Founding Software Engineer at Olive | San Francisco

About Tacit Tacit is an early-stage deep tech startup based in San Francisco, focused on hardware that changes how people interact with computers. Backed by General Catalyst, Khosla Ventures, and Greylock Partners, the team brings experience from Stanford, BrainGate, Oculus, and Tesla. The company is committed to solving complex engineering problems to deliver new products that push the boundaries of human-computer interaction. Role Overview The Full-Stack Software Engineer will help turn ambitious ideas into real products, working across Tacit's software stack. This role involves taking features from initial concept through to deployment and shaping user experiences that support the company’s mission. What You Will Do Develop the internal product stack to improve workflows and prototypes across devices and companion clients. Build and expand internal applications for demos and data collection, supporting idea testing and user experience validation. Prototype new features for human-computer interaction, iterate with test users, and refine until the experience feels seamless. Design and run product experiments, including A/B tests and feedback loops, to quickly gather insights and guide product direction. Streamline data collection and participant experiences, including setup flows, session reliability, metadata capture, monitoring, and labeling. Develop demo features that showcase real-time sensing and inference in engaging, reliable ways. Find and implement integrations that improve team workflows and efficiency. Create and improve automated testing and release systems, such as CI/CD pipelines, smoke tests, and regression checks, to support frequent updates. Work closely with machine learning, hardware, and industrial design teams to define requirements, deliver results, troubleshoot, optimize, and ensure reliability. Qualifications Strong skills in Python (FastAPI, Pydantic; experience with pandas or numpy) and modern TypeScript/React. Experience building production backends (APIs, data models, reliability, observability) and delivering features for end users. History of shipping multiple products from start to finish.

About TacitTacit is an innovative deep tech startup located in the heart of San Francisco, pioneering hardware solutions that redefine human-computer interaction. Supported by prominent investors such as General Catalyst, Khosla Ventures, and Greylock Partners, our founding team comprises experts from esteemed organizations like Stanford, BrainGate, Oculus, and Tesla. While our groundbreaking products are still under wraps, our team is dedicated to tackling formidable engineering challenges to revolutionize the tech landscape.About the RoleWe are looking for an enthusiastic Software Engineering Intern to contribute to the development of the next generation of human-computer interfaces. This internship offers invaluable hands-on experience in both front-end and back-end development, focusing on creating user-centric applications and aiding internal research processes. You will collaborate closely with a talented team of engineers, designers, and researchers to bring innovative interaction paradigms to fruition.Key ResponsibilitiesDesign and implement applications for web, mobile, and embedded clients that interface with our hardware.Build backend services for real-time interaction and seamless data streaming.Develop internal tools for data labeling, visualization, and debugging purposes.Rapidly prototype new user experiences utilizing novel input methods.Collaborate with full-time engineers to deploy stable, high-performance software solutions.Document engineering insights and articulate design decisions effectively.Preferred QualificationsProficiency in Python, TypeScript, React, Linux, and command-line development.Demonstrated ability to work independently, with a strong sense of flexibility and resourcefulness.Excellent communication and teamwork skills.Ability to thrive in a fast-paced startup environment, with a keen interest in independent project development.CompensationHourly compensation will be determined based on your individual skills and experience.

About TacitTacit is a pioneering deep tech startup located in San Francisco, focused on creating groundbreaking hardware that transforms human-computer interaction. Supported by notable investors such as General Catalyst, Khosla Ventures, and Greylock Partners, our founding team comprises experts from Stanford, BrainGate, Oculus, and Tesla. While we are unable to disclose extensive details at this moment, our team is passionately addressing advanced engineering challenges to develop revolutionary products.About the RoleWe are on the lookout for a driven Electrical Engineering Intern to assist in the development and scaling of test infrastructure for our innovative sensing technology. This internship will provide you with hands-on experience across hardware, firmware, and automation systems, emphasizing the enhancement of test coverage and product reliability. You will have the opportunity to engage in collaborative learning and actively participate in product development within a vibrant startup atmosphere.What You'll DoAutomate lab equipment and validation workflowsDesign and construct custom PCBs for test jigsContribute to embedded firmware to support test hooks and diagnosticsDevelop a continuous integration (CI) test rack to automatically validate firmware releases and sensor performanceAssist in sensor characterization and calibration to minimize device-to-device variabilityDocument and effectively communicate engineering findings and recommendations.Ideal Candidates May HaveProficiency in Python, PCB Design (Altium), Embedded C/C++A strong independent work ethic, adaptability, and resourcefulness.Excellent communication and teamwork abilities.Comfort in a fast-paced startup environment, with a passion for independent building.CompensationHourly rate determined by your individual skills and experience.

