Lead engineer jobs in Sunnyvale, CA

We are seeking a detail-oriented and proactive Testing Engineer I to join our Quality Engineering team. In this role, you will collaborate with clients' test engineering teams to design test plans, develop test cases, execute manual tests, and identify/report defects. The ideal candidate should have strong analytical skills, excellent communication abilities, and a passion for delivering high-quality products. Key Responsibilities Collaborate with client test engineering teams to: Develop comprehensive test plans for various components. Create detailed and accurate test cases. Execute manual testing across multiple platforms and environments. Identify, document, and report bugs/defects using standard tools. Perform a wide range of testing activities, including: Camera & Photography Testing Back-end Testing Black Box Testing Carrier Testing Cross-Browser / Cross-Platform Testing Compatibility Testing Documentation Testing Compliance Testing Exploratory Testing Accessibility Testing Functional Testing API / Services Testing Integration Testing Device Testing Regression Testing Globalization / Localization / Language Testing User Acceptance Testing (UAT) Mobile Application Testing System Testing Manual Testing Analyze customer scenarios to ensure comprehensive test coverage. Maintain accurate test documentation, logs, and reports. Collaborate with developers, product managers, and stakeholders during defect triage and issue resolution. Requirements 0-2 years of experience in Software Testing or Quality Assurance. Hands-on experience working with Unix/Linux or Windows environments. Strong understanding of manual testing concepts, test design, and bug reporting. Working knowledge of test automation tools (Selenium, Appium, or similar) is an added advantage. Excellent analytical skills with the ability to think through customer usage scenarios. Strong written and verbal communication skills. Detail-oriented, organized, and able to work in a fast-paced environment. Preferred Skills (Nice to Have) Basic scripting skills (Python, Shell, JavaScript, or similar). Familiarity with API testing tools such as Postman or Swagger. Exposure to automation frameworks or CI/CD pipelines.

Hiring: Swift XCUI Test Engineer - iOS Device Testing We're looking for an experienced Swift XCUI Test Engineer to join a high-impact iOS testing initiative. If you have strong hands-on expertise in iOS automation and device testing, this could be a great opportunity to work on cutting-edge mobile solutions. ⚠️ Important Client Requirement USC & GC Only Also eligible: H4-EAD, L2-EAD, TN Visa No other visa types accepted Location: Cupertino, CA (Hybrid) Duration: 6+ Months (Possibility of Extension) Job Summary We are seeking a seasoned XCUI Test Engineer with deep experience in iOS device testing automation. The ideal candidate will design, develop, and maintain robust XCUI automation frameworks using Swift and Xcode, ensuring high-quality iOS applications. Must-Have (Non-Negotiable) Skills 7+ years of overall experience Strong hands-on experience with XCUI Test automation Proficiency in Swift and Xcode Solid experience in iOS device testing (real devices) Expertise in developing and maintaining XCUI automation scripts Key Responsibilities Develop and execute XCUI automation scripts for iOS applications Perform end-to-end iOS device testing Collaborate with developers and QA teams to improve test coverage Identify, log, and track defects effectively 📩 Interested? Apply now or DM us to explore this opportunity! You can share resumes at ********************* OR Call us on *****************

Salary: upto $400k cash + Equity & Bonus Reports to: CEO Team: Robotics & Systems Engineering As Head of Physical Systems & Robotics, you will own the vision and execution for physical infrastructure, from robotic hardware and manipulation systems to controls, perception, and high-throughput experimental platforms. You will lead multi-disciplinary teams to deliver physically capable, autonomous systems that integrate closely with AI and simulation teams. Key Responsibilities Technical Vision & Strategy: Define and drive the roadmap for robotics, automation, and physical system platforms. Team Leadership & Growth: Build and lead teams across robotics, controls, perception, systems integration, and hardware engineering. System Architecture: Establish robust hardware/software architectures for complex physical systems. Integration & Collaboration: Work with AI, simulation, and software teams to ensure seamless integration between algorithms and physical execution. Operational Excellence: Implement best practices for reliability, maintainability, safety, and scalability of robotic platforms. Hands-On Innovation: Balance leadership with technical involvement in prototypes, design reviews, hardware selection, and validation. Risk & Safety: Set standards for safety, testing protocols, fault tolerance, and regulatory compliance. Qualifications MS/PhD in Robotics, Mechanical Engineering, Electrical Engineering, or related fields. 10+ years of engineering leadership in building and scaling complex robotic or automated systems. Experience owning end-to-end physical systems, including motion planning, controls, perception integration, and hardware/software co-design. Strong track record of cross-disciplinary collaboration with AI researchers and software engineers. Excellent communicator and leader capable of motivating and aligning engineering teams. Bonus Points Experience with high-throughput or autonomous experimental platforms. Prior work with digital twin or simulator environments tied to physical hardware.

