Jobs in Los Gatos, CA

Insight Global's client in Fremont, CA is seeking a Project Controls Scheduler to join their team.

Develop fully integrated Engineering, Procurement, Construction, Commissioning logically tied, and resource loaded schedules

• Monitor, analyze and report the critical path and overall project performance

• Analyze and report on scheduling and project data with an innovative approach leading to actionable outcomes

• Create potential “what-if” scenario schedules showing viable alternative paths to achieve project objectives, accelerate or reduce schedule and cost risks

• Ensure scheduling tools are progressed and updated weekly with all stakeholders across multiple programs, while providing accurate and meaningful outputs

Required Skills & Experience:

• 3-10 years of scheduling/planning experience on large commercial, industrial, mining, government, or oil & gas construction projects

• Project size $100M +

• Direct scheduling experience with proficiency in Primavera P6 are required for this role

• Proficient Microsoft Excel skills

A confidential, high‑growth life sciences consultancy is seeking Consultants and Senior Consultants to join its expanding Commercial Strategy team in San Francisco. This is an opportunity to shape critical commercial decisions for leading biopharma clients while developing rapidly in a supportive, high‑calibre environment.

You will contribute to and/or lead workstreams across a variety of commercial strategy projects, supporting market assessments, launch readiness, brand strategy, customer engagement, competitive intelligence, and other core commercial areas. Candidates with complementary medical affairs or market access exposure are welcome, though the role is not solely medical.

You Will:

• Execute commercial strategy projects across therapeutic areas
• Develop insights, build models, and translate findings into actionable recommendations
• Contribute to client meetings, presentations, and workshops
• Support workstream management; Senior Consultants will manage junior team members
• Shape deliverables and ensure high-quality execution
• Contribute to internal knowledge development and commercial capability building

You Bring:

• Experience in life sciences consulting, ideally within commercial strategy
• Strong analytical, structured problem-solving, and communication skills
• Ability to work collaboratively within high-performing teams
• For Senior Consultants: Workstream leadership experience and comfort guiding junior staff
• Advanced degree preferred (MBA, MSc, MPH, PhD)

Why This Role?

• Fast-growing San Francisco team with abundant development opportunities
• Work across diverse, high-impact commercial topics
• Collaborative, low‑ego culture with strong mentorship
• Exposure to senior leadership and accelerated progression

Fractal is a strategic AI partner to Fortune 500 companies, with a bold vision: to power every human decision in the enterprise. We believe the future belongs to organizations that combine human imagination with intelligent systems—and Fractalites are the ones building that future. As we scale our Technology, Media & Telecom (TMT) practice in the United States, we are looking for a senior, client-facing Head of Engineering to shape and deliver world-class Data & AI platforms for leading Technology, Media & Telecom organizations.

This is not a back-office engineering role. This is a consulting-led, client-facing engineering leadership position for someone who is equally comfortable whiteboarding architecture with principal engineers, rolling up their sleeves with delivery teams, and advising CIOs, CTOs, and CDOs in the boardroom.

Learn more at Fractal | Intelligence for Imagination.

Note: This position is not eligible for Immigration Sponsorship at this time.

About the Role

This is a four-axis leadership role requiring technical depth, executive presence, team leadership, and embedded delivery. You'll work directly with top technical and functional leaders at some of the largest TMT companies in the world.

As Head of Engineering for Fractal's Technology, Media & Telecom (TMT) vertical, you will personally shape the architecture of mission-critical AIML platforms, often in first-party tech stack, and develop/drive the team of ICs who bring them to life.

Responsibilities

Some engagements will look like a traditional advisory model. Others will look a lot more like Forward Deployed Engineering: your team embedded inside a client's engineering org, working within their first-party tech stack, shipping production code alongside their engineers, and earning influence through technical credibility, not org chart position.

You will need to be in the room when the technology roadmap needs to change. When a business pivot, a new regulation, or a technology shift forces a rethink mid-execution, you are the person who picks up the marker, walks to the whiteboard, and redraws the architecture in real time, credibly, for the CTO, and Principal Engineering leaders simultaneously.

