Application Engineer jobs at TRUMPF - 592 jobs

A leading technology company in California seeks a Staff Machine Learning Engineer to architect and implement advanced ML solutions, focusing on enhancing guest and host experiences. The role requires extensive software engineering experience and a passion for building ML-powered products. As a mentor, you will guide engineers and promote AI/ML skill development within the organization. The position includes opportunities to shape innovative projects from inception to production. #J-18808-Ljbffr

A leading social media platform in Palo Alto is looking for a Technical Lead Manager in Ads Conversion Modeling. This role includes leading the User Match Prediction roadmap, developing conversion models, and partnering with various teams to drive performance. Ideal candidates have a strong software engineering background, machine learning knowledge, and 6+ years of relevant experience. The position offers a competitive salary and hybrid work flexibility. #J-18808-Ljbffr

Why Patch, why now Patch exists to rebalance the planet. We make environmental commodities easier to understand, trust, and buy at the scale the climate crisis requires. We're building the software and market infrastructure that powers unified climate action. Our platform is the trusted system for carbon-removal data, routing hundreds of millions of dollars to projects that permanently remove or reduce CO₂. If you want product work where your decisions influence an entire market and your code has measurable climate impact, let's talk. The role We're hiring Product Engineers to own outcomes end-to-end: deeply understanding customer problems, shaping solutions, and shipping reliable software that compounds in value. Environmental markets are currently slowed by fragmentation and uncertainty. Patch removes these constraints with software, data, and expertise. Our Product Engineers are at the center of that. Engineering at Patch is deeply product-shaped. We expect you to help define the problem, pressure-test solutions, and make principled trade-offs between speed, cost, and long-term maintainability. And ship. How we work (and what you should expect) You'll be operating in a high-trust Engineering, Product & Design (EPD) environment with clear accountability. Empowered accountability: We empower individuals through clear goals and “inspected trust, engaging early to catch misalignment without micromanaging. Customer proximity: We stay close to real customer signals (calls, transcripts, feedback) to validate assumptions early, avoid building on proxy narratives, and move faster with confidence. High standards: We build the future through proactive ownership, treating each other like true partners (direct but empathetic) and “amping it up” with urgency. What you'll do You'll own meaningful product surface area and drive it from ambiguous problem to shipped solution. Specifically, you will: Build customer-facing workflows that streamline the research, sourcing, and purchasing of environmental commodities. Partner with Product and Design to converge on 80/20 solutions-prioritizing fast learning and high impact. Act as the DRI on initiatives: clarifying scope, sequencing work, aligning stakeholders, and driving projects to the finish line. Raise the quality bar through thoughtful reviews, pragmatic architecture, and a bias toward getting the right things live. Communicate clearly and in writing, using meetings primarily for active collaboration and decision-making. What “success” looks like In your first months, success means shipping meaningful improvements while compounding team velocity-making smart trade-offs, simplifying complexity, and strengthening product trust. Over time, success means shaping direction: anticipating what the platform should become, mentoring others, and consistently delivering high-leverage outcomes that map back to Patch's mission. What we're looking for We are primarily hiring for Senior / Staff+ scope, given the level of ownership and ambiguity involved. However, we welcome earlier-career candidates who demonstrate exceptional product thinking and judgment. Strong candidates tend to possess the following: A product engineer's mindset: You care about the user, ask “what problem are we actually solving?”, and turn messy requirements into crisp scope. High ownership and urgency: You don't wait for instructions. You proactively propose what the next 3-12 months should look like and hold yourself to a high bar. Collaboration with accountability: You communicate directly with respect, disagree and commit, and prefer a DRI model over consensus-by-default. AI-native workflow: You routinely use AI to tighten feedback loops and unblock yourself, without lowering the bar for quality or judgment. Excellent engineering fundamentals: You build reliable, secure, and maintainable software, making pragmatic trade-offs that protect long-term velocity. Tech at Patch Our core stack is Ruby on Rails with Stimulus on the frontend. We view technology as a tool in service of the mission, so we hire for strong fundamentals, customer empathy, and the ability to ship. Prior Rails experience is helpful, but not required. What you'll get A mission-obsessed crew shipping with speed and sky-high standards Competitive salary and meaningful equity On-site culture in San Francisco with bi-annual off‑sites for deep strategy and team bonding Time‑off‑as‑needed vacation and generous parental leave Monthly wellness stipend (mental and physical) Commitment to Diversity: Patch is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant, candidate, or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, gender, gender identity, gender expression, sexual orientation, age, physical or mental disability, medical condition, marital/domestic partner status, military or veteran status, genetic information or any other legally-recognized protected basis under federal, state or local laws, regulations or ordinances. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. #J-18808-Ljbffr

