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A globally leading consumer device company headquartered in Cupertino, CA is looking for Operations Program Manager responsible for leading qualification of new components, modules, and processes for shipping products. The role will partner closely with Engineering, GSM, Operations teams and CMs to establish qualification plans, timelines, benchmarks, and risk mitigation strategies. • Responsibilities:Drive cross-functional alignment across teams, • Coordinate build readiness and execution with OEM partners, • Lead executive communications, • Report KPI metrics through dashboards, • Qualifications:5+ years of experience in operations, program management, manufacturing, process engineering, or product development, • Bachelor’s degree in an Engineering field required, • Strong program management skills, • Cross-functional leadership experience, • Risk management experience, • Executive communication skills, • Experience with SQL, Tableau, or Python is a plus

Title: Customer Insights Analyst – Retail & Experience Analytics (Contract) Pay Rate: $59 - $63/hr Location: Cupertino, CA (Hybrid) Duration: 12-month assignment Hours: Full-Time Summary: We are seeking a data-driven Customer Insights Analyst to support a global retail organization in delivering actionable, customer-centric insights. In this role, you will analyze customer feedback and behavioral data to uncover trends, inform business decisions, and enhance customer experiences. You will work within a fast-paced, collaborative team focused on amplifying the voice of the customer through data. The ideal candidate is highly analytical, skilled in storytelling, and comfortable working with large datasets to drive meaningful insights and recommendations. What You’ll Do: • Analyze quantitative data and qualitative customer feedback from ongoing survey programs, • Synthesize data from multiple sources to identify trends, patterns, and actionable insights, • Transform complex datasets into clear, compelling narratives for stakeholders, • Develop presentations and communications tailored to various audiences, including leadership and frontline teams, • Present findings and recommendations through reports, meetings, and presentations, • Support custom research and analytics projects to inform customer experience strategies, • Collaborate with cross-functional teams to align insights with business objectives What You Bring: • 3–5 years of experience in data analysis, market research, or a related quantitative field, • Strong proficiency in SQL for querying and manipulating large datasets (Snowflake experience preferred), • Experience building dashboards and visualizations using Tableau or similar tools, • Solid foundation in research methods, statistics, and survey data analysis, • Strong ability to translate complex data into clear, actionable insights, • Experience working in ambiguous environments and structuring open-ended problems, • Strong project management and time management skills, • Excellent communication and presentation skills Bonus Points If You Have: • Experience with Python or R for statistical analysis or text mining, • Experience analyzing open-ended survey feedback, • Experience supporting global or multi-region programs, • Background in retail, technology, or customer experience analytics, • Advanced Excel skills for data analysis and formatting TCWGlobal is an equal opportunity employer. We do not discriminate based on age, ethnicity, gender, nationality, religious belief, or sexual orientation. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Mid-Senior Algorithm Engineer | Motion Planning & Decision Making Imagry is looking for a talented Algorithm Engineer (Mid-Senior level) to join our team in San Jose, CA, US. Responsibilities: In this role, the focus is on developing cutting-edge motion planning and decision-making algorithms for autonomous vehicles. This position offers a clear growth path toward team leadership. Full-Time, On-Site in San Jose, CA, US. Requirements: • Experience: At least 3 years of hands-on experience as an Algorithm Engineer, • Education: M.Sc. (or equivalent) in Computer Science, Electrical Engineering, Physics, or a related quantitative field from a top-tier university, • Outstanding B.Sc. graduates from leading universities are also encouraged to apply!, • Technical Expertise: Proven experience in one or more of the following fields: Motion Planning, Decision Making, Optimization, Reinforcement Learning, Guidance, or LLM Fine-tuning, • Coding Skills: Proficiency in both Python and C++ (at a code-review standard), • Bonus Points: Previous experience within a multi-disciplinary R&D team in robotics or autonomous systems

JOB DESCRIPTION Insight Global is hiring 4 Software Engineers for a healthcare client in San Jose, CA. As a Software Engineer, you will play a key role in shaping and implementing the technology strategy across software delivery teams. You will architect and develop scalable, resilient, and reusable software solutions that accelerate delivery and improve engineering efficiency. This role requires a deep understanding of modern software engineering patterns, a strong desire to mentor others, and a passion for elevating engineering practices. You will work closely with product, architecture, and engineering leadership to translate business objectives into actionable technical solutions. Through hands-on design sessions, technical prototyping, and code reviews, you will influence engineering behaviors and help establish high standards for quality, security, performance, and maintainability. Your work will directly impact the organization’s ability to achieve long-term strategic goals. Essential Job Functions • Design, develop, test, deploy, monitor, and continuously improve backend services and APIs using modern engineering practices. • Build scalable, maintainable, reusable components (libraries, patterns, frameworks, tooling) that address cross-cutting needs across multiple delivery teams. • Collaborate with product and design to translate product concepts into technical designs and incremental deliverables that provide frequent, high-quality customer value. • Partner with architecture to help establish, document, and advocate for technical standards, design patterns, and best practices. • Participate in and help lead technical design sessions, spike investigations, and architecture reviews, ensuring alignment with long-term platform strategy. Influence engineering behaviors through hands-on design sessions and code reviews, and mentor engineers to strengthen team capability. REQUIRED SKILLS AND EXPERIENCE • Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related technical field; advanced degrees preferred. • 5+ years of professional software engineering experience with a strong backend emphasis • Strong proficiency building backend services and APIs, with experience in C# and .NET Core / ASP.NET Core preferred • Experience designing and supporting production services (availability, observability, performance, maintainability). • Hands-on experience with CI/CD concepts and tooling (build/release pipelines, automated tests, quality gates). • Working experience in cloud environments, with Azure strongly preferred. • Exposure to AI-enabled development tools, code generation models, or ML-driven insights (e.g., Copilot, embedding models, vector search). NICE TO HAVE SKILLS AND EXPERIENCE • Engineers with diverse technology stack experience - particularly "polyglot engineers" with experience across multiple languages and platforms (Java, Golang, Python, and/or C#, .Net etc) • Open to candidates with AWS Cloud and Python experience, especially those who have worked on AI‑enabled or AI‑assisted development

Hiring: Board Bring-Up & DVT Engineer Location: San Jose - Onsite Duration: 12 Months Experience: 5–10 Years Role Overview: We are looking for a Board Bring-Up & Design Validation (DVT) Engineer to support hardware validation and debugging for complex PCB designs. The ideal candidate will have strong experience in board bring-up, high-speed interfaces, and cross-functional collaboration. Key Responsibilities Board Bring-Up & Debug • Lead first power-on, early bring-up, and stabilization of complex boards, • Validate power sequencing, voltage rails, clocks, resets, and boot paths, • Debug board-level issues using schematics, layout, datasheets, and lab tools, • Develop and execute DVT test plans (functional, electrical, performance, stress), • Validate high-speed interfaces: PCIe Gen4/Gen5, Ethernet, SerDes, DDR/LPDDR, optical modules, OAM, • Perform corner testing (voltage, temperature, frequency, load), • Partner with Firmware, BIOS, BMC, and Driver teams during bring-up, • Support FPGA/SoC configuration, boot flow, and debug (JTAG, UART, I2C, SPI), • Strong experience in board bring-up and hardware debugging, • Hands-on with high-speed interfaces and signal validation, • Familiarity with lab equipment (oscilloscopes, analyzers, etc.), • Experience working with cross-functional engineering teams

Embedded Firmware Engineer - C2000 DSP Low-Level Device Drivers and Real-Time DSP Development Position Overview We are seeking an experienced Embedded Firmware Engineer to develop and maintain low-level firmware for TI C2000 Digital Signal Processors (DSP). This role involves designing real-time control algorithms, developing device drivers, and optimizing firmware performance for power electronics applications. The ideal candidate will have deep expertise in embedded C development, DSP architecture, and low-level hardware abstraction. Primary Responsibilities • Develop and maintain firmware for TI C2000 DSP family (F28xxx series) using C and assembly language, • Design and implement low-level device drivers for peripherals including PWM, ADC, SPI, I2C, CAN, and UART interfaces, • Develop hardware abstraction layers (HAL) to simplify application-level software development, • Implement and optimize real-time control algorithms for digital power conversion and motor control applications, • Write efficient DSP math library functions leveraging C2000 CPU and floating-point capabilities, • Optimize firmware for performance, memory footprint, and power consumption, • Debug firmware using CCS (Code Composer Studio) and in-circuit debugging tools, • Conduct unit testing, integration testing, and field validation of firmware implementations, • Maintain comprehensive firmware documentation, including design specifications and API documentation, • Collaborate with hardware engineers and systems architects on embedded system design Required Qualifications • Bachelor’s degree in Electrical Engineering, Computer Science, Computer Engineering, or related field, • 5+ years of professional experience developing embedded firmware in C, • Hands-on experience with Texas Instruments C2000 DSP processors (F28xxx family), • Strong proficiency with embedded development tools including Code Composer Studio (CCS), • Experience developing device drivers for peripherals (ADC, PWM, SPI, I2C, CAN, UART), • Knowledge of DSP architecture, real-time processing concepts, and interrupt handling, • Proficiency with version control systems (Git, SVN, or equivalent), • Experience with debugging techniques and in-circuit emulation/JTAG debugging, • Ability to write clean, maintainable code with strong software engineering practices, • Strong problem-solving skills and ability to work both independently and collaboratively Preferred Qualifications • Experience with grid-connected power electronics and utility-scale inverter systems, • Knowledge of renewable energy systems (solar, wind) or energy storage applications, • Experience with real-time control systems and control theory implementation, • Familiarity with analog-to-digital conversion, signal conditioning, and measurement techniques, • Experience with RTOS (Real-Time Operating Systems) or baremetal firmware development, • Knowledge of C++ or other systems programming languages, • Familiarity with hardware design and ability to read schematics, • Background in power electronics, motor control, or power conversion systems Technical Skills • Languages: C, assembly language, basic Python scripting, • Microcontrollers/DSPs: TI C2000 series, microcontroller fundamentals, • Development Tools: Code Composer Studio, JTAG debuggers, oscilloscopes, logic analyzers, • Peripheral Interfaces: ADC, PWM, SPI, I2C, CAN, UART, GPIO, • Development Methodology: Version control, code documentation, unit testing, debugging practices Key Competencies • Technical Expertise: Deep knowledge of embedded systems, DSP architecture, and firmware development, • Problem-Solving: Systematic debugging approach and ability to solve complex firmware issues, • Code Quality: Commitment to writing clean, efficient, and maintainable firmware code, • Performance Optimization: Experience optimizing code for speed and memory efficiency, • Communication: Ability to document code, design, and share knowledge with team members, • Adaptability: Quick learner who can master new tools, platforms, and application domains

We are seeking a versatile and pragmatic Applied ML Engineer to contribute across a broad range of machine learning and perception tasks. This role requires someone comfortable wearing many hats—from working with computer vision and sensor fusion models to building lightweight inference pipelines, designing experiments, and fine-tuning model behavior in production. You’ll work closely with a cross-functional team spanning hardware, software, and product to deliver real-world AI solutions that are robust, efficient, and reliable under challenging field conditions. This is an ideal position for someone who thrives on variety, rapidly shifting problem domains, and turning rough ideas into deployed systems. Responsibilities: • Design, train, and evaluate models for tasks ranging from object detection and classification to anomaly detection and sensor-based inference., • Optimize model architectures and inference pipelines for performance on embedded/edge hardware under compute and bandwidth constraints., • Contribute to dataset development and labeling strategy, including data augmentation, synthetic data generation, and domain adaptation., • Support prototyping and experimentation across a variety of AI subfields, including computer vision, signal processing, and multi-modal fusion., • Implement real-time pipelines for processing sensor data on-device and in cloud environments., • Develop tools and scripts for benchmarking, data visualization, and debugging ML model performance., • Stay current with the latest research and tools in machine learning and evaluate their applicability to our product roadmap., • Participate in code reviews, team knowledge sharing, and internal technical documentation., • Must be eligible to obtain/maintain a security clearance. Qualifications: • Master’s or PhD in Computer Vision, Machine Learning, Robotics, or related field. Bachelors candidates considered on a case by case basis., • 4+ years of experience building and deploying machine learning models in production environments., • Proficiency in Python and experience with deep learning frameworks such as PyTorch or TensorFlow., • Comfortable working with a range of data types (images, time-series, geospatial, RF, etc.)., • Experience with edge or embedded ML deployments, including model compression and hardware-aware optimization., • Familiarity with common ML practices including cross-validation, hyperparameter tuning, and model monitoring., • Excellent debugging, experimentation, and problem-solving skills., • Strong collaboration and communication skills with both technical and non-technical team members., • Bonus: experience in maritime, aerospace, or other remote sensing domains., • 4 - 10 years of experience in applied machine learning, building and deploying production models. Pay range and compensation package: Salary $190K - $250K, Equity Competitive equity, Visa sponsorship not available. Equal Opportunity Statement: Hybrid work policy, Hybrid in Arlington, VA or San Francisco, CA. Full-time position, Location Arlington, VA, Boston, MA, San Francisco Bay Area, CA, San Diego, CA, Los Angeles. Tech stack: Python, PyTorch, TensorFlow, Computer Vision, Signal Processing, Edge ML, Embedded Systems, World Models.