Technical Depth (Hands-On Architecture)

• Own AI/Data platform architecture decisions — from Lakehouse design and real-time streaming to MLOps, LLMOps, and AgentOps pipelines in production
• Serve as the technical authority for Fractal's TMT engineering practice — defining standards, reviewing design, and holding the bar on reliability, scalability, and security
• Translate ambiguous business problems into concrete, buildable platform architectures — and stay close enough to execution to know when something is not working
• Drive the industrialization of GenAI: moving clients from proof-of-concept to enterprise-grade, governed, and observable AI systems

Executive Presence & Live Architectural Thinking

• Command the room with senior client leadership — CIOs, CTOs, CDOs, and their direct reports - as a peer, not a vendor
• Whiteboard new architectural directions on the spot: when a business pivot, acquisition, regulatory shift, or technology breakthrough forces a mid-execution rethink, you synthesize it into a credible, buildable path forward live, in the room, without needing a week to prepare a deck
• Translate between two worlds simultaneously: make the architecture legible to a CFO and rigorous enough to satisfy a principal engineer in the same session
• Shape client roadmaps at the strategic level; identifying where the current plan is under-ambitious, over-engineered, or misaligned with emerging AI capabilities, and steering accordingly
• Represent Fractal at the highest level of client relationship

Team Leadership (Building & Driving Senior ICs)

• Develop and lead a high-performing group of individual contributors. principally senior and staff engineers, ML engineers, and data platform engineers
• Create the engineering culture: rigorous delivery standards, architectural thinking, and a bias toward elegant, production-grade solutions over quick fixes
• Build leadership depth within the team, identifying principals who can own programs and grow into broader roles
• Partner across Fractal's global AI and engineering Capability functions to staff programs strategically and raise capability across the TMT practice

Forward-Deployed & Embedded Delivery

• Lead and run FDE-style engagements where your team operates inside the client's engineering environment
• Navigate and deliver within client-owned, first-party technology stacks: proprietary data platforms, internal ML infrastructure, custom orchestration systems, and bespoke toolchains that do not appear in any industry survey
• Adapt quickly to non-standard environments, understanding a client's internal platform deeply enough to extend it, integrate into it, and earn the trust of their engineering staff
• Balance the tension between what Fractal does best and what the client's stack demands, knowing when to bring pattern, when to adapt, and when to advocate for a better path
• Set the standards for how Fractal operates in deeply embedded engagements: how we onboard, document, transfer knowledge, and leave clients stronger than we found them

Candidate Profile

Technical Qualifications

TMT clients bring genuinely hard problems on both open and proprietary infrastructure. Expect to architect and oversee:

• GenAI systems: RAG architectures, LLM fine-tuning pipelines, agentic workflow orchestration, and LLMOps observability
• AI-powered products: personalization engines, churn prediction, content recommendation, and network fault detection
• Client-proprietary ML infrastructure: internal feature stores, custom model serving layers, bespoke experiment tracking systems, and first-party orchestration frameworks
• Cloud-native infrastructure across AWS, Azure, and GCP with enterprise-grade governance, security, and compliance baked in
• Real-time and event driven data pipelines (e.g. network telemetry)
• Modern Lakehouse platforms (Databricks, Snowflake, Delta Lake, Iceberg) at petabyte scale and proprietary data platform equivalents at leading tech-forward TMT organizations

Non-technical Qualifications

We are particularly interested in leaders from environments where engineering rigor, client accountability, executive presence, and AI depth all coexist including Forward Deployed Engineering, elite data/ML platform teams, and senior hyperscaler architecture practices.

• 15–20 years of experience spanning AI/data engineering and technical leadership with clear evidence of owning architecture at scale
• Deep hands-on experience deploying AI/ML/GenAI systems in production, in addition to advising on them
• Demonstrated executive presence: you have walked into a CTO or CDO review, redrawn the architecture based on new constraints, and left the room with alignment
• The ability to whiteboard fluently under pressure, synthesizing a team's in-flight work with a new business direction, making it rigorous enough for engineers and clear enough for executives, on the spot and without a rehearsal
• Experience operating within client-owned or non-standard technology stacks - you have learned a proprietary system, earned trust from skeptical internal engineers, and delivered production-grade results inside someone else's infrastructure
• A track record of leading senior engineers and building high-performance ML/engineering teams, including hiring, coaching, and developing principal-level ICs
• Direct executive engagement experience - you have influenced CIO/CTO/CDO decisions and can hold your own in a room with technical and non-technical stakeholders at once
• Strong cloud-native fluency across one or more hyperscalers, with genuine depth in data platform patterns (streaming, batch, Lakehouse, governance)

