to influence product direction. Identify common use cases and patterns from customers and translate them into GTM assets. Record product demos and walkthrough videos to support campaigns and launches. Speak at virtual events, meetups, and conferences when needed. Write blog posts that explore the product's value from a hands‑on perspective. Technical Skills 3-6 years experience in technical marketing, solutions engineering, developer advocacy, or a related technical field. Solid understanding of Kubernetes, cloud infrastructure, AI/ML, data platforms, etc. Ability to write and explain code and architecture (Python, YAML, Terraform, Bash, etc. - based on product). Familiarity with developer workflows and cloud-native tools. Communication & Enablement Exceptional written and verbal communication skills, especially for technical audiences. Experience creating and delivering technical presentations and product demos. Ability to translate complex product features into clear, solution‑oriented narratives. Comfortable working cross‑functionally across product, engineering, marketing, and sales. Proven ability to manage multiple deliverables and deadlines in a fast‑paced environment. Self‑starter who thrives on autonomy, impact, and creative freedom. Desired Skills Hands‑on experience with open‑source or developer tools ecosystems. Familiarity with producing and editing video or webinar content. Experience with tools like GitHub, VS Code, Kubernetes, Docker, Jupyter, or cloud platforms (AWS, GCP, Azure). WHY JOIN RAFAY Rafay is at the forefront of Kubernetes and GPU PaaS technologies and we offer unique opportunities to join a winning team working on foundational technology for cloud and AI/ML services and enterprises. We work in a collaborative environment that rewards creative thinking and provides opportunities to advance professional careers in advanced technology development. On top of this, we offer a solid work/life balance, a fun and dynamic work environment, a competitive salary, robust benefits and attractive stock options. As the first of our kind, we are truly in a class of our own. #J-18808-Ljbffr

Who we are: Ambient.ai is a unified, AI-powered physical security platform helping the world's leading enterprises reduce risk, improve operational efficiency, and gain critical insights. Seven of the top 10 U.S. technology companies, along with multiple Fortune 500 organizations, rely on Ambient.ai to modernize their physical security infrastructure. Our platform uses advanced AI and computer vision to seamlessly integrate with existing camera and sensor systems, enabling real-time monitoring and proactive threat detection. By reducing false alarms by over 95%, Ambient.ai allows security teams to focus on real threats and prevent incidents before they occur. Founded in 2017 and backed by Andreessen Horowitz, Y Combinator, and Allegion Ventures, Ambient.ai is a Series B company on a mission to make every security incident preventable. We've found that in-person time meaningfully supports collaboration, creativity, and team alignment. Our engineering, product, design, and marketing teams work from our Redwood City office 3 days per week. All other Bay Area employees join on Fridays to stay connected and close out the week together. Ready to learn more? Connect with us on LinkedIn and YouTube About the role: Reporting to Tom Fischer, we're looking for a top-tier Sales Engineer with experience supporting SLED accounts to join our growing team. You'll play a critical role in helping state, local, and education institutions evaluate Ambient.ai's platform. This role is ideal for a technically strong, customer-obsessed individual who excels in navigating long, complex sales cycles and public-sector stakeholder environments. You'll partner closely with Regional Sales Managers to lead pilots, deliver tailored demos, and map technical capabilities to public-sector mission outcomes - all while working across internal teams to shape a customer-centric roadmap. What you'll do: Partner with Regional Sales Managers to support strategic SLED opportunities, often involving complex, multi-agency stakeholders. Lead successful technical Pilots (proof of concepts/proof of value) that reflect the real-world needs of public institutions. Drive technical conversations and discovery across IT, Security, Procurement, and department-level stakeholders. Deliver impactful demos and presentations to both technical and non-technical audiences. Anchor Ambient's business value through structured Business Value Assessments, tailored to the public sector. Provide subject-matter expertise throughout the sales cycle, answering technical questions and proposing architecture. Collaborate cross-functionally with Product, Engineering, and Customer Success to influence the roadmap and drive post-sale success. Act as a trusted advisor and technical resource throughout the entire evaluation and procurement process. What you'll bring: Strong communication and presentation skills with the ability to simplify technical concepts. 5+ years of experience as a Sales Engineer or Solutions Engineer supporting enterprise or SLED customers. Familiarity with navigating RFP/RFQ and procurement cycles in public-sector sales. Background in enterprise SaaS, networking and/or hardware-integrated solutions. Experience supporting deals involving networking, video surveillance, or physical security infrastructure is a plus. Understanding of networking concepts (e.g., VLANs, L2 vs. L3, IP/gateway assignment). Basic Linux and cloud familiarity (AWS, GCP, or Azure). Bonus: Experience with physical access control systems (PACS), security cameras, or public safety applications. Bachelor's degree in Computer Science, Engineering, or a related field preferred. Salary and Equity: At Ambient.ai, we take a market-based approach to compensation. Final offers are based on job-related skills, experience, location, and internal equity. Base + Commission: SF Bay Area: $200 - $210k OTE Why join us: We are creating an entirely new category within a 120+ billion-dollar physical security industry and looking for team members who are also passionate about our mission to prevent every security incident possible We have an impressive customer roster of F500 companies, including Adobe, SentinelOne, and TikTok Regular Full-time employees receive stock options for the opportunity to share ownership in the success of our company Comprehensive health + welfare package (Medical, Dental, Vision, Life, EAP, Legal Services, 401k plan) We offer flexible time off to rest and recharge, including Winter Break (time off between Christmas and New Year's for most roles, depending on customer demand) You'll receive everything you need to hit the ground running, including cutting-edge equipment and branded gear Enjoy a full range of opportunities to connect with your awesome co-workers We love to hike, are foodies, and love music! Check out our most recent Ambient Spotify Playlist Ambient.ai is proud to be an Equal Opportunity Employer. Ambient does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. Ambient is an E-Verify participant. #J-18808-Ljbffr

