Engineering Geology Jobs in Pleasanton, CA

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.

About the Company

Our values start with our people, join a team that values you! Bring your talents to Ross, our leading off-price retail chain with over 2,200 stores, and a strong track record of success and growth. Our focus has always been bringing our customers a constant stream of high-quality brands and on-trend merchandise at extraordinary savings. All while providing a fun and exciting treasure hunt experience. Our Corporate headquarters are in Dublin, CA, we have 3 buying offices in key markets in New York City, Los Angeles, and Boston, and 8 distribution centers nationwide. With 2023 revenues of $20.4 billion, we are a Fortune 500 company who is committed to providing an inclusive work environment with continuous learning opportunities and development for our teams.

About the Role

The Strategic Sourcing Manager will lead strategic Industrial Construction and Facilities Engineering sourcing projects for new and existing sites across Ross' supply chain network. Their primary goals will be to help Ross mitigate risks, procure materials, equipment and services at the best value and be a strategic advisor to internal stakeholders.

Responsibilities

• Drive Strategic Sourcing and Sourcing Process Execution
• Develop and implement sourcing strategies for Industrial Construction categories (e.g., steel structures, concrete, MEP systems, site services, etc.) and Facilities Maintenance categories (e.g., conveyor systems, fork trucks, racking, etc.). Analyze historical data to determine the highest risk and cost categories.
• Partner with Property Development, Engineering, Project Management, Legal, Risk Management and Finance teams to understand project needs. Manage expectations and set achievable milestones to arrive at the agreed upon goal.
• Develop and manage sourcing project timelines and lead socialization meetings. Update stakeholders regularly on project progress, risks and mitigation strategies.
• Identify, evaluate, and onboard qualified suppliers and contractors. Build and maintain strong supplier relationships to ensure performance and compliance. Develop and monitor supplier KPIs, coordinate regular QBRs and Top to Top meetings.
• Support the budgeting process and develop bottoms-up (quantity based) estimates.
• Develop RFPs and vendor response comparison tools (quantitative and qualitative). Work with Property Development, Engineering, Loss Prevention, IT and Legal stakeholders to understand requirements to be included in the RFP packages.
• Manage competitive events or sourcing process end to end with minimal supervision. This would include market research, RFP development, internal and external communication management, stakeholder alignment, etc.
• Conduct detailed market and vendor research to communicate findings through research summaries. Evaluate vendor core competencies and competitive positioning using open-source data and industry benchmarks.
• Proactively identify alternate sourcing opportunities across multiple Construction and Facilities Engineering material, equipment, parts and service categories. Analyze market trends and cost drivers to inform sourcing decisions.
• Drive cost savings initiatives through value engineering, competitive bidding, and strategic negotiations.
• Create presentations to communicate findings and vendor recommendations to stakeholders, to help with decision making.
• Serve as an escalation channel for internal stakeholders, to improve vendor service levels. Maximize Ross' position of leverage in any negotiation scenario.
• Support the Facilities Engineering team with sourcing requirements for Material Handling Equipment (MHE) repair, refurbishment and replacement.

Qualifications

• BA/BS in Supply Chain, Construction Management, Business, Economics, Finance or Engineering (MBA or advanced degree preferred).
• Minimum of 5 years category management / strategic sourcing experience in Industrial Construction and Facilities Engineering. Multiple Construction and Engineering sourcing category experience preferred.
• Minimum of 5 years of program or project management experience in a cross functional environment (technical and non-technical teams).
• Strong knowledge of corporate finance - budgeting, cash flow, P/L statements, balance sheets.
• Strong experience with construction cost estimating and budgeting as well as working with raw material / market indices and determining fair purchase prices.
• Proficient in reading and interpreting construction drawings and specifications.
• Experience with Construction Management Software such as Procore, as well as Sourcing / Contract Management Software such as Coupa.
• Familiarity with LEED, OSHA, and other regulatory frameworks.
• Certifications preferred - CCPS, CCM, CPSM.
• Consulting experience strongly preferred; experience in retail is a plus.
• Proficiency with contract writing and management strongly preferred.
• Knowledge of DC Operations (e.g. Receiving, Sorting, VAS, Pick/Pack, Shipping).
• Strong Excel (Pivots, VLookups, Data Tables) and PowerPoint skills.
• Experience in working with raw material / market indices and determining fair purchase prices.
• Must have a data driven approach to solving problems.
• Must be inquisitive to learn the business and "ways of working" before recommending improvements.
• Requires very strong quantitative skills and experience structuring ambiguous problems.
• Must have very close attention to detail and the drive to achieve accurate results with minimal supervision. Must evaluate all vendor material and contracts with a critical eye to identify risks to Ross.
• Must be able to multi-task, prioritize, work independently and keep a high level of focus.
• Must be able to listen, understand, and communicate with employees at all levels of the company. Requires strong written and verbal business communication skills.
• Needs to be able to build effective working relationships within Ross and drive continuous improvement.

