Engineering Jobs in Santa Clara, CA

About GMI Cloud

GMI Cloud is a fast-growing AI infrastructure company backed by Headline VC and one of only six cloud providers worldwide to earn NVIDIA’s prestigious Reference Platform Cloud Partner designation .

We are operating hundreds of megawatts of AI-ready data center capacity across North America and a growing AI Factory footprint in Asia, delivering a full spectrum of services from GPU compute service to AI model inference API solutions. As an NVIDIA six global Reference Platform Cloud Partner, our infrastructure meets the highest standards for performance, security, and scalability in AI deployments.

We empower AI startups and enterprises to “build AI without limits,” providing everything they need to prototype, train, and deploy AI models quickly and reliably.

Role Overview

The Senior Account Director – Hyperscalers owns GMI Cloud’s relationships with:

• Microsoft Azure AI Infrastructure
• Google Global DC / 3rd-Party DC Ops
• Meta Data Center Strategy & Planning
• Anthropic Infrastructure & Capacity Delivery
• Oracle Cloud Infrastructure (OCI) DC Planning
• OpenAI Compute Infrastructure Strategy and other hyperscaler AI infrastructure teams.

Your mission is to drive multi-year, multi-MW, take-or-pay capacity agreements, enabling those organizations to scale AI compute with GMI’s GPU cloud and data center platform. This is a highly strategic role requiring deep industry knowledge, credibility, and a proven ability to work with Director–VP level infrastructure leaders.

What You Will Do

1. Build and own relationships with hyperscaler infrastructure decision-makers

• Engage Director/VP-level leaders in AI infra, DC planning, capacity engineering, and compute procurement.
• Serve as a trusted partner on AI infrastructure scaling, budget cycles, and long-term planning.

2. Drive multi-year strategic GPU capacity deals

• Structure and negotiate multi-MW GPU cluster contracts across H200, B200, B300, GB200, GB300.
• Lead offer design: capacity reservations, take-or-pay agreements, global region planning.

3. Navigate hyperscaler procurement and internal workflows

• Understand vendor onboarding, RFP/RFQ cycles, security reviews, compliance, and infra governance.
• Work closely with engineering, infra ops, DC build teams, and finance stakeholders on the customer side.

4. Partner internally with GMI SA / Infra / Ops / DC teams

• Align customer requirements with GMI’s global capacity roadmap.
• Coordinate technical validation, POC, readiness checks, and deployment schedules.
• Ensure smooth execution from contracting to delivery.

5. Drive account growth and long-term partnerships

• Develop joint roadmaps with hyperscalers for future MW expansion.
• Build multi-region execution plans across US West, Central, East and APAC/TW AI factories.
• Own quarterly business reviews, strategic planning, and long-term renewals.

What We’re Looking For

Experience & Track Record

• 10+ years in AI cloud, hyperscale infrastructure, data center, HPC, or GPU cloud industries.
• Proven success closing large-scale infrastructure or multi-year capacity deals.
• Existing relationships or prior work with hyperscaler DC / infra teams is a major plus.

Industry Background (ideal pools)

Experience at one or more of the following:

• GPU Cloud / AI Compute
• Energy-to-AI & DC Operators
• Global DC & Colo Providers

Technical & Business Skills

• Strong understanding of AI compute, GPU roadmaps, cluster architecture, IB/RoCE networks, and DC power/cooling fundamentals.
• Familiar with hyperscaler capacity planning, multi-year budgeting, procurement, vendor management, and infra governance models.
• Ability to translate complex technical requirements into clear commercial agreements.

Soft Skills

• Executive communication at Director–VP level.
• Ability to influence cross-functional stakeholders across engineering, infra ops, DC, and finance.
• High integrity, low-ego, strategic, relationship-driven mindset.

Success Metrics

• MW of contracted GPU capacity (take-or-pay / reserved capacity).
• Multi-year revenue from hyperscaler portfolio.
• Region coverage and expansion (US + APAC/TW).
• Deal velocity and execution quality.
• Strategic depth of customer partnership.

Location & Travel

• Bay Area based (preferred).
• ~10% travel to customer sites, DC partners, and industry events.