A tech startup in San Francisco is seeking an empathetic Engineering leader to oversee Growth Engineering. Responsibilities include managing team performance, developing A/B test infrastructure, and enhancing marketing technologies. Ideal candidates have over 6 years of experience in e-commerce and marketing tech, deep knowledge of React and Typescript, and exceptional communication skills. The role offers a competitive salary plus equity, benefits, and unlimited PTO, fostering a culture of innovation and collaboration. #J-18808-Ljbffr

A tech startup in San Francisco is seeking an empathetic Engineering leader to oversee Growth Engineering. Responsibilities include managing team performance, developing A/B test infrastructure, and enhancing marketing technologies. Ideal candidates have over 6 years of experience in e-commerce and marketing tech, deep knowledge of React and Typescript, and exceptional communication skills. The role offers a competitive salary plus equity, benefits, and unlimited PTO, fostering a culture of innovation and collaboration. #J-18808-Ljbffr

Known - Founding Product Engineer San Francisco, CA (In-Person) 150-200k Known is a matchmaker that talks to users and supports them like a friend. Our mission is to empower humanity by applying general intelligence to human connection. Users join Known by telling us their life story. On average, our new users talk to our AI voice agent for 27 minutes, giving us uniquely intimate context. We are a team of engineers who've created some of the most widely used AI-driven consumer products including Uber, Uber Eats, Afterpay, and Cash App. We love to work hard, with a high degree of autonomy and ownership. We work together in‑person in Cow Hollow, San Francisco. About the Role We are looking for exceptional product builders to continue to elevate the Known mobile app. Building Known is an exercise in design. We strive to be the Apple of dating and our engineers are artisans who steward quality. We are a product‑led, user‑obsessed company. Our goal is to craft a product that feels intentional and distinctly human. You might be a fit if you Primarily work as a React Native engineer Build products centered around complex audio and voice features Want to design intelligence that leads to 1 million marriages Are highly detail oriented Our Investors We're backed by Eurie Kim and Kirsten Green at Forerunner Ventures (the investors behind Decagon, Faire, and Oura), NFX and PearVC. #J-18808-Ljbffr

A leading tech startup in San Francisco seeks a Founding Product Engineer to elevate its mobile app. The ideal candidate will primarily work with React Native and focus on designing complex audio and voice features. This role requires a detail-oriented approach to create a product that deeply connects with users. Join a team of engineers dedicated to craftsmanship and innovation, fostering an intentional and user-centric design that aims for success in human connection. #J-18808-Ljbffr

A leading social media platform in Palo Alto is looking for a Technical Lead Manager in Ads Conversion Modeling. This role includes leading the User Match Prediction roadmap, developing conversion models, and partnering with various teams to drive performance. Ideal candidates have a strong software engineering background, machine learning knowledge, and 6+ years of relevant experience. The position offers a competitive salary and hybrid work flexibility. #J-18808-Ljbffr

