Research and development engineer jobs in Milpitas, CA

Role: Kotlin Developer / Kotlin Engineer Duration: Long Term Immediate Interviews - Need Strong Tech + Strong Communication! We are looking for a high-impact Java/Kotlin engineer who can hit the ground running and deliver in a fast-paced environment. The client is moving QUICK, and we need someone with deep technical expertise + very clear, concise communication. Tech Skills Needed: ✔ Java (8+) / Spring Boot ✔ Kotlin ✔ AWS (Lambda, EC2, ECS, S3, RDS) ✔ Microservices, REST APIs ✔ Docker, Kubernetes, CI/CD ✔ System Design, Problem Solving ✔ Excellent communication

The Opportunity: The Palate of a Chef, the Mind of a Scientist TCHO is looking for a rare professional to serve as the tactical engine of our research and production. This individual will fill a high-impact role that bridges the gap between creative sensory exploration and technical production. This is a hands-on role at our factory, responsible for tending the entire lifecycle of our chocolate. This begins with the cacao beans being grown around the world by our farmer partners, to the final production of high-end chocolate and confections at our production facility in Berkeley. We are seeking a maker who can manage complex data and production schedules while maintaining a disciplined focus on creativity and flavor. This position is 100% onsite due to the hands-on nature of the role, including production, sensory evaluation, laboratory work, and small-batch confectionery manufacturing. 1. Sensory Mastery & Tasting Daily Analysis: Lead disciplined daily sensory panels of raw cacao liquors, experimental batches, finished chocolate, and confections to ensure every product meets TCHO standards. Raw Material Selection: Participate in the selection and sensory analysis of all raw materials, including cocoa beans, liquor, powder, butter, and inclusions such as nuts or vanilla. Final Sign-off: Provide sensory sign-off for final products coming off the line to ensure manufacturing quality and consistency. 2. The “Source” & Laboratory Management Bean Sample Management: Manage the intake of cacao samples from global partners, including roasting, winnowing, and grinding micro-batches to evaluate fermentation quality and genetic potential. Flavor Lab Oversight: Manage daily operations of the flagship TCHO Flavor Lab space (one of only 12 worldwide). Operational Upkeep: Oversee lab organization, cleaning, sample retention, and restocking of laboratory supplies and equipment. 3. Production, Formulation & Retail Confectionery Formula Creation: Develop and manage proprietary daily production formulas used by the manufacturing team. Retail Confectionery Production: Act as a Confectioner for TCHO Retail, responsible for creating small-batch and small-lot confections for retail customers, including hand-crafted and limited-run items. Efficiency & Scalability: Support factory operations by optimizing run times, flush materials, FIFO practices, and small-batch scalability. SOP Compliance: Ensure all product SOPs are followed, including requirements related to cross-contamination, Organic, Kosher, and Fair Trade certifications. 4. New Product Development (NPD) Dream-to-Reality: Translate creative product concepts into consistent, repeatable production. Prototyping: Execute hands-on prototyping and produce sales and retail samples, including chocolate formulas, plant-based ganache, enrobed items, panned goods, and other confections. Scaling: Move products from lab-scale concepts to small industrial and retail-ready production. Who You Are Palate-Driven: You possess an advanced ability to articulate flavor and a deep interest learning how the magic of chocolate comes to life. Analytical: You love a good system and can track R&D data and formulas with precision to keep projects on a professional timeline. Technically Grounded: You likely have a background in Food Science, Pastry, or Confectionery and know your way around the bakery and confectionery world. Onsite & Flexible: This is not a desk job. You are based at our Berkeley HQ and willing to work weekends to keep the lab and production cycles moving. Skills & Abilities Bachelors' degree or equivalent Minimum 3 years working in pastry, confectionary or chocolate industry, Demonstrated leadership experience of teaching and developing teams within food industry. Excellent writing, reading and communication skills Spanish fluency is a major plus. Ability to transport and move 50-pound handloads Must be able to remain in a stationary position for entire shift Must be able to work above ground levels-10 feet and in cold and warm temperature work environment