Technical Lead / Platform Engineer

GenAI Healthcare SaaS Platform

Palo Alto, CA (Hybrid – 3 days onsite)

About the Role

We’re building a next-generation generative AI platform purpose-built for healthcare — and we’re looking for a hands-on Technical Lead to help architect and scale it from the ground up.

This is not a “manage from a distance” role. You’ll be deeply involved in system design, writing production code, guiding engineering direction, and making foundational technical decisions that shape the future of the platform. You’ll work closely with leadership and product to turn complex healthcare AI requirements into scalable, reliable infrastructure.

If you’ve led engineering efforts for production-grade AI systems and enjoy building high-performance teams and platforms, we’d love to talk.

What You’ll Own

• Architect and evolve the core infrastructure for a scalable AI-powered SaaS platform
• Lead development of backend services and ensure clean integration across systems
• Write high-quality, maintainable code with long-term scalability in mind
• Establish engineering best practices across architecture, CI/CD, monitoring, and DevOps
• Guide and mentor engineers while maintaining a strong individual contributor presence
• Define infrastructure automation strategies (IaC, provisioning, deployment workflows)
• Drive performance, reliability, and observability standards
• Partner with product and leadership to translate vision into executable technical milestones

What We’re Looking For

Core Experience

• 8+ years building and shipping production software
• Prior experience leading engineering initiatives or managing technical direction
• Proven track record scaling a generative AI system or AI-enabled platform in production
• Strong backend engineering background in Python
• Additional proficiency in TypeScript or Java
• Experience with a modern compiled language such as Go or Rust
• Deep knowledge of microservices architecture and RESTful API design
• Hands-on expertise with one major cloud provider (AWS, GCP, or Azure)
• Strong experience with Infrastructure as Code (Terraform preferred)
• Advanced DevOps knowledge: CI/CD, automated deployments, monitoring, alerting
• Experience containerizing and orchestrating services with Docker and Kubernetes

Leadership & Execution

• Comfortable setting technical direction while staying hands-on
• Strong communicator who can explain complex systems clearly
• Experience mentoring engineers and elevating engineering standards
• Ability to operate in a fast-moving, startup environment

Nice to Have

• Experience building or deploying ML/AI systems (TensorFlow, PyTorch, etc.)
• Strong GCP background (bonus if you’ve worked across AWS/Azure as well)
• Familiarity with frontend frameworks like React, Angular, or Vue
• Experience working in healthcare, health tech, or regulated industries

Work Environment

This role is based in Palo Alto with a hybrid schedule (3 days per week onsite). We provide daily meals and foster a collaborative, high-performance engineering culture.

Compensation & Benefits

• Base salary range: $220,000 – $280,000, depending on experience and location
• Meaningful equity package
• Medical, dental, and vision coverage
• Flexible hours
• Hybrid work environment
• Opportunity to help shape the future of AI in healthcare

If you're excited about building a production-grade AI platform that directly impacts patient outcomes — and want to help define the technical foundation of a category-defining company — let’s talk.

We are partnering with a well‑established construction firm to find a Proposal/Marketing Manager who can lead major pursuits and elevate the company’s competitive positioning. This role is ideal for someone who combines strategic thinking, strong writing skills, and the ability to coordinate complex, deadline‑driven efforts across multiple teams.

You’ll work closely with executive leadership, preconstruction, and operations to shape pursuit strategy, guide proposal development, and ensure the firm stands out in both public and private sector markets.

What You’ll Do

• Take ownership of major pursuits from early planning through final submission and interviews.
• Partner with executives to evaluate opportunities and guide overall win strategy.
• Develop clear messaging, themes, and differentiators tailored to each client and project.
• Write and refine proposal content, ensuring it’s compelling, compliant, and aligned with the firm’s brand.
• Coordinate input from subject matter experts across the business and prepare teams for shortlist presentations.
• Mentor proposal and marketing team members and help build consistent processes, templates, and standards.
• Track pursuit activity, performance metrics, and lessons learned to continually strengthen the pursuit approach.
• Support broader business development efforts through research, positioning, and client‑focused messaging.

