Engineering Jobs in San Jose, CA

Principal System Embedded Engineer (SONiC)

Duration – 6 months to Hire

Location – San Jose CA – Hybrid / 2 days

Notes - Manager is looking for someone with SONiC community level experience & GitHub link .

Please provide a note up of 7-8 lines depending on the Community level experience when comes to SONiC

Responsibilities:

• Design, develop, and maintain features and enhancements for the SONiC NOS platform, interfacing with SAI and platform infrastructure.
• Contribute to the SONiC open-source community and stay current with the evolving SONiC ecosystem.
• Develop forwarding features on SONiC and the underlying hardware (e.g., ASICs, PHYs, optics, and other platform components).
• Implement code for critical system modules, drivers, and APIs supporting high-performance data planes and control planes.
• Debug, troubleshoot, and resolve issues on SONiC platforms.
• Participate in code reviews, and documentation efforts.
• Contribute to architecture discussions to ensure scalable and highly available SONiC integrations.
• Contribute to SONiC SAI features and platform-specific management/control modules (e.g., telemetry, diagnostics, and monitoring components).

Basic Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
• Minimum of 10 years of work experience is required.
• With at least 1 year of hands-on SONiC development experience is must.
• Strong experience with the SONiC network operating system and architecture.
• Demonstrated feature contributions to the SONiC open-source community.
• Experience using SONiC SAI for new feature development and integration.
• Experience with datapath forwarding features such as BFD, FIB, RIB, ERSPAN, ACLs, QoS, unicast, and multicast.
• L2/L3 Protocol Stack Development
• L3: BGP, OSPF, IS-IS, EVPN/VXLAN, MPLS, etc…
• L2: STP, LLDP, LACP, etc…
• Experience with FRR open routing stack
• Experience with Redis DB, Docker
• Experience in Data Plane/Embedded software development/kernel drivers.
• Proficient in Python, C/C++.
• Familiarity with Linux internals and containerized environment.
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Knowledge of network ASICs (e.g., Broadcom, Marvell) and switch hardware architecture.

Additional Skills:

Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Security-First Mindset, Solutions Design, Testing & Automation, User Experience (UX)

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

Hi ,

Position : GPU Lab / Datacenter Integration Engineer (Linux & Network)

Location: San Jose, CA(Hybrid)

Duration: 12+ Months Contract

Open only for Contract.

Need USC & GC Holders only.

15 Minute short video discussion is mandated for Submission.

Job Summary:

• We are seeking a Lab Support Engineer to support networking test lab operations in San Jose. The ideal candidate will have strong hands-on experience with networking hardware setup, test topology creation, and lab equipment management. This role involves working closely with engineering teams to deploy, maintain, and troubleshoot lab infrastructure while automating routine workflows using Python.

Must Have Skills:

• Hands-on experience with routers and switches setup and configuration.
• Experience using network traffic generators (Ixia, Spirent).
• Ability to design and build network test topologies.
• Experience working with terminal servers and optical switches in lab environments.
• Strong troubleshooting and problem-solving skills.
• Basic Python scripting for workflow automation.
• Experience with lab hardware ordering, receiving, and inventory management.
• Excellent verbal and written communication skills.

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 -

Electrical Engineer - Data Centers - San Francisco

Metric DCX are partnered with a global engineering and consultancy firm to support the continued growth of their data center division.

This Electrical Engineer position will specialize in data center facility design to be embedded directly with a major end-user client.

Responsibilities:

• Assessing third-party and colocation facilities being considered for acquisition, evaluating their suitability against the client's portfolio requirements.
• Taking ownership of power systems across all project phases, identifying and resolving issues as they arise in collaboration with the relevant client stakeholders.
• Reviewing data center designs with a critical eye on redundancy architecture, availability targets, and potential single points of failure.
• Working closely with operations, planning, and energy strategy teams to push electrical solutions forward on third-party data center projects.
• Conducting technical due diligence and maintaining quality standards in line with client expectations.
• Keeping internal documentation, specs, and standards current based on live project feedback and lessons learned.
• Liaising with internal teams on power loading, rack deployment, and load balancing within shared facilities.
• Contributing to cross-discipline coordination with mechanical and controls engineers, and supporting consistency across regional teams.

Background Required

• Degree-qualified in Electrical Engineering; a postgraduate qualification or PE license would be a strong advantage.
• At least five years working within mission-critical environments, with solid hands-on exposure to colocation and multi-tenant data center projects specifically.
• Confident in power systems analysis and the software tools that come with it.
• Practical experience across the full electrical distribution stack — from high voltage transformers down to branch circuits — covering design, procurement, commissioning, and operations.
• Comfortable working across disciplines and engaging with structural, mechanical, civil, and IT/Telecom teams as needed.
• Grounded in US electrical codes and standards, with some awareness of IEC standards beneficial.

Our client, a Fortune 500 retail organization with a nationwide distribution network, is seeking a Strategic Sourcing Manager to support large-scale construction and facilities engineering procurement initiatives across their supply chain network.

