Engineering Associate Jobs in South San Francisco, CA

Reporting to a Senior Engineer, the Technician will have responsibility for key aspects of ABS' product manufacturing and research & development processes. Engineering Technician responsibilities include performing research, building devices (production and prototypes) and inspecting products at the direction of senior engineer and management. Incumbent will perform moderate to complex technical engineering tasks related to the design development of medical device, creation of design development documentation, specifications, product testing and inspections with a good degree of independence. The incumbent will aid senior engineer by communicating effectively to troubleshoot technical issues and design models for new products and equipment. Qualifications Community college, undergraduate degree or equivalent education and 0-3 years of professional experience, including functional operational experience in the medical devices sector is preferred (ideally in the cardiology field). Familiarity with data modeling tools and software is preferred. Responsibilities Engineering technician will fulfill several job duties during their workday with an overall objective of assuring that product output: (i) meets or exceeds all quality system requirements; (ii) meets productivity standards; and (iii) is efficient with respect to the utilization of ABS' resources. Job responsibilities include: • Drive production by participating in all stages of the manufacturing process. • Work with engineer(s) and staff to ensure production is efficient and drive improvements, as necessary. • Assess the quality of products and identify any defects. • Collaborate with the quality assurance department to assist with testing and/or inspection of raw materials, components, and finished devices at the incoming, in-process, and final stages of production. • Create drawings and schematics using CAD software (e.g., SolidWorks). • Review drawings, and update as necessary, to ensure accurate specifications for components, subcomponents, raw-materials, and finished devices. • Troubleshoot problems that arise with tools/machinery and coordinate necessary repairs. • Conduct experiments and investigations under the guidance of senior engineer and management. • Ensure availability of required materials, tools, and machinery for production/manufacturing. • Ensure products meet safety and quality control requirements. Attributes • Innovative, Creative, Team Player who is detail-oriented. • Strong written and verbal communication skills. • Strong problem-solving skills. • Ability to collaborate and establish good working relationship with vendors and service providers. • Ability to work in a rapidly changing and evolving environment. Physical Demands Requires dexterity i.e., the ability to use fine motor functions to piece unique materials together to accurately assemble and manufacture devices. Requires some lifting and moving of up to 40 pounds. Required to frequently stand, walk, sit, for extended periods. May also require use of a computer for extended periods. Specific vision abilities required by this job include, close/distant vision and depth perception. Position also requires use of Personal Protective Equipment.

About the Company Zap Surgical Systems is a surgical robotics start-up located in San Carlos, CA. Leveraging its unique gyroscopic motion and self-shielded design, our product, the Zap-X, is disrupting the industry and opening new frontiers in modern radiosurgery. Zap's employees thrive in an environment where multiple fields of study come together to solve challenging and important problems. You will be joining a diverse, cross-functional team that is bringing to market the most advanced stereotactic radiotherapy technology. Purpose of Position We are looking for a Mechanical Engineering intern to join our small dynamic team of accomplished engineers for the summer. In this internship you will have the opportunity to design, build and test mechanical systems under the guidance of a mentor. You will be expected to give design reviews along with an end-of-internship presentation. At Zap we have a mixture of both incremental and innovative design work ahead of ourselves. The successful candidate will be able to analysis, design mechanical systems and generate parts drawings using SolidWorks. This individual will be managed by one of our mechanical engineers and be a part of the Hardware Engineering team. We are expecting the intern to work a normal workweek to maximize their development and impact for the team. With this dynamic environment comes the need for a highly energetic engineer who is ready to dive into design and testing to propel our product development forward. We are looking for someone who is self-motivated, a quick learner and a solid communicator. We do a lot of fun and challenging work every day, but we also work hard to maintain an easy-going environment with a strong sense of community. Major Duties and Responsibilities Design mechanical systems related to or part of the ZAP-X delivery system. Give design review presentations to justify approach and solution. Create parts drawings and work with vendors to fabricate parts. Specify and purchase prototype components. Hands on assembly and test prototype designs. Identify root cause of failures. Learn and apply industry mechanical standards. Qualifications Education Completed at least two years of undergraduate ME course work. Experience Requirements Experience in the design of precision mechanism and machine design. Strong analytic, technical and problem solving skills. Understanding of mechanical engineering principles. Design skills in SolidWorks or other similar CAD applications. Familiar with creating fabrication drawings per ASME standards. Familiarity with Geometric Dimensioning and Tolerancing a plus. Skills and Other Requirements Ability to work independently and show initiative to complete tasks. General knowledge of machine shop fabrication processes, desired. Ability to effectively communicate both orally and in writing in English. Creativity, curiosity, and passion for building things.