Strong Preferences

• Experience in TMT vertical — hi-tech, telco, media platforms, streaming infrastructure, ad tech, or content delivery at scale
• Prior work in FDE-style or embedded delivery models where your team shipped inside a client codebase and was evaluated by their engineering standards, not just deliverable milestones
• Comfort with the ambiguity of 1P stack environments: you have debugged undocumented internal tools, extended proprietary frameworks, and figured out how to make external expertise land inside a closed ecosystem
• A personal reputation for architectural clarity: the person colleagues call when a problem needs to be drawn, not just describe
• Contributions to the ML/AI community: open source, publications, conference talks, or influential architectural patterns

Who Thrives Here

The Fractalite mindset is curious, rigorous, and impact driven. You will thrive in this role if you:

• Enjoy being client-facing and accountable for outcomes.
• Are comfortable navigating ambiguity, scale, and complex stakeholder environments.
• Believe great platforms come from strong engineering culture plus disciplined execution.
• See AI not as a novelty, but as a core enterprise capability that must be engineered responsibly.

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Our client, a growing venture platform, is searching for a Venture Capital Associate to join their team. This role is ideal for someone with early professional experience in investment banking, growth equity, or venture capital who is eager to join a fast-growing platform and deepen their experience investing into VC funds and venture-backed businesses.

Responsibilities:

• Due Diligence: Conduct in-depth financial and operational due diligence, including market research, competitive landscape analysis, and business model evaluation both for co-investment opportunities and venture funds
• Investment Memos: Prepare and present comprehensive investment memo presentations (in PowerPoint) to the investment committee articulating investment thesis, transaction dynamics, risks, and expected outcomes
• Deal Sourcing & Screening: Identify and evaluate potential investment opportunities through proactive outreach, market mapping, and founder relationships
• Financial Modeling: Build and maintain financial models to assess investment opportunities and valuations
• Portfolio Reporting: Write update reports on funds and portfolio companies quarterly
• Market Research: Track industry trends, emerging technologies, and competitive dynamics across focus verticals

Qualifications:

• At least 1-2 years of professional experience (preferably in investment banking M&A, growth equity, or consulting
• Strong analytical skills and strong proficiency in Excel-based financial modeling and Powerpoint
• Excellent communication and presentation skills, both written and verbal
• Ability to think independently, operate in a fast-paced environment, and manage multiple priorities
• Passion for innovation, startups, and the venture capital ecosystem

Now Hiring: Associate Merchandise Planner | San Francisco (Hybrid)

Join a fast-growing retail team where planning, forecasting, and inventory optimization drive exceptional customer experiences. We’re seeking an Associate Merchandise Planner to support brand planning, manage inventory flow, and partner cross-functionally to deliver business results.

Location: San Francisco (Hybrid – 2 days/week onsite; flexible July work-from-anywhere)

What You’ll Do:

• Build and manage pre-season and in-season plans to meet sales and inventory goals

• Own Open-to-Buy (OTB) forecasting, including sales, receipts, and inventory adjustments

• Collaborate with Merchants, Demand Planning, and Vendors for alignment and execution

• Analyze sales trends, promotions, and product performance to drive insights

• Support new launches and key initiatives with data-backed planning

• Optimize assortment and manage overstock/liquidation strategies

What You Bring:

• 4+ years of merchandise planning or inventory planning experience

• Strong analytical mindset with advanced Excel skills

• Ability to turn data into actionable business strategies

• Excellent communication and stakeholder management skills

• Thrives in a fast-paced, collaborative environment

This is a great opportunity to work at the intersection of merchandising, operations, and analytics while driving impactful retail decisions.

Interested candidates can share their resume and availability to connect.

Eximietas Design is a leading technology consulting and solutions development firm specialising in the VLSI, Cloud Computing, Cyber Security, and AI/ML domains. Our success is anchored in the unparalleled expertise of our engineering leadership team, whose collective experience spans renowned tech giants. With a commitment to innovation and excellence, we deliver cutting-edge solutions that empower businesses to thrive in the ever-evolving digital landscape.

