Engineering Structures Jobs Full Time Jobs in None, CA

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

A premier motorsports industry leader is seeking a skilled Engine Builder / Automotive Mechanic to support the assembly, maintenance, and optimization of high‑performance racing vehicles and hybrid systems. This role involves building and rebuilding client chassis/vehicles, performing detailed inspections, ensuring quality control, and contributing to peak race‑car performance, reliability, and drivability.

You will also support teardown, inspection, precision measurement of components, and assist in mentoring new team members in proper build procedures and best practices.

Key Responsibilities

• Vehicle & Chassis Assembly: Build and rebuild racing chassis, vehicles, and hybrid systems, including sub‑assemblies and final assemblies.
• Quality Control: Perform detailed inspections on components, document findings, and support corrective action planning.
• Teardown & Inspection: Conduct teardown, inspection, and precise measurement of engine and chassis components.
• Final Fitting & Integration: Carry out final fitting of new or rebuilt parts to ensure optimal performance and reliability.
• Training & Mentorship: Train new associates in correct procedures, build methods, and quality standards.
• Performance Support: Assist in identifying and resolving chassis/vehicle faults to improve drivability and race‑ready performance.
• Documentation: Maintain accurate records of inspections, measurements, build notes, and component conditions.

Required Experience (5+ Years)

• High school diploma or equivalent required.
• Hands‑on experience focused on automotive and/or heavy equipment maintenance and repair.
• Training in Automotive Mechanics, Automotive Technology, or a related field—or certification from a post‑secondary vocational program—is a plus.

Skills & Qualifications

• Proven ability to perform complex repairs across a wide range of automotive systems.
• Strong diagnostic capabilities and accuracy in identifying mechanical issues.
• Ability to read and interpret:
• Technical repair manuals
• Circuit diagrams
• Blueprints
• Technical drawings and shop prints
• Mechanical curve charts
• Ability to work from written or verbal instructions—or independently from your own diagnosis.
• Capable of organizing and planning the work of others when needed.
• Strong communication abilities, including reading, writing, and speaking English effectively for technical tasks and teamwork.
• Excellent interpersonal skills, initiative, and sound judgment.
• Physical strength, agility, and endurance appropriate for the position's demands.

Apply now to join a team where engineering excellence and racing performance go hand in hand.

Vice President of AI Infrastructure & Engineering

Reporting to: CEO

Position Overview

*Build and Overscale Training Platform:* Design and maintain high-performance training architecture supporting GPU clusters at the scale of tens of thousands of cards.

*Key Focus:* Establish a unified task scheduling and model management system (MLOps). All model training, checkpoint storage, and code version control must be exclusively conducted through this platform.

*Engineering-Led Data Governance:*

Develop end-to-end data processing pipelines covering cleansing, annotation, versioning, and secure storage.

*Key Focus:* Implement rigorous data access audit logs and data lineage tracking to ensure security and compliance of core data assets.

*Developer Experience as Control Mechanism:*

Maximize experimental efficiency through standardized toolchains, enabling researchers to focus solely on algorithm development without managing underlying configurations.

*Key Focus:* Codify “best practices” into reusable code templates.

*System Reliability and Disaster Recovery:*

Implement fault tolerance, automated model snapshot archiving, and continuity protocols to prevent loss of critical assets due to single points of failure (hardware or human).

Qualifications

*Background:* 10+ years in distributed systems, cloud computing, or high-performance computing (HPC), with prior experience in core infrastructure teams at leading firms such as Google, Meta, AWS, or NVIDIA.

*Mindset:* Exceptional engineering rigor with a focus on building stable, scalable systems rather than solely pursuing algorithmic innovation. Service-oriented attitude with a commitment to empowering top-tier scientists.

*Technical Skills:* Proficiency in orchestration systems such as Kubernetes, Ray, or Slurm; familiarity with PyTorch distributed training frameworks; deep understanding of data security and access control mechanisms.

Title: Engineering technician/ Equipment technician

Work Location: Fremont, CA 94538

Duration: 12 Months

Job Type: Temporary Assignment

Work Type: Onsite

Shift: Grave shift 10:30pm-6:30am

Pay rate: $3 /hr.

Overview:

TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide.