What We’re Looking For

• Bachelor’s degree in Marketing, Communications, Construction Management, or a related field (Master’s a plus).
• 7+ years leading proposal efforts within construction, engineering, or similar professional services.
• Experience managing large, complex pursuits with a strong understanding of various construction delivery methods.
• Excellent writing, editing, organization, and project management abilities.
• Confident working with senior leaders and facilitating strategy conversations.
• Proficiency with Microsoft Office, Adobe Creative Suite, and CRM/proposal tech tools.
• Comfortable navigating tight deadlines and fast‑moving pursuit cycles.

Interested?

If you thrive in a strategic, collaborative role and enjoy shaping winning proposals, we’d love to connect. Please click "apply" now and we’ll reach out to discuss the position further.

Lead Engineer (Foundry)

We’re seeking a Lead Engineer / Senior Lead Engineer to join a rapidly growing, vertically integrated real estate investment and operating platform. This role sits at the intersection of technology, operations, and investment strategy and is designed for an engineer who wants to build software that directly impacts business performance.

Unlike traditional engineering roles, this position is deeply embedded with Asset Management, Property Operations, and Construction teams. You’ll work closely with executive leadership and business users to design, deploy, and iterate on software solutions that improve NOI, reduce costs, and enhance portfolio performance. This is a hands-on builder role. You will write code, automate workflows, integrate data pipelines, and build dashboards—working shoulder‑to‑shoulder with the teams using the tools you create.

Salary & Benefits

• Base Salary Pay Range: $120k-$145k per year
• Discretionary bonus BOP after 1 year of service
• Paid Time Off (starting at 10 days + 2 floating holidays / 96 Hours, accrued)
• A flexible health plan offering medical, dental, and vision benefits
• 401(k) Savings Plan

Responsibilities

Embed With Business Teams

• Work day‑to‑day with property managers, asset managers, and finance teams
• Identify operational inefficiencies, data gaps, and workflow breakdowns

Rapid Prototyping and Deployment

• Design and build scripts, dashboards, automations, and integrations
• Deliver practical tools that solve problems in real time

Systems Integration

• Connect platforms such as property management systems, ticketing tools, analytics platforms, spreadsheets, and custom databases into unified workflows

Operational Analytics

• Build models for rent roll forecasting, delinquency tracking, CapEx planning, and maintenance cost monitoring

AI and Automation

• Apply AI to summarize tenant communications, flag high‑risk accounts, and optimize leasing and maintenance workflows

Outcome Measurement

• Track and report the business impact of solutions, including response times, collections, and cost efficiency

Cross‑Functional Leadership

• Serve as a translator between investment professionals and technical stakeholders
• Ensure solutions are scalable, practical, and aligned with business priorities

Minimum Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Engineering, or a related field
• 3+ years of experience in software engineering, data engineering, or applied analytics
• 1+ year of hands‑on experience with Palantir Foundry or Gotham
• Strong SQL and Python skills; experience with APIs and ETL pipelines (PySpark a plus)
• Excellent analytical and problem‑solving skills
• Strong communication skills with the ability to explain technical concepts in business terms

Key Skills and Competencies

• Clear, articulate communicator with strong documentation habits
• Highly analytical with strong qualitative judgment
• Able to prioritize effectively and meet deadlines
• High standards of excellence and ethics
• Comfortable identifying issues and driving solutions independently
• Strong critical thinking and decision‑making abilities
• Naturally inquisitive; asks the right questions and challenges assumptions
• Goal‑oriented, diligent, and execution‑focused

Equal Opportunity Employer/Veterans/Disabled

To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to 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

HCLTech is looking for a highly talented and self-motivated Electronics Lab Technician to join it in advancing the technological world through innovation and creativity.

Job Title: Electronics Lab Technician

Job ID: 70388

Position Type: Full Time

Location: Milpitas, CA

Key Responsibilities

1. Material Logistics

• Organize, retrieve, and prepare (kit) electronic components for shipments to Plexus and the local shop.
• Support assembly and repair operations by ensuring timely availability of required materials.