SoftBank is making significant investments in AI infrastructure. SoftBank Corp. has recently established a new U.S. center in Sunnyvale, CA, focused on infrastructure software for AI and AI foundations for mobile networks (including AI Radio Access Networks). As an AI Infrastructure Engineering Intern, you will contribute to developing and optimizing infrastructure software to support state-of-the-art GenAI training, fine-tuning, and inferencing workloads. You will work closely with a team of experts to push the boundaries of AI infrastructure and applications, helping to shape products that redefine AI for modern data center and edge use cases. We offer SOTA, large-scale GPU infrastructure, high-quality data, and a collaborative environment for cutting-edge research & development. This internship is structured as a 3-month summer program.It is primarily for graduate students, though exceptional upper-division undergraduate students will also be considered. Qualifications: ● Enrolled in the graduate degree or upper division of a bachelor's degree in Computer Science, Electrical Engineering, or a related field ● Coursework and proficiency in Cloud/Distributed Systems, Operating Systems, and Networking ● Familiarity/Experience with Kubernetes and container orchestration ● Familiarity/Experience with AI frameworks, LLMs, workflows, and cutting-edge research ● Hands-on projects demonstrating experience with building systems, cloud software, and solutions, especially for GenAI, would be a plus Responsibilities Include: ● Research and design intelligent workload placement strategies for AI/ML workloads ● Implement strategies as part of systems software on large-scale GPU systems ● Contribute to developing control planes for workloads, including scheduling and orchestration ● Design and implement Observability dashboards for AI/ML workloads ● Develop APIs for Observability portals to interact with the infrastructure ● Stay current with advancements in AI/ML infrastructure, contribute to cutting-edge research, implement findings to improve performance, and author papers Internship Details: ● Program Duration: 3 months (during summer of 2025) ● Location: Sunnyvale, CA (great downtown location with access to Caltrain, restaurants, and facilities) ● Compensation: $54 per hour (for students enrolled in graduate programs) paid monthly, plus Round-trip airfare assistance

Pay Rate: $36.30/hr - $39.60/hr Shift Hours: 3 PM to 12:30 AM with 1/2 hour lunch. OT required We are looking for Associate Test Engineers for various positions in manufacturing who will be involved with the testing of new technologies such as optics/opto-mechanical, assembly, electrical/PCB, alignment, and system integration. In these positions you will work on assignments that are moderately complex in nature where judgment is required to resolve problems and make routine recommendations. If you enjoy working in a collaborative, continuous learning environment while working on industry leading technology, we want to hear from you! In addition, you will: • Perform set-up, calibration, testing and troubleshooting of mechanical assemblies at system level. • Determine and may develop methods and procedures from blueprints, drawings and diagrams. • Test and troubleshoot assemblies and/or final systems, and complete rework on assemblies and/or systems as a result of testing. • Prepare technical reports summarizing findings and recommending solutions to technical problems. May assist in the selection and set-up of specialized test equipment. • Work on assignments that are moderately difficult, requiring judgment in resolving issues or in making recommendations. • Perform ongoing daily work with minimal instruction, and with general instructions on newly introduced assignments. • May provide work assignment direction and technical training to peers. Qualifications: • You have hands-on experience in electro-mechanical assembly, testing, troubleshooting and repair. • Ability to work in a clean room environment is required. • You have experience with systems development and testing, including formulating system level requirements, test specifications and test results. • Hands on experience using Oscilloscopes and DVM analysis tools and equipment is preferred. • You are able to use and manipulate a variety of fine adjustment hand tools, torque wrenches and calipers. • You work effectively across different functional teams in different locations. • You demonstrate excellent written and oral interpersonal skills in English. • You demonstrate excellent organization skills, with a logical approach to problem solving, good time management and task prioritization. • You are dedicated and able to work with a minimum of supervision. • You hold a Technical Certificate, or AS degree, or military technical training experience, or equivalent vocational training in a technical discipline and a minimum of 5 years of related experience. A BSEE, BSEET or similar degree in an engineering discipline is strongly preferred. • A demonstrated ability to work with little or no instruction on routine work, and with general instructions on new assignments. • You have prior hands-on experience testing digital and/or analog components and systems. • You are able to demonstrate the ability to use a variety of testing and measuring instruments. • A willingness to learn, collaborate effectively within and across teams, and strive for continuous improvement. • Able to work extended hours, including weekends. • Able to stand, sit, bend, and periodically lift up to 50 pounds with assistance. • LabView, Linux and MS Office suite software knowledge is a plus.