About Vercel: Vercel gives developers the tools and cloud infrastructure to build, scale, and secure a faster, more personalized web. As the team behind v0, Next.js, and AI SDK, Vercel helps customers like Ramp, Supreme, PayPal, and Under Armour build for the AI-native web. Our mission is to enable the world to ship the best products. That starts with creating a place where everyone can do their best work. Whether you're building on our platform, supporting our customers, or shaping our story: You can just ship things. About the Role: We are looking for a Product Engineer to join the v0 team, focusing on building and optimizing the next generation of AI-powered developer tools. As part of the v0 team, you will play a pivotal role in enhancing our AI-driven code generation and developer experience tooling, helping teams ship faster with cutting-edge AI-assisted workflows. You will work closely with product designers, AI researchers, and other engineers to develop intuitive and performant features that seamlessly integrate into the Vercel ecosystem. Your contributions will directly shape how developers interact with and benefit from AI-driven solutions in their workflows. If you're based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What You Will Do: Develop and enhance AI-powered developer tools within the v0 ecosystem, improving code generation, automation, and seamless integration with Vercel. Architect and implement performant, scalable, and reliable solutions that support AI-driven interactions in web development. Collaborate cross-functionally with AI researchers, frontend/backend engineers, and product teams to push the boundaries of AI in developer experience. Optimize and refine AI models to improve usability, performance, and accuracy in real-world developer workflows. Ensure an exceptional user experience through thoughtful UI/UX design, leveraging frameworks like React and Next.js. Stay ahead of emerging trends in AI and developer tooling, incorporating the latest advancements to enhance the v0 platform. Diagnose and resolve complex issues, ensuring the reliability and performance of AI-powered experiences at scale. About You: 5+ years of experience in full-stack development, with a strong emphasis on AI-powered or developer-focused tooling. Proficient in JavaScript/TypeScript, with experience building modern web applications using React and Next.js. Backend expertise in Node.js, Python, or Go, with a focus on developing scalable APIs and AI-driven services. Experience working with AI models and APIs (e.g., OpenAI, fine-tuned models, or LLM-based applications). Familiarity with cloud-based architectures and serverless platforms, particularly within the Vercel ecosystem. A strong passion for developer experience and a deep understanding of how AI can enhance productivity. Excellent problem-solving and communication skills, with the ability to work in a fast-paced, highly collaborative environment. Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $196,000-$294,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description. #LI-PF1 #J-18808-Ljbffr

A leading technology firm seeks a Senior Manager of Engineering to lead a skilled team in building foundational software for innovative applications. The ideal candidate has over 6 years of management experience and expertise in Java/J2EE technologies, including Spring and Hibernate. Responsibilities include driving results, managing large-scale applications, and implementing Agile practices. The role's compensation ranges from $215,000 to $300,000 annually, reflective of experience and qualifications. #J-18808-Ljbffr

Are you ready to join a growth-oriented team where creativity meets innovation? At Ware Malcomb, we are a dynamic and forward-thinking design firm committed to pushing the boundaries. Our team-oriented, collaborative approach ensures that every project is a blend of visionary design, seamless project delivery, and we are actively engaged with both the community and the industry. Discover our vibrant culture to get an inside look into life at Ware Malcomb and the programs we offer. ********************************************* As a Project Engineer at Ware Malcomb, you will support the delivery of innovative mechanical engineering projects from concept through construction. You will assist in preparing mechanical design reports and calculations, perform code research, develop complete sets of construction documents, and provide construction services such as site visits. This is a great opportunity to collaborate with clients, consultants, contractors, and our dynamic team while advancing your career in mechanical engineering. Your Role Complete computer and hand calculations supporting the mechanical design utilizing the applicable building and material codes while maintaining a high level of accuracy and attention to detail throughout all phases of the project. Prepare and oversee the development of models, calculation packages, construction documents, and specifications. Collaborate with Project Managers, Senior Project Managers and department managers to plan project layouts and integrate mechanical elements into cohesive designs. Participate in internal and external project meetings, coordinating with other disciplines. Conduct field work including site verifications, assessments, and troubleshooting. Perform construction administration duties, including periodic site visits to ensure compliance with design intent. Support the development and maintenance of engineering standards. Participate in quality assurance and quality control process within the team. Mentor the team in the use of mechanical calculation software and assist in task organization. Lead and coordinate mechanical engineering projects as Engineer of Record (EOR) when assigned. Conduct peer reviews and prepare reports on findings. Qualifications Bachelor's degree in Mechanical Engineering from an ABET-accredited program Professional Engineer (PE) license required 5+ years of experience in a mechanical engineering role Proficiency in Revit required Experience in Plumbing and Fire Protection design is highly preferred Strong communication, organizational, and analytical skills Ability to manage multiple priorities and provide technical guidance to team members Ability to provide timely, dependable, and professional service in a fast-paced environment Strong grasp of advanced financial concepts, with proven ability to perform intermediate calculations and conduct in-depth financial analysis $100,000 - $135,000 a year The compensation range is $100k-$135k, plus benefits. Read more about Life at Ware Malcomb. The final agreed upon compensation is based on individual education, qualifications, experience, licensing, project specialty/complexity and work location. At Ware Malcomb, certain roles are bonus eligible. This is a full-time, long-term position. Established in 1972, Ware Malcomb is a dynamic, forward-thinking commercial real estate design firm providing professional architecture, planning, interior design, civil engineering, branding, building measurement, structural engineering and MEP services to clients throughout the world. With office locations throughout the United States, Canada, Mexico and Brazil, the firm specializes in the design of office, industrial, science & technology, healthcare, multifamily, retail, and public/institutional projects. For six consecutive years, Ware Malcomb has been ranked as the #1 Industrial Sector Architecture Firm by Building Design + Construction Magazine. The firm is also ranked among the top 10 Architecture/Engineering firms in Engineering News-Record's Top 500 Design Firms and the Top 30 Interior Design Firms in Interior Design magazine's Top 100 Giants. For more information, visit ******************** #J-18808-Ljbffr

