Staff engineer jobs in Palo Alto, CA

Staff AI Engineer | Sunnyvale, CA | $225K-$300K + Equity We're partnering with a leading company in the software defined vehicle space to hire a Staff AI Engineer. Their technology is already running in more than five million vehicles on the road today and they are now building the next layer of AI that will power future automotive platforms. In this role you will work on advanced language models, retrieval systems and agent style architectures that support real world, safety critical use cases. You will own the full lifecycle of AI systems from early research through to stable, production grade services. What you'll do: Train and fine tune LLMs for reasoning and decision making Build retrieval pipelines and RAG systems for real time semantic search Design and scale ML systems that run in fault tolerant, privacy compliant environments Develop evaluation frameworks to measure reliability, correctness and performance Work closely with engineering and product teams to shape AI solutions that match real world needs What we're looking for: 5+ years of experience as an AI or ML engineer Hands on experience with LLMs, agent frameworks and RAG architectures Strong Python and experience with PyTorch or TensorFlow Background in building and deploying production ML systems Comfort working in a collaborative on site environment three days per week in Sunnyvale If this sounds like something you would like to explore, apply today and we'll be in touch

Staff AI Engineer Base Salary Range: $225,000-$300,000 + Equity A well-funded technology company in the autonomous driving and software-defined vehicle space is seeking a Staff AI Engineer to help drive next-generation AI capabilities across their platform. This role is ideal for senior engineers who excel at building end-to-end AI systems and want to work on impactful, real-world applications at scale. Responsibilities Lead development of AI-driven software solutions to address complex challenges in autonomous systems and vehicle software Apply deep expertise in LLMs, agentic frameworks, RAG pipelines, data engineering, and evaluation methodologies Own the full lifecycle of data and model development Including modeling, training, tuning, validating, deployment, and long-term maintenance Perform data analysis to extract insights and support decision-making across multiple domains Collaborate with cross-functional engineering, product, and research teams to translate requirements into effective AI solutions Document and clearly communicate architecture, design decisions, and interfaces to internal stakeholders We look forward to your application!

Role: Staff Machine Learning Engineer Duration: Long-term Mode of Interview: Virtual & Final In-person Why this role exists We're building privacy‐preserving LLM capabilities that help hardware design teams reason over Verilog/SystemVerilog and RTL artifacts-code generation, refactoring, lint explanation, constraint translation, and spec‐to‐RTL assistance. We're looking for a Staff‐level engineer to technically lead a small, high‐leverage team that fine‐tunes and productizes LLMs for these workflows in a strict enterprise data‐privacy environment. You don't need to be a Verilog/RTL expert to start; curiosity, drive, and deep LLM craftsmanship matter most. Any HDL/EDA fluency is a strong plus. What you'll do (Responsibilities) • Own the technical roadmap for Verilog/RTL‐focused LLM capabilities-from model selection and adaptation to evaluation, deployment, and continuous improvement. • Lead a hands‐on team of applied scientists/engineers: set direction, unblock technically, review designs/code, and raise the bar on experimentation velocity and reliability. • Fine‐tune and customize models using state‐of‐the‐art techniques (LoRA/QLoRA, PEFT, instruction tuning, preference optimization/RLAIF) with robust HDL‐specific evals: o Compile‐/lint‐/simulate‐based pass rates, pass@k for code generation, constrained decoding to enforce syntax, and "does‐it‐synthesize” checks. • Design privacy‐first ML pipelines on AWS: o Training/customization and hosting using Amazon Bedrock (including Anthropic models) where appropriate; SageMaker (or EKS + KServe/Triton/DJL) for bespoke training needs. o Artifacts in S3 with KMS CMKs; isolated VPC subnets & PrivateLink (including Bedrock VPC endpoints), IAM least‐privilege, CloudTrail auditing, and Secrets Manager for credentials. o Enforce encryption in transit/at rest, data minimization, no public egress for customer/RTL corpora. • Stand up dependable model serving: Bedrock model invocation where it fits, and/or low‐latency self‐hosted inference (vLLM/TensorRT‐LLM), autoscaling, and canary/blue‐green