Company Overview: “Always the Best, Always Fun!” DISCO Corporation is a global powerhouse in precision cutting, grinding, and polishing solutions, with a reputation for excellence across the semiconductor, medical devices, and electronic component industries. Headquartered in Tokyo, Japan, we are a forward-thinking company with a strong presence in 60+ locations worldwide with a diverse team of 7,000+ employees. Our success is driven by our core DISCO values that emphasize trust, continuous innovation, and an unwavering commitment to quality. At DISCO, we pride ourselves on fostering an inclusive culture where employees thrive, grow, and contribute to shaping the future of technology. DISCO Corporation’s U.S affiliate, DISCO Hi-Tec America, Inc. (DHA), is looking to expand our Technical Services team! We are currently people who bring fresh perspectives, new ideas, and unique skills to join us as a Process Application Engineer in our San Jose, CA office. Job Title: Process Application Engineer Job Type: Full Time, Onsite Location: San Jose, CA Salary: $55,000 – 65,000 This is a full-time position with benefits including Bonuses, Insurance (Medical, Dental, Vision, Life), Health Savings Account, 401(k), Paid Time Off, Paid Holidays. Key Responsibilities: • Use DISCO equipment to prototype, optimize, and troubleshoot precision processes in the areas of device grinding or singulation. Characterize processing results. Draw conclusions based on processing data. Deliver singulation or grinding processes that can be integrated into semiconductor fabrication process flows., • Design and perform grinding or singulation experiments for various materials based on input from DISCO’s clients, such as, semiconductor wafers, electronic packages, or medical device components. Understand DISCO equipment instrumentations during processing. Concisely summarize and analyze results, and compile technical documentation reports, • Troubleshoot complex challenges with limited supervision. Perform Root Cause Analyses to achieve fundamental understanding on defects, resulting in innovative solutions., • Generate technical reports, process documentations, operating procedures, and high-level summary presentations to the management, • Become a reliable consulting resource for customers. Interact with customers to understand overall fabrication integration, process control methodologies, and gain insights to product roadmaps, • Prototype new equipment hardware or software components for internal learning, • Participate and contribute to DISCO corporate activities focusing on continuous improvement, deeper thinking, and value exchange., • Perform additional tasks as assigned. Preferred Experience and Qualifications: • Bachelor of Science degree in engineering, physical sciences, industrial operations or relevant work experience, • General computer programming. Proficiency with Windows PC, • Business communication. Technical writing and presentation skills, • Materials science; solid state physics; semiconductor wafer fab processing experience, • Ability to handle fragile materials, • Comfortable standing and working in a lab or cleanroom environment, • Able to run statistical analysis, • High-level software/programming knowledge; C/C++/C#; SQL/Python; CAD is a plus, • Japanese language skill is a plus. Physical Requirements: • Job duties are mostly performed in cleanroom environment, sometimes in awkward positions., • Role involves a combination of remaining in a stationary position and moving about for extended periods., • May require bending, stooping, and working in varied physical positions to access hard to reach areas on equipment., • Lift and carry or otherwise move at least 30lbs., • Wear personal protective gear for extended periods and use proper safety procedure when working with delicate materials, hazardous chemicals, moving mechanical parts, etc. Interpersonal Skills: • Clear, concise, and effective communication skills to interact with colleagues, customers, and leadership., • A high degree of self-motivation and creativity, with the ability to perform under pressure, even in challenging situations., • A natural ability to build strong relationships, maintaining trust and teamwork within a global company, building upon DISCO’s culture to help build an inclusive work environment., • Willingness to lead peers on projects and act as a resource for colleagues. "We are not accepting unsolicited resumes from recruitment agencies." DISCO Hi-Tec America, Inc. is committed to Equal Employment Opportunity and diversity in its workforce without discrimination

Do the best work of your life PeopleReign is the agentic orchestration platform used by leading enterprises to automate IT and HR employee service. It reduces ticket volume by 65% and costs by 90%. The platform supports 90 languages, integrates with over 100 enterprise systems, and is pre-configured to handle all common service requests. Backed by leading investors such as John Chambers, Acadian Ventures, and Moxxie Ventures, PeopleReign has gained the trust of global organizations like Netflix and the New York City Metropolitan Transportation Authority. With a mission to help employees focus on skills like empathy and critical thinking, the company pioneered AI that gives every employee back four to six hours of productive time per week. We need you This is a full-time remote position for a Customer Success Engineer. Apply if you thrive in fast-paced environments and are prepared to be challenged by the world's best AI engineers and product leaders. As a Customer Success Engineer (CSE), you are the technical bridge between our product and our customers’ success. You aren't just a technical resource; you are a strategic advisor who loves the "aha!" moment of a successful deployment as much as the problem-solving process. This role is perfect for a developer who enjoys the challenge of configuring software to solve unique, real-world business problems. What we value • Exceptional Communication: Translate "engineer-speak" into "executive-speak" effortlessly. You are comfortable leading meetings, managing expectations, and diffusing technical frustrations with empathy., • JavaScript Proficiency: Significant experience writing and debugging JavaScript, specifically in the context of building integrations, webhooks, or automated workflows., • AI Concept Fluency: You have a solid grasp of modern AI terminology (RAG, vector databases, prompt engineering, etc.) and can explain these concepts clearly to non-technical customers. You don't need to build the models, but you must be able to explain how they work., • Python & Airflow Knowledge: Comfortable navigating Python environments and writing Airflow DAGs to manage task dependencies and data movement., • Problem-Solving Mindset: You enjoy the "puzzle" of fitting AI into a unique customer environment and aren't afraid to get your hands dirty in the code to make it happen. What you'll do • Strategic Communication: Act as the primary technical point of contact for high-value accounts. You will translate complex technical hurdles into clear, actionable business solutions for clients., • Integration & JavaScript Workflows: Your primary technical focus will be configuring PeopleReign to integrate with customers’ tech stacks and business logic., • Technical Consulting & AI Literacy: Serve as a subject matter expert who can demystify AI. You will explain concepts like LLMs, model differences, vector searches, and classification to help customers understand how to best leverage AI features., • Workflow Orchestration: Support customer data pipelines by configuring and maintaining Airflow DAGs., • Solution Configuration: Lead the custom configuration of our software for both new onboardings and existing high-value accounts., • Data Analysis: understand current customer usage patterns and identify areas of opportunity for future growth. Apply even if you don’t have every listed skill but you're uncommonly talented and insanely ambitious. We value diversity of thought and believe the best talent comes from many different backgrounds.

We are seeking a Senior/Staff Physical Design Engineer with deep expertise in top-level clock architecture and CTS implementation for advanced-node SoCs (5nm / 3nm / 2nm). The ideal candidate will have strong experience designing large-scale clock distribution networks including H-Tree, Mesh, and Hybrid architectures while driving ultra-low skew clock signoff. You will collaborate with Physical Design, STA, RTL, and Power teams to ensure robust clock quality and tapeout readiness. Key Responsibilities • Design and optimize top-level clock distribution architectures., • Implement and analyze:, • H-Tree, • Clock Mesh, • Hybrid Clock Structures, • Drive CTS for low skew and balanced latency., • Optimize clock power using advanced gating techniques., • Validate clock signal integrity and duty cycle distortion (DCD)., • Debug large-scale clocking issues across full-chip integration., • Collaborate with STA and PD teams for clock-timing convergence., • Develop scalable methodologies for clock signoff closure. Clocking / CTS • Clock Tree Synthesis (CTS), • H-Tree Architecture, • Clock Mesh, • Hybrid Clock Structures, • Duty Cycle Distortion (DCD), • Clock Skew Optimization, • Cadence Innovus, • Synopsys Fusion Compiler, • 5nm, • 3nm, • Tcl, • Python, • Perl

AI Data & Python Tools Engineer We're seeking an AI Data and Python Tools Engineer to develop and deploy intelligent tools that leverage big data infrastructure and modern AI architecture. This role combines strong software engineering fundamentals with the ability to build production-ready AI applications at speed, including integration with Model Context Protocol (MCP) systems. Responsibilities: • Develop and deploy AI-powered full-stack applications using Python, React, and modern machine learning frameworks, • Design and streamline data pipelines, train and validate ML models, and implement robust evaluation methods, • Collaborate with cross-functional teams to solve complex problems and integrate scalable, cloud-based AI solutions, • Rapidly prototype, test, and iterate on AI tools with a strong focus on performance, flexibility, and scalability, • Maintain clear technical documentation, perform code reviews, and support the full software development lifecycle Software Engineering & AI/ML Data, Tools Development • 3+ years of Python Development with a background in back end services and data processing, • Exposure to AI/ML algorithms, • Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn), • Understanding of LLMs, vector databases, and retrieval systems, • Experience with Model Context Protocol (MCP) integration and server development Big Data & Cloud Infrastructure • Knowledge of building and deploying cloud based applications, • Hands-on experience with cloud data platforms (AWS/GCP/Azure), • Proficiency with big data technologies (Spark, Kafka, or similar streaming platforms), • Experience with data warehouses (Snowflake, BigQuery, Redshift) and data lakes, • Knowledge of containerization (Docker/Kubernetes) and infrastructure as code *Preferred Experience • Experience building web applications with modern frameworks (React, Vue, or Angular), • API development and integration experience, • Basic UX/UI design sensibilities for internal tooling, • Experience with real-time data processing and analytics, • Background in building developer tools or internal platforms, • Familiarity with AI/ML operations (MLOps) practices (Experience using airflow), • Experience building MCP servers and integrating with AI assistants, • Knowledge of structured data exchange protocols and API design for AI systems. Type: Full Time Location: Austin, TX or Cupertino, CA (Monday- Friday onsite)

Title : Senior Financial Analyst Location : Remote but candidates in the San Francisco Bay Area preferred Duration : Initially 5 Months contract ( High possibility of extension ) W2 Contract only About the Role This role will serve as a strategic partner to Facilities, HR, Legal and G&A leadership, bringing financial rigor, transparency, and forward-looking insight across operating expenses, capital investments, and a complex global real estate portfolio. Responsibilities • Close & Accounting Partnership: Partner closely with Accounting and AP during monthly close cycles to ensure accuracy across accruals, prepaids, AR, and invoicing, and deliver timely and accurate close outputs. Deliver reporting for monthly and quarterly reviews, and lead ad hoc analyses as needed., • Spend Management & Business Partnership: Drive end-to-end financial management across G&A functions, including spend oversight and operational execution. Review and approve Purchase Requisitions (PRs), support PR clean-up, and partner with business teams on budget management, headcount inquiries, and contract economics in collaboration with Procurement., • Financial Planning & Modeling: Support Annual Operating Plan (AOP) with assumptions using driver based and recommending initial tops down targets. Develop and maintain integrated financial models across CapEx, lease accounting, facilities (rent/CAM), and operating spend. Assess three-statement impacts to drive capital efficiency and cash flow optimization, while providing site-level financial visibility and building a centralized data foundation (data lake) as a single source of truth., • Automation & Process Optimization: Support the automation and transformation of financial processes using SQL, Snowflake, Python, and AI tools to streamline workflows, improve scalability, and enhance reporting. Document and standardize processes (SOPs) across G&A Finance. Qualifications • Education: Bachelor’s degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience., • Experience: 3+ years of experience in Financial Planning & Analysis (FP&A), Cost Accounting, General Ledger (GL) accounting, or data analytics roles. Required Skills • Analytical Storytelling: You possess a mastery of financial modeling and the ability to synthesize massive datasets from tools like Snowflake, SQL, or Tableau into compelling narratives that drive executive action., • Strategic FP&A Expertise: You have a proven track record of navigating complex business-facing finance roles, specifically in designing investment frameworks or sales-incentive models within a fast-paced corporate environment., • Systems Agility: You are highly proficient in leveraging enterprise-level financial tools (such as Anaplan, SAP, NetSuite, or similar) and advanced spreadsheet functions to build scalable, automated reporting solutions., • Collaborative Leadership: You are a self-starter who excels at managing multiple high-priority workstreams simultaneously while building strong, trust-based relationships with cross-functional global stakeholders.