TypeScript Developer - $90/hr Remote - Alignerr About the job At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting‑edge AI models. Organization: Alignerr Position: TypeScript Developer Type: Hourly Contract Compensation: $60-$90 /hour Location: Remote Commitment: 10-40 hours/week Role Responsibilities Review and provide feedback on AI-generated TypeScript code for type safety and best practices. Solve complex development challenges using idiomatic TypeScript and modern frameworks. Write detailed summaries explaining architectural decisions and type logic. Bridge the gap between strong type systems and intelligent AI models. Requirements Bachelor's degree or higher in Computer Science or a related field preferred. Expertise in TypeScript, including static typing, generics, interfaces, and utility types. 3-5 years of experience with modern frontend or full‑stack frameworks (e.g. React, Angular, Node.js, Next.js, Nuxt.js). Exceptional written and verbal communication skills. Preferred Experience with data annotation or model evaluation systems. Application Process (Takes 15-20 min) Submit your resume Complete a short screening Project matching and onboarding $60 - $90 an hour #J-18808-Ljbffr

A leading educational technology company in San Francisco is seeking a Senior or Staff Machine Learning Engineer to design and implement large-scale recommendation systems. Ideal candidates will have over 10 years of experience with personalization and ranking systems. This onsite position requires strong skills in Python and PyTorch and a commitment to responsible machine learning practices. Competitive compensation includes salaries from $209,920 to $285,000 plus stock options. #J-18808-Ljbffr

Save time by importing your resume in one of the following formats: .pdf, .doc, .docx, .odt, or .rtf. The hiring team may use this number to contact you about this job. Address (Optional) Include your city, region, and country, so that employers can easily manage your application. Extensive experience with streaming data technologies, particularly Apache Flink. Strong technical expertise in big data, distributed systems, and real-time data processing. Willingness to travel as needed to support sales activities and customer engagements. #J-18808-Ljbffr

About Us 🚀 At Relevance AI, we're building the future of work. Our mission is to enable the next doubling in human prosperity by delegating as much work as possible to an AI Workforce - a team of AI agents working together in a multi-agent system. We are building an entirely new category and scaling rapidly to meet unprecedented customer demand. We need exceptional talent to help us grow. If you're ready to be part of a trailblazing company that's at the cutting edge of AI, this is the place for you. The Role We're looking for Solution Engineers across broad experience levels to join our dynamic team. This role involves building production-grade AI agents for customers, enabling them to create their own AI-powered solutions, and ensuring a seamless customer experience. You'll work closely with customers to develop AI solutions that drive real business impact while also identifying opportunities for further adoption of our platform. This is an exciting opportunity for someone passionate about AI, problem-solving, and working directly with customers to transform their businesses with intelligent automation. Your impact Work across both the pre-sales and post-sales customer journey, wearing multiple hats. Develop best-practice AI agents that solve real customer problems. Enable and train customers to build AI agents on the Relevance AI platform. Manage scope and timeline for AI agent deployment and customer onboarding. Maintain and enhance customer relationships by providing ongoing support. Identify upsell opportunities and drive customer adoption. What We're Looking For 5+ years of experience in a Solutions Engineering/ Consulting role, preferably with no-code/low-code platforms and AI-driven solutions. Strong customer-facing skills with a track record of driving value and success while meeting deadlines. Strong technical foundation and proficiency working with APIs. Experience with coding in Python and LLMs is highly valued. Ability to translate business needs into technical solutions and communicate complex concepts to non-technical stakeholders. Passion for AI and its real-world applications, with a solutions-oriented mindset and a drive for continuous learning. Why Join Us? Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward. We\'re guided by our five values: truth-seeking, be empathetic, put the customer first, have two gears, and build memories. We've set high standards in our high-trust environment-we hire exceptional people to do great work. In return, we reward our people with competitive salaries, unparalleled professional growth and career-defining opportunities. Relevance AI is well-funded by leading investors, including Insights Partners, Peak XV, King River Capital. As an early team member, you'll play a key role in shaping our future-including our culture, ways of working, and even the benefits we offer. We're laying the foundations now, and your ideas can help define what comes next. #J-18808-Ljbffr