Location: Bay Area, CA

Employment Type: Full-Time

Minimum Qualifications:

● Bachelor’s degree in computer science or electrical/Electronics Engineering

● Over 10 years of experience in Design Verification

● Strong understanding of design concepts and ASIC verification flow

● Proven experience in IP, Subsystem, and SoC verification

● Hands-on expertise with high-speed protocols and their controllers (PCIe/USB/DDR/ Ethernet/MIPI/UFS)

● Proficient in System Verilog and UVM coding

● Solid understanding of RAL (Register Abstraction Layer)

● Practical experience integrating third-party VIPs

● Excellent problem-solving, analytical, and debugging skills

● Mandatory exposure to at least one of the following: GLS, UPF, Performance Verification, Meta stability simulation, Boot-up (C–SV/UVM) handshakes and C testcase development

● Demonstrated capability in Subsystem testbench development and SoC-level verification

● Strong knowledge of AMBA protocols including AXI, APB, and AHB

● Hands-on experience with revision control systems such as Git, SVN, or Perforce

● Experience in a team lead role with responsibilities in guiding, mentoring, and ensuring effective collaboration across teams

As a Lead verification engineer candidate will be responsible to work at IP, Subsystem or

SoC verification-related tasks.

Responsibilities:

● Develop testbench components (Driver, Monitor, Scoreboard) from scratch or enhance an existing testbench for a given IP, Subsystem, or SOC.

● Understand design specifications and implementation to define the verification strategy.

● Create testbench micro-architecture, test plan, and coverage plan documents.

● Define the verification scope, develop test plans and tests, and establish the verification infrastructure to ensure design correctness.

● Implement System Verilog assertions and functional coverage.

● Analysed code coverage and address missing scenarios to meet coverage goals.

● Work with other verification team members to develop, execute, and analyse verification test cases and sequences, providing relevant solutions to issues.

● Collaborate with architects, designers, and pre- and post-silicon verification teams to meet deadlines.

● Coordinate with customer leads, ensuring all deliverables and timelines are met.

● Serve as the project's point of contact, responsible for verification signoff.

Apply/Refer -

About the Company

We’re seeking a proactive, resourceful System and Network Administrator to oversee and manage all infrastructure in support of our Department of Transportation’s transformation initiatives. This is a unique, highly autonomous role in a single-person support environment, you will own day-to-day operations, working closely with civil engineers and Enterprise IT partners.

Responsibilities

• Manage systems and IP-based field infrastructure, including switches, routers, network devices, and wireless technologies
• Ensure security controls, firewalls, and vulnerability management practices are coordinated and maintained with Enterprise IT
• Provide support and technical guidance for field equipment, applications, and networking components
• Oversee traffic signal controllers, CCTV/IP cameras, and other field-deployed technologies
• Deploy and maintain Linux, Windows OS, and VMware systems
• Test, deploy, and maintain ruggedized network switches, routers, servers, diagnostic systems, and cellular modems
• Maintain strong relationships with consultants and vendors
• Support ITS operations, including piloting emerging technologies and providing limited on-call support

Required Skills

• Experienced in core IP networking principles, wireless systems, and hands-on network/device management
• Thrives in an independent, self-directed environment, previous networking experience is a must have.
• Proactive and motivated to pursue additional training/learning as needed (training support available)
• Confident in collaborating with civil engineers (limited technical support) and Enterprise IT (broader infrastructure)

Pay range and compensation package

The hourly pay range for this position is $45 to $50 on a W2 basis. As a contract/temporary professional, you are eligible for medical, vision, dental, life, and disability insurance coverage. You may also enroll in our company's 401(k) plan. For additional details on benefits, please visit .

Client Service Representative

Location: Novato, CA (Onsite)

Employment Type: Direct Hire

Industry: Financial Services

About the Company

Our client is a well‑established financial services firm dedicated to providing personalized financial planning and investment strategies built on trust, integrity, and long‑term relationships. Their team supports high‑net‑worth individuals and families with a comprehensive, fiduciary approach to wealth management and client service. The firm prides itself on professionalism, confidentiality, and delivering an exceptional client experience.