JD for Mechanical Engineering, NPI.: Develop 3D Models, Assemblies & detail drawings using CAD tools Manage component Design, development and qualification activities with multiple suppliers, ensuring alignment on quality cost & Delivery timeline. Define technical interface requirement & Specification in collaboration with the Design team. Conduct on-site visits to supplier facilities to oversee manufacturing process validation & production readiness. Drive supplier accountability resolving DFM Issues & Coordinate with the supplier & testing team to keep validation activities on the schedule. Lead Mechanical Design & Build activities during the Concept, Proto, validation & Production build. Develop work instructions and document new products/tests, product design improvements, and process improvements. Generate and release part/assembly drawings and Bill of Materials into Agile PLM system. Strong Hands-on performing tolerance Stack-up, GD&T & Create EBOM, Prepare Engineering Documentation (DFM/DFA, DFMEA, PFMEA) Ability to independently manage projects. Required Qualification: Master's degree in Mechanical Engineering or related Field, 6+ years of experience in Mechanical / Manufacturing engineering preferably 3+ years in High Voltage Electromechanical Design & Engineering. Strong Proficiency in CAD tools Solid works (4+ years). Experience with GD&T Tolerance Stack-up analysis, Engineering Documentation & Supplier Coordination.

A fast-growing, deeply technical AI company is looking for a Research Engineer to join a small, high-performing team building the next generation of agentic LLM systems for software development. This is an opportunity to work at the frontier of AI, helping design and evaluate models that can understand, write, and reason about complex codebases. We are looking for someone who is passionate about AI for code, obsessed with understanding how LLMs behave, and excited to help push the boundaries of autonomous software engineering. What You'll Work On Design and run large-scale LLM evaluations, benchmarks, and experiments - particularly for code understanding and generation tasks. Build tools, datasets, and research frameworks that measure LLM reasoning, reliability, grounding, and hallucination reduction. Collaborate closely with product and engineering teams to improve model performance across real-world developer workflows. Work with frontier LLMs (across multiple providers) to analyze behavior, provide structured feedback, and drive improvements in accuracy, reliability, and autonomy. Prototype new capabilities for long-horizon agentic systems, including retrieval, planning, debugging, and automated coding workflows. Contribute to model fine-tuning and alignment work, including SFT, LoRA, DPO, or RLHF pipelines. Build production-quality research tools and evaluation pipelines that scale to real engineering environments. What We're Looking For 3+ years of experience in AI/ML engineering, research engineering, or similar fields. Strong coding fundamentals and comfort working in production environments (Python preferred). Hands-on experience with LLMs (training, fine-tuning, benchmarking, or evaluation). Experience with transformer architectures, retrieval-augmented generation (RAG), or reasoning-heavy LLM workflows. Deep interest in code generation, AI developer tools, or program synthesis (professional or personal projects). Ability to think rigorously about model behavior, failure cases, and reliability. Comfortable working in a fast-paced, highly collaborative environment with end-to-end ownership. Bonus Points Experience with AI systems for code: program synthesis, automated debugging, static analysis, code search, etc. Prior work with agentic or multi-step reasoning systems. Contributions to evaluation frameworks, benchmarks, or open-source model tooling. Background in compilers, programming languages, distributed systems, or developer tooling. Research experience at top universities, labs, or advanced ML teams. Why This Role Is Exciting Work directly with cutting-edge LLMs and agentic tooling. Influence the direction of an emerging AI product with real-world impact. Solve some of the hardest problems in AI today: evaluation, grounding, reasoning, and autonomous coding. Join an elite team with deep experience in LLMs, distributed systems, and developer productivity tools. Massive opportunity for ownership, impact, and career growth. If you're passionate about AI for software engineering, love solving deep technical problems, and want to work at the frontier of LLM research, we'd love to hear from you.