Software Engineer - AI Infra Startup - San Francisco, CA A small, deeply technical AI infra startup in San Francisco, building the platform that next-gen AI apps will run on - think custom compilers, CUDA kernels, and distributed orchestration are looking for a Software Engineer to join their team. What will I be doing? As a Software Engineer you'll help architect and build the infrastructure powering the next generation of AI systems. You'll work across the stack on: High-performance, distributed systems that support real-time AI workloads Kubernetes orchestration, infra tooling, and automation pipelines Low-level runtime components like custom compilers and CUDA kernels Scalable, reliable backend services Collaborating directly with the founding team on technical strategy and core architecture What are we looking for? Strong background in systems programming, backend, or infra engineering Experience with distributed systems, container orchestration, and Linux internals Comfortable working across multiple layers of the stack, from low-level code to infra ops Fast learner who thrives in ambiguous, high-agency environments Bonus: Experience with compilers, CUDA, or ML infrastructure What's in it for me: up to $300k base dependent on experience + 0.2-0.5% equity Work directly with deeply technical founders (ex-Stanford, Google, and more) on some of the hardest problems in AI infra On-site in San Francisco Stealth startup with serious backing, operating lean and hiring intentionally Apply now for immediate consideration!

Our client is building the world's fastest-growing marketplace for elite creative talent. We connect award-winning artists, directors, musicians, animators, and designers with frontier AI labs developing the next generation of multimodal systems including models like Sora, Suno, Runway, and Grok Imagine. This role is paying up to $300k salary base with 2% equity in top. Must have AI/LLM/Multimodal experience. Fully onsite role. We are a small, high-talent-density team from Stanford and Mercor, backed by: The Co-Founder of xAI The Founder of Periodic Labs Researchers from OpenAI's Sora team DeepMind alignment & evaluation leads Senior researchers from Salesforce AI, Meta, Google, and Anthropic Role Overview As a Founding Engineer, you will own core product surfaces, architecture, and infrastructure for the platform. You'll help shape engineering culture, drive rapid product iteration, and work directly with founders to build the marketplace and data systems powering the next wave of multimodal AI innovation. This role is ideal for someone who thrives in high-agency environments, ships quickly, and enjoys solving end-to-end problems across the stack. What You Will Build Marketplace & Talent Systems Onboarding flows for elite creative talent AI-assisted interviews and evaluations Self-serve matching tools between talent and AI labs Payment, billing, and workflow automation Data & Infrastructure Products Tools for frontier AI labs to support training and evaluation Internal platforms for data quality, annotation, and performance insights Product & Engineering Leadership Shape engineering culture, processes, and best practices Ship fast across greenfield projects with high ownership Influence product direction through tight feedback cycles with founders and users What We're Looking For Strong proficiency with Python, React, and TypeScript Experience with AWS, Docker, CI/CD, and modern infrastructure tooling Ability to operate independently and handle ambiguity in a fast-moving environment Interest in gamified platforms, creative tools, or marketplace dynamics Bias for action, strong communication skills, and a builder mentality

The Residential Energy Software Engineer will support the development and validation of advanced residential energy systems within an industry-leading organization. This role focuses on building, testing, and maintaining high-quality software that manages energy hardware end to end. The position involves close collaboration with cross-functional teams to ensure system reliability, performance, and safety in a fast-paced environment. Key Responsibilities: • Collaborate with product managers and cross-disciplinary engineers to develop technical designs and specifications • Design, develop, and maintain scalable and reliable software systems for residential energy solutions • Contribute to overall system architecture and integration strategies • Develop applications for system installation, configuration, monitoring, and diagnostics • Partner with engineering teams to design and implement application programming interfaces • Drive technical innovation to improve system reliability, performance, and developer productivity Required Qualifications: • Bachelor's degree in Computer Science or equivalent practical experience • Experience developing highly available, mission-critical software applications and test suites • Proficiency with system programming languages such as C, C Plus Plus, Rust, Go, Java, or C Sharp • Hands-on experience with Internet and Internet of Things protocols such as HTTP, REST, WebSockets, gRPC, or Matter • Ability to multitask, prioritize work, and perform effectively in a fast-paced, collaborative environment Preferred Qualifications: • Experience with embedded systems and related communication protocols • Exposure to web development, data analysis, or data science tools • Familiarity with common cryptography mechanisms Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, and paid holidays annually - as applicable. Pay Range: $60 - $67 per hour (depending on experience)