A Silicon Valley-based tech company is seeking a skilled AI Engineer to lead the maintenance and enhancement of AI solutions. The role involves optimizing AI systems, developing models, and managing APIs, predominantly using AWS services. Ideal candidates should have a strong background in AI development, proficiency in Python, and at least 6 years of experience. The position offers a competitive salary of $180,000 - $200,000 with comprehensive benefits and growth opportunities. #J-18808-Ljbffr

A mission-driven technology company in San Francisco seeks a skilled Product Engineer to develop an AI-based disability claims platform. This role combines technical expertise in Python and TypeScript with a product-minded approach to enhance access to government benefits. The ideal candidate will possess innovative problem-solving skills and thrive in a collaborative environment. Join us to make a difference in society through technology. #J-18808-Ljbffr

About Us Indent is building the platform that every software engineer begins and ends their day in. Our customers are large engineering teams who use Indent for everything from incident response to code review to data analysis. Indent is built to handle these tasks in the real world (think analyzing a 30,000 table warehouse, not vibe querying a tiny Postgres instance) with minimal setup. We are a small, engineering-focused team. We come from a background of systems and infrastructure engineering, working on things like the Swift Compiler, distributed data orchestration software, and scaled video conferencing systems. We think that rigor is an advantage in this get-rich-quick market. We are taking an ambitious approach to a massive market. At Indent, one engineer can own a product like the Incident Response Agent that outperforms entire companies solving the same problem. About You You have several years of experience with full-stack web development. Our application is built with Next.js/TypeScript/Tailwind on the frontend, Python/FastAPI/Postgres/Redis on the backend You understand how to build resilient applications with LLMs: managing tool calls, prompts, cost/latency tradeoffs, etc. You can talk directly with customers, analyze usage data, and iterate based on feedback. You can make sound product decisions on your own. You have clear likes and dislikes about AI coding tools you have tried, and know what should be better. We dogfood a lot! #J-18808-Ljbffr

A financial technology company in San Francisco is seeking a Staff Machine Learning Engineer to lead the development of sophisticated AI and ML systems. You will be responsible for designing robust frameworks, implementing new product features, and mentoring team members. The ideal candidate should have over 8 years of experience and expertise in Python and machine learning. The role offers competitive pay and various benefits, including health plans and unlimited PTO. #J-18808-Ljbffr