Do you thrive in a high-pressure environment - cutover weekends, 2 AM crisis calls, vendor conflicts? If yes, then BCI has the job for you!! We are seeking a hands-on Integration & Cutover Manager to lead the technical execution of a complex SAP S/4HANA implementation involving 15-20 system integrations (Workday, ADP, Concur, MuleSoft, IFS, Oanda, Dassian, SAC). This role is accountable for end-to-end integration testing, cutover simulation/dry runs, and flawless go-live execution. You will be the "single throat to choke" for integration coordination across 5+ vendor teams and internal IT/business stakeholders. Key Responsibilities Integration Testing & Coordination (40%) • Design and document 25+ end-to-end integration test scenarios across Workday → Entra ID → SAP → ADP → IFS → Concur ecosystem, • Build and maintain integration test execution dashboard (track pass/fail rates, defect aging, vendor accountability), • Coordinate daily integration testing sessions with vendor teams (Vantor SAP, Workday consultants, ADP, MuleSoft, Dassian), • Facilitate root cause analysis for integration failures, drive resolution with technical deep-dives (read logs, debug APIs, trace data flows), • Validate integration performance (latency, throughput, error rates) meets SLAs before cutover freeze, • Build comprehensive 120+ page hour-by-hour cutover playbook (Friday 6 PM → Monday 6 AM) with task owners, dependencies, rollback triggers, • Facilitate 2+ full cutover dry runs (simulate entire go-live weekend in test environment, capture timing/issues, refine runbook), • Define objective Go/No-Go criteria (50 measurable gates: data migration accuracy, integration success rates, smoke test results), • Document rollback procedures with step-by-step instructions to revert to legacy systems within 4 hours if cutover fails, • Lead 48-hour cutover war room (24/7 during go-live weekend), facilitating real-time triage and decision-making, • Track runbook adherence in real-time (digital checklist updated hourly, flag schedule slips immediately), • Coordinate vendor resources (ensure Vantor, MuleSoft, Workday, ADP on-call, escalate to vendor leadership if response slow), • Provide executive status updates every 2 hours (Green/Yellow/Red, issues encountered, mitigation actions), • Facilitate Sunday 4 PM Go/No-Go decision with steering committee (present objective data, risk assessment, recommendation), • Lead Week 1-2 post-go-live hypercare war room (daily 8 AM and 4 PM triage calls), • Monitor integration health dashboards (99.5%+ uptime target), escalate vendor support for P1/P2 incidents within SLA, • Track and resolve post-cutover defects (prioritize P1 payroll-blocking issues, coordinate vendor fixes), • Facilitate first full payroll cycle validation (SAP → ADP → bank deposits, ensure zero missed paychecks), • Mediate vendor conflicts when integration failures occur (prevent finger-pointing, drive collaborative problem-solving), • Facilitate weekly integration sync meetings (Vantor, MuleSoft, Workday, ADP, Dassian vendors + IT/business), • Escalate to vendor account executives if delivery quality poor or resources under-staffed, • Communicate integration status to business stakeholders (HR, Finance, Procurement) in non-technical terms Required Qualifications Must-Have Experience: • 7+ years managing complex system integrations (5+ systems) in ERP implementations (SAP, Oracle, Workday, or similar), • 3+ hands-on cutover executions as cutover manager/lead (not just participant—you owned the runbook and war room), • Deep technical fluency: Read API logs, debug integration errors, understand middleware (MuleSoft, Dell Boomi, Workato), speak fluent REST/SOAP/RFC, • Experience with HCM/Payroll integrations (Workday ↔ ADP or similar), understand criticality of payroll accuracy, • Proven ability to lead under pressure (48-hour cutover war room, make real-time decisions, stay calm when things break), • Integration platforms: MuleSoft (preferred), Dell Boomi, Informatica, or Workato, • Identity systems: Entra ID (Azure AD), Okta, Active Directory, SAML/OAuth 2.0, • SAP: Understand RFC, iDoc, OData, BAPI (don't need to code ABAP, but must read technical specs), • APIs: REST, SOAP, JSON, XML—can test APIs using Postman, read Swagger docs, • Databases: Write SQL queries for data validation/reconciliation, • Command presence: Can run a war room with 20 people, make decisions quickly, keep team focused, • Vendor management: Hold vendors accountable without damaging relationships, escalate appropriately, • Communication: Translate technical issues to executives ("integration latency" → "payroll at risk"), write clear status updates, • Bias for action: Don't wait for perfect information—make pragmatic decisions with 80% data, • Stress tolerance: Thrive in high-pressure environments (cutover weekends, 2 AM crisis calls, vendor conflicts) Preferred Qualifications • SAP S/4HANA implementation experience (understand FI, CO, MM, HR modules, know how data flows), • Workday HCM implementation experience (understand Workday data model, EIB, Studio, API frameworks), • PMP or similar project management certification, • Experience with SAP Analytics Cloud (SAC) or similar BI/analytics platforms, • Federal contractor experience (understand DCAA labor charging, ITAR data controls, SOX compliance), • Scripting/automation skills (Python, PowerShell for data validation, API testing automation)

Lead SoC Architect Acceler8 Talent is seeking a Lead SoC Architect to join a well funded startup whose hardware promises to drastically change the economics of compute for the worlds' largest models. With over $600m raised, and a world-class team with a track record of shipping highly successful products, this company abandons legacy chip design assumptions and strives for the best possible solution for every aspect of their chip - there is no such thing as "good enough". As Lead SoC Architect, you'll be responsible for translating product requirements into system-level designs, owning performance, power, and area trade-offs as well as end-to-end architectural specifications through productization. Qualifications: • 5+ years' experience in complex SoC architectures, • Excellent knowledge of memory systems and interconnect fabrics, including industry standards, • Experience owning PPA feasibility and driving power, performance, and area trade-offs with implementation teams, • Sound architectural judgment in driving trade-off decisions, • Excellent technical communication, documentation, and organizational skills, • Experience collaborating across hardware, software, and third-party IP teams, • Programming/scripting skills (verilog, bash, C/C++, python etc) If you're interested in building the future of AI compute, apply here or reach out to me at to discuss further.

Head of Engineering position with a Series A scale up who care about building 3D AI tools for the physical world. You'll be working alongside a deeply technical, mission driven teaming building the AI layer that future hard tech innovation will run on. They received $30m of Series A funding from the likes of A16z and are founded by second time CEO in this space. This is a high impact, hands on lead position shaping the core product and architecture of their intelligent design environment. You will design & build scalable full stack systems (python & react ideally) and architect the backend on AWS and modern data infrastructure. A key element of this role will be ownership and scale. This role blends product thinking, infrastructure depth, and applied AI integration, ideal for someone who has shipped complex production systems and enjoys turning technical capability into elegant user experiences. Comp 400k plus extra benefits Location: Hybrid - SF

Staff Data Scientist | Series A | VC - Backed AI Startup | Defense | Maritime Intelligence | The Company We’re partnering with a high-profile, Series A, VC-backed AI startup building the next generation of defense and maritime intelligence infrastructure. This team is developing a global sensor constellation powered by proprietary AI and robotics — delivering real-time visibility into maritime activity at a scale that hasn’t existed before. The Product Their platform deploys smart edge-compute systems across fishing vessels and maritime fleets worldwide — collecting video, GPS, and multi-modal sensor data in real time. That data is ingested, processed, and surfaced through a customer-facing platform — powering insights across illegal fishing detection, smuggling prevention, and maritime safety. Under the hood: • Distributed IoT systems at global scale, • Complex data pipelines across AWS + Azure (including gov cloud), • Real-time analytics + secure API infrastructure, • High-stakes environments with strict compliance requirements Why This Role Matters This isn’t another dashboarding role. As a Staff Data Scientist, you’ll sit at the core of the platform — turning massive, messy, high-dimensional sensor data into real-world intelligence. You’ll also play a critical role in building feedback loops for edge-deployed AI systems, directly improving how models perform in the wild. Why You Should Join? • Mission-driven impact — your work directly contributes to global security and saving lives at sea, • True 0→1 ownership — shape analytics architecture and influence product direction, • Cutting-edge problems — multi-sensor, time-series, geospatial data at scale, • Growth stage — strong revenue momentum + real product traction, • Flexible career path — stay as a high-impact IC or grow into leadership What You’ll Do • Analyze large-scale, real-world sensor data to uncover patterns, anomalies, and insights, • Build scalable analytics pipelines powering customer-facing intelligence products, • Partner with product + customer teams to translate complex operational problems into data solutions, • Identify model drift, failure modes, and performance gaps across deployed AI systems, • Design feedback loops for continuous learning and model improvement, • Build internal tools for visualization, experimentation, and metric tracking, • Define and refine metrics for evaluating AI perception and detection systems, • Ensure data quality, integrity, and reliability across the pipeline What They’re Looking For • 10+ years in applied data science, shipping production-grade systems, • Strong Python + SQL skills (pandas, numpy, scikit-learn), • Experience with time-series, geospatial, or multi-sensor data, • Deep understanding of statistical modeling (clustering, regression, anomaly detection), • Familiarity with ML ops (dataset versioning, labeling workflows, monitoring), • Strong communicator — able to translate complex data into actionable insights Bonus: Experience working with edge AI systems or in maritime, aerospace, or automotive domains Tech Stack Python, pandas, numpy, scikit-learn, SQL The Team • High-ownership, high-ambiguity environment — you’ll be expected to lead without a playbook, • Lean, mission-driven team where engineers own outcomes end-to-end, • Fast-moving — ideas get shipped, not parked, • Strong builder culture: “you build it, you run it”, • Hybrid but hands-on — expect meaningful in-office collaboration Who This Is Perfect For? • You’ve operated at Staff/Principal level and want real ownership, • You enjoy messy, real-world data problems, not just clean datasets, • You want your work to matter beyond dashboards — real-world impact Join a team turning cutting-edge AI into real-world impact — where your work shapes global security, not just dashboards

🚀 Our client is hiring: Applied Research Engineer (Video AI / Computer Vision) 📍 In-person | San Francisco Our client is building high-performance systems to understand video at internet scale. Video now accounts for ~80% of internet traffic and is rapidly becoming the foundation for creativity, communication, gaming, AR/VR, and robotics. The limiting factor in next-generation AI isn’t models — it’s high-quality video data and understanding at scale. This team sits at the intersection of: • Computer Vision, • Audio + speech processing, • Multimodal AI systems, • Large-scale data infrastructure Their mission is to transform raw video into structured, usable datasets and systems that unlock frontier model performance. 🧠 The role As an Applied Research Engineer, you’ll design and build systems that power large-scale video understanding. You’ll work across both research and production, including: • Building high-performance data and inference pipelines, • Improving model performance through smart preprocessing and optimisation, • Working with APIs, models, and multimodal systems, • Solving ambiguous, research-heavy engineering problems, • Shipping end-to-end systems that directly impact customers and model capability 🔧 What they’re looking for • 2+ years experience in Computer Vision or Audio ML, • Strong Python engineering skills, • Experience with PyTorch or similar ML frameworks, • Ability to work across research + production environments, • Strong communication skills with technical and non-technical stakeholders, • Clean, production-quality coding practices, • Ability to translate customer problems into technical system design, • Passion for video, media, or multimodal AI systems ⭐ Bonus • Open-source contributions, • Early-stage startup experience, • Portfolio of applied ML or systems work 📍 Must be based in or willing to work in-person in San Francisco. If you’re interested in building systems that turn video into intelligence at scale, our client would like to hear from you.