Required Skills

• Strong project management, communication and prioritization skills.
• Deep industry knowledge and strong negotiation skills.
• Ability to operate at both the tactical and strategic levels of the organization.

Preferred Skills

• Experience in retail.
• Consulting experience.

Pay range and compensation package

The base salary range for this role is $108,800 - $165,950. The base salary range is dependent on factors including, but not limited to, experience, skills, qualifications, relevant education, certifications, seniority, and location. The range listed is just one component of the total compensation package for employees. Other rewards vary by position and location.

Equal Opportunity Statement

This job description is a summary of the primary duties and responsibilities of the job and position.

Talent Acquisition Manager – AI Infrastructure & Engineering

San Francisco, California

Hybrid Working

We are expanding our global team and launching a new office in San Francisco.

WNTD is looking for an experienced Talent Acquisition Manager to join our Talent Solutions team and support the continued growth of AI infrastructure and accelerated compute platforms across North America.

This role will support one of the most significant AI infrastructure expansion programmes currently underway, focused on building next generation platforms powered by NVIDIA accelerated compute.

You will work closely with senior technical leaders to attract and hire talent across the full infrastructure stack including software engineering, AI platforms, GPU environments and large scale compute infrastructure.

This is a delivery focused role supporting high growth engineering programmes across AI infrastructure and cloud platforms.

The Role

You will lead hiring across multiple engineering disciplines spanning software engineering, AI infrastructure platforms and high performance compute environments.

Working closely with technical leadership and programme stakeholders, you will build pipelines of high quality candidates and manage fast moving hiring plans across several technical workstreams.

Key Responsibilities

• Build and manage talent pipelines across software engineering, AI infrastructure and GPU compute environments

• Proactively source talent across the United States through mapping, referrals and direct outreach

• Screen candidates for technical capability, experience and long term fit

• Partner with engineering leaders to define hiring priorities and role requirements

• Maintain clear tracking of hiring pipelines and delivery progress

• Support wider Talent Solutions activity during peak delivery phases

• Ensure a professional and consistent candidate experience

• Champion fair and inclusive hiring practices

Key Experience

• Proven experience hiring across complex engineering environments

• Strong track record building pipelines across software and infrastructure roles

• Comfortable engaging with technical stakeholders and discussing engineering topics

• Excellent communication and stakeholder management skills

• Strong organisation with the ability to manage multiple roles simultaneously

What We Offer

• Competitive salary and benefits

• Opportunity to support one of the fastest growing AI infrastructure build programmes globally

• Growth within a high performing delivery focused team

• Hybrid working model

• A collaborative culture that values ownership, pace and problem solving

Additional Requirements

• Ability to commute to the San Francisco office

• No visa sponsorship available

• Hybrid working model

Role: Forward Deployment Engineer

Location: Bay Area, CA (Hybrid / Local Candidates Only)

Duration: 6-Month Contract

Position Overview

We are seeking a Forward Deployment Engineer to work closely with customers to rapidly diagnose, develop, and deploy technical solutions that address real-time user issues. This role requires a hands-on full-stack engineer who can quickly understand customer workflows, translate business problems into technical solutions, and implement fixes within extremely short turnaround times.

The ideal candidate will be comfortable working in highly dynamic environments, collaborating directly with end users and product teams to identify problems, architect solutions, and deploy updates rapidly. The role requires a strong ability to leverage modern development approaches, including rapid prototyping and vibe-coding or similar fast iteration techniques, to resolve customer issues within tight timelines.

Key Responsibilities

• Work directly with customers and internal stakeholders to identify and diagnose real-time user issues within deployed systems.
• Translate user needs and operational challenges into technical solutions and rapid fixes.
• Design, develop, and deploy full-stack solutions to resolve customer problems quickly.
• Implement rapid iterations using modern development practices such as vibe-coding, rapid prototyping, and accelerated deployment workflows.
• Deliver production-ready fixes and enhancements within short turnaround windows (often within 12 hours).
• Collaborate with engineering, product, and customer teams to ensure solutions align with platform architecture and long-term product strategy.
• Monitor deployed solutions, gather feedback from users, and continuously improve system performance and usability.
• Document solutions and contribute improvements back into the core product or platform.