rollouts. • Build an evaluation culture: automatic regression suites that run HDL compilers/simulators, measure behavioral fidelity, and detect hallucinations/constraint violations; model cards and experiment tracking (MLflow/Weights & Biases). • Partner deeply with hardware design, CAD/EDA, Security, and Legal to source/prepare datasets (anonymization, redaction, licensing), define acceptance gates, and meet compliance requirements. • Drive productization: integrate LLMs with internal developer tools (IDEs/plug‐ins, code review bots, CI), retrieval (RAG) over internal HDL repos/specs, and safe tool‐use/function‐calling. • Mentor & uplevel: coach ICs on LLM best practices, reproducible training, critical paper reading, and building secure‐by‐default systems. What you'll bring (Minimum qualifications) • 10+ years total engineering experience with 5+ years in ML/AI or large‐scale distributed systems; 3+ years working directly with transformers/LLMs. • Proven track record shipping LLM‐powered features in production and leading ambiguous, cross‐functional initiatives at Staff level. • Deep hands‐on skill with PyTorch, Hugging Face Transformers/PEFT/TRL, distributed training (DeepSpeed/FSDP), quantization‐aware fine‐tuning (LoRA/QLoRA), and constrained/grammar‐guided decoding. • AWS expertise to design and defend secure enterprise deployments, including: o Amazon Bedrock (model selection, Anthropic model usage, model customization, Guardrails, Knowledge Bases, Bedrock runtime APIs, VPC endpoints) o SageMaker (Training, Inference, Pipelines), S3, EC2/EKS/ECR, VPC/Subnets/Security Groups, IAM, KMS, PrivateLink, CloudWatch/CloudTrail, Step Functions, Batch, Secrets Manager. • Strong software engineering fundamentals: testing, CI/CD, observability, performance tuning; Python a must (bonus for Go/Java/C++). • Demonstrated ability to set technical vision and influence across teams; excellent written and verbal communication for execs and engineers. Nice to have (Preferred qualifications) • Familiarity with Verilog/SystemVerilog/RTL workflows: lint, synthesis, timing closure, simulation, formal, test benches, and EDA tools (Synopsys/Cadence/Mentor). • Experience integrating static analysis/AST‐aware tokenization for code models or grammar‐constrained decoding. • RAG at scale over code/specs (vector stores, chunking strategies), tool‐use/function‐calling for code transformation. • Inference optimization: TensorRT‐LLM, KV‐cache optimization, speculative decoding; throughput/latency trade‐offs at batch and token levels. • Model governance/safety in the enterprise: model cards, red‐teaming, secure eval data handling; exposure to SOC2/ISO 27001/NIST frameworks. • Data anonymization, DLP scanning, and code de‐identification to protect IP. What success looks like 90 days • Baseline an HDL‐aware eval harness that compiles/simulates; establish secure AWS training & serving environments (VPC‐only, KMS‐backed, no public egress). • Ship an initial fine‐tuned/customized model with measurable gains vs. base (e.g., +X% compile‐pass rate, −Y% lint findings per K LOC generated). 180 days • Expand customization/training coverage (Bedrock for managed FMs including Anthropic; SageMaker/EKS for bespoke/open models). • Add constrained decoding + retrieval over internal design specs; productionize inference with SLOs (p95 latency, availability) and audited rollout to pilot hardware teams. 12 months • Demonstrably reduce review/iteration cycles for RTL tasks with clear metrics (defect reduction, time‐to‐lint‐clean, % auto‐fix suggestions accepted), and a stable MLOps path for continuous improvement. How we work (Security & privacy by design) • Customer and internal design data remain within private AWS VPCs; access via IAM roles and audited by CloudTrail; all artifacts encrypted with KMS. • No public internet calls for sensitive workloads; Bedrock access via VPC interface endpoints/PrivateLink with endpoint policies; SageMaker and/or EKS run in private subnets. • Data pipelines enforce minimization, tagging, retention windows, and reproducibility; DLP scanning and redaction are first‐class steps. • We produce model cards, data lineage, and evaluation artifacts for every release. Tech you'll touch • Modeling: PyTorch, HF Transformers/PEFT/TRL, DeepSpeed/FSDP, vLLM, TensorRT‐LLM • AWS & MLOps: Amazon Bedrock (Anthropic and other FMs, Guardrails, Knowledge Bases, Runtime APIs), SageMaker (Training/Inference/Pipelines), MLflow/W&B, ECR, EKS/KServe/Triton, Step Functions • Platform/Security: S3 + KMS, IAM, VPC/PrivateLink (incl. Bedrock), CloudWatch/CloudTrail, Secrets Manager • Tooling (nice to have): HDL toolchains for compile/simulate/lint, vector stores (pgvector/OpenSearch), GitHub/GitLab CI