About the Company We are seeking a Senior Robotic Simulation Engineer with deep, hands-on expertise in building high-fidelity simulation environments and synthetic data pipelines using NVIDIA Isaac Sim or similar. In this role, you will directly contribute to the development of scalable, realistic virtual worlds that power the training and validation of robotic foundation models for perception, planning, and manipulation and technology development team, you’ll work closely with robotics and AI teams within the Manufacturing Technology Development (MTD) team to create simulation scenes that replicate complex manufacturing environments, generate diverse synthetic datasets, and build robust data workflows that accelerate model development and deployment. Responsibilities • Build and customize simulation scenes in Isaac Sim that accurately reflect real-world robotic tasks and factory layouts, • Develop synthetic data generation pipelines, including randomized object placement, sensor simulation, and multi-modal annotations (RGB, depth, segmentation, point clouds), • Implement and maintain data processing workflows, ensuring data quality, traceability, and compatibility with ML training pipelines, • Optimize simulation performance and realism, tuning physics parameters, asset fidelity, and rendering configurations for scalable experimentation, • Collaborate with robotics engineers and ML scientists to align simulation outputs with model requirements and support sim2real transfer, • Conduct hands-on testing and debugging, iterating on simulation setups and synthetic data strategies to improve model robustness, • Document workflows and contribute to best practices, enabling reproducibility and knowledge sharing across teams Qualifications • MSc or PhD in Robotics, Computer Graphics, Computer Vision, or related field, • 3+ years of hands-on experience in robotics simulation, synthetic data generation, or virtual environment development, • Proficiency with Isaac Sim, Omniverse, or similar simulation platforms, • Strong programming skills in Python and C++, with experience in simulation APIs and data annotation tools, • Familiarity with 3D vision, sensor modeling, and domain randomization techniques, • Experience integrating simulation outputs into ML pipelines for training and evaluation Required Skills • Proficiency with Isaac Sim, Omniverse, or similar simulation platforms, • Strong programming skills in Python and C++, with experience in simulation APIs and data annotation tools, • Familiarity with 3D vision, sensor modeling, and domain randomization techniques Preferred Skills • Experience with robotics frameworks (e.g., ROS/ROS2, MoveIt, Nav2), • Experience with robotics simulation platforms (e.g., IsaacSim, MoJoCo, Gazebo) or Game engine (e.g., Unreal, Unity), • Background in industrial automation, autonomous vehicles, or robotic manipulation, • Publications or contributions in simulation, synthetic data, or robotics venues (e.g. ICRA, RSS, CVPR), • Familiarity with CI/CD pipelines and modern software development practices such as Bash, Github, Bazel, Docker

Position: Data Engineer Location: Sunnyvale, CA Duration: Full-Time/ W2 Contract only Job Description: We are looking for a skilled Data Engineer with strong expertise in Snowflake and AI/ML technologies. The ideal candidate will be responsible for building scalable data pipelines, enabling advanced analytics, and supporting AI-driven solutions. Key Responsibilities: Design, develop, and maintain scalable data pipelines using Snowflake Implement data ingestion, transformation, and integration processes Work with structured and unstructured data for AI/ML use cases Collaborate with data scientists to deploy and optimize AI/ML models Optimize Snowflake performance, cost, and data architecture Ensure data quality, governance, and security standards Support real-time and batch data processing frameworks Required Skills: Strong experience with Snowflake (data modeling, performance tuning, security) Proficiency in SQL and Python Experience with ETL/ELT tools (e.g., Airflow, Informatica, dbt) Hands-on experience with cloud platforms (AWS/Azure/GCP) Understanding of AI/ML concepts and model deployment Experience with big data technologies (Spark, Kafka is a plus) Preferred Skills: Experience with MLOps and model lifecycle management Knowledge of data lake and lakehouse architectures Familiarity with GenAI/LLM integration is an added advantage Soft Skills: Strong problem-solving and analytical skills Good communication and stakeholder management Ability to work in a fast-paced, collaborative environment Regards~ Jessica Ingle

We are seeking a Mechanical Engineering contractor to support the Vehicle Integration team, focused on developing robust Hardware-in-the-Loop (HIL) systems and specialized test fixtures. This role involves designing complex test environments including racks, enclosures, and fixtures to validate advanced hardware systems. Key Responsibilities • Design and develop mechanical packaging for HIL and embedded HIL (eHIL) systems, including racks and enclosures., • Collaborate cross-functionally with Embedded, Test Automation, Product Integration, and R&D teams to define system requirements., • Coordinate with Electrical Distribution Systems (EDS) teams for cable routing and integration., • Lead design and build of test fixtures, calibration setups, and validation tools., • Provide hands-on support for system builds, installations, and hardware upfits., • Develop 3D CAD models, 2D drawings, and engineering BOMs (CATIA preferred)., • Bachelor’s or Master’s degree in Mechanical Engineering., • 4+ years of experience in mechanical design or test infrastructure., • Strong knowledge of electro-mechanical system packaging and cable management., • Proficiency in 3D CAD tools (CATIA preferred)., • Hands-on experience in prototyping, test benches, racks, or enclosure design., • Strong analytical, problem-solving, and communication skills., • Experience with HIL systems or electrical test benches., • Background in automotive or autonomous vehicle industry., • Knowledge of electrical routing and thermal management., • Onsite role with potential travel for build support and system integration., • Involves collaboration across multiple engineering teams and locations.

Our client is one of the most exciting companies in robotics right now. Founded by a repeat unicorn founder with multibillion dollar exits, they've raised over half a billion dollars to pursue a single audacious mission: a helpful robot in every home. Their lean, elite team of ~70 comes from Tesla, OpenAI, Google, Cruise, and Pixar. The best in the world, building something the world has never seen. The Role You'll own the full stack of a unified multimodal foundation model, from pretraining to deployment on real robotic hardware. This is foundational research with direct physical impact. No hand-offs, no bureaucracy, just hard problems and the resources to solve them. What You'll Do • Design and train large-scale multimodal architectures where vision, language, and kinematics share a unified representation, • Research and implement genuine cross-modal reasoning, not shallow associations, • Run end-to-end training loops: data curation, experiment design, failure diagnosis, and iteration, • Deploy models directly onto robotic hardware and optimize for edge inference What You Bring • Strong Python, C++, or Rust, • A proven track record training and deploying large-scale multimodal models in production, • Deep fluency in LLM pretraining, post-training, and RL at scale, • Comfort owning very large GPU cluster experiments from start to finish Why This The problems are unsolved. The team is world-class. The funding is exceptional. If you want to do the most consequential work in embodied AI right now, with the people and resources to actually ship it, this is the role.

Our Company: Genista Biosciences is a rapidly growing biotech company based in San Jose, CA that is dedicated to improving public health and food safety, both on the community and global scale. To revolutionize food safety by creating a cutting-edge platform based on a unique combination of robotics, software, and technology. Our ability to offer fast and accurate testing while still being cost-effective allows every member of the food supply chain (big or small) to be rest assured that the food they produce is safe thereby making the world a better place. Our Goal: As our first Network and Security Engineer, you will own the stability and security of our hybrid environment. You will manage our physical Ubiquiti stack at the office/lab and partner with DevOps to secure our production AWS environment. This is a high-impact role where you will build the automation and security frameworks that allow our biotech research to scale safely. Job Responsibilities: 🏢 On-Premise & IT Operations • Ubiquiti Management: Full ownership of UniFi/UISP infrastructure, including Dream Machines, switches, and APs., • Lab Connectivity: Ensure high-uptime network performance for critical research equipment and automated lab workflows., • Access Control: Manage physical and digital access, including RADIUS, VPNs, and WPA3 enterprise security., • Shared Responsibility: Collaborate with DevOps to harden AWS VPCs, IAM roles, and S3 bucket policies., • Vulnerability Remediation: Use AWS Inspector or similar tools to identify and fix security gaps in cloud-based applications., • Scripting: Build automations (Python, Bash, or Terraform) to eliminate manual IT tickets and repetitive tasks., • Monitoring: Set up proactive alerting for network health and security threats using UniFi logs and AWS CloudWatch. Qualifications: • Networking: 4+ years of experience with deep knowledge of VLANs, Firewall rules, and routing., • Stack Expertise: Proven experience managing Ubiquiti (UniFi) hardware and AWScloud services., • Security First: Strong understanding of the OWASP Top 10 and cloud security best practices., • Startup DNA: Comfortable working in a fast-paced biotech environment where requirements evolve quickly. 💡 Ready to apply? Join us in building the infrastructure that powers the next generation of food safety breakthroughs.

Intelligence Architect Conquer AI is hiring an Intelligence Architect to help us design and deliver real-world AI systems for enterprise clients. This is not a research-only role, and it is not a strategy-only role. We are looking for a strong software engineer who can work directly with clients, run technical discovery, shape use cases, and then build the solution from POC through MVP and Phase 1 delivery. Think forward deployed engineer. A hands-on builder who can sit with business stakeholders, understand how work actually happens, and turn that into practical AI systems. What we’re looking for • Strong software engineering background, • Experience with RAG, LLMs, machine learning, and AI application development, • Strong hands-on skills in Python and Node.js, • Ability to design, build, and deploy production-ready systems, • Confident working directly with clients and cross-functional stakeholders, • Able to move from problem definition to technical architecture to delivery, • Strong communication, ownership, and execution skills What you’ll do • Work closely with clients to uncover high-value AI opportunities, • Lead discovery sessions and translate business problems into technical solutions, • Build POCs, MVPs, and early production systems, • Design workflows that combine retrieval, reasoning, automation, and human-in-the-loop review, • Operate as a trusted technical lead across both client-facing and delivery work, • Help ensure what gets built is usable, scalable, and grounded in real workflows This role is a fit for you if • You are a builder first, • You can speak to executives, operators, and engineers without losing the thread, • You enjoy solving messy workflow problems with elegant technical systems, • You want to work on high-impact AI delivery, not internal experiments, • We’d love to hear from engineers who want to build serious AI systems in the real world.

The opportunity This summer, you'll join one of Unity's most consequential teams — Vector AI — as a Research Science Intern. This organization drives how ads are delivered, measured, and optimized across Unity's advertising platform. You'll work alongside engineers, scientists, and product managers on high-impact problems at the intersection of machine learning, optimization, and causal inference — in large-scale, real-world systems where your research will have direct influence on campaign performance and advertiser outcomes. What you'll be doing • Design and run experiments to improve ad performance, efficiency, and measurement quality., • Develop scalable models and algorithms targeting bidding strategy, auction dynamics, and user value estimation., • Partner with engineering to bring research ideas into production systems., • Analyze large datasets using advanced statistical and machine learning methods., • Academic background in machine learning, optimization, statistics, or econometrics., • Fluency working with large datasets using tools such as Python, R, SQL, or Spark., • Strong written and verbal communication skills — able to make complex ideas accessible., • Experience or coursework in advertising, marketplaces, or recommendation systems., • Familiarity with causal inference methods such as A/B testing or uplift modeling. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status. While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program Life at Unity Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit . Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out ___ to let us know. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our ___ and ___. Should you have any concerns about your privacy, please contact us at . *Note: Certain locations require a good faith disclosure of the base salary range for the role. The actual salary for the successful candidate may differ based on location, experience, and other job-related factors. Gross pay hourly: $46 USD - $58 USD

Research Engineer San Francisco, CA $750k+ Total Comp. This is a rare opportunity to build production grade AI systems that directly accelerate scientific discovery. You will work at the frontier of applied AI, owning end to end agent development and seeing your work used daily by researchers across industry and academia. The environment is fast moving, highly technical, and designed for people who want real ownership and impact. The Company They are a venture backed AI research and engineering organisation building autonomous AI agents to transform how science is done. Their platform automates complex research workflows across life sciences, combining literature synthesis, data analysis, hypothesis generation, and experimental design. Backed by significant funding, they are scaling quickly with the ambition to become the default AI platform for scientific research. The Role As a Research Engineer focused on Applied AI, you will be a core builder of production AI agents used by external research teams. • Design, build, and maintain AI agents from prototype through to production, • Develop agent architectures, prompting strategies, tool integrations, and evaluation frameworks, • Build reusable infrastructure such as agent skills, tool use pipelines, and benchmarks, • Work closely with internal science, engineering, and product teams to shape capabilities, • Spend time with external R and D partners to understand real workflows and validate solutions, • Translate field insights into clear technical and product priorities Your Skills and Experience • Strong commercial experience shipping production software systems used by real users, • Hands on experience building and deploying LLM powered applications in practice, • Proven experience with agentic AI, including agent orchestration, RAG, and tool use pipelines, • Strong engineering foundations in computer science or a related technical discipline, • Proficiency in Python and or TypeScript, with the ability to learn new tools quickly, • Comfortable working across research, engineering, and product in ambiguous environments, • A builder mindset with a track record of owning systems end to end Nice to have: • Exposure to life sciences, biomedical research, or scientific computing workflows, • Experience designing evaluation or benchmarking frameworks for AI systems, • Contributions to open source AI or scientific tooling What They Offer • Flexibility on compensation for exceptional candidates, • Comprehensive healthcare coverage, • Strong support for career progression as the team and platform scale, • An in office culture in San Francisco with close collaboration across disciplines How to Apply If you are excited by building applied AI systems at the edge of scientific research, apply to learn more about this opportunity.