About VIVIO VIVIO Health, a Public Benefit Corporation, is revolutionizing pharmacy benefits management through data and technology. Our foundational principle - "The Right Drug for the Right Person at the Right Price" - drives everything we do. Since 2016, our evidence-based approach has delivered superior health outcomes while reducing costs for self-insured employers and health plans. By ensuring each patient receives the most appropriate medication for their specific condition at a fair market price, we're replacing the obsolete PBM Model with innovative solutions that work better for everyone. Why Join VIVIO? Innovation: Challenge the status quo and shape healthcare's future Impact: Directly influence patient care and help change healthcare delivery Collaboration: Work with passionate teammates dedicated to making a difference Culture: Enjoy autonomy and reliability in a micromanagement-free environment Growth: Expand your opportunities as we expand our business Job Description Position Overview We're seeking a mission-aligned Tech Lead to help build and improve our products. As a hands-on technical leader, you'll play a crucial role in architecting and developing data-driven solutions. This position combines technical expertise with leadership skills to drive our technology vision forward. This is a Hybrid role with a minimum of 3 in-office days in our Hayward office. Key Responsibilities: Lead software development initiatives while maintaining hands-on involvement Architect and develop data-producing/consuming software solutions Ensure high-quality deliverables through well-designed, maintainable, and unit-tested code Support distributed web applications in a complex, evolving environment Manage the entire application lifecycle from design to monitoring Collaborate across departments to align technical solutions with business goals Qualifications Required Qualifications: BS or advanced degree in Computer Science or equivalent practical experience 5+ years of hands-on Python development experience. 8+ years of software engineering experience Strong understanding of regulated environments (PCI DSS, ISO 27001, HIPAA, NIST) Experience with relational databases (MySQL) Proficiency in RESTful APIs and microservices architecture Experience with Atlassian toolset and Agile development methodologies Proven track record managing distributed development teams Healthcare industry experience preferred Key Attributes: Active problem solver with a "figure it out" mindset Clear and proactive communicator Exceptional attention to detail Ability to balance technical leadership with hands-on development Passion for mentoring and growing engineering talent Additional Information Compensation & Benefits Base Salary: $160,000 - $ 180,000 Bonus Eligible Comprehensive Benefits Package: Medical, Pharmacy, Dental, Vision Life Insurance Stock Options 401(k) with Company Match PTO Full-time position Dynamic, collaborative work environment Opportunity to make a real impact at a growing Public Benefit Corporation VIVIO Health is an Equal Opportunity Employer. All information will be kept confidential according to EEO guidelines Please be advised that job opportunities will only be extended after a candidate submits a completed job application and goes through our interview process, including 1:1 and/or group interviews via phone, video conferencing, and/or in-person. All legitimate correspondence from a VIVIO employee will come from our Smart Recruiter Applicant Tracking System "@smartrecruiter.com" or "@viviohealth.com" email accounts.

A pioneering and well-funded AI company is seeking a talented Python Backend Engineer to build the core infrastructure for its revolutionary autonomous systems. This is a unique opportunity to join an innovative team at the forefront of engineering and artificial intelligence, creating a new category of software that will redefine how complex products in sectors like aerospace, automotive, and advanced manufacturing are designed and developed. Why Join? Build the Future of Engineering: This isn't just another backend role. Your work will directly shape how next-generation rockets, cars, and aircraft are designed, fundamentally changing the engineering landscape. Solve Unprecedented Technical Puzzles: Tackle unique challenges in building the infrastructure for autonomous AI agents, including simulation orchestration, multi-agent coordination, and scalable model serving. Shape a Foundational Platform: As a critical member of a pioneering team, you will have a significant impact on the technical direction and core architecture of an entirely new category of software. Join a High-Impact Team: Work in a collaborative, fast-paced environment where your expertise is valued, and you have end-to-end ownership of critical systems. Compensation & Location: Base salary of up to $210,000 + equity + benefits, while working on-site with the team in a modern office in downtown San Francisco. The Role As a Python Backend Engineer, you will be instrumental in constructing the infrastructure that underpins these autonomous engineering agents. Your responsibilities will span model serving, simulation orchestration, multi-agent coordination, and the development of robust, developer-facing APIs. This position is critical for delivering the fast, reliable, and scalable systems that professional engineers will trust and depend on in high-stakes production environments. You will: Own and build the core backend infrastructure for the autonomous AI agents, focusing on scalability, model serving, and multi-agent orchestration. Design and maintain robust APIs while integrating essential third-party tools like CAD software and simulation backends into the core platform. Develop backend services to process and serve complex 3D visualizations from simulation and geometric data. Collaborate across ML, frontend, and simulation teams to shape the product and engage directly with early customers to drive infrastructure needs. Make foundational architectural decisions that will define the technical future and scalability of the entire platform. The Essential Requirements Strong backend software engineering experience, with a primary focus on Python. Proven experience in designing, building, and maintaining production-level APIs (FastAPI preferred but Flask and Django also considered). Experience with 3D visualization libraries or tools such as PyVista, ParaView, or VTK. Excellent systems-thinking skills and the ability to reason about the interactions between compute, data, and models. Experience working in fast-paced environments where end-to-end ownership and proactivity are essential. Exceptional communication and collaboration abilities. What Will Make You Stand Out Experience integrating with scientific or engineering software (such as CAD, FEA, or CFD tools). Exposure to agent frameworks, workflow orchestration engines, or distributed systems. Familiarity with model serving frameworks (e.g., TorchServe, Triton) or simulation backends. Previous experience building developer-focused tools or working in high-trust, customer-facing technical roles. If you are interested in this role, please apply with your resume through this site. SEO Keywords for Search Python Backend Engineer, Python Software Engineer, Backend Engineer, Software Engineer, Python Developer, AI Engineer, Machine Learning Infrastructure, MLOps Engineer, Backend Software Engineer (Python), Senior Backend Engineer, AI/ML Engineer, Infrastructure Engineer, FastAPI Developer, PyVista, ParaView, VTK, 3D Visualization, Docker, Kubernetes, Cloud Engineer, AI Platform Engineer, Distributed Systems Engineer, Simulation Software Engineer, CAD Integration, CFD, FEA, Scientific Computing, High-Performance Computing (HPC), Agent Frameworks, Workflow Orchestration, Technical Lead, Staff Engineer. Disclaimer Attis Global Ltd is an equal opportunities employer. No terminology in this advert is intended to discriminate on any of the grounds protected by law, and all qualified applicants will receive consideration for employment without regard to age, sex, race, national origin, religion or belief, disability, pregnancy and maternity, marital status, political affiliation, socio-economic status, sexual orientation, gender, gender identity and expression, and/or gender reassignment. M/F/D/V. We operate as a staffing agency and employment business. More information can be found at attisglobal.com.