TECH LEAD ENGINEER SOFTWARE BACKEND AND AI HEALTH TECH $200,000-$250,000 + EQUITY HYBRID (3 DAYS P/W ON-SITE IN PALO ALTO) Harnham is excited to bring an opportunity with one of the West Coast's leading health tech, delivering impactful gen AI within the world of patient care. The Role As a Technical Lead Engineer, you will be: Developing and delivering core platform service and ensuring seamless integration Designing the overall architecture of their AI SaaS platform Lead on objectives, timelines, key milestones, KPIs and more. Deliver clean, efficient and maintainable code. Your Skills As a Tech Lead, you will have: 6+ years experience working as a Software Engineer and currently delivering at Lead/Staff/Principal/Manager level Experience working for start-ups/scale-up businesses Healthcare or Health Tech experience Python programming GCP or AWS cloud platforming Excellent stakeholder management skills The Benefits $200,000-$250,000 per year Generous equity package 3 day p/w hybrid. Note: Unfortunately this role is not able to offer sponsorship.

The application window is expected to close on: 04/24/2025 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Meet the Team We are part of Cisco Common Hardware Group (CHG), focusing on data center switch product, with high bandwidth and high power density. We are looking for an exceptional Thermal Engineer to tackle the challenges of high-power ASIC's, next generation cooling, and high-density I/O. We focus in various cooling solutions, from forced air, convection cooling to liquid cooling in Modular or fixed to rack platforms. You will work very closely with Hardware & mechanical Engineering, Product Management/Marketing, Product Operations team, Global Supplier Management (GSM), External Vendors/Suppliers, Manufacturing Operations, and CM partners. Your Impact The Thermal Engineer Technical Leader helps to conceptualize the design and develop innovative electronic systems from a thermal aspect. You will impact and shape the development of cutting-edge network gears and hardware designs. Use your strong technical background in computational fluid dynamic, acoustic and thermal knowledge to develop and innovate next generation cooling solution. This is not limited to forced air cooling, but also free convection, liquid cool solution, and beyond. You will collaborate with Cisco cross-functional teams to architect, define, build, and validate the Enterprise switches, high density I/O, and next generation ASIC cooling challenges. Primary Responsibilities: •Architect, design, and deliver electronic enclosure's cooling solution per customer, marketing and specification of product requirements •Work on current and next generation system designs for network switches, including modular and fixed platform •Collaborate with ASIC and SI to create component level thermal modeling •Drive consistent thermal methodologies, test spec, deliverables, and documentation across the Business Unit •Mentor/coach team members on career development and provide development feedback •Drive the resolution of issues from customer escalation, test, or manufacturing partners •Define test scope/report and manage multiple projects per deliverable schedule •Participate and/or take a lead role in Cisco's Patent Program •Interface cross-functionally and lead team collaboration extending beyond work group •Support vendor in custom heatsink or fan development •Assist with the evaluation and selection of new vendor Minimum Qualifications •Bachelor's Degree in Thermal engineering or equivalent degree +8 years of work experience or Master's degree in Thermal Engineering or equivalent degree and +6 years of related experience •8+ years of work experience in electronic cooling solutions, including heatsink design, fan development, and thermal interface materials •Prior experience with I/O technology, including ICM and optical transceivers like SFP, QSFP, QSFP-DD •Experience with FloTHERM or other CFD modeling tools Preferred Qualifications •Experience with air-cooled and free convection compact switches •Expertise with common CFD analysis tools in conjunction with dissemination of results clearly to inter-disciplinary team members •Hands on experiences in wind tunnel and acoustic tests •Ability to communicate thermal solutions at an executive level and influence the outcome #WeAreCisco #WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best. We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer-80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!

