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April 24, 2026

Lead Applications Engineer (Semiconductor Machinery)

Senior • On-site

10,000 - 15,417 USD/yr

Los Angeles, CA

LEAD APPLICATIONS ENGINEER (SEMICONDUCTOR MACHINERY)

Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits.

Freeform is hiring a Lead Applications Engineer to serve as the primary technical interface between Freeform and a portfolio of our semiconductor customers. This person will apply their technical background and intimate understanding of semiconductor fabrication systems and equipment to translate real engineering problems into manufacturable solutions that only Freeform's technology can unlock. You will own the technical relationship with customers, guide them through application discovery and feasibility, and help shape how Freeform's manufacturing platform is deployed across some of the most ambitious programs in the industry.

The ideal candidate comes from a strong engineering background, understands complex semiconductor systems, and is comfortable engaging directly with senior engineers and decision makers at highly sophisticated and cutting-edge organizations. This person should be comfortable leading deep technical discussions across performance, manufacturability, materials, qualification, and production tradeoffs, and translating those conversations into a broader, programmatic vision that helps customers understand how Freeform's technology can unlock entirely new design and production possibilities.

Responsibilities:

  • Serve as the primary technical point of contact for a portfolio of strategic semiconductor equipment customers
  • Lead deep technical discussions with customer engineering teams across applications such as:
    • Wafer handling, robotic end-effectors, and vacuum-compatible armatures
    • Thermal management hardware and high-precision cold plates
    • Ultra-high vacuum (UHV) chambers and internal components
    • Gas delivery manifolds and high-purity fluid systems
    • Lithography tool structural components and precision optics mounts
    • Pedestals and showerhead assemblies for deposition tools
  • Develop a deep understanding of customer system requirements, constraints, and performance drivers
  • Translate customer needs into manufacturable solutions using Freeform's technology, including geometry, materials, tolerances, and production considerations
  • Clearly articulate what Freeform's manufacturing platform can and cannot deliver, including tradeoffs and constraints
  • Independently answer advanced technical questions related to materials, processes, qualification pathways, and production scalability
  • Identify where Freeform's technology enables new designs, architectures, or performance regimes that were previously impractical or impossible
  • Work closely with internal engineering and operations teams to align on feasibility, execution, and roadmap - but without depending on them for basic technical credibility
  • Guide customers through early application exploration, development phases, and transition into production
  • Build long-term, trust-based technical relationships with customer engineers, program managers, and technical leadership
  • Provide feedback from the field to influence Freeform's product, process, and roadmap decisions

Basic Qualifications:

  • Bachelor's degree in engineering or similar technical discipline
  • 5+ years of experience in an engineering, program management, or leadership role within the semiconductor equipment/fabrication industry
  • Strong systems-level understanding of complex mechanical hardware and how components function within larger assemblies

Nice to Have:

  • Prior experience in a customer-facing technical role such as applications engineering, systems engineering, or field engineering
  • Ability to clearly communicate complex technical concepts to both engineering and non-engineering stakeholders
  • Familiarity with metal manufacturing processes, including additive manufacturing, casting, forging, or advanced machining
  • Experience supporting hardware through development, qualification, and production ramp
  • Strong intuition for design-for-manufacturing and production scalability
  • Strategic thinker with a strong business acumen
  • Team player, positive attitude, growth mindset, integrity, accountability, adaptability, entrepreneurial, driven, results-oriented and ethical

Location:

  • Based in Hawthorne, our vertically integrated facility brings technology development, R&D, and production together under one roof. We operate at the center of LA's deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country.

  • Our fast-paced, cross-functional environment is built on close collaboration, and as such, this role requires full-time onsite presence (five days a week), with very limited exceptions.

