Hardware Engineer Salary in Palo Alto, CA

About PanasonicWELL:Officially launched in July 2023, PanasonicWELL is an innovation arm within Panasonic Holdings Corporation working to build fully scalable family wellness businesses. We're working to gain insight into families' goals and to use state-of-the-art AI and other technologies to help families achieve the universal goals we all share: caring well, eating well, sleeping well, moving well, working well, and aging well. With families at the center, our intention is to build a series of interconnected products within this ecosystem to tackle challenges modern families face in today's world. "Well" describes the intersection of health and wellness including mental well-being, longevity, nutrition, sleep health, mindfulness, daily productivity, and many topics that enable people to live healthier and happier lives every day. Our definition of wellness is a combination of family harmony (as supported through our service experience) and healthspan (as supported through meeting emotional, cognitive, physical and mental wellbeing). We recognize that our mission requires the intimate privilege of being welcomed into homes with utmost data privacy, and industry-leading Responsible AI with humans in the loop to deeply understand the needs of families and how to best service those needs.About The Role:Panasonic's new division, PanasonicWELL, is hiring an experienced Sr. Product Manager with a passion for IoT connected devices to join our Product team, which will enhance the technology platform for Panasonic's Business Units in Japan. You will engage with the Engineering, Product Design, UX, QA, and Planning teams both in Japan and US to shape platform technology and roadmap definition as an advocate for technology cost while enabling feature-rich, best-in-class connected hardware products. In this role, one will focus on Panasonic devices and advocate for their continuous technological and platform improvements. Knowledge of IOT consumer devices, connected products, cloud technology, and/or lifestyle/ health app industry experience would be helpful. This position requires very strong interpersonal and relationship building skills with the ability to effectively influence peers and management especially in Panasonic Japan, as well as a solid understanding of consumer electronics architecture and cost structures. This role will work closely with Panasonic Corporate to leverage cross-company collaboration on Hardware, Technology and Consumer user stories development. Ideal candidates will bring both English and Japanese business expertise and have experience in consumer electronics companies. The PanasonicWELL division was created in April 2023 to ideate, incubate, and scale new ventures inside Panasonic while building a comprehensive AI/Data/IoT Platform exposing "everything as a service". It is a growing team of 250+ employees both in the United States and Japan intent on delivering new growth opportunities in health and wellness for Panasonic.PanasonicWELL is able to employ individuals who reside in (or that are willing to relocate to) the following states: Arizona, California, Colorado, Idaho, Nevada, Oregon, Texas, and Washington.What You'll Do:Define IoT technology and adoption strategy requirements by focusing on user-centered design, product research, technology pricing, and best in class technology for connected hardware product Defines the strategy and executes on the business and financial results for a product portfolio through the leadership of team(s) managing new and existing products by creating a differentiated customer experience utilizing traditional and emerging capabilities in technology, operations, and data analytics Collaborate closely with development/engineering, production, and business teams on the development, QA, demos and release of products and balance of resources to ensure success for the entire organization.Deep knowledge of Matter protocols and cloud technologies related to IOT. Work experience to connect IoT devices to AI engines is a plus. Collaborate, Train, and Gather product requirements from Panasonic corporate. Work closely at all levels of the organization, both in the US and Japan Determine specifications, industrial standards, and certificates such as Matter certification; production timetables, pricing, and time-integrated plans for product introduction; developing marketing strategies.Manage and perform testing and qualifying procedures in existing and new products with an in-depth understanding of the product. Identify issues and propose improvements in both hardware, firmware, and software. Deep knowledge of Agile and Epic story writing with product management skills Recommend the nature and scope of present and future product lines by reviewing industrial applications, product specifications, and requirements, appraising new product ideas, and/or product or packaging changes. Introduces and markets new products by developing time-integrated plans with sales, advertising, and production. Track, monitor, report, and improve product performance Create product requirements for the engineering and support teams to refine, improve, or enhance existing features and quality Hold regular executive forums to review/discuss trending cost vs targets and drive opportunities for cost & design optimization Manage product cost to achieve pricing and margin targets; set individual cost targets for each component/module Support product integration & feasibility scenarios, ROI analyses, supply chain optimization investigations, environmental implication assessments, etc.What You'll Bring:Bachelor's degree in Engineering, Computer Science, Information technology, or Product design. 