One of our clients is looking for a Compliance GNSS Lab Test Engineer in San Jose, CA onsite role 5 days a week. If you would be interested in this opportunity please apply here. • Validate GNSS and cellular positioning performance on mobile devices across all carriers., • Validate 3GPP cellular and hybrid positioning technologies, including ECID and OTDOA, with detailed analysis of LPP, SUPL, and RRLP protocol messaging and procedures., • Execute and analyze CTIA GNSS OTA and E911 certification test cases, ensuring compliance with carrier and regulatory positioning requirements., • Develop and maintain Python automation scripts for test execution, log collection, and data analysis., • Automate device control and testing workflows using ADB scripting for Android platforms and contribute to development of test automation frameworks and regression test environments., • Execute suites using Keysight, Spirent, or Rohde & Schwarz test platforms, • Perform GNSS performance tests and analysis involving Lab KPI such as TTF, Positioning stats and sensitivity., • Analyze test results, identify root causes, and report issues to engineering teams., • Support GNSS debugging and mobile device troubleshooting for readiness., • Collaborate with cross-functional teams including modem, GNSS software teams to resolve issues., • Follow all the company policies and procedures to ensure product integrity and good quality. Requirements • MS in Telecommunications, Electrical engineering or related fields, • 2-5 years of laboratory experience in mobile devices testing, • Strong understanding of 3GPP positioning technologies (ECID, OTDOA) and knowledge of 3GPP specifications related to LTE/NR positioning., • Strong knowledge of LTE and 5G NR technologies, • Experience with E911 positioning validation and certification requirements., • Strong Python scripting for automation., • Experience with GNSS or wireless test platforms (Keysight / Spirent / Rohde & Schwarz).

We are looking for an experienced Emulation Engineer with strong expertise in ZeBu platforms to support SoC/IP verification and pre-silicon validation. Key Responsibilities: • Develop and maintain ZeBu emulation environments, • Port RTL/UVM testbenches from simulation to emulation, • Debug SoC/IP issues and perform root-cause analysis, • Work on transactors, SCE-MI, and hybrid verification flows, • Support pre-silicon software bring-up (Linux is a plus), • Collaborate with DV, RTL, and software teams Required Skills: • 8+ years in SoC/IP verification, • Hands-on experience with ZeBu, • Strong SystemVerilog & UVM, • Experience in simulation-to-emulation bring-up, • Knowledge of AXI/AHB/APB protocols, • Scripting: Python/Shell Nice to Have: • Full-chip emulation, performance tuning, • Linux bring-up, FPGA prototyping Pay Rate Range: $75 to $85/hr

Efficient is developing the world’s most energy-efficient general-purpose computer processor. Efficient’s patented technology uses 100x less energy than state of the art commercially available ultra-low-power processors and is programmable using standard high-level programming languages and AI/ML frameworks. This level of efficiency makes perpetual, pervasive intelligence possible: run AI/ML continuously on a AA battery for 5-10 years. Our platform’s unprecedented level of efficiency enables IoT devices to intelligently capture and curate first-party data to drive the next major computing revolution If you are a Computer Architect who wants to impact the transformation of the next evolution of computing, we would like to talk to you. Efficient is hiring an Computer Architect with experience in design-space exploration across the hardware-software interface. We seek individuals who are comfortable designing and executing experiments and interpreting and visualizing data. This is a unique opportunity to get in at the ground level and have influence on our products as we move from initial stages of product development to market release and scaled volume production. Join our team and help us shape the future of computing at the edge and beyond! Key Responsibilities • Work with Compiler and Digital Design teams to define the hardware-software interface for Efficient’s Fabric architecture., • Work with Applications and Embedded teams to analyze the performance and efficiency of key applications on the Fabric and competing architectures., • Build simulation infrastructure to quickly and accurately model the performance of the Fabric., • Build visualization dashboard infrastructure to continuously monitor the performance and efficiency of the Fabric architecture., • Design & execute experiments to perform a design-space exploration of the Fabric architecture and optimize it for key applications., • Collect and analyze data from design-space explorations., • Write internal reports, white papers, and research publications on the Fabric architecture. Required Qualifications • Master’s degree in Computer Science or Electrical Engineering and 3+ years of industry experience, or a doctoral degree in Computer Science or Electrical Engineering., • Extensive experience (3+ years) in designing and implementing architectural/microarchitectural simulators., • Excellent coding skills in C++, Bash, and Python., • Familiarity with data analysis and visualization tools like numpy, matplotlib, and Mathematica., • Excellent technical communication skills in presentation and writing. Preferred Qualifications • Track record of research publications in computer architecture. We offer a competitive salary for this role, generally ranging from $160,000 to $220,000, along with meaningful equity and comprehensive benefits. The final compensation package will be based on your experience and location, with some flexibility to ensure we align with the right candidate.

We are seeking a highly motivated Business Operations Associate to join our team and help shape the future of our company. You will partner with customers to identify high-priority use cases, map workflows, deploy our product, and measure business impact - working closely with the founding team to ensure our roadmap aligns to customer outcomes. What You’ll Do Discovery & Outcome Design • Lead focused discovery to map customer workflows and pain points; prioritize opportunities by impact, feasibility, and time-to-value., • Translate ambiguity into clear problem statements, hypotheses, and success metrics (e.g., days-on-market, lead conversion, cost per ticket, SLA adherence)., • Configure and launch MaxHome, along with evaluation criteria and guardrails, • Drive pilots to production: own plans, owners, risks, and acceptance tests, • Instrument, analyze, and communicate results; create dashboards and crisp executive readouts., • Enable adoption with training, runbooks, and change-management comms; monitor usage, quality, and SLAs., • Become a power user; reproduce issues, triage with Eng/PM, and channel field feedback into the roadmap., • Identify adjacent net-new use cases and rapidly prototype using product building blocks, expanding the value we deliver. What Makes You a Great Fit • Consulting foundation: 2+ years at McKinsey/BCG/Bain (or equivalent) with client-facing ownership., • Analytical problem solver: hypothesis-driven, strong with numbers and crisp storytelling; comfortable designing metrics and experiments., • Customer-facing operator: confident with execs and frontline teams; excellent stakeholder management., • Technical fluency (practical): comfortable with API docs, CSVs, basic SQL/Sheets, and reasoning about data readiness, prompts, and evaluation., • Startup energy: high ownership, bias to action, thrives in ambiguity, fast without sacrificing quality. Nice to Have • BI tools (Looker/Tableau/Mode), basic Python, workflow tools (Asana/Jira/Notion)., • Experience deploying enterprise software or operationalizing AI/LLM use cases., • Real estate domain exposure (brokerage ops, property management, maintenance, customer support).

Duties: We are seeking a senior contractor to join our HR People Technology team on a retainer basis to design, build, and continuously improve AI-powered tools and automations across the HR function. This is a hands-on, delivery-focused role for someone who thrives on turning real HR pain points into working solutions — whether that's an intelligent onboarding workflow, an automated policy assistant, or a smart recruiting pipeline. You'll work closely with HR leadership and operational staff to scope, build, and iterate on impactful AI tools. Key Responsibilities • AI Tool Development: Build and deploy production-ready AI-powered tools for HR use cases, including document processing, employee-facing chatbots, workflow automations, and decision-support systems., • Process Automation: Identify manual or repetitive HR processes and engineer scalable automations using AI/ML, RPA, or integration platforms., • Integration & Deployment: Connect AI tools with existing HR systems (HRIS, Workday ATS, ServiceNow ticketing, etc.), ensuring seamless data flow and user experience., • Iteration & Maintenance: Continuously monitor, refine, and improve deployed tools based on user feedback and performance metrics., • Technical Documentation: Produce clear technical documentation for all tools built, enabling internal teams to maintain and evolve solutions over time., • Collaboration: Work directly with HR Operations staff to gather requirements, run pilots, and ensure adoption of new tools. Skills: Required Qualifications • 6–10 years of experience in software engineering, HR technology, or AI/ML engineering, with a strong portfolio of delivered tools or automations, • Proficiency in one or more of the following: Python, JavaScript/TypeScript, or similar languages used in automation and AI development, • Hands-on experience with LLM APIs (e.g., OpenAI, Anthropic, Microsoft) and prompt engineering for enterprise applications, • Experience with automation platforms such as Power Automate, Zapier, Make, or custom-built integration frameworks, • Solid understanding of HR workflows and the employee lifecycle, • Ability to independently scope, build, and ship tools with minimal oversight Preferred Qualifications • Experience integrating AI tools with HRIS platforms (e.g., Workday, SAP SuccessFactors, BambooHR), • Familiarity with HR data privacy requirements (GDPR, CCPA) as applied to AI systems, • Prior retainer or ongoing consulting engagements with HR or People Operations teams, • Experience with vector databases, RAG architectures, or knowledge management systems What Success Looks Like Within the first 90 days, the ideal contractor will have: • Completed a technical discovery of current HR systems and automation opportunities, • Delivered at least two working AI tools or automations, • Established a backlog of prioritized build requests with the HR Operations team, • Documented all tools with clear handoff and maintenance guides

We are seeking a highly experienced Senior/Staff Physical Design Engineer specializing in Top-Level EMIR and Power Integrity Signoff for advanced-node SoC designs (5nm / 3nm / 2nm). The ideal candidate will have proven expertise in full-chip Static & Dynamic IR Drop analysis, Electromigration verification, PDN optimization, and power integrity closure across multiple successful tapeouts. You will work closely with RTL, Physical Design, STA, Packaging, and Foundry teams to drive power signoff readiness for high-performance silicon programs. Key Responsibilities • Drive top-level EMIR signoff for complex SoC designs., • Perform full-chip Static & Dynamic IR Drop analysis., • Execute Electromigration (EM) verification and closure., • Optimize Power Delivery Network (PDN) for reliability and noise margins., • Analyze voltage droop and high-frequency switching behavior., • Debug power integrity issues and drive closure independently., • Collaborate with STA and Physical Design teams to improve PPA and signoff convergence., • Develop scalable methodologies to improve runtime and signoff quality. EMIR / Power Integrity • Static IR Drop, • Dynamic IR Drop, • Electromigration (EM), • Voltage Droop Analysis, • Power Integrity Signoff, • Current Density Analysis, • Ansys RedHawk-SC, • Cadence Voltus, • 5nm, • 3nm, • Tcl / Python / Perl scripting, • Understanding of OCV / AOCV / POCV, • Statistical timing methodologies, • Experience with 2.5D / 3D IC packaging signoff, • Familiarity with TSMC / Samsung / Intel signoff flows, • Experience in HPC, AI Accelerator, or large-scale SoC programs, • Strong debugging and analytical skills

Job Responsibilities • Silicon Characterization: Drive post-silicon power and performance measurements for next-generation Smartphone SoCs., • Data Automation & Infrastructure: Design and maintain Python-based automation frameworks for high-fidelity workload measurements and telemetry collection., • Performance Analysis: Conduct root-cause analysis of microarchitectural bottlenecks and evaluate the impact of DVFS and thermal management policies., • Bachelor’s degree in Electrical Engineering, Computer Science, or equivalent practical experience., • 3+ years of experience in microprocessor architecture, performance analysis, or post-silicon power/performance characterization., • Proficiency in C/C++ and Python for test automation and data parsing., • Prior experience in power instrumentation and measurement of mobile devices is a plus, • Mobile Ecosystem Expertise: Deep understanding of the Android (or iOS) stack, including experience with the smartphone rooting process and system-level performance tuning., • Architecture Knowledge: Strong foundation in Instruction Set Architecture (ISA), specifically ARM or RISC-V., • System-Level Optimization: Experience with power management states, thermal throttling mechanisms, and system-level trade-offs in mobile SoCs., • Analytical Rigor: Proven ability to automate complex data pipelines and visualize large datasets to identify microarchitectural trends.

