Engineering Jobs in San Jose, CA

Job Title: Principal Member of Technical Staff

Reports to: Head, ASIC Engineering

Job Location: Headquarters, CA

We are taking medical imaging where you never thought it could go - everywhere. We're aiming to build a future healthcare system that's unconstrained by the four walls of a hospital and engineered for a world where providers can see into every patient immediately. We are building an affordable handheld ultrasound device and workflow platform for a new era of medical care.

Exo Imaging is looking for an experienced Mixed Signal Design Engineer to join a major effort to develop next generation Medical Ultrasound Imagers. Work will include design and verification of signal processing modules, interfaces, control blocks and other functions on ASICs interfaced with FPGAs and other circuits. The ideal candidate will be self-motivated, prepared to challenge the status quo and work with a seasoned team to develop next generation advanced solutions.

Job Requirements:

• MSEE with ~ 15 years of relevant experience
• 10 years+ experience in successful commercial product development
• Experience with key steps in design, simulation, verification, layout management, chip tapeout, circuit debug and lab bring-up of mixed signal ICs. System Verilog experiemce a plus.
• Ability to work with cross functional groups
• Ability to communicate effectively
• Proven ability to lead or work within design teams in developing leading edge products, with deep skill set in ASIC and Systems development
• Ability to implement and execute effectively
• In depth knowledge of industry best practices
• Possess strong interpersonal skills including the ability to influence senior level decision makers within the company.

Job Responsibilities (but not limited to):

• Design circuits personally and also supervise other team members on complex mixed signal circuits containing analog circuits as well as digital circuits.
• Develop complex and or high precision circuits in CMOS technologies.
• Supervise layout personnel and laboratory technicians.
• Perform reviews of designs with worst case analysis that impact performance and yields of products
• Detailed knowledge of ASIC layout tools such as Cadence Design Systems and ability to supervise layout of Integrated circuits
• Develop test requirements and procedures for new ASIC designs.
• Provide technical direction and attends design reviews to ensure product and process meet requirements
• Lab bring-up and testing.

Salary range: $190,000K - $250,000K

Senior Project Manager – Environmental & Infrastructure Projects

Join a mission-driven construction firm with a strong track record in environmental solutions and infrastructure development. This opportunity is ideal for a seasoned project leader who thrives in complex, technical environments and is ready to take ownership of impactful projects from start to finish.

What You'll Do:

As a Senior Project Manager, you'll oversee all phases of environmental and infrastructure construction projects—from planning to final execution. You'll be responsible for managing schedules, budgets, resources, and communications while ensuring work is completed safely, on time, and in compliance with regulatory standards. You'll coordinate closely with internal teams, clients, subcontractors, and regulatory agencies to keep projects moving and aligned with client expectations.

Your day-to-day will include:

• Leading project planning, budgeting, and scheduling
• Overseeing field operations, inspections, and logistics
• Managing teams and subcontractors across multiple job sites
• Monitoring compliance with environmental, safety, and quality standards
• Reporting on progress and resolving project challenges in real time

What You'll Bring

• Proven experience managing complex construction or environmental remediation projects
• Strong knowledge of project planning, logistics, and permitting processes
• Hands-on experience with inspections, safety protocols, and quality control
• Excellent communication and stakeholder management skills
• Bachelor's degree in Construction Management, Civil Engineering, Environmental Science, or related field
• Familiarity with project management tools and software
• A proactive, detail-oriented mindset with strong leadership capabilities

About the Company

An early-stage AI research lab focused on interpretability, alignment, and reinforcement learning is hiring a Research Engineer. Founded by former frontier-model researchers, the team works directly on model internals and training dynamics to better understand how AI systems reason. The lab runs fast experimental research cycles, building custom tools to explore open-ended questions about model behavior.