VC-backed Series B startup on a high-growth trajectory. Revolutionizing commerce through direct engagement with powerful conversation AI. Join a world-class team with opportunity for rapid career advancement. What you will do Utilize cutting-edge research to enhance powerful AI sales assistant. Propose and test innovative experiment ideas. Lead efforts in dataset collection and generation. Optimize models and inference processes. Collaborate with ML and Data engineers on distributed training scripts. What you will need to succeed At least 3 years of experience with production AI systems. At least one first-author publication/strong track record of open-source contributions Deep understanding of LLMs and transformer blocks. Strong grasp of ML fundamentals. Experience with distributed training. Some exposure to production inference. Emphasis on product-focused research that directly adds value to customers Proficiency with PyTorch. Experience building agentic systems with task-specific models. Experience iterating AI products based on customer feedback.

80Twenty is a boutique marketing recruitment agency that connects high-growth companies with exceptional candidates. Want to build technology that truly moves the needle in healthcare? Join a fast-scaling, profitable healthcare services company - independently grown and not VC-backed - on a mission to make healthcare simpler, smarter, and more human! Our client is a healthcare tech and services company based in San Francisco, combining clinical expertise, operational excellence, and modern engineering to reshape how people experience care. From personalized medication management and transparent pharmacy pricing to community-based chronic care support, we're building a system that empowers both patients and providers. This is a fully onsite role based in San Francisco, CA. Candidates must be located within 30 miles of San Francisco. The standard schedule is Monday-Friday, 9am-7pm and may vary depending on business needs and role responsibilities. In this role, you will: Design, build, and scale backend services that power pharmacy, telehealth, and patient-facing workflows. Collaborate cross-functionally with product, operations, and pharmacy teams to deliver seamless integrations and reliable systems. Lead architectural design discussions and set long-term technical direction for the backend stack. Implement best practices for system reliability, observability, security, and scalability. Drive operational excellence through CI/CD pipelines, cloud infrastructure (AWS), and container orchestration (Kubernetes). Mentor fellow engineers and help shape our backend engineering culture. Optimize system performance and streamline complex data flows across distributed services. Influence and define standards for how we build, test, and deploy software across the company. Who You Are 7+ years of backend engineering experience, ideally in fast-moving production environments. Strong experience with Node.js (TypeScript / JavaScript) and modern backend frameworks. Deep familiarity with AWS, Kubernetes, CI/CD, and distributed system design. Adept at owning code from design through deployment - you care about maintainability, reliability, and long-term scalability. Excellent communicator who enjoys collaborating across disciplines. Motivated by solving complex real-world problems in healthcare and improving patient outcomes. Bonus points for experience in healthcare, pharmacy systems, inventory/fulfillment flows, or regulated environments. Why This Role Stands Out You'll own high-impact systems that directly affect patient and provider experiences. You'll shape backend architecture and engineering best practices in a growing company. You'll join a profitable, non-VC-backed organization focused on long-term sustainability. You'll work in-person with an ambitious, mission-driven team in downtown San Francisco. Competitive compensation, equity opportunities, and strong benefits designed to help you thrive. This is a great opportunity to be a key member of the engineering team, taking technical ownership of our pharmacy platform's core backend systems. Your work will directly power real-time healthcare operations and improve access to care. If you're excited to apply your engineering expertise to meaningful healthcare infrastructure - and want to join a company that values autonomy, sustainability, and impact - we want to hear from you! Base salary: $250k-300k DOE + generous equity and benefits