Creospan is a growing tech collective of makers, shakers, and problem solvers, offering solutions today that will propel businesses into a better tomorrow. “Tomorrow’s ideas, built today!” In addition to being able to work alongside equally brilliant and motivated developers, our consultants appreciate the opportunity to learn and apply new skills and methodologies to different clients and industries. *** Embedded Firmware Engineer Redmond, WA (preference) / Sunnyvale, CA Long term Contract Must-Have Skills: • Expert knowledge of the full software development lifecycle: from business/systems analysis, through requirements gathering and functional specification authoring, to development, testing and delivery., • Experience with CI/CD development tools and processes. Scripting skills using Python or other languages for developing simple utilities and test automation. Knowledge of AR/VR technologies and/or basic understanding of Graphics and Display systems is a plus., • Experience with RTOS and developing multi-threaded applications. Expert knowledge of the full software development lifecycle. Nice-to-have Skills: • Expert problem solving skills to troubleshoot issues and make system changes as needed to resolve issues., • Expert ability to work independently and manage one’s time., • Strong verbal, written communication skills and interpersonal skills. Years of Experience: • 8+ years of industry experience developing and testing low level firmware for embedded systems., • 10+ years of solid programming skills using C and C++, and experience developing production code and test applications

Senior Validation Engineering Manager DDR4/DDR5 A leading chip and silicon IP provider is seeking an experienced Validation Manager to join its Memory Interface Chip business unit. In this role, you’ll collaborate with some of the industry’s top engineers and innovators to develop products that make data faster, more efficient, and more secure. This is a hands-on technical management role and requires approximately 20–30% day-to-day technical work alongside leadership responsibilities. Key Focus Areas & Technical Expertise • Bench validation and electrical characterization of high-performance memory buffer chips, • DDR4/DDR5 memory characterization and validation, • Strong Python coding skills – must be capable of developing automation scripts and lab tools, • Experience with SerDes or PCIe/PCIe PHY high-speed interfaces, • Solid understanding of signal integrity, power integrity, and high-speed I/O characterization Responsibilities • Lead and directly contribute to hands-on bench validation and electrical characterization activities (20–30% of time), • Manage and mentor a small team of 2–5 validation engineers, ensuring technical excellence and project alignment, • Partner with Design, Architecture, Verification, and Operations teams to deliver top-quality buffer chip products, • Develop and continuously refine validation methodologies, improving design coverage, efficiency, and time-to-market, • Collaborate with internal and external partners for test equipment sourcing, PCB fabrication, and assembly, • Develop automation frameworks and Python-based validation scripts for data collection and analysis, • Define and execute test methodologies to validate silicon designs against specifications, • Contribute to project planning, budgeting, and resource allocation Qualifications • B.S. or M.S. in Electrical Engineering or related field, • 5+ years of hands-on bench validation experience in semiconductor or system-level environments, • Proven experience with DDR4/DDR5 memory interfaces and processor/memory system architectures, • Demonstrated proficiency in Python scripting for validation, automation, and data analysis, • Background in SerDes or PCIe PHY characterization is highly desired, • Strong understanding of electrical characterization, signal integrity, and power integrity, • Experience managing small teams or leading technical projects as an individual contributor with leadership responsibilities, • Experience with ATE or system-level testing is a plus, • Excellent communication, organizational, and cross-functional collaboration skills Location: San Jose, CA (Relocation assistance available) Duration: Fulltime Salary Range: $136,000 to $252,600 (DOE) Compensation: Medical, Vision and Dental Plan. Bonus: 20% RSUs: $145K total, vesting over 4 years. Submit resume to No 3rd party agencies or C2C Abel Lara | 408.550.2800 x119

Job Title: Application Engineer (AI) Location: San Jose, CA (Hybrid) Duration: 4 months+ Notes: This is onsite 3 days a week at San Jose, CA. It is through 9/30/2026, but likely to be extended long term as a 3 years project overall. Emphasis on: 1. Python with Angular. 2. FastAPI 3. Azure deployments 4. Knowledge of Kubernetes will be added advantage. But not required. Contract Description: We have a contract opportunity for an Application Engineer (AI) 1. Minimum of 5 years in relevant roles, with flexibility for strong candidates with less experience., 2. Comprehensive understanding of the software development lifecycle (SDLC), including analysis, planning, design, development, testing, and deployment., 3. Proficiency in enterprise integration design patterns, microservices design, and middleware platforms, including API development., 4. At least 3 years of software development experience in Python, preferably with Angular or React., 5. Experience integrating AI/ML features into production applications is a plus., 6. Willing to go into the San Jose, CA offices on Tues-Thurs. Qualifications: 1. UI Development with Flask, Django, FastAPI and experience developing Agentic Applications, 2. Write clean, maintainable, and efficient code in Python for data processing and application logic., 3. Develop and maintain the frontend of web applications using HTML, CSS, JavaScript, and frameworks like React or Angular., 4. Proficiency in various programming languages, including PowerShell, Python, C++, C#, Java, TypeScript, Hive, R, or NoSQL., 5. Experience with ML, deep learning, TensorFlow, Python, NLP

Backend Engineer – Build the Core System (Early Stage) I’m working with a fast-growing, venture-backed startup that is rebuilding a complex, real-world industry from the ground up using AI and modern backend systems. They’ve already hit strong early traction and are now hiring an engineer to help define and build the platform at the center of the business. What you’ll be doing This role sits right at the core of the company. You’ll be: • Building backend systems that power real-world operations, • Designing APIs, services, and data models from scratch, • Owning database design and performance (PostgreSQL), • Working with AWS or GCP in a production environment, • Shipping quickly and iterating on live systems, • Integrating AI-driven workflows into core product logic You won’t be handed tickets. You’ll be expected to figure things out and build. What they’re looking for • Strong backend engineering experience (Python preferred), • Experience shipping production systems end-to-end, • Solid understanding of system design and data modeling, • Comfortable working across APIs, infrastructure, and data layers, • Experience with PostgreSQL and cloud platforms (AWS or GCP), • Someone who takes ownership and moves without waiting Nice to have: • Exposure to LLMs, RAG pipelines, or AI-driven products, • Experience in early-stage or high-growth environments Why this role stands out • You’ll build systems that directly impact the business from day one, • Real ownership of architecture and technical decisions, • Fast-moving environment with minimal bureaucracy, • Strong early traction and backing, • Competitive compensation and equity Location San Francisco (in-person) Relocation support available

Director – Financial risk management Location: USA (San Jose / New York) Role Overview We are seeking a dynamic and experienced leader to drive our Financial risk management practice — combining expertise across Risk Management - Market Risk, Credit Risk, Working Capital Optimization, and Regulatory Reporting and more. The role involves leading high-impact projects, advising financial institutions on regulatory change, risk frameworks, and capital optimization, while developing and mentoring cross-functional teams. The ideal candidate brings strong quantitative, regulatory, and consulting acumen, along with a strategic mindset. Key Responsibilities 1. Risk Modeling& Valuation, 2. Regulatory Frameworks & Reporting, 3. Credit Risk & Working Capital Optimization, 4. Client Leadership & Practice Development Qualifications & Experience Education: • Master’s or PhD in Quantitative Finance, Financial Engineering, Mathematics, Statistics, Economics, or related field., • Professional certifications such as CFA, FRM, PRM, or Actuarial credentials preferred. Experience: • 12+ years of relevant experience in consulting firms, financial institutions, or regulatory bodies., • Proven expertise in market risk capital computation, credit risk frameworks, and regulatory reporting., • Hands-on experience in Basel, ICAAP, FRTB, Stress Testing, and ECL model development., • Exposure to risk technology platforms such as Murex, Calypso, Bloomberg, SAS, or equivalent. Technical Skills: • Proficiency in Python, R, SAS, and SQL for data analysis and model development., • Strong command over data management tools (Excel, Hadoop, Spark) and understanding of machine learning applications in risk analytics.

Akkodis is seeking an Operational Program Manager – Cupertino,CA , for a 12 months Contract Rate Range: $85.00 - $89.00 P/HR.; The rate may be negotiable based on experience, education, geographic location, and other factors. Job Description: The role will partner closely with Engineering, GSM, Operations teams and CMs to establish qualification plans, timelines, benchmarks, and risk mitigation strategies. Key responsibilities include driving cross-functional alignment, coordinating build readiness and execution with OEMs, leading executive communications, and reporting KPI metrics via dashboards. Experience: 5+ years in operations/program management, manufacturing, process engineering, or product development. Skills: Strong program management, cross-functional leadership, risk management, executive communication; experience with SQL/Tableau/Python a plus. Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit ___. The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: · The California Fair Chance Act · Los Angeles City Fair Chance Ordinance · Los Angeles County Fair Chance Ordinance for Employers · San Francisco Fair Chance Ordinance

Job DescriptionCall Liza Rodriguez for a quick phone screen or apply directly today! 📍 Sunnyvale, CA | In-Person 💰 $45–$50/hour 🕒 Full-Time (40 hrs/week) Ready to work on the next generation of vehicle technology? We are looking for a hands-on Engineering Technician to support the design, buildout, testing, and maintenance of advanced vehicle test rigs and platforms. You’ll work directly with cutting-edge systems—assembling, wiring, testing, and maintaining the technology that powers next-generation automotive platforms. 🔧 What You’ll Do * Build, wire, and test mechanical, electrical, and vehicle systems * Troubleshoot sensors, computers, and vehicle components (root-cause analysis & calibration) * Maintain and organize lab inventory, tools, and parts * Manage parts procurement and supplier relationships * Collaborate closely with engineers to minimize vehicle downtime while prioritizing safety 🧠 What We’re Looking For * 2+ years of hands-on technical experience (automotive, mechanical, electrical, robotics, or similar) * Strong skills in prototype assembly, wiring, soldering, and cable builds * Ability to read electrical schematics and datasheets * Experience working in a shop or lab environment * Comfortable with diagnostic tools, 3D printers, and shop equipment * Organized, detail-oriented, and eager to learn in a fast-paced setting ⭐ Nice-to-Have (Not Required) * Python, Linux, or ROS experience * CNC, machining, welding, or fabrication skills * CAD experience (SolidWorks preferred) * Experience with AV sensors (LiDAR, radar, cameras) ⏱ Schedule * Monday–Friday, 8am–5pm * Occasional weekends or overtime depending on build needs 🚀 Why This Role? You’ll help outfit vehicles with next-generation technology, work alongside a talented engineering team, and gain hands-on experience at the forefront of autonomous systems. 👉 Apply now and help us build what’s next in vehicle innovation. Powered by JazzHR jyRnr5kMQK