The Project Engineer supports the Validation Engineering team by ensuring on-time execution of automotive ECU Design Verification (DV) and Validation plans. Top skills include: Creating and maintaining DV/Validation test schedules Tracking progress, risks, issues, and dependencies Using Jira, Confluence, and Smartsheet for project management The role updates documentation, collects test reports, resolves schedule blockers, and provides regular written/presentation status updates. Works cross-functionally to support validation timing, technical delivery, and team handoffs. Qualifications: BS in Electrical/Mechanical/Manufacturing Engineering or equivalent experience 3+ years in project coordination/management or electronics testing support Strong scheduling, data analysis, communication, and organizational skills Ability to work independently in fast-paced environments with aggressive timelines

Maxonic maintains a close and long-term relationship with our direct client. In support of their needs, we are looking for: Job Title 1: BMC Firmware Engineer x 15 Openings Job Title 2: BIOS Firmware Engineer x 15 Openings Job Type: Fulltime Job Location: Fremont, CA or Nashville, TN Work Schedule: Onsite Job Title 1: BMC Firmware Engineer Responsibilities: Design, develop, and maintain BMC firmware solutions using embedded C and C++ in a Linux based environment. Implement industry specifications and protocols such as OpenBMC, Redfish, IPMI, and other Distributed Management Task Force (DMTF) standards. Develop firmware to interface with server hardware components, including sensors (voltage, temperature, fan speed), power supplies, and peripherals, using protocols such as I²C, SPI, and UART. Implement key BMC features including remote monitoring, power management, event logging (System Event Log/SEL), and remote keyboard-video-mouse (KVM) access. Collaborate with hardware design and platform architecture teams to ensure proper BMC integration during hardware bring-up and validation. Maintain security measures for BMC access, including user authentication, secure firmware updates, and vulnerability prevention. Use debugging tools and methodologies to diagnose and resolve system-level issues related to BMC and hardware interaction. Prepare and maintain technical documentation, including design specifications, test plans, and release notes. Provide guidance to junior engineers and take ownership of small to mid-sized projects. Qualifications: Proficiency in C and C++ programming for embedded systems. Hands-on experience with embedded Linux and OpenBMC framework. Strong understanding of server hardware architecture and communication protocols (I²C, SPI, UART, PCIe). Ability to troubleshoot and debug complex system-level interactions. Effective communication skills for cross-functional collaboration. Ability to work independently on most assignments and provide technical leadership on smaller projects Preferred qualifications: Familiarity with DMTF standards such as Redfish, MCTP (Management Component Transport Protocol), PLDM (Platform Level Data Model), and SPDM (Security Protocol and Data Model). Experience with System-on-a-Chip (SoC) architectures, particularly ARM-based systems. Knowledge of scripting languages (e.g., Python, Shell) for automation and testing. Exposure to Agile development methodologies. Understanding firmware security principles. Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, or a related technical field. 2-5 years of hands-on embedded firmware development experience, specifically with BMC systems. Demonstrated ability to lead tasks or small projects with limited supervision. Prolonged periods of sitting at a desk and working on a computer. Ability to access and navigate various departments within the organization's facilities. Job Title 2: BIOS Firmware Engineer The BIOS/UEFI Firmware Engineer will design, develop, and debug system firmware that initializes hardware and boots operating systems. This role focuses on UEFI and BIOS development, ensuring optimal system performance, security, and hardware compatibility from power-on. The engineer will also provide technical leadership, mentor junior engineers, and collaborate across hardware, software, and security teams as part of the Engineering Services organization. Key Responsibilities Design, develop, and maintain UEFI/BIOS firmware using C/C++. Contribute to all stages of the UEFI boot process, including SEC, PEI, and DXE phases. Lead hardware bring-up for new platforms and debug hardware-firmware interactions across CPU, memory, and peripheral devices. Ensure correct initialization of key system components such as DDR, PCIe, SATA, USB, and other interfaces. Optimize boot performance and implement firmware security measures (e.g., Secure Boot, Intel Boot Guard, TPM integration). Collaborate with hardware teams to interpret schematics, datasheets, and ensure accurate hardware configuration. Use advanced debugging tools (JTAG, logic analyzers, in-circuit emulators) to troubleshoot complex issues. Participate in and lead code reviews, author technical documentation, and mentor junior team members. Partner cross-functionally with hardware, OS, and security teams to ensure system compatibility and reliability. Qualifications Strong proficiency in C/C++ programming for embedded systems. Deep understanding of UEFI architecture (EDK2 framework), x86 architecture, and system boot processes. Experience with hardware interfaces such as PCIe, SPI, I2C, and USB. Skilled in low-level debugging of boot and hardware initialization issues. Familiarity with System Management Mode (SMM), ACPI, Intel FSP, or IFWI. Knowledge of firmware security standards (e.g., NIST SP 800-193, Secure Boot). Experience with Python or other scripting languages for automation. Proven leadership skills-guiding projects, mentoring engineers, or leading technical initiatives. Excellent analytical, problem-solving, and communication skills. Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, or related field. Minimum 2+ years of BIOS/UEFI firmware development experience with demonstrated leadership responsibilities. About Maxonic: Since 2002 Maxonic has been at the forefront of connecting candidate strengths to client challenges. Our award winning, dedicated team of recruiting professionals are specialized by technology, are great listeners, and will seek to find a position that meets the long-term career needs of our candidates. We take pride in the over 10,000 candidates that we have placed, and the repeat business that we earn from our satisfied clients. Interested in Applying? Please apply with your most current resume. Feel free to contact Saurav Kumar (****************** / *************** for more details.

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the team We are the Strategic Partnerships & Affiliates team in the Expedia Product & Technology division of Expedia Group. We are building the next-generation, scalable B2B partnership platform that will power hundreds of thousands of demand partners across the industry ranging from big businesses and Enterprises to small bloggers, micro influencers and creators in helping them recommend Expedia Group brands to their audiences and in the process grow their businesses. We aim to redefine the travel partnerships sector by building innovative partner tools and solutions that incorporate the new ways in which today's travelers discover and shop travel products. To do this, we need technically passionate engineers with an entrepreneurial approach who love challenges, enjoy problem solving and take pride in delivering best-in-class products. You will work with a geo-distributed, cross functional team of 50+ engineers designing and developing solutions for complex problems with a wide-reaching business impact. In this role, you will: Design, develop, and test iOS applications and supporting components to meet functional and non-functional requirements, including performance, accessibility, and localization Lead the technical design and delivery of complex, multi-quarter projects from concept to completion Develop, test, and maintain high-quality, scalable mobile software applications and services Guide and mentor other engineers, fostering their technical growth and professional development through code reviews, pairing, and coaching Promote mobile development best practices within the organization, focusing on user experience, operational excellence, and platform-centric features Advocate for and implement operational excellence by improving code quality, establishing SLAs, and programming for resiliency and scalability Collaborate with product managers and cross-functional teams to translate business needs into clear engineering requirements and direction Analyze and optimize the performance of code and systems, using metrics and monitoring to ensure a world-class user experience Serve as a subject matter expert in your domain, sharing knowledge and guiding integrations across teams Minimum qualifications: 8+ years of experience in iOS software development with a Bachelor's degree or 5+ years of experience with a Master's degree Deep understanding of iOS development and SwiftUI Experience architecting scalable, modular, and maintainable iOS mobile architectures, leveraging common design patterns such as MVVM, VIPER Expert in API integration, Performance & Memory management Proven ability to collaborate among peers, leaders and across functions and business groups Proven ability to mentor junior engineers on the team Preferred Qualifications: Demonstrated experience integrating iOS applications with GraphQL APIs, including designing data queries, handling network responses, and optimizing for performance and reliability Proven ability to collaborate with backend teams and contribute to backend services developed in Java or Kotlin, understanding backend architecture and implementing end-to-end mobile features Demonstrated experience integrating iOS applications with 3rd party SDKs and APIs