What We Offer:

  • We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions.
  • We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology.
  • Benefits
    • Significant stock option packages
    • 100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options)
    • Life insurance
    • Traditional and Roth 401(k)
    • Relocation assistance provided
    • Paid vacation, sick leave, and company holidays
    • Generous Paid Parental Leave and extended transition back to work for the birthing parent
    • Free daily catered lunch and dinner, and fully stocked kitchenette
    • Casual dress, flexible work hours, and regular catered team building events
  • Compensation
    • As a growing company, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company's current stage of development and allows the employee to grow and develop within a role.
    • In addition to the significant stock option package, the estimated salary range for this role is $120,000-$185,000. The upper end of the range is reserved for individuals who demonstrate exceptional experience, deep domain mastery, and a proven history of high performance and impact.
  • Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

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Must have Strong software engineering fundamentals—you can dive into complex backend code and understand it quickly Deep hands-on experience with AI coding agents (Claude Code, Cursor, Copilot, Devin, or similar) Experience writing effective agent documentation, custom instructions, or context files that meaningfully improved agent output Track record of building developer tools or infrastructure that other engineers actually use Comfortable working across the stack: you'll touch CI/CD, cloud infrastructure, internal tooling, and application code Nice to have Experience building or contributing to MCP servers or similar agent-tooling integrations Background in developer productivity, platform engineering, or developer experience roles Experience with our stack: TypeScript/JavaScript monorepos, Go, GraphQL You've set up sandboxed or containerized development environments at scale Interview Process Our goal with the interview process is to balance speed with giving both parties opportunities to assess whether there is a strong mutual fit. We will ask you questions, but we want you to ask us questions! Our technical interviews focus on how you design systems because we believe this is the best way for us to see how you work and for you to see how we collaborate. We don't ask you to write code to solve technical brainteasers that don't appear in your day to day job. Apply: Curl jobapi.hightouchdata.com on port 13784 and have followed those instructions before applying. It'll only take a minute! Recruiter Screen [30m]: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit System Design Screen [45m]: Designing a data processing feature end-to-end AI Skills Interview [60m]: We'll dive into how you leverage AI and how you've helped others do the same Hiring Manager Interview [45m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles System Design Interview [90m]: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical E-Verify Statement Hightouch participates in E-Verify. After you join the team, we'll verify your eligibility to work in the U.S. by submitting information from your Form I-9 to the Social Security Administration and, if needed, the Department of Homeland Security. This process happens post-hire only — we never use E-Verify to pre-screen applicants. E-Verify Notice E-Verify Notice (Spanish) Right to Work Notice Right to Work Notice (Spanish)