Job Title: Sustaining Engineer Duration: 12 Months As a Sustaining Engineer, you will own post ramp qualifications, second source qualifications, and quality improvements for devices. You will partner with other electrical engineers during development, take over products as they reach maturity, and support them through end-of-life. You must be a great hands-on engineer and generalist that can wear many hats across EE, RF, Displays, Power, Audio, etc., and have strong interpersonal skills and experience working with cross-functional teams. The ideal candidate will have expertise in electrical and hardware design and have shipped consumer devices. RESPONSIBILITIES Take ownership of hardware projects from production ramp through end-of-life. Develop and qualify hardware changes, including new components and design/process changes. Participate in engineering reviews, such as schematic, layout, and DFM, with both cross-functional teams and external engineering partners. Develop system test plans, including test methodology and coverage, to validate changes and ensure product reliability. Create documentation such as Engineering Change Orders and general process documentation. Monitor data and test reports from design validation, production builds, and field returns to identify potential issues. Participate in Failure Analysis. QUALIFICATIONS BS in Electrical or Computer Systems Engineering, or equivalent experience. Direct experience in electrical hardware engineering and/or sustaining engineering. Knowledge of the technical rigor and processes required to bring a product to market at scale. Strong interpersonal and communication skills, and the ability to work with cross-functional engineering teams. Experience working with external partners, such as vendors and manufacturers. Experience reading and creating technical documentation such as datasheets, technical drawings, block diagrams, etc. Experience with common lab and test equipment such as oscilloscopes, spectrum analyzers, multimeters, etc. Experience utilizing schematic and layout tools such as Cadence PREFERRED Skills: MS in Electrical or Computer Systems Engineering. Experience within the Consumer Electronics industry. Experience with offshore manufacturing partners. Experience with electrical subsystems, such as Power/Battery, Display/Camera, Wireless/RF, Audio, etc.

🚀 Hiring: Software Engineer / Founding Engineer / Product Engineer 📍 San Francisco (Hybrid / In-Office) 💰 $300,000-500,000 base plus Bonus & Equity We're working with a VC-backed startup building a product at the intersection of engineering, product, and real-world impact. This is a rare opportunity to join early, influence architecture, and help shape what the company becomes. You'll work across front-end, back-end, or full-stack, depending on your strengths and interests. Titles are flexible, as this could be a Founding Engineer, Product Engineer, or Senior Software Engineer role. You'll be trusted to: Build and ship core product features end-to-end Influence technical direction and system design Work closely with founders, product, and design Help define engineering standards as the company scales Tech Stack React + TypeScript (frontend) Python or Node.js (backend) Modern cloud-native tooling What We're Looking For Experience at startup or VC-backed companies (Seed-Series B ideal) Strong fundamentals in React, TypeScript, Python and/or Node Comfort owning problems, not just tickets Product-minded engineers who care about why , not just how Why This Role Early-stage impact: your work directly shapes the product High ownership, high trust environment Strong funding, clear roadmap, ambitious founders Surrounded by sharp, driven people who move fast

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! 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.

