Engineering Journal Jobs in New Almaden, 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.

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

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

What you’ll do:

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

Does this sound like you?

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

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

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

Cannot wait to hear more about this position?

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

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

Summary:

The Senior Manufacturing / Process Engineer is responsible for developing, implementing, and improving manufacturing processes for electronic assemblies in a high-mix, low-volume environment. This role supports both the U.S. and Vietnam facilities, ensuring process repeatability, cost efficiency, and product quality across SMT, Through-Hole, and system assembly operations. The senior manufacturing process engineer will report directly to the VP of operations.

Goals:

• Build products and provide services with the highest Flexibility, Productivity, and Quality.
• Achieve total customer satisfaction through technical excellence and responsive engineering support.
• Ensure successful NPI launches through cross-functional collaboration, process validation, and data-driven feedback to design and quality teams.

Objectives:

1.      Support production operations in the following categories:

a.      Reduce downtime caused by engineering issues (programming, MPI errors, tooling, design, or line stoppage).

b.      Improve quality yield through root cause analysis, corrective actions, and robust process setup.

c.      Lead NPI and prototype builds, ensuring process readiness, documentation completeness, and manufacturability validation prior to production release.

2.      Provide engineering services to meet customer needs and expectations in the following areas:

a.      Design for Manufacturability (DFM).

b.      Manufacturing Process Instruction (MPI) creation and maintenance.

c.      Engineering Change Order (ECO) implementation.

d.      Defect Reduction Team (DRT) meetings and follow-up actions.

e.      Failure analysis and corrective action documentation.

f.       Develop and validate new or modified processes, including process capability studies, DOE validation, and reflow/wave solder profile optimization

g.      Other engineering requests as required by customers or management.

Job Description:

SMT / Through-Hole / 2nd Ops / 3rd Ops Process Support

1. Review daily SMT or build schedule to ensure process readiness.
2. Confirm all required items are complete and available prior to production:
3. Job package with full build documentation.
4. Manufacturing Process Instruction (MPI) reviewed and approved.
5. Routing definitions for data collection.
6. Validated reflow or wave solder profiles.
7. ECOs, deviations, or special instructions incorporated into the MPI and/or job package.
8. All required tooling available and verified.
9. Review pre-build DFM, document known defects, and hyperlink details in the MPI.
10. Lead cross-functional NPI kickoff meetings to review design requirements, risk areas, and special process considerations.
11. Document and track NPI issues and lessons learned for future builds.
12. Coordinate with Program Managers to resolve DFM showstoppers prior to build.
13. Analyze previous quality data, identify recurring defects, determine root causes, and implement corrective actions.
14. Design, order, and verify all required tooling (stencils, wave solder pallets, press-fit fixtures, conformal coat fixtures, etc.).
15. Maintain tooling logs, labeling, and readiness tracking within Omega Build Readiness.
16. Inspect and sign off first article setups for critical processes (stencil printer, reflow oven, wave solder, etc.) using the First Article Checklist.
17. Inspect initial boards after print and reflow for solder release, bridging, voids, and process anomalies. Document findings and sign off the First Article Report.
18. Provide on-the-floor training for operators and technicians regarding new processes, corrective actions, or observed deficiencies.
19. Support production by promptly responding to technical inquiries or line support issues.
20. Exercise full authority to stop the line if repeated defects or safety concerns are observed.

Quality Data Review & Root Cause Analysis

1. Review production data in Omega Data Collection, identifying root causes and corrective actions.
2. Review Daily, Weekly, and Customer Quality Reports to identify trends, recurring issues, or process gaps.
3. Provide structured analysis and report findings to Quality and Production (using 8D or equivalent methodology).
4. Document corrective actions and verify implementation during the next production run.
5. Present findings and improvement updates in internal and customer quality meetings.

Other Responsibilities:

1. Create and submit Post-Build DFM reports to Program Managers with improvement recommendations.
2. Implement and validate ECO changes per revision control procedures.
3. Perform and document detailed failure analyses for internal and customer returns.
4. Participate in process improvement projects and defect-reduction initiatives.
5. Provide customer-driven engineering services or special support requests.
6. Develop and deliver internal technical training for operators and peers.
7. Support ISO 9001 and AS9100 activities, including audits, documentation, and Work Instruction updates.