Job Title: Manufacturing Engineer Compensation: $100,000 -$125,000 Full employer-covered medical, dental, vision, and life insurance for employee, 401(k) ** VISA SPONSORSHIP AND RELOCATION ASSISTANCE ARE NOT AVAILABLE FOR THIS ROLE ** EXPERIENCE WITH SEMICONDUCTOR MANUFACTURING PROCESSES IS A MAJOR PLUS! What You Will Be Doing: Develop and maintain detailed manufacturing process documentation including Operation Method Sheets, test procedures, test protocols, and quality checklists for electromechanical assemblies. Design custom fixtures, shop drawings and production tools to enhance efficiency, accuracy, and repeatability in manufacturing workflows. Translate engineering designs into clear instructions and shop drawings for production teams. Lead engineering build efforts and support assembly of complex control systems and modules. Partner with teams across Sales, Quality, and Production to refine manufacturing methods and improve outcomes. Identify and resolve production and quality issues through hands-on troubleshooting and structured problem-solving. Contribute to customer projects, ensuring deadlines and quality standards are consistently met. What You Bring: A bachelor's degree in Mechanical Engineering, preferably with experience in high-tech or semiconductor manufacturing. 5-8 years of hands-on experience in machining or fabrication, particularly with metals and plastics. Strong proficiency in SolidWorks and extensive knowledge of Geometric Dimensioning and Tolerancing (GD&T). A practical, problem-solving mindset with a strong mechanical aptitude and a data-informed approach. Clear and confident communication skills, with the ability to present ideas and results to both internal stakeholders and external customers. Working knowledge of manufacturing software, Excel, and standard business analysis tools. Ability to work independently, stay organized, and contribute in a fast-paced, cross-functional team environment.

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

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

About Us We are a leading UAV technology company building next-generation aerial systems for commercial, defense, and industrial applications. Our products integrate advanced flight hardware, onboard computing, mission-critical software, and cloud-connected tools. We are looking for a Senior UX Engineer who can bridge the gap between hardware, embedded systems, and software interfaces to craft intuitive, high-performance experiences for pilots, operators, and customers. Role Overview As a Senior UX Engineer, you will drive user experience strategy and execution across our full UAV ecosystem-including ground control stations, onboard interfaces, mission-planning tools, companion apps, and hardware interactions. You will collaborate with mechanical, electrical, firmware, and software teams to create unified, safe, and efficient operator experiences that work in both physical and digital environments. This role blends UX design, interaction design, and front-end engineering, with a strong emphasis on human-machine interaction, real-time systems, and complex technical workflows. Key Responsibilities User Experience & Interaction Design Lead UX research and design for mission-critical UAV experiences spanning hardware controls, embedded interfaces, web apps, and mobile apps. Translate user needs into wireframes, prototypes, interaction flows, and final design specifications. Develop and maintain a unified design system used across flight control software, cloud dashboards, and operator tools. Conduct usability testing with pilots, field operators, and customers in simulated and real-world environments. Cross-Functional Collaboration Work closely with hardware engineers to ensure physical interfaces (GCS units, joysticks, displays, buttons, feedback systems) are intuitive, ergonomic, and aligned with software workflows. Collaborate with software engineers to implement smooth, performant UI components and data visualizations for telemetry, mapping, and real-time video. Partner with product managers to define requirements and prioritize features based on user impact. Front-End Engineering Implement production-level UI features (e.g., flight status indicators, mission planning tools, live video overlays, map interactions). Build rapid prototypes using tools like React, Qt/QML, Flutter, or equivalent. Work with backend and embedded teams to integrate real-time data from UAV hardware, including sensor streams and telemetry. Safety & Human Factors Apply human-factors engineering principles to reduce operator workload and prevent misuse. Ensure interfaces meet aviation-grade clarity, reliability, and standards compliance where applicable. Required Qualifications 5+ years of experience in UX engineering, interaction design, or front-end development. Prior experience designing for hardware-software systems, embedded devices, or real-time control interfaces. Strong portfolio demonstrating complex, workflow-heavy products or mission-critical systems. Proficiency in Figma, Sketch, or similar design tools. Proficiency in modern UI frameworks (React, Vue, Angular, Qt/QML, Flutter, or similar). Familiarity with mapping tools, telemetry visualization, or real-time sensor data. Strong understanding of usability, accessibility, and human-machine interaction principles. Preferred Qualifications Experience in UAV, robotics, aerospace, automotive, medical devices, or another high-reliability field. Understanding of flight operations, autonomy, or remote control systems. Experience with hardware prototyping, 3D modeling, or designing physical interfaces. Knowledge of GIS/3D mapping, video streaming interfaces, or real-time dashboards. Familiarity with regulatory considerations (FAA, DO-178C, MIL-STD, etc.) is a plus.