Granica is redefining how enterprises prepare and optimize data at the most fundamental layer of the AI stack-where raw information becomes usable intelligence. Our technology operates deep in the data infrastructure layer, making data efficient, secure, and ready for scale. We eliminate the hidden inefficiencies in modern data platforms-slashing storage and compute costs, accelerating pipelines, and boosting platform efficiency. The result: 60%+ lower storage costs, up to 60% lower compute spend, 3× faster data processing, and 20% overall efficiency gains. Why It Matters Massive data should fuel innovation, not drain budgets. We remove the bottlenecks holding AI and analytics back-making data lighter, faster, and smarter so teams can ship breakthroughs, not babysit storage and compute bills. Who We Are World-renowned researchers in compression, information theory, and data systems Elite engineers from Google, Pure Storage, Cohesity, and top cloud teams Enterprise sellers who turn ROI into seven‑figure wins. Powered by World-Class Investors & Customers $65M+ raised from NEA, Bain Capital, A* Capital, and operators behind Okta, Eventbrite, Tesla, and Databricks. Our platform already processes hundreds of petabytes for industry leaders Our Mission: We're building the default data substrate for AI, and a generational company built to endure. Smarter Infrastructure for the AI Era: We make data efficient, safe, and ready for scale-think smarter, more foundational infrastructure for the AI era. Our technology integrates directly with modern data stacks like Snowflake, Databricks, and S3-based data lakes, enabling: 60%+ reduction in storage costs and up to 60% lower compute spend 3x faster data processing 20% platform efficiency gains Trusted by Industry Leaders Enterprise leaders globally already rely on Granica to cut costs, boost performance, and unlock more value from their existing data platforms. A Deep Tech Approach to AI We're unlocking the layers beneath platforms like Snowflake and Databricks, making them faster, cheaper, and more AI-native. We combine advanced research with practical productization, powered by a dual-track strategy: Research: Led by Chief Scientist Andrea Montanari (Stanford Professor), we publish 1-2 top-tier papers per quarter. Product: Actively processing 100+ PBs today and targeting Exabyte scale by Q4 2025. Backed by the Best We've raised $60M+ from NEA, Bain Capital, A Capital, and operators behind Okta, Eventbrite, Tesla, and Databricks. Our Mission To convert entropy into intelligence, so every builder-human or AI-can make the impossible real. We're building the default data substrate for AI, and a generational company built to endure beyond any single product cycle. WHAT YOU'LL DO This is a deep systems role for someone who lives and breathes distributed infrastructure, understands how data moves at scale, and wants to build the next-generation AI data platform from the ground up. Own the ACID backbone. Design and harden transactional layers and metadata services so that petabyte-scale tables can time-travel in microseconds and schema evolution becomes a non-event. Turn metadata into rocket fuel. Build compaction, caching, and pruning services that keep millions of file pointers within 50 ms from lookup to plan. Squeeze more signal per byte. Optimize data layouts-from column ordering to dictionary and bit-packing, bloom filters, and zone-map indexes-to cut scan I/O by 10× on real-world workloads. Ship adaptive indexing with research. Co-invent machine-driven indexes that learn access patterns and automatically re-partition nightly-no more manual “analyze table” ever again. Scale the engine, not the babysitting. Write Spark, Flink, or batch pipelines that autoscale across S3, GCS, and ADLS; expose observability hooks; and survive chaos drills without triggering a pager storm. Code for longevity. Write clean, test-soaked Java, Scala, Go, or C++. Document key invariants so future teams can extend the system-instead of rewriting it. Measure success in human latency. If analysts see their dashboards refresh in blink-level time, you've won. Publish your breakthrough and mentor the next engineer to raise the bar again. WHAT WE'RE LOOKING FOR You've built systems where performance, resilience, and clarity of design all matter. You thrive at the intersection of infrastructure engineering and applied research, and care deeply about both how something works and how well it works at scale. Core Skills Distributed Systems and Storage Fundamentals - consistency, replication, sharding, durability, transactions. Columnar Storage Optimization - deep knowledge of Parquet or similar formats (column ordering, compression, zone maps). Metadata and Indexing Systems - experience building metadata-driven services, compaction, caching, and adaptive indexing. Distributed Compute at Scale - production-grade Spark/Flink or equivalent pipeline development across S3, GCS, or ADLS. Programming for Scale and Longevity - strong coding in Java, Scala, Go, or C++, with clean testing and documentation practices. Resilient Systems and Observability - you've built systems that survive chaos drills and expose the right metrics. Desired Skills Exposure to open table formats such as Apache Iceberg, Delta Lake, or Hudi. Experience with catalog services, query planning, or compaction frameworks. OSS contributions or published work in data infrastructure or distributed systems. WHY JOIN GRANICA If you've helped build the modern data stack at a large company-Databricks, Snowflake, Confluent, or similar-you already know how critical lakehouse infrastructure is to AI and analytics at scale. At Granica, you'll take that knowledge and apply it where it matters most…at the most fundamental layer in the data ecosystem. Own the product, not just the feature. At Granica, you won't be optimizing edge cases or maintaining legacy systems. You'll architect and build foundational components that define how enterprises manage and optimize data for AI. Move faster, go deeper. No multi-month review cycles or layers of abstraction-just high-agency engineering work where great ideas ship weekly. You'll work directly with the founding team, engage closely with design partners, and see your impact hit production fast. Work on hard, meaningful problems. From transaction layer design in Delta and Iceberg, to petabyte-scale compaction and schema evolution, to adaptive indexing and cost-aware query planning-this is deep systems engineering at scale. Join a team of expert builders. Our engineers have designed the core internals of cloud-scale data systems, and we maintain a culture of peer-driven learning, hands-on prototyping, and technical storytelling. Core Differentiation: We're focused on unlocking a deeper layer of AI infrastructure. By optimizing the way data is stored, processed, and retrieved, we make platforms like Snowflake and Databricks faster, more cost-efficient, and more AI-native. Our work sits at the most fundamental layer of the AI stack: where raw data becomes usable intelligence. Be part of something early-without the chaos. Granica has already secured $65M+ from NEA, Bain Capital Ventures, A* Capital, and legendary operators from Okta, Tesla, and Databricks. Grow with the company. You'll have the chance to grow into a technical leadership role, mentor future hires, and shape both the engineering culture and product direction as we scale. COMPENSATION & BENEFITS Competitive salary and meaningful equity Unlimited PTO + quarterly recharge days Premium health, vision, and dental Team offsites, deep tech talks, and learning stipends Help build the foundational infrastructure for the AI era Granica is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Pay: $75,000.00 - $90,000.00 per year The Test Engineer I is an entry-level position responsible for supporting system testing in a production environment. Under close supervision, the engineer assists in executing automated test scripts, validating server hardware and software configurations, reviewing test results, and maintaining test infrastructure. This role focuses on developing basic troubleshooting skills and gaining familiarity with testing tools, platforms, and procedures. The Test Engineering team plays a vital role in the manufacturing process by ensuring server and system-level products meet performance, quality, and reliability standards before packaging. Positioned between assembly and final shipment, the team develops and executes testing strategies based on customer Manufacturing Test Requirement Documents or custom validation scripts. Their responsibilities span functional testing, failure analysis, infrastructure maintenance, and continuous yield improvement. The team collaborates closely with internal departments and global R&D teams to support both high-volume production and new product introduction (NPI). Duties Execute automated test scripts under supervision to validate server functionality, firmware, and system-level configurations. Assist in test log review and help identify deviations from expected results; escalate issues for further analysis. Support routine test station setup and basic maintenance tasks within a Linux-based environment. Participate in troubleshooting efforts by gathering data and following structured test procedures. Contribute to the documentation of test results, anomalies, and corrections under guidance. Learn to use standard tools and systems including Python-based scripts, PXE boot process, and automated test networks. Collaborate with senior engineers to support New Product Introduction (NPI) readiness tasks, such as script validation and test plan execution. Observe and learn debugging processes related to test failures; support data collection and reporting. Maintain version control of test scripts and log documentation with oversight. Required Skills/Abilities: Basic understanding of computer systems, Linux commands, and network fundamentals. Familiarity with Python or other scripting languages preferred. Willingness to learn test automation frameworks and follow detailed technical instructions. Ability to work effectively in a fast-paced, team-oriented manufacturing environment. Strong attention to detail and eagerness to follow testing protocols accurately. Effective communication skills for reporting issues and requesting clarification. Education and Experience: Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field. Internship or academic project experience in systems testing, automation, or scripting is a plus. Physical Requirements: Prolonged periods of sitting at a desk and working on a computer. Ability to access and navigate various departments within the organization's facilities