Job Description:

We are seeking a person capable of running an Intevac 200L sputter machine in a proficient manner to fulfill the requests for the Media Development Engineering organization. Tasks and duties will include processing experiments precisely as documented or requested by the Engineering staff. Requirements are to work in class 10 /100 cleanroom environment, follow all procedures and protocols, follow instructions well, provide feedback to coworkers/leads in a constructive/positive manner, provide technical support and suggestions to Engineering, run sputter machines efficiently and effectively, collect sputter related data on metrology tools, maintain excellent documentation, work collaboratively in a team environment to help exceed goals. These items listed below CAN be trained.

Pilot Line Operations includes - processing of the media through various media processes and equipment which includes but is not limited to the following:

• Processing of experiments for the Engineering team - processing discs through the various tools, measurement of the media, data entry, and feedback to engineering and management of the results.
• Work inside of a cleanroom - 100% PPE suits from head to toe with masks and safety glasses are required.
• Job requires a good amount of movement (walking - 50% depending on the job) to retrieve parts from point A to point B in many cases.
• Reaching is required in many cases to load and unload products onto racks, machines, etc., typically ranging from 24 inches to 53 inches not exceeding 10lbs.
• Many cases cart is provided for the transport of product, but hand carrying of product/material is required majority of the time as well.
• Computer skills are required in all the areas since the machines and the processes require computer and software interface. Interaction with Engineering is required via email, phone and excellent understanding and communication skills are required. Comprehension of correct recipes, file savings, instructions are followed precisely. Detailed use of excel is a must and understanding of Windows.
• Job requires stepping onto step stools to reach platforms for the processing of parts, as well as bending/kneeling in tight spaces for access to back of tools for process checks.
• Manual dexterity is needed in some areas to perform tape changes, adjustments based upon data received from Engineering or checklists. MDW process requires detailed manual dexterity with ESD sensitive parts and miniature assembly.
• Many of the jobs require cross training to be able to utilize the employees efficiently for planning purposes and downtime in areas.
• Saturday workday is required and part of their schedule in many cases and overtime is required.
• Must be able to focus, excellent attendance, comprehension, enthusiastic in performing their jobs, communicate detailed information well, pay attention to details, and have a good attitude and work ethics, and a true team player in getting tasks at hand completed in a timely manner.

Required qualifications:

• No previous experience required – on the job training will be provided
• Proficient computer skills (Microsoft Office – email, basic Excel, Word, and PowerPoint)
• Excellent communication skills
• Professional, reliable, responsible, dependable, etc

TekWissen® Group is an equal opportunity employer supporting workforce diversity.

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Production Engineering at Pinterest is an evolution of our Site Reliability Engineering organization blending a hybrid of systems and software engineering with a focus on scaling, resiliency, reliability, performance, and efficiency. Our organization accomplishes this through building & integrating software, increasing automation, and infusing our knowledge & best practices into our Platform products so we can scale our large distributed systems to keep our customers happy, and our Pinners inspired. We also do this by developing short and long term embedded engagements with our engineering partners to help remove barriers, up-level reliability & best practices, and maintain a high consistent bar for reliability in a fast paced ever changing environment. We are always on a mission to improve reliability while also increasing engineering velocity, reducing toil and KTLO impact for both ourselves and our customers: fast, efficient, quality - we will accomplish all three!

What you'll do:

• 
  
• Lead our engineers to deliver on the biggest impact work across engineering to ensure we're infusing best practices into our products relating to reliability, scalability, performance and efficiency
  
• Drive technical architecture discussions; including being capable of driving and decision making for technology or applications that you have not had previous experience with
  
• Continuously assess your team's performance, address and coach under-performance, and recognize and promote high performance
  
• Create an inclusive and welcoming workplace where every team member feels valued and supported
  
• Foster an environment of open and honest communication, allowing team members to be safe to fail, encourage risk taking with a fail-fast mentality, and establish forums where they can share their ideas
  
• Empower engineers to develop their careers, matching their strengths with projects tailored to their skill levels, long-term skill development, personalities, and work styles
  
• Create an inspiring team charter and direction that align with the goals of the broader Production Engineering organization
  
• Develop strong partnerships with Product & Program Management partners across infrastructure by communicating a clear and impactful vision and priorities
  
• Establish team norms around planning, execution, and continuous improvement
  

What we're looking for:

• 
  
• 3+ years experience managing teams within an SRE, Production Engineering or other Platform/Infrastructure organizations
  
• Customer obsession: Demonstrated ability to work cohesively and build relationships with partners across engineering disciplines and capable of influencing without authority
  
• Familiarity with the concepts and use cases for SDLC including SCM tools, Build platforms, test frameworks, CI/CD products
  
• Familiar with usage and high level architecture of data platform technologies such as relational databases, storage & caching, key value stores, time series data stores, etc.
  