Qualifications:

• Bachelor’s degree in Manufacturing, Industrial, or Mechanical Engineering (or related discipline).
• 8–12 years of hands-on experience in electronics manufacturing (PCBA, box-build, system integration).
• Deep understanding of SMT, Through-Hole, and system assembly processes.
• Proficient in process validation, FAI, SPC, DOE, and yield improvement.
• Familiarity with FactoryLogix and related MES/ERP systems.
• Experience leading NPI builds and developing new assembly processes from prototype through production release.
• Familiarity with DFM/DFT analysis tools and PCB CAD systems (e.g., Altium, Valor, Mentor).
• Experience with Lean, Six Sigma, and structured problem-solving tools.
• Strong communication and analytical skills with the ability to multitask in a fast-paced environment.
• U.S. Citizen or Permanent Resident (ITAR requirement).

Compensation:

$120-$150K Annually

Benefits:

Medical

Dental

Vision

401K + Roth 401K

Vacation

Paid Holidays

Local to Bay area

1 day onsite @ Oakland office.

Role must interface with both business and engineers; expected to work directly with engineering teams.

Focus is on the enterprise data platform and data engineering; not an analytics/visualization role.

Core technical expectations

Strong data ecosystem background: experience leading data products or data warehousing initiatives.

Solid understanding of schemas, databases, and ETL (Extract, Transform, Load) processes; no hands-on coding expected but must be able to engage deeply with engineers and “know what they are talking about.”

Primary data warehouse platform: Snowflake.

Broader big data background acceptable if not purely Snowflake (e.g., Databricks, BigQuery, Redshift).

Current ETL tool: Informatica; hands-on Informatica expertise is not required.

Analytics/visualization not in scope; Power BI knowledge is a nice-to-have, not mandatory.

Role and scope

Titles vary across industry: product owner (PO), project manager, scrum master, TPM; at PG&E, similar roles may be labeled “product managers.”

Not seeking a pure scrum master or a typical external-facing PO who only writes requirements.

Role must interface with both business and engineers; expected to work directly with engineering teams.

Focus is on the enterprise data platform and data engineering; not an analytics/visualization role.

Core technical expectations

Strong data ecosystem background: experience leading data products or data warehousing initiatives.

Solid understanding of schemas, databases, and ETL (Extract, Transform, Load) processes; no hands-on coding expected but must be able to engage deeply with engineers and “know what they are talking about.”

Primary data warehouse platform: Snowflake.

Broader big data background acceptable if not purely Snowflake (e.g., Databricks, BigQuery, Redshift).

Current ETL tool: Informatica; hands-on Informatica expertise is not required.

Analytics/visualization not in scope; Power BI knowledge is a nice-to-have, not mandatory.

• 
  
• Bachelor's or Master of Science Degree in Electrical Engineering
  
• At least 4 years of Electrical Engineering Experience
  
• Proficiency working with AutoCAD
  
• Proficiency with the Microsoft business suite, including Word and Excel
  
• Proficiency working with SKM PTW PowerTools or similar electrical analysis software
  
• Experience within an operational environment
  

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• Engineer in Training (EIT) or ability to obtain
  
• Working knowledge of Revit or BIM software
  
• Experience with database creation and maintenance such as MS Access
  
• Strong communication skills both verbal and written
  
• Strong analytical and problem-solving skills
  
• Forward thinking, eager to learn best practices, and contribute with innovative ideas
  
• Displayed ability to learn quickly and driven to broaden knowledge base
  
• Ability to collaborate and work effectively in a variety of teams, including multi-disciplinary teams
  
• Passionate about buildings and construction
  

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• This is an on-site position requiring work to be performed on the client site in vicinity of San Jose, CA
  
• Candidate must be willing to commute to the site Monday-Friday during normal core business hours - of 9:00 am to 4:00 pm with flexibility based on need of client interactions
  
• Relocation assistance may be provided for qualified candidate.
  

Job Description:

Mandatory to have working experience as SRE manager especially in Retail domain application support ( NOT CLOUD /DevOps)

Must have working knowledge on SRE principles such as Logs, metrics, availability metrics, uptime, ticket tracking, e-com services, ITIL framework specifically on Alerts, Incident, change management, CAB, Production deployments, Risk and mitigation plan, SLA, SLI, SLO

Hands on experience in Monitoring, Logging, Alerting, Dashboarding, and report generation in any observability tools Prefer DataDog or other tools such as Splunk/Dynatrace/ELK/Grafana). This engagement is a customer using Dynatrace,Splunk, PagerDuty hence it is good to have this expertise

Mandatory to have work experience in leading Level 2/Level 3 application support team based out of IND who provide 24x7 coverage.

Should know how to gather & communicate SRE requirement from customers and define SRE roadmap.

Working experience on how to gather requirements on health of applications, services to monitor, setting service levels.