Technology

Talentica

Full Stack Engineer, AI systems

Senior

Remote

Warsaw, MZ, Poland

🏢 Summary: Full Stack Engineer role focused on building an AI-native assistant that delivers reliable, persistent, goal-oriented workflows. The position covers frontend, backend and AI integrations, including agent planning, tool use, LLM reliability and real-time interactions in a remote-first global team. 🗂️ Requirements: Professional full-stack engineering experience across frontend and backend systems, System design, distributed applications and API architecture knowledge, Experience with LLMs, RAG systems or AI-powered applications, Ability to own features from concept through production deployment, Pragmatic decision-making in ambiguous, fast-moving environments, Cross-functional collaboration with engineering, Machine Learning and product teams 📃 Skills: Next.js, Python, Node.js, PyTorch, OpenAI, Anthropic, LLMs, RAG, SQL, NoSQL, Kubernetes, Docker, APIs 🏢 Description: About the product Our client is developing an AI-native assistant designed to support everyday communication, organization, errands and complex workflows with minimal user input. The product must reliably manage long-running processes, retain context, interact with external tools and complete real-world tasks despite the non-deterministic nature of modern AI models. The company’s objective is to make everyday activities significantly faster and easier for users. About the role We are looking for a Full Stack Engineer specializing in AI systems to build the product layer that transforms advanced AI capabilities into useful, production-grade workflows. You will help design how AI agents plan and operate, interact with external tools, manage failures, recover from errors and deliver consistent value to users. This is an end-to-end engineering role covering frontend development, backend systems and AI integrations. What you will do Build end-to-end product functionality across frontend, backend and AI integrations. Design agent workflows covering planning, tool use, multi-step execution, failure handling and recovery. Integrate LLMs, memory systems and external tools into applications that operate reliably under real-world conditions. Design real-time AI interactions involving streaming, partial results and strict latency requirements. Improve system reliability, observability and fallback mechanisms. Collaborate closely with Machine Learning, backend and product teams to deliver functionality from concept to production. Continuously improve the product based on real-world usage, evaluation results and observed failure modes. What we are looking for Strong professional experience in full stack engineering across frontend and backend systems. Solid understanding of system design, distributed applications and API architecture. Experience working with LLMs, RAG systems or other AI-powered applications. Ability to operate effectively in ambiguous situations and make pragmatic engineering decisions. Strong ownership and the ability to take functionality from an initial idea through implementation and production deployment. Confidence working in a fast-moving environment with evolving product requirements. Ability to collaborate effectively across engineering, Machine Learning and product teams. What success looks like AI-native product features progress beyond basic chat interfaces into persistent, goal-oriented workflows. Agent workflows reliably complete multi-step tasks across external tools and multiple user sessions. AI interactions remain responsive and achieve low latency without compromising output quality. Production systems include robust fallback and recovery mechanisms for LLM and external-tool failures. The reliability and completion rate of AI workflows improve through continuous evaluation, monitoring and iteration. Reusable patterns and abstractions support scalable integration of LLMs, memory and external tools. The resulting product experience feels proactive, consistent and dependable to users. Technology stack Next.js Python Node.js PyTorch OpenAI, Anthropic and open-source LLMs SQL and NoSQL databases Kubernetes Docker Compensation and employment The position is offered under an employment contract. The company does not publish a fixed external salary range. Compensation is assessed individually based on: professional experience and technical capability, scope of responsibility, location and relevant market benchmarks, expected impact on the product and organization. Candidates may share their expected compensation at the beginning of the recruitment process. The compensation package consists of a base salary and equity, with flexibility for exceptional candidates. A company laptop will be provided where required for the role. Remote work and global collaboration The company operates as a remote-first, globally distributed organization. There is no fixed company-wide working schedule and no requirement to follow one specific time zone. Team members are expected to maintain sufficient working-hours overlap with their immediate colleagues to collaborate effectively. The successful candidate will work from Poland and collaborate with frontend, backend, Machine Learning and product specialists located across different regions. Poland-based employees join existing global teams rather than a separate local team. The exact reporting line and hiring manager will be confirmed during the recruitment process. How the team works The company believes that outstanding products are built by small, highly capable and hands-on teams. Decisions are made collaboratively, while individuals are expected to take ownership, bring structure to ambiguous problems and execute independently. The team moves quickly while balancing production quality, experimentation and continuous learning from real user behavior. There is no fixed hiring quota for this position. The company is focused on identifying engineers who meet its technical and ownership standards rather than filling a predetermined number of seats. Recruitment process The standard recruitment process consists of up to four stages: Technical assessment, where relevant to the candidate’s background. HR interview. One or more technical interviews. Founder or leadership interview. Particularly strong candidates may be fast-tracked directly to the technical interview stage based on their experience and previous work. Applications are evaluated by members of the technical team. Interviews may be conducted virtually and, where relevant, onsite. The exact format and interviewers may vary. The company aims to make decisions efficiently and provide candidates with a prompt outcome.