We are seeking an AI Scientist /Engineer to join our team in developing and supporting materials discovery and design. The ideal candidate will have strong experience building AI-based solutions for building neural network architecture, attention mechanisms, multi-modal learning, aggregating and structuring training data, statistical theory, and cloud-based compute for parallelized, scalable, and automated workflows. Key Responsibilities: Design, develop and deploy multi-modal AI, ML, and hybrid physical-based models to solve ground-breaking material physics and design problems. Aggregate, process, transform and quality-control experimental and simulation data for modeling and analysis. Design, develop, and maintain data workflows to support materials informatics initiatives. Optimize data pipelines and model execution on parallel cloud systems (e.g., Azure, GCP, AWS). Collaborate with materials scientists, chemists, and software engineers to integrate analytics and predictive modeling into core R&D workflows. Document code, workflows, and best practices to support reproducible research. Apply AI and data analytics to optimize material synthesis and processing parameters in real-time, minimizing defects, improving consistency. Build materials-informatics pipelines combining DFT/MD simulations, high-throughput experiments, and fab/metrology data to learn process-structure-property relationships for materials used in CVD/ALD/etch equipment. Develop deep learning models for forecasting thermal, mechanical, chemical, and plasma-compatibility behavior of candidate materials. Technical Skills: Strong proficiency in programming languages like Python and C++. Experience with machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow). Knowledge of generative modeling techniques and architectures (e.g., GANs, VAEs, transformers). Knowledge of MLOps, model deployment pipelines, and CI/CD. Experience with data cleansing, preprocessing, and feature engineering Qualifications: Graduate or undergraduate degree in Computer Science, Engineering, Applied Mathematics, or a related technical field. 2-4 years of work experience (depending on educational degree) in data science, AI, machine learning, or data engineering roles. A strong foundation in the principles of materials science is essential to understand the underlying science and set up meaningful problems for AI. Expert in Python and data science libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow or PyTorch). Expertise in use of cloud-based compute environments and tools for parallel or distributed computing. Strong problem-solving and communication skills. Best Regards, Bismillah Arzoo (AB)

Specialized Coating Services "SpecCoat" is a rapidly growing company in the Tide Rock Holdings portfolio. SpecCoat is an established leader in advanced coating solutions. Our cutting-edge technologies and commitment to quality have made us a trusted partner for businesses worldwide. Our expansive expertise caters to a broad spectrum of industries including aerospace & defense, medical device, and consumer electronics. Position Summary The Senior Conformal Coating Engineer leads the development, implementation, and optimization of conformal coating processes for electronic assemblies. This role ensures high-quality standards, compliance with IPC and MIL-STD specifications, and supports cross-functional teams in production, quality, and engineering. Key Responsibilities Lead process development and improvement initiatives for conformal coating (manual, automated, parylene, and selective coating). Define and validate coating parameters, masking techniques, and curing processes. Collaborate with design and manufacturing teams to ensure coating compatibility and performance. Troubleshoot coating-related issues and drive root cause corrective actions (RCCA). Develop and maintain process documentation, including work instructions, SOPs, and validation protocols. Ensure compliance with IPC-A-610, IPC-CC-830, J-STD-001, and customer-specific standards. Support equipment selection, installation, and maintenance (e.g., PVA, Asymtek, SCS systems). Train and mentor junior engineers and technicians in coating processes Participate in audits and customer reviews as the technical subject matter expert. Monitor process metrics and drive continuous improvement Qualifications Bachelor's degree in Chemical Engineering, Materials Science, Mechanical Engineering, or related field. 5+ years of experience in conformal coating engineering, preferably in aerospace, defense, or electronics manufacturing. Strong knowledge of coating materials (acrylic, silicone, urethane, parylene) and application methods. Experience with automated coating systems and masking strategies. Familiarity with IPC and MIL-STD standards for coating and inspection. Proficiency in CAD tools, MES systems, and statistical process control (SPC). Excellent problem-solving, communication, and project management skills. Preferred Skills Experience with conveyorized coating and vacuum deposition systems. Knowledge of environmental and safety regulations related to coating materials. Hands-on experience with coating inspection tools (UV light, thickness gauges). Certification in IPC-A-610 or IPC-J-STD-001 is a plus.