This role plays a key part in sourcing industrial construction materials, equipment, and services for new facility builds, expansions, and ongoing engineering initiatives. The individual will partner closely with engineering, property development, legal, finance, and operations teams to design sourcing strategies that deliver cost efficiency, risk mitigation, and supplier performance improvements.

The ideal candidate will bring deep expertise in construction procurement, contract negotiation, and cost modeling, with the ability to influence stakeholders and drive complex sourcing projects from concept through execution.

Projects You’ll Work On

• Leading end-to-end strategic sourcing initiatives for industrial construction and facilities engineering categories.
• Developing sourcing strategies for categories such as steel structures, concrete, MEP systems, material handling equipment, racking systems, conveyors, and site services.
• Managing the full sourcing lifecycle including market research, supplier identification, RFP development, bid management, negotiations, and contract execution.
• Conducting construction cost analysis, clean-sheet modeling, and should-cost modeling to identify optimal pricing and savings opportunities.
• Partnering with engineering and development teams to support distribution center construction, expansions, and infrastructure upgrades.
• Managing supplier relationships and performance through KPIs, quarterly business reviews (QBRs), and executive-level supplier meetings.
• Performing spend analysis and market intelligence research to anticipate supply risks and pricing fluctuations.
• Driving cost optimization through value engineering, competitive bidding, and strategic negotiations.
• Supporting facilities engineering teams with sourcing for material handling equipment repair, refurbishment, and replacement.
• Developing presentations and recommendations for executive leadership to support strategic sourcing decisions.

What Experience You Should Bring

• Bachelor’s degree in Supply Chain, Construction Management, Engineering, Finance, Economics, or Business (MBA or advanced degree preferred).
• 5+ years of strategic sourcing or category management experience focused on industrial construction or facilities engineering procurement.
• Experience managing large-scale sourcing projects for construction materials, contractors, or engineering services.
• Strong understanding of construction cost estimation, budgeting, and material cost drivers.
• Experience leading RFP/RFQ processes, supplier negotiations, and contract development.
• Ability to analyze supplier bids using TCO modeling, cost analysis, and financial modeling.
• Experience working cross-functionally with engineering, legal, finance, and project management teams.

What Will Help You Stand Out

• Familiarity with distribution center construction, logistics infrastructure, or retail supply chain environments.
• Experience working with construction management software (e.g., Procore) and sourcing platforms (e.g., Coupa).
• Knowledge of regulatory frameworks such as OSHA, LEED, and construction compliance standards.
• Professional certifications such as CPSM, CCM, or CCPS.
• Strong financial acumen including experience analyzing budgets, cash flow, and cost structures.
• Advanced Excel skills (pivot tables, VLOOKUPs, data modeling) and strong presentation capabilities.

Work Environment

• Hybrid role with regular in-office collaboration and occasional travel to facilities and project sites.
• Ability to manage multiple sourcing projects simultaneously in a fast-paced, cross-functional environment.

Compensation & Benefits

The base salary range for this position is up to $200,000.00, depending on experience and qualifications.

The total rewards package may include performance incentives, health benefits, retirement plans, and professional development opportunities.

Project Manager I - Platform Implementation Manager - Remote - San Francisco Bay Area

Russell Tobin & Associates is currently seeking a Project Manager I. You will work for one of our well-recognized online mobile food and delivery platform clients. The ideal candidate will have 3-5 years of work experience in onboarding customers to a new software system, implementation, project management and/or account management.

Apply now for immediate consideration!

Contract: through 07/31/2026- likely to be extended

Location: Remote

Pay Rate: $38. per hour on W2

Project Manager I - Platform Implementation Manager

Remote - but would prefer to have workers local in the following locations:

Preferred Location (Preferred, in Priority) New York City, San Francisco

Secondary Location: (Open To): Phoenix, Los Angeles, Denver, Chicago

About the team Client Commerce Platform is Client's first software-as-a-service business unit – offering a suite of products and services across online ordering, branded mobile apps, loyalty solutions, and more that enable merchants (restaurants, grocers, retailers, etc.) to reach customers through their own first-party channels.

• Within this pod, the Platform Implementation Manager (PIM) Team was created to help our merchants onboard, implement, and grow their business from day one.
• The team supports our merchants after they sign up, through their first weeks live, and delivers top-tier service and support.

We're excited about you because…

• Bachelor's degree or equivalent work experience 3-5 years of work experience in onboarding, implementation, project management and/or account management
• Able to complete tasks accurately, effectively, and on time with superb attention to detail
• Experience working successfully cross-functionally with individual contributors
• Excellent external and internal customer presentation and communication skills
• Tech-savvy: you are curious and able to dig into technical issues and troubleshoot merchant issues before escalating them to engineering

On a day to day, this means

• Working closely with the sales and account management teams to get merchants set up for success from day one:
• Setting up kick off calls and project managing the implementation of Online Ordering, mobile apps, loyalty and gift card programs for our merchants, coordinating with several internal teams to ensure merchants are using our products as soon as they sign up for it
• Technical troubleshooting of issues (within merchants websites and internally) Educating our merchants on our products: answering "how to” questions, proactively guiding and educating them through the transition and set up process and providing operational support during the initial weeks of our products usage
• Collecting and registering feedback from merchants on our products

You will report to the Associate Manager, Strategy & Operations, and work within our Commerce Platform organization.