Do you want to play a defining role in a well backed AI company building the next generation of intelligent agents? Compensation: $220k - $240k Employment Type: Full time Model: Hybrid (days on site, 3 days remote) This company is building AI agents that automate complex, manual workflows across one of the largest and most operationally complex industries in the world. What started with voice, the hardest and highest impact interface, is rapidly expanding into full end-to-end workflow automation across sales, servicing, and claims. The long term vision is to create reasoning agents capable of operating autonomously across entire enterprise systems. With over $70M raised, including a recent large Series B led by top tier venture firms, the company is entering a phase of rapid scale. Engineering is the core of the business, and technical decisions made today will define how intelligent systems operate in real production environments for years to come. The Opportunity: As a Staff Software Engineer, you will be a senior technical leader responsible for shaping foundational systems that power AI-driven products at scale. This role goes far beyond feature delivery. You will own architectural direction, influence platform strategy, and build systems that enable reliable, observable, high-performance AI agents in a regulated, mission-critical environment. You will work with an elite group of engineers, researchers, and product leaders who value strong technical judgment, clear communication, and high ownership. This is a role for someone who thrives in ambiguity, enjoys solving hard infrastructure problems, and wants to see their work have immediate, real world impact. What You Will Do: Define and drive the technical vision for core platforms and domains, including architecture, infrastructure, tooling, and performance Design, build, and operate scalable backend systems that leverage foundational LLMs and asynchronous workflows Lead architectural decisions and trade-offs, balancing speed of iteration with long-term reliability and maintainability Partner closely with product, data science, and infrastructure teams to translate business strategy into durable technical roadmaps Serve as a technical mentor through design reviews, code reviews, and hands-on guidance, raising the bar for engineering excellence Own operational excellence across the stack, including debugging complex issues, participating in on-call, and leading post-mortems Define, measure, and improve reliability metrics such as SLAs, SLOs, and SLIs Identify technical debt and drive initiatives that improve system quality, performance, and developer velocity Introduce new technologies and processes that materially improve how teams build and ship software Represent the engineering organization externally when appropriate through technical talks, open source, or partner engagement What We're Looking For: 8+ years of experience building and operating high-quality production software, with strong depth in Python Demonstrated experience architecting asynchronous, distributed, high-throughput systems in production Strong expertise with Python frameworks such as FastAPI, Django, and asyncio or equivalent Proficiency with Node.js, React, TypeScript, and Express, with sound judgment on when to use each stack Deep knowledge of SQL and experience with distributed messaging and streaming systems such as Kafka, SQS, SNS, or RabbitMQ Solid cloud experience with AWS, GCP, or Azure, including infrastructure as code, CI/CD, and observability Ability to navigate ambiguity, make principled trade-offs, and lead without formal authority Experience working in remote, asynchronous, distributed teams with strong written and verbal communication skills Curiosity and enthusiasm for emerging technologies and their real-world applications Nice to Haves: Hands-on experience working with large language models and techniques to improve reliability, latency, and cost efficiency Experience in regulated or compliance-heavy industries such as insurance, finance, or healthcare Background in high-growth startup environments where systems and teams scaled rapidly Proven track record of mentoring senior and mid-level engineers Public technical contributions through open source, talks, or publications Why This Role: Strong funding, long runway, and clear momentum toward category leadership Ownership over foundational systems that define how autonomous AI agents operate in production High autonomy and trust with direct influence on long-term technical direction A collaborative, high caliber engineering culture that values rigor, learning, and impact The opportunity to help define a new category of applied AI systems used by real customers at scale If you are excited by the chance to shape the core architecture of an AI platform operating in the real world, this role offers both the scope and the ownership to make a lasting impact.

HCLTech is looking for a highly talented and self-motivated Manufacturing Engineer to join it in advancing the technological world through innovation and creativity. Job Title: Manufacturing Engineer Position Type: Fulltime Location: Milpitas, CA Responsibilities: Manufacturing Process & Documentation Manage general manufacturing processes including BOM management, assembly procedures, tools, and drawings. Maintain accurate documentation and ensure compliance with established standards. Production Support Provide day-to-day manufacturing production support. Drive process improvements, conduct root cause investigations, and perform failure analysis. Redline and update manufacturing instructions and test methods as needed. Change Management Execute change order processes with proper reasoning and justification. Manage change requests requiring impact assessments, coordinate meetings with cross-functional teams, and ensure timely closure. Validation & Qualification Prepare IQ/OQ/PQ protocols in line with standard procedures. Organize review meetings with the validation board and ensure report completion and closure. Conduct periodic reviews of validation plans to align with current state. Risk & Compliance Demonstrate proficiency in PFMEA and risk assessments at both process and product levels. Ensure adherence to IEC and EMC standards and medical regulatory requirements. Technical Expertise Interpret and create/edit electrical schematics and drawings. Collaborate with Quality teams regularly. Perform NCMR disposition per SOP guidelines. Troubleshoot component-level issues related to PCBA, electrical designs, test fixtures, tools, and equipment. Build electro-mechanical test fixtures/equipment/tools based on specifications. Perform preventive maintenance of equipment and fixtures periodically. Manage End-of-Life (EOL) and component obsolescence. Audit & Compliance Support audits, address observations, and implement corrective actions. Own NC and CAPA processes and deliver on time. Design & Development Work with CAD models and PCB layouts. Write technical reports for component evaluations and engineering studies. Systems & Tools Proficient in SAP and Agile systems. Cross-Functional Collaboration Communicate effectively with cross-functional teams, buyers, planners, suppliers, and calibration coordinators. Provide project updates to senior management and take ownership of deliverables. Work closely with technicians to collect data for continuous improvement. Pay and Benefits Pay Range Minimum: $71000 per year Pay Range Maximum: $108000 per year HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to ****************** for investigation. Compensation and Benefits A candidate's pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year. How You'll Grow At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