Job Description 🔧 Now Hiring: Engineering Technician 📞 Teresa – 346-646-3662 📍 Sunnyvale, CA (In-Person) 💲 $45–$50/hour 🕒 Full-Time (40 hrs/week) 📅 Contract through April 6, 2026 Join a fast-moving, innovative team supporting the development and testing of advanced vehicle platforms. As an Engineering Technician, you’ll play a critical hands-on role in building, troubleshooting, and maintaining cutting-edge systems used in next-generation automotive and autonomous technology. You’ll work closely with engineers and cross-functional teams to bring prototypes to life, improve system performance, and ensure vehicles are fully operational and test-ready. This is a great opportunity for someone who enjoys working with both hardware and software in a dynamic, fast-paced environment. Job Details Schedule: Monday–Friday, 8:00 AM – 5:00 PM • Troubleshoot vehicle systems, sensors, and computer components, • Perform root cause analysis, calibration, and system diagnostics, • Build and assemble prototypes, wiring harnesses, and cable assemblies, • Manage inventory of components and lab supplies, • Handle procurement and vendor coordination for key parts, • Support testing, maintenance, and uptime of vehicle platforms, • Experience with Python or other programming languages, • Familiarity with Linux and/or ROS, • CNC, machining, welding, or metalworking experience, • Automotive repair or maintenance knowledge, • Experience with AV components (LiDAR, radar, cameras), • CAD experience (SolidWorks preferred) 👉 Apply now to be part of building the future of mobility! Powered by JazzHR IJh8ruXx4O

PsiQuantum'smission is to build the first useful quantum computers-machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems. Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries. Our architecture and approachisbased on silicon photonics. Byleveragingthe advanced semiconductor manufacturing industry-including partners like GlobalFoundries-we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photonsdon'tfeel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. In 2024,PsiQuantumannounced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining-and that now is the time to scale. PsiQuantumalso develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies-including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical-to prepare quantum solutions for real-world impact. Quantum computing is not an extension of classical computing. Itrepresentsa fundamental shift-and a path to mastering challenges that cannot besolvedany other way. The potential is enormous, and we have a clearpathto make it real. Come join us. Job Summary: We are looking for enthusiastic candidates interested in applying quantum computing to real-world challenges. At PsiQuantum, we are particularly focused on use cases of quantum computing in chemistry, drug design, materials science, and fluid dynamics. Along these lines, we are offering internships in the areas of quantum algorithms and quantum compilation. Your work could entail the - • Development of quantum algorithms to solve impactful problems,, • Optimization of ubiquitous subroutines in fault tolerant quantum algorithms,, • Compilation of quantum algorithms to logical gate sets,, • Incorporation of architecture-aware optimizations, Desired experience and skills: • Currently studying for, or completed a postgraduate degree related to quantum algorithms, quantum circuit compilation, fault tolerance or another aspect of quantum computing OR 5+ years working professionally in one or more of these fields., • Experience with programming languages (e.g. Python) and collaborative software development tools (e.g. Git)., • A creative and adaptable approach to problem solving. Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to___. We are not accepting unsolicited resumes from employment agencies.

PsiQuantum'smission is to build the first useful quantum computers-machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems. Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries. Our architecture and approachisbased on silicon photonics. Byleveragingthe advanced semiconductor manufacturing industry-including partners like GlobalFoundries-we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photonsdon'tfeel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. In 2024,PsiQuantumannounced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining-and that now is the time to scale. PsiQuantumalso develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies-including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical-to prepare quantum solutions for real-world impact. Quantum computing is not an extension of classical computing. Itrepresentsa fundamental shift-and a path to mastering challenges that cannot besolvedany other way. The potential is enormous, and we have a clearpathto make it real. Come join us. Job Summary: As part of the Systems Hardware Team, the Sr. Optical System Process Engineer plays a vital role in constructing high-performance electromechanical and fiber-optic subsystem modules, including EDFA modules, high-speed optical timing, and polarization control, contributing directly to innovative optical solutions. Responsibilities: • Ownership of the construction of prototype and early-stage production optical fiber subsystems and modules, including electrical/electronic and mechanical assemblies., • Work closely with product design engineers to develop and provide guidance on Design for Manufacturing (DFM), Assembly (DFA), and Test (DFT), ensuring their expertise is valued in shaping reliable products., • Along with design engineering, drive tooling development, assembly flows, and version-controlled documentation, including the composition and authoring of clear, detailed work instructions for both assembly and test., • Management of bill of materials (BOM), documentation, and continuous product improvement (CPI). Collection, tracing, and analysis of build data, including design and component troubleshooting., • Work closely with supply chain and vendors, as well as design engineering and technicians, to improve current and future generations of products. B.S. in Physics, Optical or Electrical Engineering preferred, with 8+ years of industry experience. * Expertise in working with fibers, lasers, and amplifiers, fiber optic components, advanced splice equipment and optimization, fiber handling and routing, and equipment maintenance. * Experience validating and testing fiber optic components and systems, transferring design and development into robust and scalable products. * Experience working with optical test equipment, including polarization analysis, insertion/return loss, optical backscatter reflectometers (OBR), and optical spectrum analyzer (OSA). * Process development and documentation of electrical cable assembly, testing, routing, and harnessing. Experienced in the optimization of layout, tooling, and workflows, maintaining standards and compliance throughout the NPI phase. * Troubleshooting, testing, and repairing of electrical and electronic systems. Investigation of manufacturing failures, identification and root cause analysis, implementation of corrective actions. Experience with OSHA, NEC, UL, and other regulatory standards. * Python scripting, calling Controls SW APIs / drivers to control lab equipment and proprietary systems. * Experience with industrial vacuum and cryogenic systems is desirable PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws. Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to ___. We are not accepting unsolicited resumes from employment agencies. The ranges below reflect the target ranges for a new hire base salary. One is for the Bay Area (within 50 miles of HQ, Palo Alto), the second one (if applicable) is for elsewhere in the US (beyond 50 miles of HQ, Palo Alto). If there is only one range, it is for the specific location of where the position will be located.Actual compensation may vary outside of these ranges and is dependent on various factors including but not limited to a candidate's qualifications including relevant education and training, competencies, experience, geographic location, and business needs. Base pay is only one part of the total compensation package. Full time roles are eligible for equity and benefits. Base pay is subject to change and may be modified in the future. U.S. Base Pay Range $160,000—$180,000 USDBay Area Pay Range $170,000—$187,000 USD The ranges below reflect the target ranges for a new hire base salary. One is for the Bay Area (within 50 miles of HQ, Palo Alto), the second one (if applicable) is for elsewhere in the US (beyond 50 miles of HQ, Palo Alto). If there is only one range, it is for the specific location of where the position will be located.Actual compensation may vary outside of these ranges and is dependent on various factors including but not limited to a candidate's qualifications including relevant education and training, competencies, experience, geographic location, and business needs. Base pay is only one part of the total compensation package. Full time roles are eligible for equity and benefits. Base pay is subject to change and may be modified in the future. Bay Area Only Pay Range$183,000—$200,000 USD