About Us At Autonomous Healthcare, we are at the forefront of medical innovation, developing the next generation of devices that will revolutionize patient care. Our mission is to commercialize breakthrough medical technologies by leveraging cutting-edge AI and autonomous systems. We believe that the best solutions are built together, and we are looking for a key member to join our collaborative R&D team. About the Role We are seeking a highly motivated and skilled engineer to join our team in developing next-generation patient monitoring systems. This role is at the intersection of computer vision, signal processing, and high-performance software engineering. You will be responsible for building the core analytical engine that transforms raw depth-sensor video into actionable health information. This is not a purely theoretical position. You will be hands-on, designing algorithms that are efficient enough for real-time applications and robust enough for real-world clinical use. You will write the production-level Python code that brings these algorithms to life on cutting-edge edge computing platforms. If you are a problem-solver who thrives on analyzing complex sensor data and building tangible, high-performance systems, we want to hear from you. Key Responsibilities Develop and implement real-time computer vision algorithms in Python to detect, track, and analyze regions of interest from video data (specifically depth sensors). Design and build signal processing pipelines to extract, filter, and interpret physiological movement data from sensor signals. Optimize algorithms for performance to meet strict real-time processing requirements. Deploy and validate analysis software on edge computing platforms with GPU acceleration (e.g., NVIDIA Jetson). Collaborate in a multidisciplinary team to integrate your solutions into a complete monitoring product. Rigorously test, debug, and document your code and algorithms. Required Qualifications Strong proficiency in Python and experience writing clean, efficient, and maintainable code. Solid foundation in computer vision principles and hands-on experience with libraries like OpenCV. Solid foundation in digital signal processing (e.g., filtering, time-series analysis, feature extraction) and experience with libraries like SciPy or NumPy. B.S. or M.S. in Computer Science, Robotics, Electrical Engineering, Biomedical Engineering, or a related technical field. Demonstrable experience in analyzing imaging or sensor data to solve complex problems. Excellent problem-solving skills and the ability to work independently and as part of a team. Preferred Skills (We'd love to see these) Experience with high-performance edge computing platforms (e.g., NVIDIA Jetson). Familiarity with GPU programming (e.g., CUDA, TensorRT) for accelerating algorithms. A background in robotics, autonomous vehicles, or real-time analysis of sensor data (e.g., LiDAR, RADAR, IMU). Experience with depth sensors, 3D data processing, or point cloud analysis. Knowledge of machine learning or deep learning frameworks (e.g., PyTorch, TensorFlow) for vision or time-series tasks. Familiarity with software development best practices (e.g., Git, unit testing, CI/CD).