Our “Clone Brain” architecture allows you to create a digital representation of your mind-reflecting your knowledge, tone, ways of thinking, and even the purpose that drives your conversations. (For example, a leadership coach might direct their clone to mentor emerging managers, while a consultant might want their clone to focus on sales strategy and client onboarding.) Up until now, many of our improvements have come from intuition, first principles, and a very basic testing suite. We want to increase the fidelity of each Clone Brain, ensuring it captures its owner's unique style, knowledge, and conversational aims, while also being able to reason in new situations. But to do that, we need rigorous measurements and interpretability tools that transform “it feels right” into “we have metrics & benchmarks that prove it.” Enter the Research Engineer - Evals & Interpretability. You'll develop frameworks that quantify how well each digital clone mirrors the authenticity and expertise of its human counterpart, while also building the tooling to open the black box and figure out why the clone behaves the way it does. If you're curious about cognitive science, neural network interpretability, and the essence of what makes a human mind unique-this role has your name on it. What You Will Work On 1. Frontier Eval Systems & Metrics Design, implement, and manage robust evaluation frameworks that measure how faithfully a clone reflects its owner's tone, style, purpose, and reasoning. Develop automated tests and analysis pipelines to compare new models and architectures, ensuring we're always improving the fidelity of our Clone Brain. 2. Interpretability & Debugging Build interpretability tools that shine a light on the internal workings of our clone models, from attention heads to knowledge graph structures. Investigate model behaviors and anomalies, surfacing insights that guide algorithmic improvements and mitigate unexpected outcomes. 3. Collaboration & Deployment Work closely with our AI, product, and engineering teams to integrate your evaluation suites into production workflows. Contribute to real-time feedback loops that help experts refine their clone's knowledge and style with confidence. 4. Infrastructure & Tooling Develop the technical infrastructure for large-scale experimentation and analysis, ensuring that interpretability and eval frameworks can scale across thousands of clones. Help define our data schemas, retrieval strategies, and model instrumentation in collaboration with data and infra engineers. Preferred Abilities Hands-On Research Experience: A track record of designing experiments and running them end-to-end-whether in AI, ML, or another scientific domain. LLM Familiarity: Experience evaluating or fine-tuning large language models, with an emphasis on measuring alignment, style transfer, or interpretability. Python Proficiency: Strong coding skills to build robust pipelines and experiment frameworks. Evals & Benchmarking: Familiarity with common language model benchmarks and an eagerness to develop new ones. Interpretability Fundamentals: Knowledge of mechanistic interpretability, feature attribution, or circuit-level analysis is a huge plus. Infrastructure & Tools: Comfort with containers, scaling experiments on clusters, and building internal tools. Experimental Mindset: Ability to pivot quickly when an approach doesn't pan out, and a relentless drive to find creative solutions to open-ended questions. Why You Might Like This Role Evals for AI is pushing the frontier of research. How to do evals correctly is still an open question. People who will thrive in this role are excited by this challenge, and the opportunity to be at the forefront of research. High level of ownership and impact on product, technical architecture, and company culture Opportunity to define the future of digital cloning, ultimately enabling digital immortality and 1-1 mentorship for the masses. Challenging work that pushes you to your limits Collaboration with a team passionate about scaling human potential and personalized learning Chance to join a fast-growing startup creating a new market, approaching problems from first principles while valuing design and brand Why You Might Not Like This Role Not a 9-to-5 We move fast, iterate often, and tackle ambitious challenges-this isn't a clock-in/clock-out environment. No Existing Blueprint If you prefer well-trodden paths and established frameworks, be warned: we're creating something that's never existed before. Applied AI Over Foundation Research Our focus is on building and optimizing real products for end users, not on training new LLMs from scratch. Fully On-Site We believe in-person collaboration drives better ideas. If you're looking for remote, this might not be for you.