The CAD Engineer is responsible for designing and developing new motor assemblies, managing part design, and overseeing change management for existing motors. Essential Duties and Responsibilities · Design and develop motor products, including the creation of 3D CAD models, detailed drawings, and proof-of-concept evaluations. · Generate drawings and bills of materials (BOM) for Moons' motor projects; collaborate with cross-functional teams to define manufacturing processes, supply chain strategies, and inspection standards. · Coordinate with supplier factory teams; conduct comprehensive design reviews for parts and tooling quotations, support part and tool development, and contribute to first article inspections for part approval. · Assemble, test, and analyze First Unit to Test (FUTT) prototypes. · Participate in Design for Manufacturability and Effects Analysis (DFMEA) as required. · Conduct performance testing and establish product specifications. · Offer technical expertise to manufacturing operations, Lin Engineering's design engineers, and procurement personnel. · Manage Engineering Change Notices (ECNs). · Assess competitive products and compile reports to identify opportunities for improvement. · Assist in product field failure (RMA) analysis. · Complete and follow up on engineering requests/orders. · Perform additional responsibilities as assigned. General Requirements: · Consistently meets the performance factors outlined on the Performance Appraisal form and adheres to Company Core Values and operating principles. · Demonstrates commitment to Lean implementation by applying methodologies such as Process Mapping, Visual Management, Workplace Layout, Standard Work, and minimizing the 7 Wastes. · Maintains open communication with managers, colleagues, affiliates, vendors, and other business contacts. · Ensures safe use of equipment and materials by following prescribed safety procedures and implementing appropriate safeguards. · Upholds Lin Engineering's standards and promotes compliance among peers. · Exhibits organizational skills, independence, reliability, attention to detail, adaptability, and a dedication to excellence. · Adjusts workload and priorities effectively in response to evolving deadlines and requirements. · Possesses strong written and verbal communication abilities, including proficiency in grammar and business correspondence. · Demonstrates thorough knowledge of clerical and administrative practices and delivers high-quality customer service. · Maintains a neat and professional appearance. · Collaborates effectively with team members. Deliverables · Decrease ECN response time. · Reduce RMA occurrences due to ECN. · Minimize errors in drawings and technical details before ECN submission. Qualification Requirements: Candidates must be able to perform all essential duties satisfactorily. The requirements below represent the knowledge, skills, and abilities necessary for this position. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions. Education and/or Experience: · A Bachelor's degree in Mechanical Engineering from an accredited institution is required; 0-3 years of experience in product design and engineering change management preferred. · Experience as a design engineer for high-volume mechanical products utilizing die casting, injection molding, machining, and stamping techniques is desirable. Knowledge of motor design is advantageous. · Strong understanding of manufacturing processes related to part and assembly design. · Proficiency in GD&T and its application. · Experience with mechanical and electrical test equipment (e.g., calipers, machine tools, oscilloscopes, DMMs, dynamometers, torque transducers) is a plus. Computer Skills: · Proficient in Microsoft Office Suite, including Outlook, Word, Excel, PowerPoint, and MS Project. · Proficient in computer-aided design software such as SolidWorks, Autodesk, Pro/E, or comparable mechanical design programs. · Familiarity or experience with SAP is considered an asset.