A global technology company is looking for a seasoned software engineer to enhance AI capabilities within their observability platform. Candidates should have a strong background in AI/ML systems, cloud computing, and robust technical leadership. This role is pivotal in driving innovation in data analysis and delivering scalable solutions. The ideal candidate will thrive in an agile environment and provide mentorship to junior engineers. Enjoy competitive salaries and benefits while contributing to impactful technology solutions. #J-18808-Ljbffr

We're hiring a hybrid Sales Engineer / Solutions Architect who will serve as the connective tissue between Sales, Product, and Post-Sales. This is a hands‑on builder role designed for someone who can: Architect creative solutions around product gaps or edge cases Participate in deep technical discovery with AEs Design and implement custom workflows, integrations, and configurations Support post‑sale onboarding teams when advanced implementation help is needed Translate customer needs into clear product requirements (“voice of the customer”) Proactively prototype solutions using Reevo's APIs, workflows, automations, and data models This is not a classic SE role; it combines technical strategy, solution design, light implementation, and cross‑functional collaboration with Product and CS. WHAT YOU WILL DO: Pre-Sale (Sales Engineering) Partner with AEs in early and late-stage cycles to provide technical discovery, architecture diagrams, and solutioning strategies Build and demo customized workflow prototypes, automations, and data models to de-risk deals Identify and propose workarounds for product gaps using Reevo's modular platform Own the technical win: security, compliance, integrations, implementation feasibility Help craft RFP responses and high‑fidelity technical POVs Implementation (Solutions Architecture) Work closely with Onboarding/Implementation Managers to design realistic customer deployment plans Configure advanced workflows, sequences, conversation AI models, and integrations Build/assist with connectors (Salesforce, HubSpot, calendars, enrichment APIs, etc.) Translate nuanced customer GTM workflows (SDR → AE → AM → CS) into Reevo-native flows Post-Sale (Technical Enablement & Expansion) Partner with Product Ops to identify expansion opportunities requiring technical design Troubleshoot complex customer issues that require deeper system understanding Maintain solution documentation and repeatable playbooks that scale Advocate for product enhancements with clear requirements and business cases Serve as a “technical consigliere” to strategic accounts WHAT WE'RE LOOKING FOR: 3-7 years in Sales Engineering, Solutions Architecture, Technical Consulting, RevOps Engineering, or Product Ops You're comfortable architecting technical workflows and implementing them hands‑on Strong experience with APIs, webhooks, workflow tools, integrators (Zapier/Workato), or internal automation platforms Experience with CRM systems (Salesforce, HubSpot, Attio, Pipedrive) Strong understanding of modern GTM motions (SDR → AE → AM → CS) Ability to translate ambiguous needs into structured solutions Excellent communication - able to speak credibly with both CEOs and technical ICs Comfortable moving fast in a startup with evolving product surface area You love solving user pain, and you're not afraid to get your hands dirty building the fix ABOUT REEVO: At Reevo, we're reimagining the entire revenue stack from the ground up, and we're doing it with speed. We're building software that orchestrates every go‑to‑market motion, enabling B2B teams to operate faster, smarter, and more collaboratively. By combining automation, intelligence, and a radically intuitive interface, we're helping companies unlock new levels of productivity and growth across marketing, sales, ops, and customer success teams. If you're excited about working on a product that reshapes how revenue teams work and being surrounded by curious, driven teammates, you'll feel right at home here. From day one, you'll get real ownership, real mentorship, and real impact. Our team of 50+ builders has 30 exits under their belt, so you'll be in good company-and working alongside the best. #J-18808-Ljbffr