Job Title: Engineering Tech Lead Employment Type: Full time, Onsite Salary Range: $140,000 to $190,000 USD Gruve is an innovative Software Services startup dedicated to empowering Enterprise Customers in managing their Data Life Cycle. We specialize in Cyber Security, Customer Experience, Infrastructure, and advanced technologies such as Machine Learning and Artificial Intelligence. Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks. Why Gruve: At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you're passionate about technology and eager to make an impact, we'd love to hear from you. Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted. Position summary: We are seeking a talented Engineer to join our AI team. You will technically lead experienced software and machine learning engineers to develop, test, and deploy AI-based solutions, with a primary focus on large language models and other machine learning applications. This is an excellent opportunity to apply your software engineering skills in a dynamic, real-world environment and gain hands-on experience in cutting-edge AI technology. Key Roles & Responsibilities: Design and implement software solutions that power machine learning models, particularly in LLMs Create robust data pipelines, handling data preprocessing, transformation, and integration for machine learning projects Collaborate with the engineering team to build and optimize machine learning models, particularly LLMs, that address client-specific challenges Partner with cross-functional teams, including business stakeholders, data engineers, and solutions architects to gather requirements and evaluate technical feasibility Design and implement a scale infrastructure for developing and deploying GenAI solutions Support model deployment and API integration to ensure interaction with existing enterprise systems. Basic Qualifications: A master's degree or PhD in Computer Science, Data Science, Engineering, or a related field Experience: 8-12 Years Strong programming skills in Python and Java Good understanding of machine learning fundamentals Hands-on experience with Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn) Familiar with frontend development and frameworks like React Basic knowledge of LLMs and transformer-based architectures is a plus Preferred Qualifications Excellent problem-solving skills and an eagerness to learn in a fast-paced environment Strong attention to detail and ability to communicate technical concepts clearly. Equal Employment Opportunity We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Compliance Statements This job description is compliant with the Fair Labor Standards Act (FLSA) and Americans with Disabilities Act (ADA). The essential functions listed are necessary for ADA compliance. Salary ranges are provided in accordance with New York and California pay transparency laws. Physical Demands Ability to remain in a stationary position for extended periods. Occasionally move about the office to access files and office equipment. Work Environment This position may require working in a fast-paced environment. On-site presence is required Reasonable Accommodation Statement Gruve is committed to the full inclusion of all qualified individuals. As part of this commitment, Gruve will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact ***************.

Company and BG Description: Delta, founded in 1971, is a global provider of power and thermal management solutions. Its mission statement, "To provide innovative, clean and energy-efficient solutions for a better tomorrow," focuses on addressing key environmental issues such as global climate change. As an energy-saving solutions provider with core competencies in power electronics and automation, Delta's business categories include Power Electronics, Mobility, Automation, and Infrastructure. Position Purpose: Internship / Co-Op Job Description: Thermal/Power FAE Intern Support the design, testing, and optimization of thermal or power systems for data center applications. Collaborate with senior engineers on simulations, prototypes, and customer solutions. Ideal for students in Mechanical (Thermal) or Electrical (Power) Engineering with relevant coursework and tool experience (CFD, MATLAB etc.) Key Competencies/Skills/Tools: Thermal analysis, power electronics, troubleshooting, customer interaction. Tools: CFD software (e.g., ANSYS, Fluent), MATLAB, SPICE, thermal simulation tools. Job qualification guidelines: Bachelor's or Master's in Electrical or Mechanical

My client is an early-stage startup developing a novel, highly cost-efficient electrolyzer technology. They are seeking talented engineers and scientists to join at the ground floor and help scale the technology. Key Responsibilities: Ensure and enhance safety protocols. Design, prioritize, and execute electrochemical experiments independently. Analyze and communicate data to both technical and non-technical teams. Design, assemble, and operate electrochemical and non-electrochemical test equipment, including electrolyzer hardware. Support technical facility operations and maintenance across the process chain. Contribute to IP development for low-cost green hydrogen production. Qualifications: Team experience in hazardous chemical and electrical environments. Bachelor's degree in Chemical Engineering, Chemistry, Materials Science, or a related field. 1-2 years of electrochemical experience (preferably with electrolyzers, fuel cells, or similar devices). Proficiency with fluid handling systems, process piping, and control systems. Familiarity with data analysis, statistical techniques, and visualization (Excel, Python, MATLAB, R). Preferred Qualifications: 3-4 years of electrochemical experience and/or an advanced degree. Startup or fast-paced R&D experience. Flexibility and adaptability to evolving engineering needs. Strong troubleshooting skills in both electrochemical and non-electrochemical systems. Hands-on experience with electrolyzer or fuel cell stack operations. Familiarity with CAD, shop tools, and power tools.