About TacitTacit is an innovative deep tech startup located in San Francisco, dedicated to transforming human-computer interaction through groundbreaking hardware solutions. Our venture is supported by prominent investors such as General Catalyst, Khosla Ventures, and Greylock Partners, with a founding team comprising experts from Stanford, BrainGate, Oculus, and Tesla. We are on a mission to tackle pioneering engineering challenges to bring visionary products to life.About the RoleWe are looking for a passionate PhD student to join us as an Antenna Engineering Intern. In this role, you will collaborate closely with our talented engineers and researchers to design, simulate, analyze, and validate advanced antenna systems for our wireless sensing hardware. This internship offers invaluable hands-on experience throughout the entire product lifecycle, emphasizing design optimization and performance reliability. You will have the unique opportunity to work on impactful problems, contributing directly to 0-to-1 product development in a vibrant startup environment.Key ResponsibilitiesDesign and evaluate antennas for specific wireless channel link budgets, considering various solutions and trade-offs between key performance indicators (KPIs).Conduct computational electromagnetic simulations and develop new models utilizing full-wave electromagnetic software tools.Analyze and interpret simulation results, providing insights and recommendations for design enhancements and performance optimization.Create mock-ups for proof-of-concept prototypes and test vehicles, build testing fixtures and platforms, and develop solutions to automate antenna system development and data analysis workflows.Support the PCB layout design process and DFM reviews, ensuring readiness for mass production with vendors and external manufacturing partners.Collaborate with cross-functional teams to integrate antennas into complete device form factors.Conduct antenna characterization to ensure integrated antennas meet specifications in free space and on-body, from prototype to mass production.Assist in sensor calibration to minimize device-to-device variability and maintain reliable performance under various operating conditions and user scenarios.Optimize hardware systems for low-noise and low-interference, high-resolution signal detection.

About TacitTacit is an innovative, early-stage deep tech startup located in San Francisco, focused on developing groundbreaking hardware to redefine human-computer interactions. With support from prominent investors such as General Catalyst, Khosla Ventures, and Greylock Partners, our founding team brings expertise from renowned institutions including Stanford, BrainGate, Oculus, and Tesla. While we are not ready to disclose our projects fully, we are committed to solving complex engineering challenges to launch revolutionary products.Position OverviewWe are seeking a talented Senior Electrical Engineer to lead the architecture, design, and deployment of next-generation neurotechnology hardware products. As a pivotal member of our expanding hardware team, you will take ownership of significant components of our electrical systems from initial design stages to mass production, playing a crucial role in the realization of sophisticated consumer electronics.Key ResponsibilitiesElectrical System Design & DevelopmentLead the electrical architecture and board-level design for mixed-signal consumer hardware systems from concept to production.Oversee schematic design and guide the development process through EVT, DVT, PVT, and mass production stages.Define system partitioning, interfaces, and component selection across computing, sensors, connectivity, and power subsystems.Conduct rigorous design reviews and establish robust electrical design and manufacturing standards.Collaborate closely with mechanical, firmware, and software teams to enhance performance, size, thermal behavior, and reliability.Effectively navigate a startup environment where engineers manage substantial parts of the hardware stack.High-Speed and High-Density Hardware DesignDesign high-density, multi-layer PCBAs employing HDI techniques, fine-pitch BGAs, and controlled-impedance routing.Implement high-speed digital interfaces such as USB, Quad-SPI, MIPI, CSI/DSI, DDR, or similar buses.Create analog and mixed-signal circuits, including amplifiers, filters, sensor interfaces, and ADC/DAC connections.Optimize PCB layout for signal integrity, power integrity, and low-noise performance.Power Electronics & Battery SystemsDesign and implement power electronics and battery management systems for our devices.Ensure compliance with safety and regulatory standards while optimizing performance and efficiency.