5+ years of product management experience, marketing development, and successful product launches in Consumer Electronics companies. Excellent Communication Skills -including communicating with strictly business-minded people and with strictly technical-minded people, comfortable getting into deep technical discussions with engineers (and users) about the pros and cons of different approaches. User-Centric Attitude- must be able to identify the technical aspects that can contribute to the user's success. Ability to translate user-centered concepts and product roadmap into a technical product requirements or product specifications document. Systematic Thinker- must have experience determining the best course of action based on the whole picture. Strong Business acumen, the ability to understand company strategy and economic drivers. Work experience in Japan or fluency in Japanese is a plus. Experience working within Panasonic or the Panasonic family of companies is a plus.What We Offer:The future of work at PanasonicWELL is flexibility. Like many other leading Silicon Valley based businesses, we follow a hybrid workplace model post-pandemic. We believe this model is consistent with our goals of fostering a highly collaborative culture, promoting employee well-being, and developing a workplace that is engaging, equitable, and innovative.Local (Bay Area) employees are expected to come into the office on Mondays & Wednesdays and optional on the other days of the week. Fully remote (Work From Home) employment may be available for select positions.This position may be eligible for participation in our employee bonus program. Grade level and salary ranges are determined primarily through the scope and complexity of the role along with a review of the applicant's experience and skills, as well as alignment with geographic market data and equity with other team members. Employee benefits include:Opportunity to join a hyper-growth startup on a mission to make well-being attainable for modern familiesCompetitive compensation Comprehensive benefits (Medical, Dental, Vision, HSA, FSA)401(k) with employer match Life & Short Term Disability InsuranceSupplemental Medical CoverageUnlimited PTO 12 Company Holidays Paid Maternity & Parental LeavePaid Caregiver Leave Employee Assistance ProgramGroup and 1-on-1 Career CoachingPet InsuranceCasual Dress CodeCatered Lunch & Snacks Discounts on Panasonic productsCompany Social EventsWe are proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity, sex, sexual orientation, national origin, disability status, protected veteran status, and any other characteristic protected by law or company policy. All qualified individuals are required to perform the essential functions of the job with or without reasonable accommodation. Pre-employment drug testing is required for safety-sensitive positions or as may otherwise be required by contract or law. Due to the high volume of responses, we will only be able to respond to candidates of interest. All candidates must have valid authorization to work in the U.S. Thank you for your interest.

**********************WE DO NOT ACCEPT C2C APPLICANTS***************Job title - Hardware Design Engineer Location - San Jose (onsite)Our client, a very well-known router and PC board manufacturing company is looking for Hardware Board Design Engineer.Minimum Requirements:BSEE or BS in Computer/Electrical Engineering with 8+ years of related experience or MSEE with 6+ years of related experienceExperience with High-Speed Network Interfaces (10G/25G/100G/400G)Must have experience with high-speed SERDES (>=25G) system design, signal integrity issues, and power distribution techniquesExperience with Network Switches and RoutersDemonstrated experience working with ODMs and overseas multi-functional teams.Ability to interface with other cross-functional teams, including CAD, FPGA, Power, Mechanical, Signal integrity and Manufacturing teams.Hands on board design knowledge, familiar with design tools including Cadence Concept, and AllegroExperience with lab bring up and design validation.Excellent verbal and written communications skills.Desired Qualifications:VerilogPerl ScriptingCAD ToolsJob title - Lab Hardware Engineer (Lab Work)Location - San Jose (onsite)The position involves candidate working in Client's Lab, participation and contribution in all phases of hardware diagnostics development, from design inception through coding and delivery to manufacturing.Key SkillsBoard design skill sets requiredWorking on schematic capture, brought up board in the labsignal capture toolstrouble shoot if a board is not workinguse diagnostic software to bring up a boardanything else is a plus.comfortable w/lab equipmentschematics - work with CAD team not necessarily design2- 5 years experience in the similar field is preferredfamiliar to drawn diagnostics software on board and follow diagnosebasic trouble shootingconcert RCADsome familiarity w/boardWe are not looking for expertise in ASIC - components (FPGA components from board design point of view, not RTL or coding. that's not required. Does not need to have networking background.