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The RAPID division is the world leading provider of reticle inspection solutions for the semiconductor industry. The company provides inspection solutions to both the mask shops and the semiconductor fabs to ensure that lithography yields are consistently high thus enabling cost-effective manufacturing. Job Description/Preferred Qualifications Your Role: Innovate and Grow • We are seeking a highly motivated Embedded Software Engineer to join our team within the RAPID division. In this role, you will take end-to-end technical ownership of embedded software that powers our reticle inspection systems, with a strong focus on high-speed data capture pipelines, and low-level hardware interfaces. You will work hands-on across the stack-from Linux user space to Linux kernel drivers-including PCIe device bring-up and driver development, and you will influence design and implementation direction through strong engineering judgment and design reviews., • This is a hands-on, Individual Contributor role. You will drive technical decisions, raise the bar on engineering quality, and collaborate closely with cross-functional teams to deliver reliable, production-grade embedded software. Job Responsibilities: • Own Critical Projects & Features: Design, develop, and deploy complex embedded software/firmware for machine control in semiconductor inspection systems. Build demanding quasi real-time applications in C/C++ for image capture systems running on environments such as real-time Linux or VxWorks., • Drive Implementation: Design and implement robust, scalable software for system control, high-speed data acquisition, image processing, and intricate hardware interaction. Translate system-level requirements into well-partitioned user-space and kernel-space designs where appropriate., • Own Low-Level Interfaces: Develop and debug Linux kernel drivers and related user-space components for custom hardware, including PCIe device enumeration/bring-up, DMA and interrupt handling, memory-mapped I/O, and performance tuning for high-throughput/low-latency data paths., • Collaborate Across Boundaries: Partner with mechanical, systems, electrical, optics/opto-mech, algorithms, and applications teams to deliver integrated solutions from concept through production., • Raise Team Effectiveness: Share expertise through design reviews, debugging sessions, documentation, and lightweight coaching to help the team deliver consistently high-quality software., • Drive Best Practices: Champion modern development practices (Agile, CI/CD, code reviews, automated testing). Define and execute test plans to measure subsystem performance; document, analyze, and present results., • Solve Tough Problems: Troubleshoot complex system-level issues across hardware, kernel, and user space; optimize performance-critical software and improve system reliability., • Influence the Roadmap: Contribute to technical planning, estimation, and architectural tradeoffs. Participate in all stages of development, including design, implementation, integration, deployment, testing, and field troubleshooting. Required Skills & Qualification: • BS/MS in Electrical Engineering, Computer Science, Computer Engineering, or a related field (or equivalent practical experience)., • 5+ years of embedded software development experience in an industrial or product-focused environment (Senior level)., • Strong C/C++ skills and solid software engineering fundamentals (OOD/OOP, design patterns, testable design)., • Strong experience with Linux and/or RTOS environments, multi-threading, synchronization, and embedded software architecture; familiarity with Linux kernel concepts (process context vs. interrupt context, basic memory management, sysfs/debugfs, etc.)., • Hands-on experience developing and debugging Linux kernel drivers (preferred upstream-style workflow), including device-tree/ACPI exposure as applicable, and strong understanding of PCIe fundamentals (configuration space, BARs, interrupts/MSI/MSI-X, DMA, and link characteristics)., • Experience with communication protocols such as Serial (RS-232), Ethernet, EtherCAT, and TCP/IP sockets/network programming., • Strong analytical and communication skills to present designs in reviews, work effectively across disciplines, and drive issues to closure in a collaborative team environment., • Self-motivated and curious; able to learn quickly and turn prototypes into quality, maintainable production code used in mission-critical applications., • Strong software debugging and troubleshooting skills are required. Preferred (nice to have) Skills: • Hands on experience and laboratory exposure to electrical, mechanical and optical measurement instruments, • Experience in semiconductor fab operations/manufacturing technology., • Linux administration and debugging tools knowledge (e.g., perf, ftrace, trace-cmd, gdb) and familiarity with UML or similar modeling methods., • Experience with high-speed I/O subsystems and driver ecosystems (PCIe endpoints/switches, DMA engines, IOMMU concepts) and diagnosing throughput/latency issues., • Knowledge of Python or other scripting language, • Systems thinking based on first principle and physics., • Project planning and management skills. Minimum Qualifications Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years Base Pay Range: $136,300.00 - $231,700.00 Annually Primary Location: USA-CA-Milpitas-KLA KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process. KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at___ or at +1-408-352-2808 to request accommodation. Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched ___ for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to ___ to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The Broadband Plasma Division (BBP) provides market-leading patterned wafer optical inspection systems for leading-edge IC manufacturing. Logic, foundry, and memory customers depend on BBP products to detect yield-critical defects for process debug and excursion monitoring at advanced process nodes. BBP flagship products include the 29xx and 39xx series which leverage Broadband Plasma technology to capture a wide range of defects with ultimate sensitivity at the optical inspection speeds needed for inline defect monitoring. Job Description/Preferred Qualifications Major responsibilities include • Participate in all phases of PCB & FPGA design flow - from concept to wafer inspection tool integration, • Participate in Analysis of high-speed image datapath bandwidths to support real-time processing, • Participate in Risk Tradeoff Analysis in PCB Architecture, Component Selection, Placement and Routing, • Model and Simulate High Speed Circuits for Risk Identification using ADS and LTSPICE, • Derive FPGA high speed interface, power and clock requirements from FPGA data sheet and Place and Route reports., • From Power Requirements, design FPGA Design Power Distribution Networks, including power plane placement solutions, • Work with Suppliers to Identify and Qualify new Components as needed for PCB Design, • Work with Suppliers to define PCB Stackup, • Bring up and validate FPGA design in the lab and utilize various lab equipment., • Collaborate with software engineers to integrate the design into the wafer Inspection tools., • Contribute to all phases of hardware development, including creating design documents, reviewing schematics, bringing up new hardware, and defining/overseeing/performing unit and system tests., • Validate PCB design and Support manufacturing release., • Documentation of all aspects of design flow: Requirements, Concept, Detail Design, Layout Directives, Test Plan and Procedure, along with presentations, • Support Field Escalations' Qualifications/Education Desired • Demonstrated Track Record in PCB Design and Implementation, • Experience designing hardware (schematic entry, layout, simulation) and debugging, • Experience designing DSP and/or image processing datapath a plus, • Strong programming and scripting skills: MATLAB, Python, C/C++, Perl, Tcl, • Understanding of clock domain crossing (CDC) techniques, • Experience in FPGAs, evaluation boards, and knowledge of FPGA design flow, • Understanding industry-standard interfaces, protocols, and architectures: PCIe, Ethernet, DDR, etc., • Experience in developing automated, self-checking test benches a plus, • Experience in EDA tools such as simulators (e.g., Questa), and FPGA tools (e.g., Vivado, Quartus) a plus, • Knowledge of timing closure techniques for high-speed design, • Strong interpersonal/written/verbal communication skills and experience with cross-functional collaboration, • Strong teamwork skills combined with the ability to work autonomously as an individual contributor Minimum Qualifications BS or MS in EE required 5+ years of experience designing PCB and verifying high-speed digital designs on FPGAs for deployed products Base Pay Range: $117,800.00 - $200,300.00 Annually Primary Location: USA-CA-Milpitas-KLA KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process. KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at___ or at +1-408-352-2808 to request accommodation. Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched ___ for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to ___ to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Job Description/Preferred Qualifications Sr Mechanical Engineers are core to KLA's technology, while we do not currently have an opening, we are always building our Sr Mechanical Engineering talent community, we are interested in learning about your background. Apply to this posting for Future Opportunities with KLA. Role Summary KLA is launching its most advanced reticle inspection tool, built on a multizone, ultraclean vacuum (UCV) architecture. As a Senior Vacuum Architect, you will own the endtoend vacuum operation scheme-from architecture and contamination control strategy to pumpdown/vent/transfer sequencing, interlocks, and factory acceptance criteria. You will lead crossfunctional design reviews, translate platform requirements into subsystem specifications, and ensure the vacuum system enables worldclass optical performance, reliability, and highvolume manufacturability. (Aligned to the internal Vacuum System Design Review process and architecture-level responsibilities for a designated Vacuum System Architect.) Responsibilities • Lead the mechanical design, integration, and validation of complex, multichamber subsystems, ensuring structural stability, precision performance, and robust contamination control., • Design and develop ultraclean vacuum system hardware, including chamber structures, interfaces, materials/finishes, seals, and internal components, applying UCV principles such as lowoutgassing materials, precision cleaning requirements, and contaminationminimizing geometries., • Develop mechanical concepts and detailed designs for chambers, frames, interfaces, mounts, enclosures, and precision mechanisms; create drawings, specifications, and requirements for crossfunctional teams., • Drive structural, thermal, fluid, and vibrational analyses to optimize component performance and system stability., • Collaborate closely with optics, metrology, electrical, controls/PLC, software, manufacturing, and service teams to ensure subsystem compatibility and seamless systemlevel integration., • Support vacuumrelated elements across chambers (e.g., main chamber, stage chamber, transfer chamber, etc.) by defining interfaces, mechanical constraints, and performance requirements that integrate with overall system design., • Contribute to the development and documentation of vacuum operation schemes (pumpdown, roughing, purge, vent, bake/clean cycles), and partner with Controls/SE on interlocks and sequencing., • Establish and maintain contaminationcontrol strategies-including materials selection, cleanliness/handling guidelines, and UCVgrade component practices-working with Materials Engineering and Supply Chain to evaluate suppliers., • Perform firstorder and detailed analyses for pumping configurations, conductance effects, and subsystemlevel performance impacts; collaborate with vacuum specialists as needed for deeper modeling., • Lead mechanical and systemlevel design reviews (CDR, DDR), ensuring design requirements flow correctly to partner teams (mechanical, electrical, optomechanical, metrology, EFEM/loader, source)., • Own integration of chambers and platform structures for vibration isolation, optical stability, and stage dynamic performance., • Plan, execute, and oversee test activities-prototype chambers, subsystem test stands, and prefactory builds-including instrumentation, test methods, data analysis, and acceptance metrics., • Manage risk through FMEA, issue tracking, corrective actions, and designforreliability improvements across NPI and into HVM., • Mentor engineers, establish best practices (DfX, contamination handling, documentation standards), and maintain engineering artifacts and decision rationale for longterm R&D continuity. Qualifications • Education: MS/PhD in Mechanical Engineering or related field (Applied Physics, Materials Science, EE, etc.)., • Experience: 8-12+ years in mechanical design and integration of complex systems (semiconductor equipment, precision instrumentation, multichamber tools, or equivalent). Experience collaborating on vacuum operation schemes and PLCcontrolled interlocks is a plus but not required as a primary role., • Technical depth: Strong foundation in mechanical engineering-precision design, structural/thermal/vibration analysis, contamination control, materials/finishes, and systemlevel integration. Familiarity with vacuum principles (pumping, conductance, gauging, cleanliness) desired., • Tools: Proficiency in 3D CAD/PLM workflows; experience with analysis tools (ANSYS/COMSOL or similar); scripting (Python/Matlab) for data processing and modeling; collaboration with PLC/HMI teams., • Soft skills: Demonstrated crossfunctional leadership, clear technical communication, supplier interaction, issueresolution ownership, and mentoring experience. NicetoHave • Exposure to EUVcompatible materials, optical contamination control, or reticle handling/transfer systems., • Background with precision metrology, multicolumn imaging systems, or highstability mechanical architectures Minimum Qualifications Doctorate (Academic) Degree and related work experience of 3 years; Master's Level Degree and related work experience of 6 years; Bachelor's Level Degree and related work experience of 8 years Base Pay Range: $141,300.00 - $240,200.00 Primary Location: USA-CA-Milpitas-KLA KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process. KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at ___ or at +1-408-352-2808 to request accommodation. Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched ___ for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to ___ to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The RAPID division is the world leading provider of reticle inspection solutions for the semiconductor industry. The company provides inspection solutions to both the mask shops and the semiconductor fabs to ensure that lithography yields are consistently high thus enabling cost-effective manufacturing. Job Description/Preferred Qualifications * Drive product development activities for semiconductor inspection systems, with focus on performance, robustness, and manufacturability. * Support system-level integration and development across optics, imaging, hardware, software, and application workflows. * Analyze product performance, identify gaps, and develop solutions to improve inspection sensitivity, stability, throughput, and usability. * Design, execute, and interpret experiments to evaluate system behavior, performance trade-offs, and engineering risks. * Work with cross-functional partners to root-cause technical issues and drive corrective actions. * Translate system and customer needs into engineering requirements, validation plans, and development priorities. * Contribute to design reviews, technical risk assessments, and product readiness decisions. * Develop test plans, analysis reports. * Collaborate with manufacturing, field, and application teams to support product transfer, issue resolution, and continuous improvement. * Drive execution across complex technical topics with clear ownership, structured problem solving, and strong follow-through. Additional Preferred Qualification: • Strong background in engineering or physical sciences, with demonstrated analytical and problem-solving skills, • Solid understanding of the working principles of optical imaging systems and key system components, • Experience in optical system modeling and performance analysis, • Hands-on experience with optical microscopy techniques, • Good understanding of Fourier optics and geometric optics (a plus), • Experience with lasers and illumination systems; CCD/CMOS cameras (a plus), • Ability to independently collect data using standard tool operation and diagnostic software, • Proficiency in data analysis tools such as MATLAB or Python, • Excellent written and verbal communication skills, • Ability to work both independently and collaboratively in a cross-functional team environment Minimum Qualifications Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years Base Pay Range: $117,800.00 - $200,300.00 Annually Primary Location: USA-CA-Milpitas-KLA KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process. KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at___ or at +1-408-352-2808 to request accommodation. Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched ___ for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to ___ to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality. As a System Integration & Test engineer at Reliable Robotics, you will be responsible for bringing together flight software and hardware subsystems in bench, lab, and aircraft test environments. Your testing will cover the full lifecycle from new equipment bring-up and functional checkout in the lab to installation & acceptance testing on the aircraft. Your verification plans and reports will provide the basis for safety-of-flight decisions both internally and as part of independent government airworthiness processes. Finally, you will develop a comprehensive set of software-in-the-loop (SIL) and hardware-in-the-loop (HITL) CI/CD core tests that lock in quality and protect the system against the introduction of bugs and regression of functionality. Responsibilities * Analyze vehicle integration milestones to determine verification objectives * Plan, implement, and execute system and aircraft level V&V workflows * Define and execute test procedures, reduce data, evaluate pass/fail criteria, and document resulting issues * Define and execute vehicle checkout procedures for newly integrated systems and equipment * Compile & audit system readiness artifacts to determine comprehensive aircraft and flight readiness Basic Success Criteria * Bachelor's or Master's degree in Computer Science, Aerospace, Electrical Engineering, or related field * 5+ years of experience creating and executing tests for aerospace or autonomous systems * Professional experience developing and working with software- and hardware-in-the-loop test environments, including Python data reduction and visualization. * Professional experience with C/C++ development and integration for real-time and safety-critical environments, including version control, CI/CD, and software testing frameworks Preferred Skills and Experience * Prior experience with data discovery and data reduction frameworks * Knowledge of GNC theory and common aerospace control architectures * Professional experience implementing or integrating flight planning, guidance, estimation, or control algorithms * Professional experience with development assurance / design assurance standards (e.g., ARP-4754B, DO-178C or similar) * Private or commercial pilot license System integration & test is where the rubber meets the road between the conceptual control system design and real-world flight operations. This is an exciting opportunity to realize key features of the Reliable Robotics automation system and integrate broadly with systems and subject matter experts across the sensor, effector, communications, hardware, and software stack. This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws. All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis. At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to Compensation Range: $165K - $215K

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The LS-SWIFT Division of KLA's Global Products Group provides patterned wafer inspection systems for high-volume semiconductor manufacturing. Its mission is to deliver market-leading cost of ownership in defect detection for a broad range of applications in the production of semiconductors. Customers from the foundry, logic, memory, automotive, MEMS, advanced packaging and other markets rely upon high-sample wafer inspection information generated by LS-SWIFT products. LS (Laser Scanning) systems enable cost-effective patterned wafer defect detection for the industry's most sophisticated process technologies deployed in leading-edge foundry, logic, DRAM, and NAND fabs. SWIFT (Simultaneous Wafer Inspection at Fast Throughput) systems deliver all-wafer-surface (frontside, backside, and edge) macro inspection that is critical for automotive IC, MEMS, and advanced packaging processes as well as foundry/logic and memory fabs. LS-SWIFT operates from a global footprint that includes the US, Singapore, India and Germany, and serves a worldwide customer base across Asia, Europe and North America. Job Description/Preferred Qualifications The Systems Design Engineer will be part of a dynamic, fast pace team developing some of the most challenging laser sources. This is an experimentalist role with experience in designing and building lasers and Optical Parametric Oscillators with emphasis in shorter wavelengths. The role requires deep knowledge and understanding of laser cavity design and implementation, optics and non linear conversion processes. Additionally to hands on skills, understanding and developing models for conversion efficiency, optimization techniques and tolerance analysis are preferred. Optics design with Zemax and programming with Matlab or Python are considered strong qualifications. Minimum Qualifications Doctorate (Academic) Degree in Lasers, Non Linear Optics, Photonics and 1-5 years related work experience; Master's Level Degree and related work experience of more than 5 years Base Pay Range: $136,300.00 - $231,700.00 Annually Primary Location: USA-CA-Milpitas-KLA KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process. KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at___ or at +1-408-352-2808 to request accommodation. Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched ___ for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to ___ to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.