About TacitTacit is an innovative, early-stage deep tech startup located in San Francisco, pioneering advanced hardware solutions that revolutionize human-computer interaction. With prestigious backing from General Catalyst, Khosla Ventures, and Greylock Partners, our founding team comprises experts from Stanford, BrainGate, Oculus, and Tesla. While we are still in stealth mode, our team is passionately addressing avant-garde engineering challenges to create groundbreaking products.About the RoleAs a Data Scientist Intern, you will join our Machine Learning and Research team, focusing on the development of state-of-the-art tools and methodologies for data processing and analysis. Your responsibilities will include designing, executing, and analyzing experiments using our unique systems, interpreting results to guide future data collection, hardware design, and enhancing our decoding algorithms. This role will involve hands-on experience with our custom hardware signals and examining performance scaling across diverse user groups.What You'll DoDesign, implement, and test algorithms for extracting features from bio-signals to enhance machine learning models.Rapidly iterate on experiments to evaluate new hardware prototypes and improve data collection methods.Develop visualization tools and establish metrics for data quality assessment.Collaborate with hardware and electrical engineers to optimize the sensing stack.Work alongside the ML team on data augmentation, multimodal training, and synthetic data experiments to enhance generalization.RequirementsCurrently enrolled in or recently graduated from a PhD program in neuroscience, biomedical engineering, computer science, applied mathematics, or a related discipline.Excellent communication and writing skills.Proven ability to collaborate across multidisciplinary teams and adapt quickly to new domains.Proficiency in Python; experience with PyTorch is a plus.Familiarity with dimensionality reduction techniques and time series data analysis.Strong independent work ethic, flexibility, and resourcefulness.Thrives in a fast-paced startup environment and is eager to contribute independently.Preferred QualificationsExperience with machine learning frameworks and data science tools.

About TacitTacit is an innovative, early-stage deep tech startup located in San Francisco, dedicated to revolutionizing human-computer interaction through cutting-edge hardware development. Our team, which includes experts from Stanford, BrainGate, Oculus, and Tesla, is backed by prominent investors like General Catalyst, Khosla Ventures, and Greylock Partners. We are committed to addressing complex engineering challenges to create groundbreaking products that will redefine the tech landscape.About the RoleWe are in search of a Patent Agent to spearhead and execute our patent prosecution strategy. This position is well-suited for an individual with substantial experience at a prestigious law firm who is eager to operate with greater independence while closely collaborating with our technical teams to safeguard and expand our sophisticated intellectual property portfolio.What You'll DoLead patent prosecution activities from invention disclosure to issuance.Draft, file, and prosecute U.S. and international patent applications with minimal oversight.Consult with internal stakeholders regarding patentability, freedom-to-operate, and portfolio strategies.Work directly with engineers, researchers, and leadership to develop inventions.Manage external counsel as necessary and review their work to ensure quality and strategic alignment.Contribute to the formulation of a long-term IP strategy that aligns with the company's product and research roadmap.Desired QualificationsA minimum of 4 years of experience as a Patent Agent in a top-tier law firm.A solid background in electrical engineering or a closely related technical discipline.An advanced technical degree (Master’s or PhD strongly preferred).Registered to practice before the USPTO.Proven ability to manage patent prosecution autonomously.Exceptional communication skills, capable of translating complex technical concepts into robust patent claims.CompensationThe compensation range for this role is between $180,000 and $200,000 per year.BenefitsCompetitive equity compensation package.Comprehensive health, vision, and dental insurance.A collaborative work environment with a company size of 20-30 people.Visa sponsorship available.Unlimited paid time off (PTO).