Job Description: We are seeking a Sr Algorithm Engineer for a very important client.we are looking for talented team members to help us deliver our advanced computer vision algorithms to tomorrow's intelligent video products Studying industry trends across deep learning and computer vision, we create new ideas and concepts for HDR tone mapping and low light image processing Our team works closely with all members of our high-level software, compiler and SoC design teams, thus our team clearly communicates in both verbal and written form.For this current position, we are looking for an engineer with strong background in image processing or computer vision to join an exciting cross-functional team to deliver the next generation of Companies computer vision processors.You will be:* Developing Deep Learning / Machine Learning methods for HDR tone mapping, image super resolution, image noise reduction, image classification, object recognition, sematic segmentation* Training and optimizing deep learning based computer vision algorithm* Optimizing performance on embedded hardware accelerators* Validating large-scale datasets.#PandoRequirement:The ideal candidate will possess the following qualifications:**COVID vaccination is mandatory***MUST HAVE SoC (System on Chip) experience to be considered! You are a great fit if you have:* PhD/MPhil Degree in Computer Science / Optical Engineering / Computer Engineering / Electronic Engineering / Mechanical Engineering/ Information Technology / Mathematics / Physical or relevant disciplines and 5+ years working experience* Strong programming skills in Python, C/C++. Matlabis a plus* Experience in Image Quality Tuning, Image processing algorithm, and digital imaging* Experience with deep learning and its applications to computer vision or image processing* Experience with advanced data augmentation and sample synthesis* Experience with AI training data distribution analysis, training process optimization and feature reduction* Study advanced convolution neural network architecture, transformer model* Experience in developing or using deep learning frameworks (e.g Tensorflow, Keras, Caffe, PyTorch, ONNX, etc.)The base salary range is $150,000- $250,000 Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.PandoLogic. Keywords: Algorithm Engineer, Location: Palo Alto, CA - 94302

Manufacturing output is half of Gross World Product, but 20% of its resources are spent on scrap, rework, and mistakes. Our technology accelerates how the world's best brands bring new products to market by collecting unique data from assembly lines and feeding it to AI-powered software tools to find and fix manufacturing issues. Our mission is to empower teams to build better products, in less time, with less waste. Brands like Bose, Cisco, and SolarEdge use our technology to optimize their manufacturing processes and deliver superior products in less time.Our new Software Team Lead Manager will be a player-coach for a team of experienced edge-device software engineers. Our edge devices are mission critical for our manufacturing customers. They must be highly fault-tolerant to ensure no interruptions to the manufacturing line. The high uptime requirements from our customers means that the Edge Computing team owns the entire software stack for a fleet of worldwide computers and sensors that capture critical manufacturing data - including an operator-facing application (TypeScript, Node.js), a custom operating system (Linux-based), and the networking and infrastructure to support the fleet.In addition to working on the technical details with your team, you'll also partner with other cross-functional leaders on our Engineering, Product, and Operations teams to unlock new manufacturing use cases and industries, simplify device provisioning and updates, and ensure that our systems are robust, reliable, and secure.What You Will Do:People Management: 50% of your time will be helping our software engineers prioritize, be productive, and grow in their technical mastery and careers.Hands-on Engineering: 50% of your time will be engineering work, including periodic production support to resolve customer issues.Edge Computing Roadmap Execution: Partner with the Edge Compute, Product, and R&D teams to plan and execute against the Edge Computing roadmap.Thought Leadership: Represent our Edge Computing software function internally to our teams and leadership and externally to our customers and partners.Continuous Process Improvement: As an engineering manager, you'll be responsible for monitoring and continuously improving the team's velocity, quality, and value delivered to customers.We'd Love to Chat if You Have:Track record of building and shipping production software systems for 5+ years. You're an engineer and a problem solver at the core.5+ years of managing people, including both early-career and seasoned engineers.5+ years leading teams on both customer-facing and technical initiatives. We're looking for candidates that can demonstrate technical mastery but also empower their teams to innovate.A demonstrated passion for understanding and solving customer problems in prior roles - you understand customer use cases and requirements to ensure what you deliver has maximum impact.You can effectively communicate with diverse audiences, including engineers, product, executives, customers, etc.Proficiency in one or more systems programming languages, C, C++, Rust, etc., and a web stack.Proficiency in one or more scripting languages: Python, Bash, etc.Experience developing Linux systems and the associated tools: Buildroot, Yocto, Docker, etc.Bonus Points:Support and maintenance of buildroot-based operating systemNetwork protocols and common topologiesSystem, application, or network securityOTA updates of Linux devicesHardware or manufacturingApplication development using Docker, Node.js and C++ native modules, SQLite, GraphQL, and Angular.This position requires access to items and data that are developed under U.S. government contracts and subject to dissemination controls that limit access to U.S. citizens only. We're a growing team that works collaboratively, supports each other, and is energized by having impact. We value passion and the ability to learn - you're encouraged to apply even if your experience doesn't match the job description precisely!The following is a representative annual base salary range for this position within the Bay Area: $223-243k. Job level and salary opportunities are evaluated through our interview process. Instrumental offers a highly-rated variety of benefits, including health, vision, dental, commuter plans, and parental leave.