• Strong domain expertise in reliability concepts and best practices with the ability to innovate and provide thought leadership and direction in this problem space
  
• Hands on familiarity with public cloud platforms such as AWS, GCP, or Azure
  
• Knowledge of Linux systems internals and networking
  
• Thrive in an environment with a lot of ambiguity with the ability to be self sufficient and ruthlessly prioritize the highest impact projects
  
• Infrastructure technologies such as Docker, Kubernetes, Tensorflow, ElasticSearch, ZooKeeper, and Infrastructure as code (e.g. Terraform, Puppet, Chef, Ansible, Salt, Fabric, etc)
  
• Heavy bias toward action; able to drive resolution and making quick decisions balancing being data driven along with leveraging your experience & judgement
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-REMOTE

#LI-JT1

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Sr. Engineering Manager, AI/ML Serving Platform

The AI/ML Serving Platform team provides foundational tools and infrastructure used by hundreds of AI/ML engineers across Pinterest, including recommendations, ads, visual search, growth/notifications, trust and safety. We aim to ensure that AI/ML systems are efficient, healthy (production-grade quality) and fast (for modelers to iterate upon).

Pinterest is seeking a Sr. Engineering Manager to lead the team that builds the serving and deployment infrastructure for all AI/ML models at Pinterest. Systems include:

• 
  
• Ultra-high-performance C++ model inference engine for production recommendations and content ranking systems. TorchScript + CUDA Graph models on GPU inference, serving 500+M inferences/second.
  
• Production GenAI & LLM model inference stack for emerging use cases.
  
• Model routing, deployment, monitoring. Kubernetes-based provisioning.
  
• Feature fetching, caching, and logging
  

What you'll do

• 
  
• Lead the team to deliver continual improvements in advanced model architectures, cost-efficient resource utilization, and AI/ML developer productivity.
  
• Set technical direction for the team based on company and org priorities
  
• Coach and develop talent on the team.
  

What we're looking for:

• 
  
• Experience managing platform engineering teams with many cross-organizational customers
  
• Experience leading the development of large-scale distributed serving systems
  
• Experience with AI/ML inference technologies (e.g. PyTorch, TensorFlow) for online serving at Web scale
  
• Bachelor's degree in Computer Science, a related field or equivalent experience.
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-REMOTE

#LI-AH2

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Role: Engineering Lead (Java/DevOps)

Location: Burbank, CA - Onsite, Hybrid

1) 8+ years in full-stack development

a. Experience building distributed systems with strong proficiency in Java/Spring Boot, Angular (or React/Vue)

2) DevOps fluency: Proven track record designing and delivering AWS-native architectures (Lambda, API Gateway/AppSync, Step Functions, Event Bridge, DynamoDB/RDS, S3)

a. 8+ years of experience.

3) 8+ years of CI/CD fluency: Hands-on with CI/CD pipelines.

a. (GitHub Actions or AWS Code Pipeline), Infrastructure as Code (CloudFormation/CDK/Terraform), and automated testing frameworks. You help the team maintain stability, automate deployments, and manage the integrity of development across environments (Dev, QA, Prod).

Technology Requirements:

1) Full-Stack Depth & Breadth

Experience building distributed systems with strong proficiency in Java/Spring Boot, Angular (or React/Vue), and AWS-native architectures (e.g., Lambda, Step Functions, Event Bridge, AppSync, DynamoDB).

2) DevOps and Automation Expertise

You’ve led teams through CI/CD transformations, working with tools like GitHub Actions, AWS Code Pipeline, or Terraform/CDK, and helped establish reliable, repeatable release pipelines

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.

Director, Chemical Engineering & Manufacturing

Salary Range: $171,000 - $224,500 Financial compensation packages may be higher/lower than what is listed, and will ultimately depend on factors including relevant experience, internal equity, skillset, knowledge, geography, education, business needs & market demand

Lead the development, scale-up, and industrialization of advanced medical chemistries for commercial manufacturing/production. Responsible for driving process development, ensuring robust process capability and applying design of experiments (DOE) methodologies to optimize chemical manufacturing processes. Proven track record of successfully scaling chemistry-based products in a regulated environment required. Job duties:

• Leadership in Chemical Manufacturing: Oversee all aspects of chemical production and engineering for new and existing products, ensuring compliance with medical device and regulatory standards.
• Process Development & Optimization: Drive process development initiatives, applying design of experiments and statistical methods to achieve high-quality, cost-effective production.
• Industrialization & Scale: Lead efforts to scale and industrialize medical chemistries from pilot to full commercial production.
• Continuous Improvement: Utilize Six Sigma engineering principles and maintain Black Belt certification standards to improve efficiency, reduce variability, and enhance process capability.
• Cross-Functional Collaboration: Partner with R&D, Quality, and Operations teams to ensure seamless integration of new chemistries into manufacturing environments.
• Team Development: Build and mentor a team of chemical engineers and production specialists to support growth and innovation.