Technology

Talentica

Full Stack Engineer, AI systems

Senior

Remote

Warsaw, MZ, Poland

🏢 Summary: Full Stack Engineer role focused on building an AI-native assistant that delivers reliable, persistent, goal-oriented workflows. The position covers frontend, backend and AI integrations, including agent planning, external-tool use, LLM reliability and real-time interactions in a remote-first global team. 🗂️ Requirements: Professional full-stack engineering experience, Frontend and backend systems experience, System design expertise, Distributed applications knowledge, API architecture knowledge, LLM, RAG or AI-powered application experience, Production deployment ownership, Cross-functional collaboration with Engineering, Machine Learning and Product teams 📃 Skills: Next.js, Python, Node.js, PyTorch, OpenAI, Anthropic, LLMs, RAG, SQL, NoSQL, Kubernetes, Docker, APIs 🏢 Description: About the product Our client is developing an AI-native assistant designed to support everyday communication, organization, errands and complex workflows with minimal user input. The product must reliably manage long-running processes, retain context, interact with external tools and complete real-world tasks despite the non-deterministic nature of modern AI models. The company’s objective is to make everyday activities significantly faster and easier for users. About the role We are looking for a Full Stack Engineer specializing in AI systems to build the product layer that transforms advanced AI capabilities into useful, production-grade workflows. You will help design how AI agents plan and operate, interact with external tools, manage failures, recover from errors and deliver consistent value to users. This is an end-to-end engineering role covering frontend development, backend systems and AI integrations. What you will do Build end-to-end product functionality across frontend, backend and AI integrations. Design agent workflows covering planning, tool use, multi-step execution, failure handling and recovery. Integrate LLMs, memory systems and external tools into applications that operate reliably under real-world conditions. Design real-time AI interactions involving streaming, partial results and strict latency requirements. Improve system reliability, observability and fallback mechanisms. Collaborate closely with Machine Learning, backend and product teams to deliver functionality from concept to production. Continuously improve the product based on real-world usage, evaluation results and observed failure modes. What we are looking for Strong professional experience in full stack engineering across frontend and backend systems. Solid understanding of system design, distributed applications and API architecture. Experience working with LLMs, RAG systems or other AI-powered applications. Ability to operate effectively in ambiguous situations and make pragmatic engineering decisions. Strong ownership and the ability to take functionality from an initial idea through implementation and production deployment. Confidence working in a fast-moving environment with evolving product requirements. Ability to collaborate effectively across engineering, Machine Learning and product teams. What success looks like AI-native product features progress beyond basic chat interfaces into persistent, goal-oriented workflows. Agent workflows reliably complete multi-step tasks across external tools and multiple user sessions. AI interactions remain responsive and achieve low latency without compromising output quality. Production systems include robust fallback and recovery mechanisms for LLM and external-tool failures. The reliability and completion rate of AI workflows improve through continuous evaluation, monitoring and iteration. Reusable patterns and abstractions support scalable integration of LLMs, memory and external tools. The resulting product experience feels proactive, consistent and dependable to users. Technology stack Next.js Python Node.js PyTorch OpenAI, Anthropic and open-source LLMs SQL and NoSQL databases Kubernetes Docker Compensation and employment The position is offered under an employment contract. The company does not publish a fixed external salary range. Compensation is assessed individually based on: professional experience and technical capability, scope of responsibility, location and relevant market benchmarks, expected impact on the product and organization. Candidates may share their expected compensation at the beginning of the recruitment process. The compensation package consists of a base salary and equity, with flexibility for exceptional candidates. A company laptop will be provided where required for the role. Remote work and global collaboration The company operates as a remote-first, globally distributed organization. There is no fixed company-wide working schedule and no requirement to follow one specific time zone. Team members are expected to maintain sufficient working-hours overlap with their immediate colleagues to collaborate effectively. The successful candidate will work from Poland and collaborate with frontend, backend, Machine Learning and product specialists located across different regions. Poland-based employees join existing global teams rather than a separate local team. The exact reporting line and hiring manager will be confirmed during the recruitment process. How the team works The company believes that outstanding products are built by small, highly capable and hands-on teams. Decisions are made collaboratively, while individuals are expected to take ownership, bring structure to ambiguous problems and execute independently. The team moves quickly while balancing production quality, experimentation and continuous learning from real user behavior. There is no fixed hiring quota for this position. The company is focused on identifying engineers who meet its technical and ownership standards rather than filling a predetermined number of seats. Recruitment process The standard recruitment process consists of up to four stages: Technical assessment, where relevant to the candidate’s background. HR interview. One or more technical interviews. Founder or leadership interview. Particularly strong candidates may be fast-tracked directly to the technical interview stage based on their experience and previous work. Applications are evaluated by members of the technical team. Interviews may be conducted virtually and, where relevant, onsite. The exact format and interviewers may vary. The company aims to make decisions efficiently and provide candidates with a prompt outcome.