Position Overview

The Client Service Representative is a key member of the client experience team and serves as the primary point of contact for clients. This role supports advisors and operations by managing client communications, account administration, and service requests while maintaining the highest standards of accuracy, confidentiality, and professionalism.

The ideal candidate is detail‑oriented, service‑driven, and thrives in a fast‑paced, highly regulated financial services environment.

Key Responsibilities

• Serve as the first point of contact for clients via phone, email, and in person, delivering professional and responsive service
• Manage and maintain client accounts using Redtail CRM and LPL ClientWorks, ensuring accuracy and completeness of records
• Assist with client onboarding, account updates, and service requests
• Coordinate electronic document processing, including e‑signatures and compliance documentation
• Support advisors and operations with scheduling, Zoom meetings, and client follow‑ups
• Collaborate with internal team members to update and process client account changes
• Handle client inquiries and concerns with professionalism, initiative, and discretion
• Maintain strict confidentiality and adhere to compliance requirements, including fingerprinting, attestations, and training participation

Qualifications & Skills

• Previous experience in client service, administrative support, or account management
• Experience in wealth management, financial services, or private client environments strongly preferred
• Proficiency with CRM systems; Redtail CRM experience highly desirable
• Strong organizational and time‑management skills with the ability to prioritize effectively
• Excellent verbal and written communication skills with a strong customer‑service mindset
• High level of professionalism, discretion, and attention to detail
• Ability to work independently while collaborating in a team‑oriented office environment
• Familiarity with financial industry compliance standards is a plus

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil, and India. Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise.

We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you!

Job Title: Embedded AI Engineer

Location: Sunnyvale, CA

Employment Type: 6+ Month Extendable Contract

Pay Range: USD 70-80/HR

- Role Overview/Job Responsibilities

About this opportunity – Embedded AI Engineer We are seeking an experienced Embedded AI Engineer to join our team in validating PyTorch-based Large Language Models (LLMs) using CUDA SDK APIs. The successful candidate will be responsible for debugging, extending, and replacing the underlying CUDA code to ensure seamless functionality on our company-specific AI processors.

Key Responsibilities:

● Validate PyTorch-based LLMs on company-specific AI processors using CUDA SDK APIs

● Debug and troubleshoot issues related to CUDA code integration with PyTorch models

● Extend and modify CUDA code to optimize performance on company-specific AI processors

● Replace existing CUDA code with custom implementations to meet specific requirements

● Collaborate with cross-functional teams to ensure successful integration of LLMs with company-specific AI processors

● Develop and maintain validation frameworks and tools for PyTorch-based LLMs

● Analyze and optimize the performance of LLMs on company-specific AI processors Requirements

● Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related fields

● Strong experience with CUDA programming and PyTorch framework

● In-depth knowledge of deep learning models, particularly Large Language Models (LLMs)

● Proficiency in C++ and Python programming languages

● Experience with debugging and troubleshooting complex software issues

● Excellent problem-solving skills and attention to detail

● Strong communication and collaboration skills

Nice to Have:

● Experience with AI processor architecture and design

● Knowledge of other deep learning frameworks, such as TensorFlow

MatchPoint Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

We’re working with a fast growing AI startup in SF that’s hiring a Forward Deployed Engineer to help identify and build high-impact solutions across the business.

This isn’t a typical engineering role.

You’ll be embedded directly with teams across sales, operations, and customer experience, spotting inefficiencies and quickly building AI tools, automations, and systems to solve them.

The focus is on impact, not perfection.

What makes it interesting is the environment:

• High ownership and real business impact

• Working across multiple functions, not just engineering

• Rapid build and ship cycles where ideas go live in days

• Constant exposure to the latest AI tools and capabilities

• 14 hour days in a high-intensity environment where you move fast and see results immediately

They’re looking for people who:

• Are strong technical generalists (Python, TypeScript, SQL)

• Think in terms of business outcomes, not just code

• Are comfortable building quickly and iterating in real time

• Can communicate clearly with non-technical stakeholders

• Want to work at the intersection of AI and real-world operations

SF based, in office

$140K to $200K + bonus + equity

If this sounds interesting, feel free to message me or get in touch.