About Tacit Tacit is a deep tech startup based in San Francisco, focused on advancing human-computer interaction through new hardware. The company is backed by investors including General Catalyst, Khosla Ventures, and Greylock Partners. The founding team brings experience from Stanford, BrainGate, Oculus, and Tesla. While much of the work is confidential, the team tackles ambitious engineering problems to deliver novel products. Role Overview The Computational Neuroscientist will help develop new approaches for data analysis, improve signal extraction, and strengthen Tacit's technology infrastructure. The role involves running and interpreting experiments on proprietary systems, drawing insights to guide future data collection, and refining decoding algorithms. Work includes direct interaction with signals from custom hardware and studying how performance scales across different user groups. This is a full-time, on-site position in San Francisco (5 days per week). What You Will Do Design, implement, and evaluate algorithms to extract features from biosignals for machine learning use. Iterate quickly on experiments to test new hardware prototypes and improve data collection methods. Develop analytical tools for visualizing and assessing data quality. Work closely with hardware and electrical engineers to improve the sensing stack. Requirements PhD in neuroscience, biomedical engineering, machine learning, computer science, or a related field (or equivalent industry experience). Skilled in Python and PyTorch. Experience collaborating across diverse teams and adapting to new technical domains. Background in dimensionality reduction and time series data analysis. Self-driven, adaptable, and resourceful approach to work. Strong communication skills and a collaborative mindset. Comfort working in a startup setting and able to contribute independently. Preferred Qualifications Experience with real-time human-machine interaction technologies, such as automatic speech recognition or closed-loop systems.

Join Us at TacitAt Tacit, we are a pioneering deep tech startup located in the heart of San Francisco, dedicated to revolutionizing human-computer interaction through innovative hardware solutions. With the backing of esteemed investors such as General Catalyst, Khosla Ventures, and Greylock Partners, our founding team boasts expertise from industry leaders like Stanford, BrainGate, Oculus, and Tesla. Though we are bound by confidentiality regarding specifics, we are passionately engaged in solving advanced engineering challenges to bring groundbreaking products to market.Role OverviewWe are on the lookout for enthusiastic individuals to contribute to the development of our state-of-the-art technology. At Tacit, we emphasize hands-on experience, collaborative learning, and direct engagement in product innovation within an energetic startup atmosphere.Ideal Candidate ProfileA self-starter with a flexible mindset and the ability to resourcefully navigate challenges.Strong communication and teamwork skills.Thrives in a fast-paced startup environment, eager to work independently and contribute to the team.Compensation DetailsWe offer a competitive salary that reflects the role and experience, accompanied by a generous equity package for full-time employees.BenefitsCompetitive equity optionsComprehensive health, vision, and dental coverageA close-knit team of 20-30 professionalsVisa sponsorship availableUnlimited paid time off (PTO)3% 401(k) matching

Sieve is an AI research lab based in San Francisco, focused on large-scale video data. The team builds and maintains infrastructure capable of handling exabyte-scale video, while developing advanced methods for video understanding. Sieve also curates extensive and diverse datasets to support new approaches in video modeling. With video now accounting for a significant portion of internet traffic, the company aims to remove barriers to high-quality training data for fields like creativity, communication, gaming, AR/VR, and robotics. The company recently completed its Series A and is backed by investors including Matrix Partners, Swift Ventures, Y Combinator, and AI Grant. Sieve has worked with leading AI labs and continues to grow, generating $XXM last quarter with a small team of 15. Role overview The Software Engineering Intern at Sieve works across the stack to help build and scale data pipelines that deliver video datasets to clients. This role involves taking full ownership of projects, from sourcing and curating video data to developing machine learning filters, improving system efficiency, and building internal dashboards for quality assurance and delivery. The work directly impacts the timely delivery of high-quality data to customers. What you will do Build and scale data pipelines for delivering video datasets Source and curate video data for a range of applications Develop and refine machine learning filters to enhance data quality Improve system efficiency and reliability Create internal dashboards for quality assurance and delivery tracking Who thrives here This internship is well suited to those who enjoy solving complex technical problems, want to collaborate directly with customers at the forefront of Video AI, and seek meaningful challenges in a high-performance setting.

Netic stands at the forefront of artificial intelligence innovations, empowering essential services that serve as the backbone of the American economy.With an impressive $43 million in funding from renowned investors such as Founders Fund, Greylock, Hanabi, and Dylan Field, who spearheaded our Series B, we've enabled our clients to secure numerous jobs across various service industries in North America. Today, there are businesses that operate solely on an AI-first approach using Netic.Join our dynamic team comprised of relentless builders from top companies like Scale, Databricks, HRT, Meta, along with graduates from prestigious institutions like MIT, Stanford, and Harvard, as we integrate frontier AI into the physical economy, tackling complex challenges with immediate and tangible impacts.At Netic, we create features that empower businesses through AI. As an intern, you will receive dedicated mentorship guiding you through the entire process of supporting customers, launching features, and iterating swiftly.This internship spans 12 weeks and is set to commence in the Summer of 2026 or earlier.