Member of Technical Staff: Research Engineer, Pre-Training We are seeking a highly skilled Research Engineer, Pre-Training to join a dynamic and innovative AI research team. As a Research Engineer, Pre-Training, you will play a key role in advancing the foundation models that power cutting-edge AI systems. This is an opportunity to directly influence the development of state-of-the-art AI by designing and testing novel pre-training approaches that improve model performance and scalability. This organization is focused on developing breakthrough AI technologies. They operate with a small, efficient team, working on hard AI problems that require innovative thinking and strong technical skills. Their approach emphasizes collaboration across disciplines to tackle challenges in machine learning and AI at scale. By bringing together talented engineers and researchers, they are shaping the future of AI research, building next-generation models that can be applied across industries. As a Research Engineer, Pre-Training, your primary responsibility will be designing and implementing novel pre-training techniques for creating powerful foundation models. You will collaborate closely with Research Scientists to develop new model architectures, training objectives, and scaling approaches. Your work will involve running large-scale experiments, analyzing results, and iterating on approaches to improve model performance. You will also be responsible for optimizing pre-training pipelines to handle vast amounts of data, ensuring that models are not only accurate but also efficient and scalable for real-world applications. What we can offer you: The opportunity to work on high-impact, real-world AI problems A collaborative and innovative research environment Competitive compensation and benefits Fast-paced development with the ability to shape AI capabilities Access to cutting-edge AI frameworks and infrastructure Key responsibilities: Design and implement novel pre-training architectures to improve model performance Collaborate with data and product teams to bridge the gap between research and production Lead experiments to test pre-training techniques and analyze results Develop scalable pre-training pipelines for large datasets Optimize pre-trained models for deployment in production environments Continuously iterate on models and techniques to improve efficiency and capabilities Relevant keywords: Experience in pre-training , large language models , scalable pipelines , and deep learning frameworks such as Megatron , DeepSpeed , JAX , PyTorch , and TensorFlow will be essential in driving success in the role of Research Engineer, Pre-Training.

About the role At FurtherAI, we're creating AI Agents to automate tasks traditionally requiring human expertise. As the Founding Applied Research Engineer, you'll work on developing and productizing product-focused solutions, leveraging Large Language Models (LLMs) and Vision Language Models (VLMs) to solve real-world challenges and push the boundaries of what AI can achieve. LLMs can solve 80% of a problem, but the leap from 80% → 100% is where true innovation happens. Your mission: capture the peaks of intelligence while ensuring the reliability and consistency of human-level performance. This is an in-person role based in San Francisco, CA. Kind of challenges you'll work on Build an agent swarm to automatically triage inbox Accurately extract structured and unstructured data from any type of document. Design validator systems to detect AI failures to escalate them to human reviewers. What we're looking for Passion for iterating fast and building things - if you're exceptional in this area, other requirements are optional. Experiment with novel techniques to improve the accuracy and reliability of LLMs and VLMs. Expertise in fine-tuning existing foundation models. Proficiency in creating and curating training and evaluation datasets Deploying LLMs in production environments Staying up-to-date with the latest advancements and trends in AI. Bonus: Publishing in leading AI/ML conferences (e.g., NeurIPS, CVPR, ACL). What we value At FurtherAI, we take immense pride in our work, operate with a strong sense of ownership, and are relentless in our pursuit of excellence. Every member of our team works extremely hard, driven by the common goal of building something transformative. If you're not ready to bring this level of commitment and ownership to the table, this role may not be the right fit for you. Perfect Opportunity if you want to Build new product experiences that use AI agents as centerpiece Work with cutting-edge LLM and VLM models Be one of the first employees in a fast-paced startup Start your own company in the future (66% of our team is ex-founders!) About FurtherAI At FurtherAI, we are building a workforce of AI Teammates to automate insurance workflows. These AI Teammates can practically automate any insurance workflow involving processing unstructured documents, data entry into internal systems or web portals, or even making phone calls. Our core mission is to answer a critical question: Can AI be made as reliable, adaptive, and continuously learning as a new human employee? We have successfully raised a seed round from top-tier investors, including Y Combinator, South Park Commons, and Converge VC (full announcement soon). Our founding team features a second time founder and a language modeling scientist from Apple, who have known each other for over 12 years.