This primarily remote role, prefer someone close to one of our corporate hubs for easy co-working and collaboration across the team on occasion.

You're excited about this opportunity because you will…

• Drive merchant onboardings & implementations with clear, concise communication.
• Deliver strong presentations and handle merchant frustrations with grace and support.
• Train our merchants on Client's Online Ordering product and functionality.
• Leverage your tech-savviness and curiosity to troubleshoot merchants technical issues.
• Become a product expert and cross-functional subject matter expert on Online Ordering.
• Collaborate and support our sales and account management teams with their merchant implementation challenges.
• Share product and operations feedback with our team on a regular basis to share our team's trajectory and product offerings.
• Meet our team's high bar of internal and external service and timeline goals.
• Highlight opportunities for leadership to improve team workflows and merchant success.
• Be able to achieve immediate results and adapt to an evolving work environment.
• Look for ways to improve and want to shape the direction of the company.

Must be authorized to work in the United States

Why Join?

This role offers the chance to impact financial performance, gain exposure to strong leadership principles, and grow professionally—all with competitive pay and potential for long-term engagement.

Russell Tobin offers eligible employees comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), a 401(k)-retirement savings, life & disability insurance, an employee assistance program, identity theft protection, legal support, auto and home insurance, pet insurance, and employee discounts with some preferred vendors

Greetings:

Hi, this is Mounika with Flexton, I have an amazing opportunity with one of our best clients in the Bay Area! Please have a look at JD below and drop your resume to or (4 if interested in applying!!

*****Only W2*****

Role:: Technical Program Manager

Location: San Francisco Bay Area or Remote, USA

Role and Responsibilities:

• Technical Program Manager (TPM) to support the Payments Engineering team.
• This person will partner with our Payments engineering, ops, and product teams to build/enhance decision making across multiple areas in the company. They will partner closely with the engineering leaders in Payments on processes, strategy, and execution.
• Develop a portfolio view of Payments programs’ scope and objectives. Collaborate with stakeholders to ensure technical feasibility and drive projects end-to-end. Provide leaders with sufficient visibility into execution status, issues, and decisions.
• Lead planning, execution, and delivery of large cross-functional initiatives aimed at increasing the productivity of our technical teams.
• The team is looking for a person with the technical background, who understands the problem space, will drive requirements, and leverage and apply their expertise to solve strategic problems.
• TPMs work on a variety of complex projects/ programs that touch multiple product surfaces, services, functions, and teams, and hence are required to keep the big picture in focus while being able to dive into the details, working through unique challenges. It is a highly leveraged role that aims to improve the quality and velocity of work across cross-functional teams by acting as a “force multiplier”.

Thanks

Mounika Ravi

Sr. Technical Recruiter

Cell | (4

Email:

Looking for a Gen AI architect with 15+ years experience and 8+years experience focusing on Model Optimization, Fine-Tuning & Strategic AI in San Francisco, CA.

Role Summary:

You represent the pinnacle of Applied AI engineering. You are not just using APIs; you are optimizing the models themselves. You understand the mathematics behind the attention mechanism, you know how to squeeze performance out of GPUs, and you can customize models for specific domains. You provide the high-level technical vision and handle the most difficult edge cases. .

Key Responsibilities:

Model Fine-Tuning: Implement PEFT (Parameter-Efficient Fine-Tuning), LoRA, and QLoRA to adapt open-source models (Llama 3, Mistral) to specific client domains.

Optimization & Quantization: Perform model quantization to reduce inference costs and latency without sacrificing quality. Manage Dense Vectors and embedding optimizations.

State-of-the-Art Exploration: Continuously research and implement the latest advancements (e.g., State Space Models, Long-Context optimizations) into client deliverables.

Strategic Consulting: Act as a trusted advisor to C-level client executives, defining the "Art of the Possible" and guiding long-term AI roadmaps.

Technical Requirements:

Deep Learning: PyTorch/TensorFlow, Transformers architecture internals, Attention mechanisms.

Model Ops: Serving custom models (vLLM, TGI), GPU memory management, Quantization techniques (GGUF, AWQ).

Advanced Data: Training data curation, synthetic data generation, RLHF concepts.

Tech Leadership: Ability to define the technical culture and set standards for the entire FDE organization.

Soft Skills:

Executive communication and ability to influence C‑level leaders.

Thought leadership and industry presence (conferences, playbooks, forums).

Cross‑org leadership and conflict resolution.

Ability to define long‑term AI vision and cultural standards.

Strategic decision‑making balancing cost, risk, and performance.

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.