A pioneering technology firm in San Francisco seeks a Staff Machine Learning Engineer to lead the integration of core technology with partner platforms like AWS and Databricks. This role requires over 10 years of experience in industry, focusing on developing and implementing fault-tolerant systems and collaborating closely with partners to drive product impact. Candidates should excel in mentoring, technical roadmaps, and maintaining high engineering standards. #J-18808-Ljbffr

About the Team The Sora team is working on making video a key capability of OpenAI's foundation models. We are a hybrid research and product team that seeks to understand and expand the capabilities of our video models, while ensuring their reliability and safety. We accomplish this both through directly studying and experimenting with the models, as well as deploying them into the real-world to distribute their benefits widely. About the Role As a Distributed Systems/ML engineer, you will work on improving the training throughput for our internal training framework and enable researchers to experiment with new ideas. This requires good engineering (for example designing, implementing, and optimizing state-of-the-art AI models), writing bug-free machine learning code (surprisingly difficult!), and acquiring deep knowledge of the performance of supercomputers. We're looking for people who love optimizing performance, understanding distributed systems, and who cannot stand having bugs in their code. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Collaborate with researchers to enable them to develop systems-efficient video models and architectures Apply the latest techniques to our internal training framework to achieve impressive hardware efficiency for our training runs Profile and optimize our training framework You might thrive in this role if you: Have experience working with multi-modal ML pipelines Love diving deep into systems implementations and understanding their fundamentals in order to improve their performance and maintainability Have strong software engineering skills and are proficient in Python. Have experience understanding and optimizing training kernels Are passionate about understanding stable training dynamics About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. OpenAI Affirmative Action and Equal Employment Opportunity Policy Statement For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Compensation Range: $380K - $555K #J-18808-Ljbffr

A blockchain-based payment company is looking for an early Product Engineer to help partners move money on-chain. You will work with design partners to build production-ready applications. Responsibilities include delivering customer applications, building fullstack solutions, and collaborating with cross-functional teams. The ideal candidate has strong TypeScript skills, and needs to thrive in a collaborative, high-energy environment. This role is perfect for engineers aspiring to take initiative and deliver impactful solutions. #J-18808-Ljbffr

Sciforium is an AI infrastructure company developing next-generation multimodal AI models and a proprietary, high-efficiency serving platform. Backed by multi-million-dollar funding and direct sponsorship from AMD with hands‑on support from AMD engineers the team is scaling rapidly to build the full stack powering frontier AI models and real‑time applications. About the role Sciforium is seeking a highly skilled Distributed Training Engineer to build, optimize, and maintain the critical software stack that powers our large-scale AI training workloads. In this role, you will work across the entire machine learning infrastructure from low-level CUDA/ROCm runtimes to high-level frameworks like JAX and PyTorch to ensure our distributed training systems are fast, scalable, stable, and efficient. This position is ideal for someone who loves deep systems engineering, debugging complex hardware-software interactions, and optimizing performance at every layer of the ML stack. You will play a pivotal role in enabling the training and deployment of next-generation LLMs and generative AI models. What you'll do Software Stack Maintenance: Maintain, update, and optimize critical ML libraries and frameworks including JAX, PyTorch, CUDA, and ROCm across multiple environments and hardware configurations. End-to-End Stack Ownership: Build, maintain, and continuously improve the entire ML software stack from ROCm/CUDA drivers to high-level JAX/PyTorch tooling. Distributed Training Optimization: Ensure all model implementations are efficiently sharded, partitioned, and configured for large-scale distributed training. System Integration: Continuously integrate and validate modules for runtime correctness, memory efficiency, and scalability across multi‑node GPU/accelerator clusters. Profiling & Performance Analysis: Conduct detailed profiling of compilation graphs, training workloads, and runtime execution to optimize performance and eliminate bottlenecks. Debugging & Reliability: Troubleshoot complex hardware-software interaction issues, including vLLM compilation failures on ROCm, CUDA memory leaks, distributed runtime failures, and kernel‑level inconsistencies. Collaborate with research, infrastructure, and kernel engineering teams to improve system throughput, stability, and developer experience. Ideal candidate profile 5+ years of industry experience in ML systems, distributed training, or related fields. Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or related technical fields. Strong programming experience in Python, C++, and familiarity with ML tooling and distributed systems. Deep understanding of profiling tools (e.g., Nsight, ROCm Profiler, XLA profiler, TPU tools). Deep expertise with partitioning configuration on the modern ML frameworks such as PyTorch and JAX. Experience with multi-node distributed training systems and orchestration frameworks (DTensor, GSPMD, etc.). Hands‑on experience maintaining or building ML training stacks involving CUDA, ROCm, NCCL, XLA, or similar technologies. Nice-to-have Extensive experience with the XLA/JAX stack, including compilation internals and custom lowering paths. Familiarity with distributed serving or large‑scale inference frameworks (e.g., vLLM, TensorRT, FasterTransformer). Background in GPU kernel optimization or accelerator‑aware model partitioning. Strong understanding of low‑level C++ building blocks used in ML frameworks (e.g., XLA, CUDA kernels, custom ops). Benefits include Medical, dental, and vision insurance 401k plan Daily lunch, snacks, and beverages Flexible time off Competitive salary and equity Equal opportunity Sciforium is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. #J-18808-Ljbffr