Previous Pharmaceutical/Biotech experience is mandatory for this role. MMR Consulting is an engineering and consulting firm specializing in the pharmaceutical and biotechnology industries. Its services include Engineering, Project Management, and other Consulting services. MMR Consulting has offices in Canada, USA, and Australia. This is an outstanding opportunity to join our growing team, where the successful candidate will work with a group of engineers and specialists involved in project management, commissioning and qualification, of equipment, systems and facilities. The work will require working out of the client's facilities in San Francisco Bay Area, California. This role is for Bioprocess Sr. C&Q Engineer role to work on the commissioning, qualification, startup of upstream and downstream bioprocess systems/equipment in the biopharmaceutical industry, as well as process equipment in pharma/biotech industries. The ideal candidate should possess leadership skills to lead/mentor intermediate/junior engineers. Responsibilities Provide technical guidance into the commissioning, qualification and start-up of various equipment and facilities used in life science manufacturing, such as bioreactors, tanks, CIP, Buffers, Media, Chrom, TFF, washers & autoclaves, etc. Lead the development of key qualification deliverables during the project lifecycle to ensure project is well defined, and the action plan to test the system is applicable and relevant. Lead qualification processes throughout the project lifecycle such as VPP, Risk Assessments, RTM, DQ, FAT, SAT, IQ, OQ and PQ as appropriate to ensure timely completion and to ensure all quality and engineering specifications are met. Prepare protocols, execute protocols, summarize data, resolve deviations, prepare final reports. Experience with C&Q of process equipment, utilities, facilities is an asset. Thermal Validation experience is an asset. Coordinate meetings with cross-functional departments, to drive project progress, facilitate decisions, provide updates. Engage other departments, as required, for design reviews and decisions. Travel may be occasionally required for meetings with clients, equipment fabrication vendors or Factory Acceptance Testing (FATs). Work may require occasional support over shutdowns or extended hours, specifically during installation and commissioning / validation phases. Client-management (maintain key Client relationships in support of business development and pursuit of new work), project scheduling/budgeting, coordination of client and MMR resources for effective project delivery, supporting business development (providing technical support to the sales as required for proposals/opportunities), presenting at industry conferences/publishing papers etc. Visit construction and installation sites following all site safety requirements. Other duties as assigned by client, and/or MMR, based on workload and project requirements. Qualifications 8-12+ years for years of experience in commissioning, qualification or validation of various systems within the pharmaceutical/biotech industry. Excellent written and spoken English is required including the preparation of technical documents in English Knowledge of requirements for a cGMP operations, including SOPs, Change Controls, Validation. Experience with developing and executing validation projects. Risk-Based Commissioning & Qualification approaches, such as ASTM E-2500 or ISPE ICQ, is considered an asset, but not required. Experience with commissioning and qualification of biotech process equipment (upstream or downstream or both), such as some, but not all, of the following: fermentation, bioreactors, downstream purification processes (chromatography, TFF, UF) is required Experience with commissioning & qualification of process control systems (i.e. PCS, SCADA, Historians) and building automation systems (i.e. Siemens Insight / Desigo, JCI Metasys) are considered an asset, but not required. Experience with Qualification or Validation of clean utilities, ISO clean rooms, and Thermal Validation is considered an asset. Experience with preparation and execution of URS's, DQ's, RTMs, Risk Assessments, CPPs, VPPs, FATs, SATs, IOQs, NCRs, Final Reports. Ability to lift 50 lbs. Engineering or Science degree, preferably in Mechanical, Electrical, Chemical, Biochemical, Electromechanical or a related discipline. Ability to handle multiple projects and work in a fast-paced environment. Strong multi-tasking skills Salary range: 100,000$ -145,000$ based on experience. Equal Employment Opportunity and Reasonable Accommodations MMR Consulting is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our hiring decisions are based on merit, qualifications, and business needs. We are committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please let us know the nature of your request.

Day to Day: Under this position, the employee will, under only general supervision from the Project Manager, exercise independent judgment and discretion to manage the on and off site execution of daily project requirements and activities, while flexibly responding to customer demands. Value engineering, cost reduction and risk mitigation are essential requirements of each assigned project. Using sound project management techniques oversees the required day to day project execution activities of our subcontractors and field execution teams. Responsible for cost/budget allocations of projects and activities assigned. Responsibilities will include maintaining a high level of customer satisfaction while balancing the project demands and financial goals. EDUCATION AND EXPERIENCE: Bachelor's degree in Mechanical Engineering, Electrical Engineering or Construction Management is preferred and/or 4-8 years of related work and engineering experience in the Controls or Construction Industry. Strong mechanical aptitude and any technical school training. Ability to read construction blueprints and electrical schematics. Working knowledge of MS Office, Windows, File Structure, AutoCAD, VISIO. Basic TCP/IP network structure and web navigation are desired. Must be highly organized and possess the ability to work in a high paced environment with the ability to prioritize tasks to meet the schedules given by Sunbelt leadership. Demonstrates effective work delegation techniques and can provide constructive work instructions to Sunbelt, subcontractor, and other vendor personnel. Has the ability to operate independently and autonomously and take ownership of all assigned tasks. Must possess a valid California driver's license. Ability to execute their work to ensure high customer satisfaction and the highest quality deliverable. Excellent oral, written and interpersonal skills are a requirement of this position. ESSENTIAL FUNCTIONS: Develops personal intellectual and technical product knowledge specific to the needs of the business and that of specific projects. Production of controls systems design drawings, sequence of operations and submittals for lower level control systems while supporting Senior Level Design Engineers for mid-level control systems as required. Research and selection of control system peripherals and end devices as necessary. Reading and interpreting project construction drawings and specifications to ensure scope compliance. Provides value engineering and cost reduction solutions to the Project Manager. Manages the project's material procurement process and coordinates the shipments of material to the site and/or other trades for assigned projects. Selects and orders appropriate materials. Maintains and monitors material usage, cost and inventory control. Obtains lead time discounts when possible. May perform modification of previously produced controls designs to reflect field changes made during the implementation process (As-Built drawings). Manages and provides documentation for the project file including correspondence, requests for information, change orders, logs and project schedules. Change order management and upselling of scope is a requirement of this position. Manages and oversees project construction for compliance with specifications, codes, material, installation techniques, safety activities and Sunbelt standards. Develops and maintains internal project construction schedules relative our scope of work utilizing 3 rd party software programs such as MS Project as required. Manages, supports and provides oversight to all 3 rd party commissioning requirements on assigned projects. Manages the project closeout process and turnover of documentation to the Engineering group and/or PM. Manages and coordinates all aspects of our installation subcontractor's scope of work while maintaining project schedule. Manages and completes the project warranty transition process as necessary and coordinates an on-site visit for service personnel and ensures transition to service is achieved. Annual Compensation: $90,000 to $110,000. Exact compensation may vary based on several factors, including skills, experience, and education.