Required Qualifications

1. Bachelor’s degree in chemical engineering or chemistry.
2. Minimum twelve (12) years of relevant professional experience in chemical manufacturing/production and chemical engineering, with demonstrated success in process development and industrialization.
3. Minimum five (5) years of leadership or management experience/responsibility.
4. Proven track record of scaling and industrializing medical chemistries for commercial success.
5. Strong knowledge of Six Sigma engineering (Black Belt trained).
6. Expertise in the design of experiments, process capability, and process development methodologies.
7. Experience in medical device or regulated chemical manufacturing environments.
8. Proven track record of successfully managing complex projects and delivering results on time and within budget.
9. Exceptional leadership, written and verbal communication, and stakeholder management skills.
10. Proficiency in project management software and tools and MS Office Suite, including Word, Excel, Outlook, and Teams.

Desired Qualifications

1. Advanced degree in a relevant field of study.
2. MBA a plus.
3. Six Sigma Engineering.

EEO

We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law.

Fair Chance Ordinance

If you are applying to perform work for Terumo Neuro in any position which will involve performing at least two (2) hours of work on average each week within the unincorporated areas of Los Angeles County, you can find here a list of all material job duties of the specific job position which Terumo Neuro reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.

Terumo Neuro will consider for employment qualified job applicants with arrest or conviction records in accordance with the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance.

JT Wimsatt Contracting Co, Inc., a building industry leader, founded in 1992, delivering projects with superior quality, on time and within budget for our clients. JT Wimsatt serves both public and private sector clients with a range of commercial, industrial, residential, government and specialty construction projects.

We are currently seeking a Project Manager for our San Diego location to provide overall management and assume full responsibility for assigned projects and interface with Client/Owner. Reports to Project Executive. Construction experience is a MUST, with a background in structural concrete highly preferred.

Our Benefits include:

• Medical, dental, vision and more
• Basic employee-only health plan and basic life insurance is free to employees
• Competitive salary
• Bonus opportunities
• 401k plan with company match
• Flexible spending and dependent care accounts
• Excellent PTO program, including 8 paid holidays

Duties and Responsibilities

• Works as a team with Project Superintendent.
• Manage assigned Project Engineers
• Ensures the project is planned and staffed according to the budget
• Regularly walk job sites to monitor production and constantly implement improvements.
• Hold weekly meetings with the Project Team to review project data and ensure successful completion
• Plans overall construction schedule
• Tracks project as-built schedule
• Implementation of JTW Project Control Systems.
• Establish project objectives, policies, procedures and performance standards within company policy.
• Manage and be responsible for financial aspects of contracts by ensuring that pricing is completed timely and collected timely from client.
• Monitor/control construction through administrative direction of site superintendents to ensure project is built on schedule and within budget; investigate & resolve risks to profitability.
• Provide strong leadership and guidance to field and site superintendents.
• Initiate and maintain liaison with client/owner and A/E contacts, to facilitate construction activities.
• Participate as requested in the marketing, estimating, bidding and contract negotiations phases of assigned projects.
• Prepares and submits monthly, weekly progress reports and cost reports.
• Represent company/project in meetings with client, subcontractors, etc. as required.
• Review and approve all purchases and ensure Purchase Order/Buy Out process is followed.
• Performs other tasks as directed by supervisor.

Position Requirements

• Structural concrete construction experience is a MUST
• B.S. degree in Civil Engineering, Construction Management, Urban Planning, or relative field
• 8+ years or more experience in managing projects
• Thorough knowledge of contract documents, materials, equipment utilization, scheduling systems/computer software, productivity analysis, construction operations, and cash flow procedures.
• Excellent communication and interpersonal (tact, diplomacy, influence, etc.) skills essential.
• Computer literate with Microsoft Word, Excel, Project, Vista Viewpoint and Primavera software.
• Periodically travel around Southern California.
• Upon hire all candidates must provide proof of legal right to work in the United States and pass a background check, drug screen and physical. No sponsorship available at this time.