Must have good knowledge on eCommerce platforms in microservice architecture, Sterling OMS , Retail Applications like XStore.

Should be able to lead P1 calls, brief about the P1 to customer, proactive in gathering leads/ customers into the P1 calls till RCA, PIR etc.

Should have knowledge on building process , framework by following ITSM principles, SOP, runbooks, handling any ITSM platforms (JIRA/ServiceNow/BMC Remedy)

Must know how to work with the Dev team, cross functional teams.

Should be able to generate WSR/MSR by extracting the tickets from ITSM platforms, present to customers and client leaders.

Manage overall SRE delivery, customer focus mindset , closely work with customer leaderships.

Preferred:

Be a client face at customer site collaborating with client leadership.

Ability to clearly communicate and understand a technical idea/concept.

Ability to work in a professional environment while interacting with peers and stakeholders, collaborating with offshore teams.

Excellent written and verbal communications skills.

Motivated, goal driven, influential, innovative, curious, and open minded, fun to work with, collaborator.

Capability to work with people in different time zones.

Ability to operate in a fast-paced, evolving environment and appropriately prioritize tasks, and keep abreast of the latest technology.

Collaborate with cloud architecture, infrastructure team, project management team, and technology services, management team.

Create and maintain detailed documentation.

Automation CSV Engineer (Biotech/Pharma)

Location – California Bay Area

Please note: We are only considering W2 candidates at this time. Applications from third-party vendors or C2C arrangements will not be considered.

ADVENT Engineering is an engineering and consulting firm providing expertise to the pharmaceutical and biotechnology industries. Headquartered near San Francisco, California, and with operations in the Eastern and Western US, Canada and Singapore, our company is involved in almost every facet of global pharmaceutical and biotechnology facility design and process engineering and quality system projects.

ADVENT's services include process engineering, automation engineering, project engineering, facility/system design, start up and commissioning, validation and compliance consulting for distinguished and successful biotechnology and pharmaceutical manufacturing companies.

The successful candidate will work with a group of engineers involved in the design, automation, commissioning and start-up of various processes, systems and facilities. A combination of strong technical aptitude, automation engineering skills and technical writing are the desired skill set.

This is an outstanding opportunity to join our growing team!

Position Overview

We are seeking an experienced Sr. Automation CSV Engineer to support a complex automation system migration project at a large, regulated biotechnology/pharmaceutical manufacturing site in the California Bay area. The ideal candidate will bring deep, hands-on expertise in PCS and MES system migration, validation, and implementation, with a strong preference for experience in Rockwell and PharmaSuite environments.

This role requires a senior-level engineer capable of independently executing and leading CSV and automation activities while collaborating closely with cross-functional teams.

Key Responsibilities

• Lead and execute CSV and automation activities for PCS/MES system migration projects
• Support implementation, migration, commissioning, and validation of:
• PCS systems (Rockwell, Honeywell)
• MES systems (PharmaSuite, POMSnet)
• SCADA and PLC platforms
• Author, review, approve, and execute CSV lifecycle documentation, including:
• Validation Plans
• Risk Assessments
• Test Protocols (IQ/OQ/PQ)
• Traceability Matrices
• Validation Summary Reports
• Ensure compliance with SDLC, 21 CFR Part 11, Annex 11, Data Integrity, and GAMP 5
• Manage and document software changes throughout the SDLC per site procedures
• Support programming, configuration, commissioning, and validation of Rockwell and PharmaSuite platforms
• Collaborate with automation, IT, QA, and manufacturing teams
• Support troubleshooting, root cause analysis, and deviation investigations as needed
• Communicate effectively with stakeholders at all levels

Required Qualifications

• 8+ years of experience in CSV and Automation within a regulated biotech/pharma environment
• Hands-on experience with implementation, migration, and validation of:
• PCS (Rockwell and/or Honeywell)
• MES (PharmaSuite, POMSnet)
• SCADA/PLC systems
• Strong, hands-on expertise with Rockwell and PharmaSuite (required)
• In-depth knowledge of:
• SDLC
• 21 CFR Part 11 / Annex 11
• Data Integrity
• Computerized System Validation (CSV)
• Ability to work independently and collaboratively in team environments
• Excellent verbal and written communication skills

Preferred Qualifications

• Familiarity with S88 Batch Standard
• Experience with Rockwell software object development
• MES recipe authoring and testing experience
• Experience with Kneat

Additional Information

• This position requires 100% onsite support in California
• Long-term project opportunity in a regulated manufacturing environment