Duration: 12 Months (Possibility of extension/conversion based on the performance & the budget) Client: One of the largest Flash Data Storage Devices manufacturers We are seeking a skilled Engineering Technician to join our team in Milpitas, CA. In this role, you will be involved in the development, testing, and debug of our next generation high capacity enterprise SSD's. Duties: Execute and maintain comprehensive system integration test plans and test cases Implement and maintain automated test scripts to improve testing efficiency and coverage Identify, document, and track software defects using bug tracking systems Collaborate with cross-functional teams to resolve integration issues and ensure system compatibility Analyze test results and provide detailed reports to stakeholders Participate in code reviews and contribute to continuous improvement of testing processes Mentor junior team members and share best practices in testing methodologies Qualifications: Bachelor's degree in Information Technology, or related field 3+ years of experience in system integration testing or related field Experience with SSD testing on Enterprise servers environment Excellent problem-solving and debugging skills Strong communication and teamwork abilities Strong background in system integration and interoperability testing Experience with scripting languages such as Python and Shell scripting Experience working with Windows and Linux OS's on servers.

Duration: 12-Month Contract (Potential for Extension or Conversion) Pay Rate: $28/hr. Schedule: 40 hours/week, 8-hour days (Potential for Overtime) On behalf of our client a computer technology company, we are seeking a skilled Engineering Technician II to join their team in Milpitas, CA. In this role, you will be involved in the development, testing, and debugging of next-generation high-capacity enterprise SSDs. This position offers an exciting opportunity to contribute to advanced storage solutions in a dynamic environment. Key Responsibilities: Execute and maintain comprehensive system integration test plans and test cases. Implement and maintain automated test scripts to improve testing efficiency and coverage. Identify, document, and track software defects using bug tracking systems. Collaborate with cross-functional teams to resolve integration issues and ensure system compatibility. Analyze test results and provide detailed reports to stakeholders. Participate in code reviews and contribute to the continuous improvement of testing processes. Mentor junior team members and share best practices in testing methodologies. Education & Experience: Bachelor's degree in information technology or a related field and 3+ years of experience in system integration testing or a related field. Experience with SSD testing in an enterprise server environment. Excellent problem-solving and debugging skills. Solid background in system integration and interoperability testing. Proficiency in scripting languages such as Python and Shell scripting. Experience working with Windows and Linux operating systems on servers. #TPSITPandoLogic. , Location: Milpitas, CA - 95036 , PL: 596967693

SoftBank is making significant investments in infrastructure for AI. SoftBank Corp. has recently established a new U.S. center in Sunnyvale, CA, focused on infrastructure software for AI and AI foundations for mobile networks (including AI Radio Access Networks). As an AI/ML Engineering Intern, you will contribute to developing and optimizing state-of-the-art GenAI models, training and fine-tuning loops, pre-training and post-training processes, and model evaluation frameworks. You will work closely with a team of experts to push the boundaries of AI infrastructure and applications, helping to shape products that redefine AI for modern data center and edge use cases. We offer SOTA large-scale GPU infrastructure, high-quality data, and a collaborative environment for cutting-edge research & development. This internship is designed as a 3-month summer program and is suitable for graduate students. Exceptional upper-division undergraduate students will also be considered. Qualifications: Enrolled in the graduate or upper division of a bachelor's degree program in Computer Science, Electrical Engineering, or a related field Coursework and proficiency to support AI/ML understanding Familiarity/Experience with AI frameworks such as PyTorch, TensorFlow Familiarity/Experience with transformer-based LLMs, workflows, and cutting-edge research Hands-on projects demonstrating experience with pre-training, post-training, parameter-efficient fine-tuning, model evaluation, especially with GenAI, would be a plus Responsibilities Include: Contribute to developing and optimizing AI/ML workflows for training, fine-tuning, and inferencing (for LLM use cases) Design and execute comprehensive evaluation frameworks to measure model quality and efficiency Deploy serving instances and benchmark inferencing performance Optimize resource utilization on large-scale GPU clusters for AI workloads Stay current with advancements in AI/ML, contribute to cutting-edge research, implement findings to improve performance, and author papers Internship Details: Program Duration: 3 months (during summer of 2025) Location: Sunnyvale, CA (great downtown location with access to Caltrain, restaurants, and facilities) Compensation: $54 per hour (for students enrolled in graduate programs) paid monthly, plus Round-trip airfare assistance