This position offers flexibility for both Remote (US) and in-person roles based in San Francisco, CA.About OliveAt Olive, we’re revolutionizing how companies develop internal tools by enabling them to articulate their needs using natural language.From dynamic sales dashboards to comprehensive trust & safety workflows, internal tools serve as the operational backbone for today’s enterprises. However, creating these tools has traditionally been a slow and tedious process that drains engineering resources.Olive changes the game by transforming simple prompts into fully functional, full-stack internal tools connected to organizational data in mere minutes. Our innovative platform harnesses the power of large language models (LLMs) and advanced code generation techniques to deliver production-ready tools that provide unprecedented insights and operational efficiency.With a successful $2.1M seed funding round from top-tier investors and angel backers, we are on an exciting trajectory to scale our talented team.This role presents an exceptional opportunity to contribute to a challenging yet impactful project, characterized by speed and a strong focus on delivering results. If this sounds exciting to you, we encourage you to apply.The RoleWe are seeking a highly motivated Software Engineering Intern to join our team for the upcoming summer (or fall/spring semester). You will collaborate closely with our founders, engage across the tech stack, and explore the boundaries of robust full-stack software development leveraging AI. This is a paid internship.In this role, you will play a critical part in building on our LLMs and agentic workflows to facilitate code generation, deployment, and tool utilization for enterprise applications. By the end of the internship, you will have developed significant features and functionality that will make a tangible difference.Our team is vibrant, hardworking, and supportive, always prioritizing the customer experience to craft delightful product interactions.

Join our dynamic core engineering team at AfterQuery, where you'll play a pivotal role in developing cutting-edge data infrastructure that will influence the advancement of frontier AI models. This position offers substantial responsibility, allowing you to oversee entire projects from inception to completion—providing immediate visibility of your contributions.Company OverviewAfterQuery is an innovative research lab at the forefront of artificial intelligence, exploring its limits and potential through unique datasets and experiments. Our primary clientele consists of foundation model labs, making us a vital partner for leading AI research labs worldwide.Headquartered in San Francisco, CA, we have garnered support from top-tier investors including Y Combinator, BoxGroup, and former partners from Lightspeed and Index Ventures, as well as prominent figures from Google DeepMind and Meta GenAI.Our founding team is composed of experts from prestigious organizations such as Jane Street, Meta, Citadel Securities, Google, Goldman Sachs, Morgan Stanley, Silver Lake, and leading AI research institutions like Berkeley AI Research (BAIR) and Stanford AI Laboratory (SAIL).Why You Should ApplySignificant Growth Potential: As one of the fastest-growing YC companies, we are poised to set records in our sector.Founding Role: Take charge of our data infrastructure from day one and leave your mark.Exceptional Team: Collaborate with a founding team that boasts experience from top firms like Citadel Securities, Meta, and Google.Key ResponsibilitiesDesign and implement complex data capturing workflows across web (Next.js) and desktop (Python) environments.Architect and enhance data pipelines to handle high throughput and heavy loads efficiently.Work closely with the founding team to shape product strategy and rapidly deploy features.Establish engineering best practices and prepare for future team expansion.Essential QualificationsMust be able to take a gap semester and work on-site in San Francisco.Proficient in JavaScript (Next.js) and Python, with a proven track record of developing full-stack web applications.Experience with serverless architecture and cloud services (GCP/AWS) for intensive data processing.Familiarity with caching (Redis), indexing (Elasticsearch), and message queues (Kafka) is a plus.

Join Exa, a pioneering company dedicated to revolutionizing the AI landscape by developing an advanced search engine from the ground up. Our mission is to create robust infrastructure that efficiently crawls the web, trains cutting-edge embedding models for indexing, and builds high-performance vector databases in Rust for rapid searches. We proudly operate a $5M H200 GPU cluster that powers tens of thousands of machines, demonstrating our commitment to excellence in technology.As a Software Engineering Intern, you will be an integral part of our innovative projects, contributing your skills to a variety of tasks. We value flexibility and encourage you to choose projects that align with your strengths and interests.