RTL Engineer Fulltime We are urgently seeking experienced RTL Engineers to join our team. The selected candidates will be responsible for developing and executing verification plans, building robust verification environments, and collaborating closely with design teams to ensure high-quality deliverables. Responsibilities Plan: Develop comprehensive Core Verification Plans based on micro-architecture and design specifications. Develop: Architect and implement reusable, scalable verification environments using System Verilog/UVM. Test: Create and run constrained-random and directed tests to achieve high functional and code coverage. Debug: Analyze simulation results, root-cause complex failures, and work with design teams to resolve issues. Automate: Build and maintain automation scripts (Python/Perl) to enhance verification workflows and regression management. Requirements Mandatory expertise in System Verilog and UVM. Minimum 7 years of hands-on verification experience. Strong understanding of digital logic design and verification methodologies. Experience verifying digital systems using standard IP components/interconnects (e.g., microprocessor cores, hierarchical memory subsystems). Ability to work independently and provide technical feedback to FE RTL design teams and CPU/IP micro-architects. Proficiency with industry-standard EDA simulation and debug tools. Strong debugging and root-cause analysis skills. Scripting experience (Python, Perl). Excellent written and verbal communication skills in English. Added keywords for additional candidates. HBM Memory Controller SoC DRAM TPU ARM Cortex ARM M7 There are three core expectations: Strong, independent leads Engineers who can operate with confidence, reduce dependency on the client's thin internal team, and take real ownership of blocks. Consistency and continuity We cannot afford churn - selected leads must be stable, reliable long-term contributors. Ability to scale with the program Additional phases may spin up quickly; leads should be capable of mentoring and guiding expansion teams. Thanks and Regards, Manisha Dabral Signature IT World Inc. *********************

We are actively searching for a Distributed Systems Engineer to join our team on a permanent basis. In this founding engineer role you will focus on building next-generation data infrastructure for our AI platform. If you have a passion for distributed systems, unified storage, orchestration, and retrieval for AI workloads we would love to speak with you. Our office is located in downtown SF and we collaborate two days a week onsite. Your Rhythm: Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient Tackle complex challenges in distributed systems, databases, and AI infrastructure Collaborate with technical leadership to define and refine the product roadmap Write high-quality, well-tested, and maintainable code Contribute to the open-source community and engage with developers in the space Your Vibe: 3+ years of professional distributed database systems experience Expertise in building and operating scalable, reliable and secure database infrastructure systems Strong knowledge around distributed compute, data orchestration, distributed storage, streaming infrastructure Strong knowledge of SQL and NoSQL databases, such as MySQL, Postgres, and MongoDB. Programming skills in Python Passion for building developer tools and scalable infrastructure Available to collaborate onsite 2 days a week Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!

About the job Pacific International is partnered with a rapidly growing industrial manufacturing organization undergoing significant investment in automation and large-scale capital projects. The company is seeking a hands-on Divisional Projects Engineer to lead major engineering initiatives across multiple sites. This individual will own full project lifecycles from concept and design through installation, commissioning, and start-up. The ideal candidate is a detail-oriented engineer who enjoys being on the shop floor, collaborating with cross-functional teams, and driving operational improvements across a fast-paced manufacturing environment. Responsibilities Be a consistent on-site project presence, supporting installation, commissioning, and troubleshooting while coordinating with site teams, vendors, and engineering partners. Own end-to-end project execution, including scoping, design reviews, scheduling, budgeting, and milestone management. Travel across divisional facilities to oversee projects, conduct site assessments, and manage vendor FATs, verification testing, and equipment sign-offs. Lead process improvement and efficiency initiatives across automated manufacturing lines to enhance productivity and throughput. Develop and refine engineering designs, project plans, and documentation aligned with divisional standards. Evaluate new technologies and machinery to improve capability, reliability, and long-term performance. Partner with maintenance teams as a technical advisor to resolve recurring equipment issues and support preventive and predictive maintenance strategies. Ensure safety, environmental, and regulatory compliance is built into every phase of project execution. Communicate progress clearly across stakeholders to keep projects on track and aligned with business priorities. Qualifications 4-8+ years of experience in manufacturing, engineering, maintenance, or quality roles. Bachelor's degree in engineering required; master's preferred. Proven ownership of capital or large-scale engineering projects from concept through completion. Strong background working with automated or fast-moving manufacturing environments. Comfortable with up to ~50% domestic travel to manage projects across multiple locations. Skilled in project planning, budgeting, vendor management, and cross-functional coordination. Hands-on, solutions-focused problem solver with strong communication and leadership skills. Experience with ISO-driven environments and engineering documentation practices is beneficial. Analytical, organized, and able to juggle multiple priorities while driving effective outcomes. About Pacific International: Pacific International, a globally recognized retained executive search firm, is dedicated to empowering Fortune 500, FTSE 100, and high-growth enterprises in building exceptional C-suite, senior-level, and strategic leadership teams while championing diversity and inclusion. Our adaptability, agility, and forward-thinking ethos distinguish us in the ever-evolving business landscape. Since 1997, we have been dedicated to building lasting client partnerships based on trust and reliability, and a proven track record of successful C-suite and mid- to senior-level leadership project delivery across many key industries globally. Pacific International Diversity Statement: At Pacific International, diversity, equity, and inclusion are at the core of who we are and what we do. Our commitment to these values is unwavering and we proudly champion diversity on behalf of our clients in every Executive Search mandate we undertake. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status, or other characteristics protected by law. In pursuit of these objectives, we actively encourage applications from individuals of all backgrounds and identities. Questions? Email Olivia McCrossin - ******************************************