A technology solutions provider is seeking a Field Application Engineer to support technical adoption of GNSS/GPS SaaS solutions. This role involves working with sales and product teams to deliver presentations and lead architecture reviews. The ideal candidate will have 2+ years in a customer-facing role and experience in hardware or software. A willingness to travel 25% of the time is required. Join a dynamic team and contribute to the future of precise location in various industries. #J-18808-Ljbffr

WEKA is growing fast! We're looking for smart, dedicated, driven individuals that want to help the world's most innovative organizations solve complex data management challenges. WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure with a cloud and AI‑native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute‑intensive workloads run faster, work more efficiently, and consume less energy. WEKA is a pre‑IPO, growth‑stage company on a hyper‑growth trajectory. We've raised $375M in capital with dozens of world‑class venture capital and strategic investors. We help the world's largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. We're passionate about solving our customers' most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey. The Bay Area regional Sales Engineer will join our rapidly growing sales organization. Being a WEKA Sales Engineer will require you to partner with customers, understanding their needs and requirements, helping them to leverage the value and performance that WEKA can provide to their business and applications. Responsibilities Meet with customers and partners to educate them on the technical aspects of WEKA Assist with evaluations and system configurations Build and deliver technical product and architecture presentations and demos Become the advocate for WEKA customers and bring feedback back to the R&D and product management organizations Become a technical adviser to your customers and periodically review their status and inform on possible improvements Become an SME on WEKA and its ecosystem Contribute or lead responses to RFPs, RFQs, and RFIs Help in the creation and maintenance of Q&A's, best practices, and other technical documentation This is a Hands‑on position Requirements Familiar with high performance IO workloads Extensive filesystems system background - Experience with NFS, SMB and distributed parallel file systems Strong Linux OS knowledge Experience with performance demonstrations and analysis Prior experience in working at a start‑up company - an advantage Experience with running workloads in cloud hypervisors such as AWS, Azure, OCI or GCP Scripting abilities - an advantage Excellent verbal and written interpersonal skills The WEKA Way We are Accountable: We take full ownership, always- even when things don't go as planned. We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards. We are Brave: We question the status quo, push boundaries, and take smart risks when needed. We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation. We are Collaborative: True collaboration isn't only about working together. It's about lifting one another up to succeed collectively. We are team‑oriented and communicate with empathy and respect. We challenge each other and conduct positive conflict resolution. We are being transparent about our goals and results. And together, we're unstoppable. We are Customer‑Centric: Our customers are at the heart of everything we do. We actively listen and prioritize the success of our customers, and every decision we make is driven by how we can better serve, support, and empower them to succeed. When our customers win, we win. USA Residents Only The OTE hiring wage range for this position which the Company reasonably and in good faith expects to pay for the position in the specified geographic areas or locations, is $250,000‑280,000. Final compensation will be dependent on various factors relevant to the position and candidate such as geographical location, candidate qualifications, certifications, relevant job‑related work experience, education, skillset and other relevant business and organizational factors, consistent with applicable law. In addition, the position may include some of the following comprehensive benefits such Medical, Dental, Vision, Life, 401(K), Flexible Time off (FTO), sick time, leave of absence as per the FMLA and other relevant leave laws. Concerned that you don't meet every qualification above? Studies have shown that women and people of color may be less likely to apply for jobs if they don't meet every qualification specified. At WEKA, we are committed to building a diverse, inclusive and authentic workplace. If you are excited about this position but are concerned that your past work experience doesn't match up perfectly with the job description, we encourage you to apply anyway - you may be just the right candidate for this or other roles at WEKA. WEKA is an equal opportunity employer that prohibits discrimination and harassment of any kind. We provide equal opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. #J-18808-Ljbffr