A leading AI solutions company is seeking a Solutions Engineer to join their Robotics team in San Francisco. This role involves partnering with innovative companies to deliver customized demos and pilots, influencing product strategy, and ensuring customer satisfaction with technology solutions. Ideal candidates have a strong engineering background, 3+ years in software development, and project management skills. The role offers competitive compensation, including salary, equity, and benefits. #J-18808-Ljbffr

A tech company in San Francisco is seeking an IAM Solutions Engineer to evaluate identity workflows and access-control policies. The role involves analyzing authentication flows and identifying security gaps across identity systems. Candidates should have strong experience with IAM platforms and must understand protocols like SAML and OAuth. This position offers a salary range of $40 - $80 an hour and provides an opportunity to make impactful improvements in identity systems. #J-18808-Ljbffr

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny. Be Klaviyo's senior IC for scale, you will report into a VP of Engineering and lead performance, reliability, multi‑region, and large‑tenant readiness. You'll drive platform‑wide architectural change, hunt bottlenecks and optimize systems, and partner across teams to productionize improvements. Given that this is an IC role with no direct reports; you will lead via technical depth, hands‑on impact, and crisp cross‑org alignment. What You'll Do Define enterprise scalability fitness functions (latency/throughput/error rates) and a scorecard; align teams to SLOs and budgets. Design/implement sharding and partitioning strategies, caching/back‑pressure, multi‑region readiness, and high‑volume migration paths. Build lightweight enablement: benchmarks, profiling harnesses, reproducible testbeds; pair with teams to land fixes. Lead scalability reviews and readiness gates that accelerate-not block-delivery; drive incident deep dives tied to systemic fixes. Communicate clearly to execs and engineers, tying technical work to business impact and customer outcomes. Integrate AI into scale and resiliency work-from proactive anomaly detection to synthetic load and guided runbooks-so performance improvements stick and incidents don't repeat. Who You Are Experience: 12+ years scaling multi‑tenant SaaS with a reputation for removing major bottlenecks and proving impact with data. Technical expertise: Performance engineering, capacity planning, sharding/partitioning, caching/back‑pressure, multi‑region readiness, and high‑volume migrations; you turn hotspots into robust patterns. AI tools & automation: You apply AI to scale work-profiling assistance, workload modeling, synthetic traffic generation, anomaly detection, and runbook copilots-always with explicit guardrails and observability. Cross‑org influence: You align teams through fitness functions, scorecards, and readiness gates that accelerate-not block-delivery; you communicate tradeoffs crisply to execs and engineers. AI fluency: Curious, adaptable, and proactive in exploring AI that responsibly improves scale outcomes. Nice to Haves Scale scorecard: Company‑wide fitness functions (latency/throughput/error rates) are adopted and reviewed regularly. High‑impact wins: 2-3 bottlenecks removed with documented, reproducible testbeds; pXX latencies and error rates improve on top enterprise workloads; repeat P0s trend down. AI‑assisted scale engineering: AI‑driven anomaly detection reduces alert noise while improving signal; generative load testing and copilot runbooks are used in release/readiness checks for the top critical services; time‑to‑isolate regressions drops 20-30%. Success in 6-12 Months Company‑wide scale scorecard in place; 2-3 high‑impact bottlenecks removed; top enterprise workloads show improved pXX latencies and error rates; fewer repeat P0s. We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Get to Know Klaviyo Base Pay Range For US Locations: $248,000 - $372,000 USD We're Klaviyo (pronounced-vee-oh). We empower creators to own their destiny by making first‑party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators-ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human‑in‑the‑loop). We provide accommodations as needed. Klaviyo is committed to a policy of equal opportunity and non‑discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non‑company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls. By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR). #J-18808-Ljbffr

A leading AI technology company is seeking a Machine Learning Research Engineer to develop critical ML systems for their GenAI platform. This high-impact role involves designing and deploying scalable ML solutions, utilizing advanced techniques and frameworks. Candidates should have 3+ years of experience, solid software engineering skills, and a passion for solving real-world problems. The position offers competitive compensation and benefits, with a salary range of $176,000 to $220,000 USD in San Francisco. #J-18808-Ljbffr