Required Qualifications

• Strong experience as a full-stack software engineer with hands-on development experience.
• Ability to quickly diagnose technical issues and design solutions in real time.
• Experience building and deploying applications across both frontend and backend components.
• Comfortable working directly with customers and understanding real-world user workflows and operational challenges.
• Experience with rapid development and deployment methodologies.
• Strong problem-solving skills and the ability to operate effectively in fast-paced, high-pressure environments.

Preferred Qualifications

• Experience working in forward deployment engineering, solution engineering, or customer-facing engineering roles.
• Familiarity with modern development stacks and cloud-based architectures.
• Experience with rapid prototyping tools, AI-assisted coding, or accelerated development frameworks.
• Background working in high-growth technology companies or enterprise SaaS environments.

We are looking for our founding Staff Elixir Backend Software Engineer to build Community's technical foundation from the ground up. You'll be employee #1 on Papa Community's engineering team, reporting directly to Papa Community's GM with dotted-line mentorship from Papa core's engineering leadership.

What You'll Do (Responsibilities)

• Build the technical foundation for Papa Community's virtual care platform, designing and implementing systems that connect EHR, care management tools, billing infrastructure, and patient communication platforms.

• Develop secure and scalable integrations between healthcare systems, ensuring reliable data flows and HIPAA-compliant architecture that can support growth to thousands of patients.

• Build data infrastructure and internal tools that enable operational intelligence, automation, and real-time visibility into patient outcomes and care workflows.

• Create systems that support clinical teams with dashboards, automated patient outreach triggers, and clinical decision support tools.

• Lead key technical decisions, including evaluating build-vs-buy tradeoffs, selecting technologies, and architecting solutions that balance speed, reliability, and scalability.

• Partner with Papa Community leadership and Papa's core engineering team to shape the technical roadmap and determine when to leverage third-party tools versus building custom solutions.

• Establish engineering standards and best practices, including code quality standards, testing expectations, deployment processes, and documentation.

• Own platform reliability, monitoring, and performance, ensuring systems supporting healthcare workflows remain stable and resilient.

• Continuously improve system performance, observability, and operational processes to maintain high reliability for patient data, care coordination, and billing workflows.

Minimum Qualifications

• 10+ years of professional software development experience.

• Expert-level proficiency in Elixir.

• Proven experience building and shipping reliable production systems.

• Experience improving software quality through code reviews, automated testing, controlled rollouts, and monitoring.

• Strong focus on system reliability, performance, and maintainability.

• Passion for improving healthcare access and patient outcomes.

Preferred Qualifications

• Experience working with healthcare technology and industry data standards such as FHIR, HL7, and X12.

• Experience integrating with EHR systems, healthcare vendors, clearinghouses, or billing platforms.

• Experience designing HIPAA-compliant systems that manage protected health information.

• Experience building backend applications using Phoenix LiveView.

Compensation & Benefits:

• Target salary range of $200,000 to $230,000
• Equity
• Medical, dental and vision insurance coverage
• Health Savings Account (HSA) & Flexible Spending Account (FSA)
• 401(k) plan with a match up to 4%
• Flexible PTO & 11 company holidays
• Parental leave and caregiver leave

Maxonic maintains a close and long-term relationship with our direct client. In support of their needs, we are looking for a Security Engineer

Job Description:

Job Title: Security Engineer

Job Type: Fulltime

Job Location: Fremont, CA

Work Schedule: Onsite 5 days a week

Salary: 120k to 140k (Base), Based on experience

The Information Security Team builds and creates the technologies and processes that we uses to secure our users, networks, and infrastructure. The team regularly collaborates with Systems Engineering, Networking Engineering and Global Cloud Operations, along with other teams. Helping secure the enterprise is our primary task, and we achieve this goal with cutting edge technologies and implementing robust security solutions.

We are looking for a Security Engineer that is passionate about cybersecurity, system monitoring and analysis, and developing/automating creative solutions. You will have a chance to work on identifying security gaps in infrastructure and process, effectively execute projects/initiatives to address them, demonstrate excellent judgment, prioritization and communication of technical security risks, and act as a security liaison supporting business units. You'll enjoy this team if you like working in a highly collaborative environment focused on being entrepreneurial, agile, and responsive. This position will be located in our Fremont, CA headquarters.

Responsibilities

• Monitor security tools, logs, and perform security assessments to identify issues, vulnerabilities, and incidents.
• Develop dashboards, automated alerts, and access controls.
• Manage and configure security tools (e.g., vulnerability discovery, patch management, EDR, SIEM, MDM, DLP).
• Manage and configure access controls and management systems.
• Develop and implement comprehensive incident response plans; lead the response to security breaches and incidents, including forensic analysis and mitigation.
• Assist with regular security audits and compliance checks to ensure adherence to industry standards, regulations, and best practices.
• Collaborate with IT, Cloud, and Engineering teams to integrate security practices into the development lifecycle.
• Provide training and guidance to staff on security policies and procedures.
• Develop and maintain documentation related to security operations, incident response, and compliance activities.