About the Role

This role focuses on building the experimental tooling that enables interpretability research. You will develop systems that allow researchers to inspect, measure, and manipulate internal model representations. This is not a production ML or MLOps role — it's for engineers who enjoy building new experimental systems from scratch and working closely with researchers.

Responsibilities

• Build custom RL-style environments and experimental testbeds for interpretability research
• Develop tools for activation tracing and mechanistic interpretability
• Implement probes to detect latent concepts (e.g., deception, goals, uncertainty)
• Prototype activation-level steering methods beyond prompting or fine-tuning
• Collaborate with researchers to rapidly iterate on experiments and tooling

Qualifications

• Strong programming skills in Python
• Experience with ML frameworks such as PyTorch or JAX
• Experience working with deep learning models or LLMs
• Strong software engineering fundamentals and ability to build experimental ML systems

Preferred Skills

• Experience in mechanistic interpretability or alignment research
• Familiarity with reinforcement learning environments
• Background working with model internals, representations, or probing methods
• Research experience (PhD preferred but not required)

Pay range and compensation package

Competitive salary, equity, and benefits.

We are seeking a seasoned Technical Project Manager with 7+ years of experience leading complex, cross-functional IT initiatives within infrastructure and cybersecurity domains. This role will drive large-scale programs across enterprise infrastructure, cloud transformation, network modernization, identity & access management (IAM), and security operations.

The ideal candidate combines strong technical acumen with disciplined program governance, enabling the successful delivery of secure, scalable, and resilient enterprise solutions.

You will partner with Engineering, Security, IT Operations, Architecture, and Business stakeholders to lead end-to-end execution — from strategy and design through deployment and operational handoff — ensuring alignment to security standards, compliance requirements, and enterprise architecture principles.

Key Responsibilities

• Lead enterprise-scale infrastructure and cybersecurity programs across multiple geographies
• Drive end-to-end project lifecycle: intake, chartering, design reviews, risk assessment, implementation, and post-go-live stabilization
• Partner with Security (IAM, SOC, GRC), Cloud, Network, and Infrastructure teams to deliver secure and compliant solutions

Establish governance frameworks including:

• Project charters
• Risk registers
• RAID logs
• Milestone tracking
• Executive dashboards
• Manage cross-functional dependencies across IT, Security, Engineering, Legal, Compliance, and Business units
• Ensure alignment with enterprise security controls, regulatory requirements (e.g., SOX, GDPR, data protection policies), and audit readiness
• Drive SLA and KPI definition, tracking, and reporting
• Proactively identify risks and implement mitigation strategies to prevent security, operational, or compliance gaps
• Lead escalation management and executive-level communication
• Facilitate war rooms, incident coordination, and remediation tracking when required
• Ensure operational readiness including documentation, training, and transition to support teams

Required Qualifications

• 7+ years of experience managing IT infrastructure and/or cybersecurity programs
• Strong knowledge of enterprise infrastructure environments and cybersecurity including Cloud platforms (AWS/Azure/GCP), Network architecture (SD-WAN, firewalls, VPNs, segmentation), Identity & Access Management (Okta, SailPoint, AD), Cloud security posture improvements
• Strong understanding of SDLC and secure development practices
• Proven ability to manage large cross-functional teams across regions
• Experience defining and tracking KPIs, SLAs, and executive reporting metrics
• Strong risk management and issue resolution capabilities
• Ability to translate technical complexity into clear executive-level updates
• Experience with JIRA, Confluence, Smartsheet, ServiceNow, and Microsoft Suite
• Excellent written and verbal communication skills

Code Red is Partnered with a fast-growing startup. They are a software company in the healthtech space. Series D round of funding, located in San Francisco, New York City, + Seattle.

What you'll do:

• Product Security Engineering and Software Security Engineering work, Bug Bounty, Vulnerability Management, and core ProdSec/AppSec management work.
• Will be taking over a small security team and growing it.
• Work with Product and Engineering teams to push out products.
• Collaborate with engineering, mitigate security risks, and support shipping quickly.
• Support threat modeling, shifting left, building tooling, and automating processes.
• Review code designs and pull requests, SSDLC, not a generalist/SecOps role.