Socionext America Inc. (SNA) Socionext Inc., world's second largest fabless semiconductor company, designs, develops and delivers leading edge System-on-Chip cusom silicon solutions to global customers. The company is focused on datacenter compute server, networking, storage, artificial intelligence, automotive and industrial automation market segments that drive today's leading-edge services and applications. Socionext combines world-class expertise, deep enterprise class product development experience, and an extensive IP portfolio to provide differentiating solutions. Socionext Inc. is headquartered in Shin-Yokohama, and has offices in Japan, United States, Europe and Asia. We are seeking a Marketing Manager for our Data Center business with a background as an Applications Engineer. The primary responsibilities include but are not limited to: Create Data Center market technologies inflexion insights Develop Market Requirements Document (MRD) by engaging with market leading customers and capturing technology needs, systems roadmaps Study emerging market and industry technology trends Develop datacenter business opportunities and win strategies Advocate IP offerings roadmap to customers and collect feedback Working closely with management to drive all phases of customer design wins and execution Requirements for this position : Bachelor's Degree in EE, Masters preferred 5+ years of successful experience in marketing and closing business 8+ years of experience with data center networking, storage and server products (knowledge of data center interconnects) Must have experience in networking and storage industry. In depth knowledge of Storage applications is required. Familiarity with solid state storage is a plus. Requires an excellent understanding of ASIC design and manufacturing flows, including a good grasp of the competitive landscape Knowledge required - ASIC Marketing, CNICs/HBAs, PCIe, NVMe, Flash, SSD, SATA, SAS, iSCSI Ability to guide products through development, including the definition and trade off analysis of architectures and new features for the components required for Data Center ASIC Ability to lead with varied goals and objectives to achieve business unit's direction and purpose Ability to use financial tools such as ROI and NPV analysis to build business cases. Teamwork, dedication, strong communications and interpersonal skills Some travel ~10%