TECH LEAD ENGINEER SOFTWARE BACKEND AND AI HEALTH TECH $200,000-$250,000 + EQUITY HYBRID (3 DAYS P/W ON-SITE IN PALO ALTO) Harnham is excited to bring an opportunity with one of the West Coast's leading health tech, delivering impactful gen AI within the world of patient care. The Role As a Technical Lead Engineer, you will be: Developing and delivering core platform service and ensuring seamless integration Designing the overall architecture of their AI SaaS platform Lead on objectives, timelines, key milestones, KPIs and more. Deliver clean, efficient and maintainable code. Your Skills As a Tech Lead, you will have: 6+ years experience working as a Software Engineer and currently delivering at Lead/Staff/Principal/Manager level Experience working for start-ups/scale-up businesses Healthcare or Health Tech experience Python programming GCP or AWS cloud platforming Excellent stakeholder management skills The Benefits $200,000-$250,000 per year Generous equity package 3 day p/w hybrid. Note: Unfortunately this role is not able to offer sponsorship.

My client is an early-stage startup developing a novel, highly cost-efficient electrolyzer technology. They are seeking talented engineers and scientists to join at the ground floor and help scale the technology. Key Responsibilities: Ensure and enhance safety protocols. Design, prioritize, and execute electrochemical experiments independently. Analyze and communicate data to both technical and non-technical teams. Design, assemble, and operate electrochemical and non-electrochemical test equipment, including electrolyzer hardware. Support technical facility operations and maintenance across the process chain. Contribute to IP development for low-cost green hydrogen production. Qualifications: Team experience in hazardous chemical and electrical environments. Bachelor's degree in Chemical Engineering, Chemistry, Materials Science, or a related field. 1-2 years of electrochemical experience (preferably with electrolyzers, fuel cells, or similar devices). Proficiency with fluid handling systems, process piping, and control systems. Familiarity with data analysis, statistical techniques, and visualization (Excel, Python, MATLAB, R). Preferred Qualifications: 3-4 years of electrochemical experience and/or an advanced degree. Startup or fast-paced R&D experience. Flexibility and adaptability to evolving engineering needs. Strong troubleshooting skills in both electrochemical and non-electrochemical systems. Hands-on experience with electrolyzer or fuel cell stack operations. Familiarity with CAD, shop tools, and power tools.

Job Responsibilities: Support the development and manufacturing of a new autonomous delivery robot platform. Collaborate with Hardware Engineering and Technician teams to prepare for product launch. Oversee day-to-day production operations to ensure efficiency and quality. Act as the frontline response to all quality issues, ensuring product reliability. Maintain strict component traceability to ensure compliance and consistency in shipments. Work closely with Design-Responsible Engineers (DREs) to bring product designs to production. Establish and maintain documentation to streamline manufacturing processes. Set up and oversee quality control systems for production. Play a key role in scaling and sustaining manufacturing for next-generation delivery robots. Collaborate cross-functionally with various teams and stakeholders to drive successful product development and deployment.

TECH LEAD ENGINEER SOFTWARE BACKEND AND AI HEALTH TECH $200,000-$250,000 + EQUITY HYBRID (3 DAYS P/W ON-SITE IN PALO ALTO) Harnham is excited to bring an opportunity with one of the West Coast's leading health tech, delivering impactful gen AI within the world of patient care. The Role As a Technical Lead Engineer, you will be: Developing and delivering core platform service and ensuring seamless integration Designing the overall architecture of their AI SaaS platform Lead on objectives, timelines, key milestones, KPIs and more. Deliver clean, efficient and maintainable code. Your Skills As a Tech Lead, you will have: 6+ years experience working as a Software Engineer and currently delivering at Lead/Staff/Principal/Manager level Experience working for start-ups/scale-up businesses Healthcare or Health Tech experience Python programming GCP or AWS cloud platforming Excellent stakeholder management skills The Benefits $200,000-$250,000 per year Generous equity package 3 day p/w hybrid. Note: Unfortunately this role is not able to offer sponsorship.