Research Engineer - San Francisco, CA A company building frontier-scale AI models that automate software engineering and AI research, combining ultra-long context, domain-specific RL, and massive compute infrastructure are looking for a Research Engineer to join their team. What Will I Be Doing: Optimize inference throughput for novel model architectures Contribute to frameworks used for our research and production workloads Train trillion-parameter models on large GPU clusters Curate post-training datasets to improve targeted capabilities Build out internet-scale data pipelines and crawlers Design, prototype and optimize new model architectures Contribute to research across long-context, inference-time compute, RL, and more What we're looking for: Strong general software engineering skills Thorough knowledge of the deep learning literature Experience with pre- and post-training of LLMs Ability to come up with and evaluate research ideas Experience working with large distributed systems Ability to handle large ETL workloads What's In It for Me: Salary of $225K-$550K dependent on experience + significant equity Great benefits inc. 401(k) with 6% company match, comprehensive health, unlimited PTO Visa sponsorship and SF relocation stipend available Well-funded ($465M+) with backing from top investors Apply now for immediate consideration!

Top 3 must haves: Jira Atlassian Automotive experience with OEMs Integration work within Atlassian systems We are seeking a skilled and detail-oriented Atlassian Platform Engineer to join our team. The successful candidate will be responsible for managing, optimizing, and supporting our suite of Atlassian products, including Jira, Confluence, and other related tools. You will work closely with various departments to understand their needs, implement solutions, and ensure the effective utilization of Atlassian products to improve business processes and productivity. You Will: • Manage and administer Atlassian products (Jira, Confluence and related Add-ons etc.) ensuring optimal performance and reliability. • Create, Configure and customize Jira projects, workflows, permissions, and schemes to meet business requirements. • Create custom application integrations through code as needed to integrate Atlassian tools with other platforms as needed • Maintain and support Atlassian integrations with other tools and systems • Collaborate with stakeholders to gather and analyze requirements for new projects and enhancements. • Identify use cases for business and process automation and help automate processes to save time and effort and improve efficiency • Provide support to end-users and troubleshoot issues promptly. • Participate in projects related to the implementation and enhancement of Atlassian products. • Ensure projects are completed on time, within scope, and within budget. • Monitor project progress and report on key metrics to stakeholders. • Identify and recommend best practices and process improvements to maximize the use of Atlassian tools. • Stay up to date with the latest Atlassian features, updates, and industry trends. • Conduct regular system audits and implement changes to improve system performance and usability. You Bring: • Bachelor's degree in information technology, Computer Science, Business Administration, or related field. • 2-4 years' experience as an Atlassian Engineer • 1+ years' experience building integrations and automations for SaaS tools • Knowledge of REST APIs and authentication mechanisms, including OAuth is required • Good understanding of Atlassian products, including Jira, Confluence, and associated plugins. • Strong programming skills with experience in Groovy/Python, SQL is required • Excellent problem-solving skills and attention to detail. • Effective communication and interpersonal skills with the ability to work collaboratively with diverse teams. • Experience with cloud and on-prem Atlassian instances is a huge plus

A fast-growing, deeply technical AI company is looking for a Research Engineer to join a small, high-performing team building the next generation of agentic LLM systems for software development. This is an opportunity to work at the frontier of AI, helping design and evaluate models that can understand, write, and reason about complex codebases. We are looking for someone who is passionate about AI for code, obsessed with understanding how LLMs behave, and excited to help push the boundaries of autonomous software engineering. What You'll Work On Design and run large-scale LLM evaluations, benchmarks, and experiments - particularly for code understanding and generation tasks. Build tools, datasets, and research frameworks that measure LLM reasoning, reliability, grounding, and hallucination reduction. Collaborate closely with product and engineering teams to improve model performance across real-world developer workflows. Work with frontier LLMs (across multiple providers) to analyze behavior, provide structured feedback, and drive improvements in accuracy, reliability, and autonomy. Prototype new capabilities for long-horizon agentic systems, including retrieval, planning, debugging, and automated coding workflows. Contribute to model fine-tuning and alignment work, including SFT, LoRA, DPO, or RLHF pipelines. Build production-quality research tools and evaluation pipelines that scale to real engineering environments. What We're Looking For 3+ years of experience in AI/ML engineering, research engineering, or similar fields. Strong coding fundamentals and comfort working in production environments (Python preferred). Hands-on experience with LLMs (training, fine-tuning, benchmarking, or evaluation). Experience with transformer architectures, retrieval-augmented generation (RAG), or reasoning-heavy LLM workflows. Deep interest in code generation, AI developer tools, or program synthesis (professional or personal projects). Ability to think rigorously about model behavior, failure cases, and reliability. Comfortable working in a fast-paced, highly collaborative environment with end-to-end ownership. Bonus Points Experience with AI systems for code: program synthesis, automated debugging, static analysis, code search, etc. Prior work with agentic or multi-step reasoning systems. Contributions to evaluation frameworks, benchmarks, or open-source model tooling. Background in compilers, programming languages, distributed systems, or developer tooling. Research experience at top universities, labs, or advanced ML teams. Why This Role Is Exciting Work directly with cutting-edge LLMs and agentic tooling. Influence the direction of an emerging AI product with real-world impact. Solve some of the hardest problems in AI today: evaluation, grounding, reasoning, and autonomous coding. Join an elite team with deep experience in LLMs, distributed systems, and developer productivity tools. Massive opportunity for ownership, impact, and career growth. If you're passionate about AI for software engineering, love solving deep technical problems, and want to work at the frontier of LLM research, we'd love to hear from you.