Does this sound like you?

• 8+ years' exp. working on Application or Product Security Engineering teams.
• True Leadership experience, a small team is fine, but needs to have true management experience, able to influence and build a team + Engineering.
• Proven track record of starting and scaling a successful Product Security program.
• Excited about integrating security into product delivery without slowing things down.
• Passion for security and technology, bonus points for SWE background.

[leveling Engineering Manager or Sr. Engineering Manager, up to $350K base salary + equity]

*Direct-Hire/Permanent - must be located in San Francisco, New York City, or Seattle*

Cannot wait to hear more about this position?

Click apply below or reach out to Erin Barry () today, and they will share more information and details about the role.

Code Red Partners are extremely committed to working with equal opportunity employers helping build a diverse and inclusive workforce within Cyber Security. We put the people we work with at the heart of everything we do and dedicate all we do to playing a part in developing an industry that represents a variety of backgrounds, perspectives, and skills.

Lawrence Harvey has been engaged by a technology company developing AI-driven software for large-scale industrial construction projects in a position that is critical to commercializing a portfolio of intelligent workflow tools embedded directly into real-world operations.

They are looking for a Product Manager who will own the end-to-end lifecycle of multiple AI agents, from discovery and rapid prototyping through pilot validation and scaled deployment. This individual will work closely with engineering and field stakeholders to map real workflows, define product direction, and merge a portfolio of agents into a cohesive commercial offering.

The successful candidate will be joining a highly technical, fast-paced, and collaborative team operating in a hands-on discovery environment and will play a key role in shaping how AI is applied to complex construction programs.

This is an opportunity to join a technology-driven organization in a role that offers true ownership, measurable impact, and direct exposure to executive leadership while building products that improve how large industrial projects are planned and executed.

The Ideal Candidate has:

• 4+ years of Product Management experience delivering B2B software from discovery through launch and iteration

• Experience building workflow-driven software tools, ideally within construction, EPC, infrastructure, or industrial environments

• Strong ability to translate operational processes into clear product artifacts, roadmaps, and measurable success metrics

• Exposure to AI, automation, enterprise integrations, or systems-of-record environments is a plus

If this aligns well with your experience, please feel free to APPLY NOW

Position Overview

The Water/Wastewater Estimator will be responsible for preparing accurate and competitive cost estimates for heavy civil infrastructure projects. This role requires strong analytical skills, in-depth knowledge of water and wastewater construction, and the ability to collaborate effectively with project managers, engineers, subcontractors, and suppliers.

Key Responsibilities

• Analyze plans, specifications, geotechnical reports, and contract documents for water and wastewater infrastructure projects
• Prepare detailed quantity takeoffs and cost estimates for treatment plants, pipelines, pump stations, and related facilities
• Solicit and evaluate subcontractor and supplier quotes
• Develop conceptual and hard-bid estimates
• Identify project risks and value engineering opportunities
• Participate in pre-bid meetings and site visits
• Maintain organized bid documentation and estimating databases
• Support project handoff to operations team upon award

Qualifications

• 5+ years of estimating experience in water/wastewater or heavy civil construction
• Strong knowledge of treatment plant construction, underground utilities, mechanical piping, and concrete structures
• Proficiency with estimating software (e.g., HCSS HeavyBid, Bluebeam, PlanSwift, or similar)
• Ability to read and interpret civil, structural, and mechanical drawings
• Strong Excel skills
• Excellent communication and organizational abilities
• Bachelor's degree in Construction Management, Civil Engineering, or related field preferred (or equivalent experience)

What We Offer

• Competitive salary based on experience
• Performance-based bonus opportunities
• Comprehensive health, dental, and vision insurance
• 401(k) with company match
• Paid time off and holidays
• Career growth opportunities within a rapidly expanding infrastructure market

Role Summary

We are seeking a seasoned business leader to build and lead our North America operations in AI Data Center and Server Power solutions.