2. Component Tracking & Inventory Management

• Track, manage, and maintain inventory of electronic components.
• Ensure accurate availability for builds, prototypes, and engineering development tasks.

3. Lab Organization

• Reorganize and maintain lab spaces to support multiple hardware development programs.
• Ensure work areas are clean, efficient, and aligned with engineering workflows.

4. Documentation Support

• Create, update, and maintain documentation required for IDA PCB release.
• Assist engineers in maintaining accurate and current build records.

5. Electronics Assembly & Testing

• Perform hands-on electronics assembly tasks.
• Execute electrical and functional test procedures following established guidelines.

6. Test Fixture Builds

• Assemble test fixtures by following pre-defined procedures and interconnect diagrams.
• Ensure fixture accuracy and reliability for testing activities.

7. PCB Rework & Hardware Modification

• Perform soldering and rework on printed circuit boards (PCBs).
• Execute basic hardware modifications as required.

8. Lab Equipment & Workflow Familiarity

• Operate common electronics test equipment (oscilloscopes, power supplies, DMMs, etc.).
• Follow standard lab workflows and safety practices.

Pay and Benefits

Pay Range Minimum: $83000/Year

Pay Range Maximum: $128000/Year

HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation.

Compensation and Benefits

A candidate’s pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.

How You’ll Grow

At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

About the Company

We are hiring a Data Privacy Manager to join the Security team and support the execution of a global privacy program. This is a hands-on, manager-level role focused on privacy operations, product privacy reviews, and cross-functional execution — not a policy-only or purely legal position. The role partners closely with Security, Product, Legal, and Go-To-Market teams to embed privacy-by-design into how products are built, launched, and operated.

About the Role

This role is focused on privacy operations, product privacy reviews, and cross-functional execution.

Responsibilities

• Privacy Operations
• Support and help run the DSAR program end-to-end, including intake, verification, fulfillment, timelines, and documentation
• Manage cookie consent and preference management across web and product surfaces
• Maintain records of processing activities (RoPA) and support data inventories
• Ensure privacy processes are documented, repeatable, and audit-ready

• Product & Engineering Privacy
• Partner with Product and Engineering to embed privacy-by-design into the SDLC
• Review data flows, architectures, and new features for privacy risk
• Support DPIAs and privacy risk assessments for new products, integrations, and AI features
• Help define data minimization, retention, and deletion requirements

• AI & Emerging Technology Privacy
• Support responsible data use across AI, ML, analytics, and automation
• Assist in defining guardrails for model training vs. inference data
• Partner with Security on AI governance and evolving regulatory expectations

• Privacy Tooling
• Operate and help optimize privacy tooling (DSAR platforms, consent/cookie tools, data mapping tools)
• Support integrations between privacy tools and internal systems
• Help scale privacy operations through automation and tooling improvements

• Cross-Functional & Customer Support
• Support customer privacy questionnaires and security reviews
• Partner with Sales and Customer Success on privacy commitments and responses
• Assist with audits, regulatory inquiries, and internal reviews

• Third-Party Privacy Risk
• Support privacy reviews of vendors and subprocessors
• Assist with vendor due diligence and subprocessor tracking
• Help maintain subprocessor disclosures as required

Qualifications

• 4–6 years of experience in data privacy, privacy operations, security, compliance, or a related field
• Working knowledge of GDPR, CCPA/CPRA, and global privacy principles
• Hands-on experience with DSARs and consent/cookie management
• Experience supporting DPIAs or product privacy reviews
• Ability to translate regulatory requirements into practical guidance
• Comfortable working cross-functionally with Security, Product, and Legal teams

Required Skills

• Experience in SaaS, AI, or data-intensive environments
• Familiarity with privacy tools such as OneTrust, TrustArc, BigID, or Transcend
• Privacy certifications (CIPP/E, CIPP/US, CIPM)
• Mandarin proficiency is a plus, particularly for collaboration with global or APAC-based teams
• Experience supporting enterprise customers or audits

Pay range and compensation package

Compensation ranges from $155,000 to $180,000, with total earnings based on an OTE (On-Target Earnings) basis. The amount will depend on relevant experience, demonstrated expertise, and overall fit for the role, aligning with market benchmarks and internal equity.