San Francisco, CA (Onsite) About the Company A fast-moving AI research group is building the core video data infrastructure used by leading AI labs and major tech companies. The team is small at around fifteen people, nearly all engineers, and recently pivoted to focus exclusively on high-quality video data at massive scale. The shift has driven significant revenue growth, and they are now planning to expand the team steadily over the next few months. The culture is straightforward: engineering led, product focused, low ego, and built around people who enjoy ownership. They work in person five days a week in their San Francisco office, moving quickly, solving hard problems, and avoiding micromanagement. The Role This position focuses on designing and scaling distributed systems that support huge ML and ETL workloads across petabytes of video. You will own core infrastructure: compute scheduling, orchestration, throughput, reliability, cost efficiency, and the internal tooling that keeps the entire engineering group moving at pace. The company is beginning to scale its infrastructure footprint aggressively, and this role will become central to that growth. It is a hands-on IC position suited to someone who has operated critical systems before and wants to shape the foundation of a rapidly expanding platform. What You'll Work On • Architect and scale distributed systems for large-scale ML and ETL workloads • Build compute orchestration and scheduling across thousands of GPUs • Improve uptime, resilience, and execution speed of high-volume data pipelines • Design pipelines capable of handling petabyte-level video datasets • Lead the development of CI/CD and internal tooling for fast iteration • Partner closely with research engineers delivering new video models and algorithms • Operate in a high-trust environment with strong autonomy and clear ownership Requirements • 3+ years building foundational distributed systems or data infrastructure • Experience running critical systems at significant scale • Proficient across cloud architectures • Strong coding experience with Go (preferred) and Python • Background building or maintaining large-scale pipelines • Experience with ML-focused CI/CD and automation • Video domain experience is not required • Operates as a strong IC who leads through action • Fully onsite in San Francisco, Monday to Friday Culture Fit • Enjoys ambiguity, problem discovery, and self-direction • Communicates clearly and concisely • Shows strong intellectual curiosity • Low ego, collaborative mindset • Motivated by building core systems in a small, high-caliber team Red flags include weak communication, low curiosity, or unclear motivation for the domain. Interview Process Intro call focused on culture, curiosity, and communication Technical discussion on background and complexity of past work Problem-solving session with a research engineer Onsite research problem and collaboration exercise

Job Title: BIOS Firmware Engineer Job Type: Fulltime Work Schedule: Onsite Salary: 120000 - 150000/Yearly The BIOS/UEFI Firmware Engineer is responsible for the architecture, design, development, and debugging of UEFI (Unified Extensible Firmware Interface) and BIOS (Basic Input/Output System) firmware for computer systems. This role focuses exclusively on the firmware that initializes hardware and boots the operating system, ensuring compatibility, security, and performance from power-on. It emphasizes not only hands-on technical expertise but also leadership in guiding projects and supporting team members. This position is part of the Engineering Services team, which works across departments to support the engineering and operation teams with technical expertise in electronics, operational software, and systems integration. Responsibilities: Design, develop, and maintain UEFI/BIOS firmware using C and C++. Contribute to all phases of the UEFI boot process, including Security (SEC), Pre-EFI Initialization (PEI), and Driver Execution Environment (DXE). Lead effort in hardware bring-up for new platforms, debugging complex hardware-firmware interactions across CPU, memory, and peripheral devices. Ensure correct initialization of key system hardware such as DDR memory, PCIe, SATA, USB, and other interfaces. Optimize boot performance and implement firmware security measures such as Secure Boot, Intel Boot Guard, and Trusted Platform Module (TPM) integration. Collaborate with hardware engineers to interpret schematics and datasheets and ensure accurate hardware configuration. Use debugging tools (e.g., JTAG, in-circuit emulators, logic analyzers) for troubleshooting. Participate in and provide leadership during code reviews, write technical documentation, and mentor junior engineers. Work cross-functionally with hardware, operating system, and security teams to ensure system compatibility and reliability. Qualifications: Strong proficiency in C/C++ programming for embedded systems. In-depth knowledge of UEFI architecture (EDK2 framework), x86 architecture, and system boot processes. Solid understanding of hardware interfaces such as PCIe, SPI, I2C, and USB. Strong analytical and problem-solving skills. Excellent communication and collaboration skills, with demonstrated ability to work independently. Proven leadership skills, including mentoring, guiding projects, or leading initiatives. Experience with scripting languages such as Python for automation. Knowledge of firmware security standards (e.g., NIST SP 800-193, Secure Boot). Experience with low-level debugging of boot-related issues. Understanding of System Management Mode (SMM), Advanced Configuration and Power Interface (ACPI), Intel Firmware Support Package (FSP), or Intel Firmware Image (IFWI). Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, or related field. Minimum of 2+ years of BIOS/UEFI firmware development experience with demonstrated leadership responsibilities. Prolonged periods of sitting at a desk and working on a computer. Ability to access and navigate various departments within the organization's facilities. About Maxonic: Since 2002 Maxonic has been at the forefront of connecting candidate strengths to client challenges. Our award winning, dedicated team of recruiting professionals are specialized by technology, are great listeners, and will seek to find a position that meets the long-term career needs of our candidates. We take pride in the over 10,000 candidates that we have placed, and the repeat business that we earn from our satisfied clients. Interested in Applying? Please apply with your most current resume. Feel free to contact Jhankar Chanda (******************* / ************* for more details