Will test, debug, and verify in-house chip design as a member of the verification team; create the Universal Verification Methodology (UVM) testbench that is written in System Verilog to verify the functionality and performance of the chip; examine the interrupt, register access, and Direct Memory Access (DMA) functionality in a full chip simulation with Praveen; verify the detailed feature of a device link controller module with team members; collaborate across company's verification teams to bring up new verification methods and test plans; engage in design-verification cross-team reviews to come out better solution for the hardware bug.A Master's degree in Electrical Engineering or Electrical Engineering and Computer Science, or Electrical and Computer Engineering, or Computer Engineering, or a related field is required.Please copy and paste your resume in the email body do not send attachments, we cannot open them and email them at candidates at placementservicesusa.com with reference #379555 in the subject line.Thank you.

Job Description:We are looking for an experienced Lead Generative AI Engineer to train, optimize, scale, and deploy a varietyof generative AI models such as large language models, voice/speech foundation models, vision andmulti-modal foundation models using cutting-edge techniques and frameworks. In this hands-on role, you willarchitect and implement state of art neural architecture, robust training and inference infrastructure toefficiently take complex models with billions of parameters to production while optimizing for low latency,high throughput, and cost efficiency.Key Responsibilities:1. Architect and refine foundation model infrastructure to support the deployment of optimized AImodels with a focus on C/C++, CUDA, and kernel-level programming enhancements.2. Implement state-of-the-art optimization techniques, including quantization, distillation, sparsity,streaming, and caching, for model performance enhancements.3. Spearhead the development of Vision pipelines, ensuring scalable training and inference workflows of10s and 100s of billions of parameter foundation models.4. Should be able to innovate for the state-of-the-art architectures involving Panoptic Segmentation,Image Classification and Image Generation. It is expected that the candidate experiments with theinternals of Vision Transformers and convolutional Models like ConvNext, CLIP, Visual QuestionAnswering (VQA) and Diffusion Models. Practice around AI Arts, Image Prompts, Conditional ImageGeneration will be an additional advantage.5. Execute training and inference processes with a key emphasis on minimizing latency and maximizingthroughput, utilizing GPU clusters and custom hardware.6. Innovate on current model deployment platforms, employing AWS, GCP, and GPU clusters, to enablehigh scalability and responsiveness.7. Integrate and tailor frameworks such as PyTorch, TensorFlow, DeepSpeed, and FSDP for theadvancement of super-fast model training and inference.8. Advance the deployment infrastructure with MLOps frameworks such as KubeFlow, MosaicML,Anyscale, Terraform, ensuring robust development and deployment cycles.9. Enhance post-deployment mechanisms with exhaustive testing, real-time monitoring, andsophisticated explainability and robustness checks.10. Drive continuous improvement initiatives for deployed models with automated pipelines for driftdetection and performance degradation.11. Lead the charge in model management, encompassing version control, reproducibility, and lineagetracking.12. Cultivate a culture of high-performance computing and optimization within the AI/ML domain,propagating best practices and knowledge sharing.Qualifications:1. Ph.D. with 5+ years or MS with 8+ years of experience in ML Engineering, Data Science, or relatedfields.2. Demonstrated expertise in high-performance computing with proficiency in Python, C/C++, CUDA, andkernel-level programming for AI applications.3. Extensive experience in the optimization of training and inference for large-scale AI models, includingpractical knowledge of quantization, distillation, and Vision Pipelines.4. It will be of additional benefit if the Candidate understands Diffusion Models (DDPM), VariationalAutoencoders, Bayesian Modelling, Stochastic Variational Inference (SVI) and ReinforcementLearning.5. Experience in building 10s and 100s of billions of parameters generative AI foundation models6. AI training job scheduling, orchestration, and management via SLURM and Kubeflow.7. Proven success in deploying optimized ML systems on a large scale, utilizing cloud infrastructures andGPU resources.8. In-depth understanding and hands-on experience with advanced model optimization frameworks suchas DeepSpeed, FSDP, PyTorch, TensorFlow, and corresponding MLOps tools.9. Familiarity with contemporary MLOps frameworks like MosaicML, Anyscale, Terraform, and theirapplication in production environments.10. Strong grasp of state-of-the-art ML infrastructures, deployment strategies, and optimizationmethodologies.11. An innovative problem-solver with strategic acumen and a collaborative mindset.12. Exceptional communication and team collaboration skills, with an ability to lead and inspire.