Equal Opportunity Statement

We are an equal opportunity employer and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Operations Program Manager (Retail Operations)

Location: Cupertino, California (Hybrid – 3 days onsite: Tuesday, Wednesday, Thursday)

Duration: 6+ Months

We are looking for an experienced Program Manager to lead global SMB operational programs and improve how small and medium business customers are served across retail and online channels.

Key Responsibilities:

• Lead cross functional programs across Product, Engineering, Supply Chain, and Marketing

• Drive CRM strategy, roadmap priorities, and system adoption (Salesforce or similar)

• Analyze CRM and sales data to improve operations and customer experience

• Launch operational initiatives such as trade in programs and customer feedback programs

• Build scalable processes and support field teams across global regions

Requirements:

• 5+ years experience in Program Management, Strategic Operations, or Consulting

• Strong experience with cross functional program execution

• Experience with CRM platforms such as Salesforce

• Strong analytical and communication skills

• Experience in Sales Operations, B2B programs, or Retail Operations preferred

• Identify the top 3-5 constrained work centers and provide an executable Production Schedule and manage detailed production schedules for those W/C’s.  Work with Production leadership to manage and address the constrained work centers.
• Review and release job orders to the floor based on production readiness criteria
• Report on production control KPI’s – job orders released and on time releasing
• Design, build and maintain integrated master schedules, and generates accurate and timely reports for analysis of capacity utilization
• Facilitate daily meetings as needed with key stakeholders to review the execution of the schedule
• Conduct RCCP (Rough Cut Capacity Planning) for the top 3-5 constrained work centers and other areas that are near capacity.  Report the status to the appropriate departments and personnel to show what capacity is available to support upcoming customer sales order requirements. 
• Through analysis and discussion with Engineering and Production personnel, set and maintain production parameters, i.e. standards, to support the development of an executable schedule.
• Isolate and drive the resolution of work order quantity variances and material remnants.
• Support Customer Service, Engineering and sales revenue objectives by working collaboratively to develop the production schedule.
• Ensure there is adequate sprint capacity for rapid product development, strategic expedites and similar work, as well as spikes in demand
• Identify and lead continuous improvement efforts to streamline processes and procedures to remove non-value-added effort in the master scheduling process
• Ability to determine safety stock levels along with economical build quantities
• Other duties and responsibilities as assigned by Department Manager/Supervisor

• Bachelor’s degree (BA / BS) in related field or equivalent
• 5+ years of Master Scheduling experience or 3 years Master Scheduling experience plus 2 years directly related experience.
• APICS Certification – completed or in process
• Fluent in ERP Software, MRP, Scheduling and Planning systems (5+ yrs Preferred)
• Lean manufacturing / six-sigma training and demonstrated experience
• Experience leading Sales & Operations Planning (SOP) or SIOP
• Must be proficient in Microsoft Office including, but not limited to Word, PowerPoint, Excel and Outlook
• Strong organizational, problem-solving and analytical skills
• Working knowledge of data collection, data analysis, evaluation and scientific method
• Proven ability to handle multiple projects and meet deadlines

HCLTech is looking for a highly talented and self- motivated [AI Success Engineer] to join it in advancing the technological world through innovation and creativity.

Job Title: [AI Success Engineer]

Job ID: (70183)

Position Type: Full-time

Location: Dallas, New jersey, Santa Clara, Seattle

Background:

Role Title

AI Success Engineer – Enterprise Technical Success (OpenAI / ChatGPT / Agents / API)

Location: Dallas, Santa Clara, Seattle, New jersey, Houston

Role Summary

AI Success Engineers are the primary post-sale technical owners for customer outcomes. They operate as trusted technical advisors who ensure customers deploy, adopt, and scale OpenAI capabilities into real workflows with measurable business value.

This role blends technical depth, program leadership, customer advisory, and product influence—driving account health, adoption velocity, and production readiness across OpenAI’s platform suite.