VC-backed Series B startup on a high-growth trajectory. Revolutionizing commerce through direct engagement with powerful conversation AI. Join a world-class team with opportunity for rapid career advancement. What you will do Utilize cutting-edge research to enhance powerful AI sales assistant. Propose and test innovative experiment ideas. Lead efforts in dataset collection and generation. Optimize models and inference processes. Collaborate with ML and Data engineers on distributed training scripts. What you will need to succeed At least 3 years of experience with production AI systems. At least one first-author publication/strong track record of open-source contributions Deep understanding of LLMs and transformer blocks. Strong grasp of ML fundamentals. Experience with distributed training. Some exposure to production inference. Emphasis on product-focused research that directly adds value to customers Proficiency with PyTorch. Experience building agentic systems with task-specific models. Experience iterating AI products based on customer feedback.

🚀 Hiring: Software Engineer / Founding Engineer / Product Engineer 📍 San Francisco (Hybrid / In-Office) 💰 $300,000-500,000 base plus Bonus & Equity We're working with a VC-backed startup building a product at the intersection of engineering, product, and real-world impact. This is a rare opportunity to join early, influence architecture, and help shape what the company becomes. You'll work across front-end, back-end, or full-stack, depending on your strengths and interests. Titles are flexible, as this could be a Founding Engineer, Product Engineer, or Senior Software Engineer role. You'll be trusted to: Build and ship core product features end-to-end Influence technical direction and system design Work closely with founders, product, and design Help define engineering standards as the company scales Tech Stack React + TypeScript (frontend) Python or Node.js (backend) Modern cloud-native tooling What We're Looking For Experience at startup or VC-backed companies (Seed-Series B ideal) Strong fundamentals in React, TypeScript, Python and/or Node Comfort owning problems, not just tickets Product-minded engineers who care about why , not just how Why This Role Early-stage impact: your work directly shapes the product High ownership, high trust environment Strong funding, clear roadmap, ambitious founders Surrounded by sharp, driven people who move fast

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! 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.

VC-backed Series B startup on a high-growth trajectory. Revolutionizing commerce through direct engagement with powerful conversation AI. Join a world-class team with opportunity for rapid career advancement. What you will do Utilize cutting-edge research to enhance powerful AI sales assistant. Propose and test innovative experiment ideas. Lead efforts in dataset collection and generation. Optimize models and inference processes. Collaborate with ML and Data engineers on distributed training scripts. What you will need to succeed At least 3 years of experience with production AI systems. At least one first-author publication/strong track record of open-source contributions Deep understanding of LLMs and transformer blocks. Strong grasp of ML fundamentals. Experience with distributed training. Some exposure to production inference. Emphasis on product-focused research that directly adds value to customers Proficiency with PyTorch. Experience building agentic systems with task-specific models. Experience iterating AI products based on customer feedback.