Technology

State Street

Application Development Manager, State Street Investment Management, Vice President,

Senior

Hybrid

Krakow, Poland

🏢 Summary: Hands-on Application Development Lead role delivering scalable platforms for Global Funds Management. The position combines solution architecture, end-to-end engineering delivery, DevOps and cloud modernization, and technical leadership of a distributed team. 🗂️ Requirements: Distributed enterprise application development experience, Java or Python expertise, Microservices, APIs, and cloud-native architecture knowledge, Cloud environment experience, Full software delivery lifecycle experience, Complex cross-functional delivery ownership, Technical stakeholder influence, Krakow location, Hybrid office attendance: minimum 3 days weekly 📃 Skills: Java, Python, Microservices, APIs, AWS, Cloud, DevOps, CICD, Automation 🏢 Description: At State Street Investment Management (SSIM), we are building the next generation of platforms that power one of the world’s largest asset managers. We are looking for an Application Development Lead to play a pivotal role in shaping and delivering the technology that underpins our Global Funds Management business — a core engine of our investment ecosystem. This is not a traditional “lead role.” It is a hands-on, high-impact leadership position where you will architect solutions, influence engineering direction, and directly contribute to building modern, scalable platforms at enterprise scale. This role is ideal for a senior engineer ready to expand their impact — someone who wants to shape systems, influence direction, and operate as a trusted technical leader within a globally significant platform, and is ready to: Own meaningful engineering outcomes : work on business-critical platforms that directly support global investment operations Shape architecture and direction : influence how systems are designed, built, and evolved Operate at senior level : partner closely with experienced engineers, architects, and business leaders across regions Blend leadership with hands-on delivery : lead by doing, not just directing Be part of modernization : drive DevOps, cloud adoption, and emerging capabilities such as AI-enabled engineering Eligible employees may benefit from the Copyrights Tax Deduction Program , which allows qualifying creative work, such as software development, to be treated under preferential tax-deductible cost rules in line with Polish tax regulations and internal company policy. Your new role You will sit at the heart of engineering delivery, combining technical depth with leadership influence: Design and build robust, scalable applications supporting Global Funds Management Act as a technical anchor within a highly capable engineering team Drive end-to-end solution delivery — from architecture through to production Lead the adoption of modern engineering practices (CI/CD, automation, DevOps) Partner with global stakeholders across Technology and the business to solve complex problems Champion engineering excellence, quality, and continuous improvement Mentor and elevate engineers, creating a high-performance, learning-oriented team What we value We are interested in strong engineers who want to step into broader technical leadership and operate at scale. You’ll likely bring: Deep experience building distributed, enterprise-grade applications (Java and/or Python environments) Strong understanding of modern architecture principles (microservices, APIs, cloud-native design) Experience working in cloud-based environments (AWS preferred) Confidence working across the full lifecycle — design, build, deploy, and operate A track record of owning delivery in complex, cross-functional environments The ability to influence stakeholders and lead through expertise, not hierarchy Prior exposure to financial services is helpful, but not essential — curiosity and learning agility matter more. You’ll join a globally distributed, high-caliber engineering team that values: Pragmatic, high-quality engineering Clear ownership and accountability Continuous learning and innovation Collaboration across regions and disciplines Additional requirements Krakow-based role; Hybrid model (min. 3 days per week in the office) Minimum Salary: ​ zł282 000 Coroczny The minimum salary quoted above applies to the role in the primary location specified. If the candidate ultimately works outside of this primary location, the applicable minimum salary may differ.​ Salary will be determined based on factors such as the position, type of work performed, individual skills, job description, working hours, diligence, initiative, self-management, length of employment, availability, and the quantity and quality of work delivered, as well as other objective and non-discriminatory criteria relevant to State Street employees.​ In addition to salary, employees are eligible to be considered for discretionary annual performance-based awards.​ ​ We Offer: ​ Permanent contract from day one​ Additional holidays (Birthday Day Off, 3rd and 5th year anniversary Day Off)​ Gold Medical Package for employees and their families (partner and children)​ Premium life insurance package and private pension plan​ Wide range of soft skills training, technical workshops, language classes and development programs​ Opportunities to volunteer your time to company-driven initiatives, employee networks or organizations of your choice​ Variety of well-being programs​ Additional benefits available depending on the seniority of the role About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at StateStreet.com/careers Read our CEO Statement State Street's Speak Up Line Załącznik do standardu Whistleblowing i Speak Up SSBI GmbH dla Oddziału w Polsce