Key Responsibilities

1. Post-Sale Technical Ownership & Account Health

• Own technical success for a portfolio of strategic enterprise customers

• Act as customer-facing technical lead across deployment, adoption, and value realization

• Define and drive customer adoption roadmaps with milestones and KPIs

• Maintain strong stakeholder relationships across executive and practitioner levels

2. Workflow Discovery & Use Case Strategy

• Embed with customer teams to map workflows, pain points, and success criteria

• Identify, validate, and prioritize high-impact use cases

• Guide use case sequencing from prototype → pilot → production → scale

3. Deployment Readiness & Technical Enablement

• Guide architecture configuration and platform setup (SSO/SCIM, RBAC, connectors, etc.)

• Advise on integration patterns (RAG, tool calling, agents, evaluations)

• Run technical enablement sessions spanning ChatGPT Enterprise, API, agents, Codex as applicable

4. Program Coordination & Cross-Functional Navigation

• Coordinate account workstreams across Architecture, Adoption, Engineering, and Delivery teams

• Surface technical blockers and field patterns; escalate strategically to internal experts

• Feed customer insights into roadmap and platform improvement loops

5. Value Measurement & Reporting

• Define baselines, KPI frameworks, and post-deployment reporting

• Track adoption depth, usage health, and business impact outcomes

• Support expansion by identifying new workflows and growth paths

What Success Looks Like (6–12 months)

• Multiple use cases are in production and actively used

• Adoption expands in breadth and depth across teams and workflows

• Customer demonstrates measurable impact and repeatable deployment patterns

• Technical risks are anticipated early and mitigated proactively

Required Skills & Qualifications

• 8+ years in technical customer-facing roles (solutions engineering, customer architecture, technical delivery leadership, applied AI deployment)

• Hands-on understanding of GenAI systems: APIs/SDKs, retrieval, evals, agentic patterns, tradeoffs

• Familiarity with enterprise security (SSO, encryption, compliance frameworks)

• Comfortable with Python/JavaScript and working with REST APIs, cloud platforms

Nice-to-Have

Strongly Preferred

• Direct experience with OpenAI products and enterprise adoption programs

• Experience operating multi-workstream programs in complex enterprise environments

• Strong product instincts: turning field signals into structured feedback

Pay and Benefits

Pay Range Minimum: $ 230000 per Year

Pay Range Maximum: $ 280000 Per Year

HCLTec is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation.

A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year

How You’ll Grow

At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

ob Title: Hardware Design Engineer - Analog and Circuit design

Location: Mountain View, CA

Duration: Long Term

Job Summary

The Senior Hardware Design Engineer will be responsible for the design, development, and validation of automotive electronic hardware systems. The role requires strong expertise in analog and digital circuit design, automotive hardware development processes, and functional safety compliance per ISO 26262. The candidate will work closely with cross-functional hardware and system teams to deliver high-quality, safety-compliant automotive solutions.

Key Responsibilities

• Design and develop analog and digital electronic circuits for automotive applications.
• Execute complete automotive hardware development activities in alignment with industry standards and internal processes.
• Perform hardware safety analyses, including:
• Worst Case Circuit Analysis (WCCA)
• Design Failure Mode and Effects Analysis (DFMEA)
• Failure Modes, Effects, and Diagnostic Analysis (FMEDA)
• Fault Tree Analysis (FTA)
• Ensure compliance with ISO 26262 Functional Safety requirements throughout the hardware development lifecycle.
• Utilize engineering and analysis tools such as Mathcad, Ansys Medini, and other relevant software tools.
• Collaborate closely with hardware, systems, and cross-functional teams through continuous and effective communication.
• Support design reviews, documentation, and validation activities as required.

Required Qualifications & Skills

• Bachelor’s or Master’s degree in Electrical, Electronics, or related Engineering discipline.
• 5–10 years of experience in hardware design for automotive applications.
• Strong hands-on experience in analog and digital circuit design.
• In-depth knowledge of automotive hardware development processes and standards.
• Proven experience working with ISO 26262 Functional Safety standards.
• Hands-on experience performing WCCA, DFMEA, FMEDA, and FTA.
• Proficiency with engineering tools such as Mathcad, Ansys Medini, or equivalent.
• Strong communication skills and ability to work effectively in a team-oriented environment.