Qualifications:

• Expertise in analyzing security logs and identifying incidents and suspicious activity.
• Strong understanding of operating systems, network protocols, architecture, and security vulnerabilities.
• Coding experience relevant to automating security tasks, log aggregation and analysis, and device management.
• Experience managing security technologies (SIEM, IDS/IPS, EDR, malware analysis, and protection).
• Familiarity with Azure systems.
• Knowledge of compliance frameworks (ISO 27001, NIST, SOC2, FedRAMP) and experience with audits.
• Excellent problem-solving skills and the ability to work under pressure.
• Strong communication and interpersonal skills.
• Bachelor's degree in Computer Science, Information Security, or a related field.
• Security Certifications a plus
• Minimum of 2 years of experience in information security, particularly in security operations or a similar role.
• Ability to walk and stand on cement floors for long periods.
• Ability to stand, stoop, bend and performing repetitive tasks.
• Must be able to lift to 30 pounds at a time.
• Prolonged periods of sitting at a desk and working on a computer

About Maxonic:

Since 2002 Maxonic has been at the forefront of connecting candidate strengths to client challenges. Our award winning, dedicated team of recruiting professionals are specialized by technology, are great listeners, and will seek to find a position that meets the long-term career needs of our candidates. We take pride in the over 10,000 candidates that we have placed, and the repeat business that we earn from our satisfied clients.

Interested in Applying?

Please apply with your most current resume. Feel free to contact Jhankar Chanda () for more details.

Senior/Staff Software Engineer

Location: Fremont Area (hybrid)

Type: Full-time

Reports To: Head of Software

About the Company:

Work with a venture-funded startup led by experienced entrepreneurs with a track record of building successful healthcare technology companies. Our mission is to transform healthcare delivery through Physical AI-combining advanced AI intelligence with next-generation robotics.

What Sets Us Apart:

• Proven Leadership: Founded by serial entrepreneurs with previous 9-figure exits.
• Strong Funding: Well-capitalized with backing from top-tier investors.
• Clear Market Need: Tackling validated, high-impact problems in healthcare delivery.
• Technical Moat: Building proprietary technology that is extremely difficult to replicate.
• Stealth Advantage: Perfecting our technology in stealth mode before broader market entry.

This is a foundational hire. You own the cloud services that power the dispense pipeline — and you set the engineering standard for how they're built. Prescription lifecycle, inventory management, fleet coordination, safety gates. You design the systems, make the technical calls, and establish the patterns that the team builds on. As we grow, the practices you put in place become the way we work. You'll collaborate closely with a small, senior engineering team and take full ownership of your domain.

Must-Have

• Distributed systems expertise — You've designed and operated services where correctness under concurrency, partial failure, and network partitions actually matters. Not just read about it.
• PostgreSQL — Schema design, migrations, performance tuning, transactions. Not just an ORM user.
• API and system design — You've made technical decisions that shaped how other engineers build. You've owned interfaces that other systems depend on.
• Message queue patterns — At-least-once delivery, dead letter queues, backpressure, idempotency. SQS, Kafka, or similar.
• Safety-critical mindset — You design the failure path first. The happy path is just "recovery wasn't needed."
• Rust — You've shipped Rust to production. async/Tokio, error handling patterns, type-driven design.
• Technical leadership — You've raised the bar on a team. Through code review, architecture decisions, mentorship, or establishing conventions that stuck. You don't need a title to lead.

Please apply if you are intersted!

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.

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 -

We're working with a fast growing AI startup in SF that's hiring a GTM Engineer to help scale revenue through data, analytics, and experimentation.

This isn't a typical analytics role.

You'll sit at the intersection of product, growth, and engineering, building the systems that determine how the company acquires customers, measures performance, and optimizes every part of the funnel.

Your work directly impacts revenue.

What makes it interesting is the environment:

• High ownership across growth and product systems

• Direct exposure to paid channels, product analytics, and revenue data

• Building real infrastructure, not just dashboards

• Heavy use of AI to surface insights and drive decisions

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

They're looking for people who:

• Have strong Python and SQL skills

• Have worked with paid acquisition data (Google, Meta, TikTok)

• Think in experiments and understand causation vs correlation

• Have built or owned metrics, attribution, or LTV/CAC systems

• Want to work in a fast-paced, high-growth environment

SF based, in office

$130K to $190K + bonus + equity

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