This role carries full market ownership responsibility — including strategy, revenue growth, key account acquisition, and organizational build-out — with direct exposure to executive leadership.

What You Will Own

• Define and execute North America go-to-market strategy and multi-year growth roadmap.
• Establish and expand strategic relationships with Hyperscalers (CSP), OEM/ODM partners, server manufacturers, and data center operators.
• Drive revenue growth, pipeline development, pricing strategy, and commercial negotiations.
• Build and scale the regional team across business development and technical support functions.
• Lead executive-level customer engagement, including roadmap alignment and long-term supply agreements.
• Translate industry shifts (AI/GPU architecture, high-power PSU, digital power, GaN/SiC) into competitive positioning.
• Partner closely with global R&D, product, and operations teams to ensure execution excellence and scalable delivery.

What We're Looking For

• 8+ years of leadership experience in AIDC, IDC, server power, or power electronics industries.
• Strong track record selling into North American Hyperscalers, server OEMs, or major data center operators.
• Deep understanding of AI server power systems (high-density PSU, redundant architecture, UPS).
• Demonstrated success building new markets or scaling regional operations (0→1 or 1→N growth experience).
• Executive presence with strong negotiation and cross-cultural collaboration capability.
• Bachelor's degree or above in Electrical Engineering, Power Electronics, or related field preferred.
• Based in the Bay Area; able to travel globally as required.
• Native-level Mandarin and fluent English required.

Why This Role

• Direct ownership of North America strategy in a high-growth AI infrastructure market.
• Opportunity to build a regional organization from the ground up.
• Executive visibility and meaningful impact on global expansion.

Staff Data Scientist – Post Sales

Location: San Francisco (Hybrid)

Salary: $200–250k base + RSUs

This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We're expanding our data science organization to accelerate customer success after the initial sale—driving onboarding, retention, expansion, and long-term revenue growth.

About the Role

As the senior data scientist supporting post-sales teams, you will use advanced analytics, experimentation, and predictive modeling to guide strategy across Customer Success, Account Management, and Renewals. Your insights will help leadership forecast expansion, reduce churn, and identify the levers that unlock sustainable net revenue retention.

Key Responsibilities

• Forecast & Model Growth: Build predictive models for renewal likelihood, expansion potential, churn risk, and customer health scoring.
• Optimize the Customer Journey: Analyze onboarding flows, product adoption patterns, and usage signals to improve activation, engagement, and time-to-value.
• Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of onboarding programs, success initiatives, and pricing changes on retention and expansion.
• Revenue Insights: Partner with Customer Success and Sales to identify high-value accounts, cross-sell opportunities, and early warning signs of churn.
• Cross-Functional Partnership: Collaborate with Product, RevOps, Finance, and Marketing to align post-sales strategies with company growth goals.
• Data Infrastructure Collaboration: Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams.
• Executive Storytelling: Present clear, actionable recommendations to senior leadership that translate complex analysis into strategic decisions.

About You

• Experience: 6+ years in data science or advanced analytics, with a focus on post-sales, customer success, or retention analytics in a B2B SaaS environment.
• Technical Skills: Expert SQL and proficiency in Python or R for statistical modeling, forecasting, and machine learning.
• Domain Knowledge: Deep understanding of SaaS metrics such as net revenue retention (NRR), gross churn, expansion ARR, and customer health scoring.
• Analytical Rigor: Strong background in experimentation design, causal inference, and predictive modeling to inform customer-lifecycle strategy.
• Communication: Exceptional ability to translate data into compelling narratives for executives and cross-functional stakeholders.
• Business Impact: Demonstrated success improving onboarding efficiency, retention rates, or expansion revenue through data-driven initiatives.

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.