About CluelyAt Cluely, we are revolutionizing the way people interact with AI by providing unparalleled advantages in diverse situations. Our innovative desktop assistant leverages screen, microphone, and audio context to deliver insights and suggestions that traditional models fail to offer due to contextual limitations.Our success hinges on two key factors:1) Chatbots are not the ideal interface for multi-modal AI.2) We possess the ability to make anything go viral.About the RoleAs an Engineering Intern at Cluely, you will be immersed in a dynamic environment where our engineering team works six days a week in-person in San Francisco, dedicating 10-12 hours each day. We provide housing within a block of the office to ensure your convenience and focus.Our engineering team comprises both seasoned professionals and ambitious young talent, creating a unique blend of skills and creativity. For more insights into our team, check out this link.Ideal Candidate ProfileYou are among the top engineers globally.You are willing to invest your life in the pursuit of greatness.

Join Condor Software as a Full-Stack Platform EngineerAt Condor, we are revolutionizing the financial infrastructure that supports clinical development. With billions invested annually in discovering and developing new therapies, we strive to connect clinical operations and finance into a cohesive system. By integrating real-time financial intelligence, we empower R&D and finance leaders with the tools they need to make informed, high-stakes decisions.We are an AI-driven, pharma-native infrastructure provider, scaling industry standards in collaboration with top-tier partners. Our platform facilitates prediction, control, and execution in the most complex R&D environments worldwide.The Importance of Your RoleHaving established ourselves as a trusted partner for enterprise teams, we are now focused on the challenging task of scaling our platform to meet increasing demands. As a rapidly growing company, backed by prominent investors like Felicis and 645 Ventures, this is a unique opportunity to contribute to the foundational infrastructure that will redefine how therapies reach patients.Your ResponsibilitiesAs a Full-Stack Platform Engineer, you will be pivotal in building and scaling the core platform that supports the financial intelligence infrastructure relied upon by leading biopharma companies. This role encompasses critical engineering tasks at the intersection of backend systems, cloud infrastructure, and intelligent automation, with a strong emphasis on reliability and scalability.Your primary focus will be on backend architecture, where you'll design and implement services that drive complex financial and operational workflows. You'll be instrumental in shaping data flow, workflow orchestration, and enabling emerging AI-driven capabilities. This role goes beyond simple integration; you'll be crafting robust primitives that support other teams as our product and customer base expand.Working as a core member of a cross-functional product team, you will closely collaborate with product managers, designers, quality engineers, and data specialists to transition features from concept to production. While backend expertise is crucial, you will also engage across the stack to ensure the platform's capabilities are effectively leveraged.

At Mechanize, we are pioneering the development of Reinforcement Learning (RL) environments tailored to train AI models for real-world applications. Our ambition is to facilitate the complete automation of the economy, partnering with leading AI laboratories. Discover more at mechanize.work.As a Software Engineering Intern at Mechanize, you will play a pivotal role in assisting our team to develop these groundbreaking RL environments. If you have a solid command of Python programming and possess a keen intellect, we would love to hear from you.We are currently seeking interns for Winter 2026, Spring 2026, and Summer 2026.No prior experience in machine learning or AI is necessary.Curious about our interview process? Learn more here: https://www.mechanize.work/how-our-interview-process-works/

SquareTrade delivers protection plans and insurance products to a large customer base. The Engineering team develops and maintains the systems behind these services, ensuring reliability and efficiency. Role overview The Software Engineer position in San Francisco centers on building and enhancing technology that supports SquareTrade’s commitment to customer service. This role involves tackling projects that promote technical growth and hands-on problem-solving. What you will do Contribute to the design, development, and maintenance of systems supporting SquareTrade’s services Work with other engineers to solve technical challenges and improve existing solutions Participate in projects that encourage learning and skill development Location This position is based in San Francisco.

Join our dynamic team at reteam as a Software Engineer in the vibrant city of San Francisco! We are seeking innovative and driven individuals to contribute to our technology initiatives.In this role, you will have the opportunity to work on exciting projects that push the boundaries of software development.