We're a fast-moving Series A startup on a mission and we're looking for a Compiler Engineer who can turn cutting-edge ideas into blazing-fast reality. If you live and breathe compilers, know your way around low-level codegen, and love squeezing every last drop of performance from hardware, this is your moment. What You'll Bring 4+ years crafting compilers, with deep mastery of algorithms and data structures Hands-on expertise in low-level code generation, object file manipulation, and target-specific optimizations Serious C/C++ chops Clear communicator, strong doc writer, detail-driven, and always team-first Bonus Points MS/PhD in CS/CE/EE Familiarity with instruction selection, register allocation, dominance, def-use, calling conventions, linking & relocations LLVM experience Loop optimization wizardry (vectorization, unrolling, fusion, parallelization) Why Us? You won't be a cog. You'll be a cornerstone. Own major pieces of the toolchain, shape architecture decisions, and ship tech that pushes the boundaries of what's possible. If you want to build boldly, optimize ruthlessly, and leave your fingerprints on the future, we want to meet you.

Responsibilities Build machine learning models with time-series data for forecasting the future location of vehicles, bikes, pedestrians, including data collection, model design and training and deployment. Build interactive models to capture the interactive behavior among multiple actors. Design seamless interface to support both upstream perception team and downstream planning team. Design and build prediction module performance evaluation system, to quantify system improvements. Interact with operations team to provide guidance for in-vehicle testing for prediction. Qualifications M.Sc. in Computer Science, Electrical Engineering, Mathematics or a related field. 5+ years of experience with hands-on experience in machine learning projects. Strong C++ and/or Python programming skills required. ML Framework Options: CUDA C/ PyTorch/ONNX/TensorRT. Preferences M.Sc. or Ph.D. in computer vision, machine learning, robotics, or a related field. Extensive experience in deep learning. Industry research or production experience. Publications at top-tier conferences, e.g. CVPR, ICCV, ECCV, ICLR, ICML, ICRA, RSS, NeurIPS, AAAI, IJCV, and PAMI.

We are seeking a skilled and motivated Java Developer to join our software engineering team. The ideal candidate will be instrumental in designing, developing, and maintaining high-performance, scalable Java applications that require complex data management across both relational (SQL) and non-relational (NoSQL) databases. Proven experience as a Java Developer, with 3-8 years of hands-on experience in software development. Strong proficiency in Core Java and object-oriented programming (OOP) principles. Extensive experience with Java frameworks, particularly the Spring ecosystem (Spring Boot, Spring MVC, Spring Data JPA). Proficiency in database technologies, including writing complex queries for SQL (e.g., MySQL, PostgreSQL) and working knowledge of NoSQL databases (e.g., MongoDB). Experience with building RESTful APIs and understanding microservices architecture. Familiarity with version control systems (Git) and build tools (Maven/Gradle). Knowledge of front-end technologies (HTML, CSS, JavaScript) is a plus. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes) is preferred.

We are actively searching for a Founding Protocol Engineer to join our team on a permanent basis. In this position you will If you are someone that is impressed with what Hyperliquid has accomplished then this role is for you. We are on a mission to build next generation lending and debt protocols. We are open to both Senior level and Architect level candidates for this role. Your Rhythm: Drive the architecture, technical design, and implementation of our lending protocol. Collaborate closely with researchers to validate and test designs Collaborate with auditors and security engineers to ensure safety of the protocol Participate in code reviews, providing constructive feedback and ensuring adherence to established coding standards and best practices Your Vibe: 5+ years of professional software Engineering experience 3+ years of experience working in Solidity in EVM in production environments, specifically focused in DeFi products 2+ years of experience working with a modern backend languages (Go, Rust, Python, etc) in distributed architectures Experience building lending protocols in a smart contract language Open to collaborating onsite a few days a week at our downtown SF office Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!

About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters. We're hiring Backend Software Engineer - Cloud Services in Sunnyvale, CA . What You'll Do Take full ownership of your services: drive the design, contribute new features, participate in peer reviews, and deliver production-ready solutions. Develop software primarily in Java and Python. Work with Kubernetes or be willing to quickly ramp up on container orchestration. Own end-to-end responsibility for major features and subsystems-from refining requirements to successful deployment in customer environments. Manage operational health of your services, including telemetry, metrics, and rapid production issue detection. Ensure high code quality through early testing, functional verification, and integration testing. Collaborate closely with Product Management to clarify scope, finalize requirements, and plan delivery. What You'll Bring Bachelor's degree in Computer Science or similar field (Master's preferred). 3+ years of experience building scalable, distributed systems. A strong passion for building software, learning new technologies, and collaborating in a team environment. Hands-on experience with AWS, Azure, or GCP, particularly at the programming/API level. Background in networking or security is a plus. Proficiency in Java and/or Python, with familiarity using REST APIs. Experience with CloudFormation or Terraform is beneficial. Knowledge of Spring or similar backend frameworks. Understanding of Kubernetes, Docker, and containerized environments is helpful. Familiarity with classic Gang of Four design patterns. Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment

Senior Data Centre Field Engineer - Bay Area (Frequent International Travel) | 12-Month Contract | 1099 or C2C Our client, a leading technology consultancy specialising in large-scale infrastructure deployments, is seeking an experienced Senior Data Centre Field Engineer to join their team on a 12-month contract. This position is based in the Bay Area and involves frequent international travel to client sites. This role will suit a highly skilled and self-driven field engineer with deep experience in data centre infrastructure, structured cabling, and enterprise network deployments. You will lead complex field projects, mentor junior engineers, and ensure that every installation meets the highest technical and quality standards. Role Overview As a Senior Data Centre Field Engineer, you will: Lead infrastructure deployment projects across data centre, enterprise, and retail environments, ensuring all deliverables are completed to scope, on time, and to a high standard. Pull, terminate, and test Cat6/6a and fibre structured cabling systems. Rack, stack, and configure network equipment; decommission legacy devices and patch cables as required. Deploy fully built racks into data centres and enterprise spaces, completing cross-connects and final cabling. Install and test Wireless Access Points, ensuring high-quality terminations and documentation. Partner with internal teams or local field engineers on complex, multi-site deployments. Mentor and support less experienced colleagues, sharing best practices and technical knowledge. Serve as a trusted on-site advisor, maintaining both client and internal standards throughout all project phases. Provide as-built and redline documentation updates to ensure engineering records remain current and accurate. Conduct post-project reviews, sharing lessons learned to continually improve delivery quality. Review project scopes, BOMs, and schedules using internal tools, identifying and escalating potential issues early. Stay current with emerging network technologies - routing, switching, Wi-Fi, firewalls, compute, storage, AV, power, and cabling. Represent the consultancy with professionalism, identifying potential business opportunities and maintaining strong client relationships. Required Skills & Experience 5+ years' experience delivering complex data centre or enterprise infrastructure projects for large customers (preferably via a VAR or systems integrator). Proven expertise in structured cabling, including fibre and copper installation, testing, and certification. Hands-on experience using tools such as Fluke testers, OTDRs, network analysers, and wire mapping tools. Ability to read and interpret MOPs, cable run lists, patch plans, and schematics. Strong troubleshooting and fault-finding skills within high-pressure, mission-critical environments. Proficiency with Unix/Linux CLI, network configuration, firmware installation, and device provisioning. Experience analysing wireless survey reports (e.g., Ekahau, Airmagnet, Hamina) and advising on signal remediation. Excellent customer-facing, communication, and documentation skills. Self-starter with strong organisational discipline and the ability to manage multiple concurrent projects. Certifications & Education Cabling certifications (e.g., CNCI, BTEC, City & Guilds, BICSI) desirable. CCNA or CWNA certification (or equivalent demonstrable knowledge) preferred. Contract Details Location: Bay Area, CA (frequent international travel required) Contract Type: 12-Month Contract (1099 or C2C) Client Type: Technology Consultancy Start Date: ASAP Compensation: Competitive day rate, based on experience If you are an experienced Senior Data Centre Field Engineer who thrives in hands-on environments and enjoys leading complex deployments, this is an excellent opportunity to join a forward-thinking consultancy working with some of the most respected clients in the industry.

Salary: upto $400k cash + Equity & Bonus Reports to: CEO Team: Robotics & Systems Engineering As Head of Physical Systems & Robotics, you will own the vision and execution for physical infrastructure, from robotic hardware and manipulation systems to controls, perception, and high-throughput experimental platforms. You will lead multi-disciplinary teams to deliver physically capable, autonomous systems that integrate closely with AI and simulation teams. Key Responsibilities Technical Vision & Strategy: Define and drive the roadmap for robotics, automation, and physical system platforms. Team Leadership & Growth: Build and lead teams across robotics, controls, perception, systems integration, and hardware engineering. System Architecture: Establish robust hardware/software architectures for complex physical systems. Integration & Collaboration: Work with AI, simulation, and software teams to ensure seamless integration between algorithms and physical execution. Operational Excellence: Implement best practices for reliability, maintainability, safety, and scalability of robotic platforms. Hands-On Innovation: Balance leadership with technical involvement in prototypes, design reviews, hardware selection, and validation. Risk & Safety: Set standards for safety, testing protocols, fault tolerance, and regulatory compliance. Qualifications MS/PhD in Robotics, Mechanical Engineering, Electrical Engineering, or related fields. 10+ years of engineering leadership in building and scaling complex robotic or automated systems. Experience owning end-to-end physical systems, including motion planning, controls, perception integration, and hardware/software co-design. Strong track record of cross-disciplinary collaboration with AI researchers and software engineers. Excellent communicator and leader capable of motivating and aligning engineering teams. Bonus Points Experience with high-throughput or autonomous experimental platforms. Prior work with digital twin or simulator environments tied to physical hardware.