Engineering Jobs in Alameda

Role: Engagement Manager– Digital Health Experience

Location: Remote (U.S.)

Duration: 6-Month Contract

Working Time Zone: PST (Pacific Time Zone)

Position Overview

We are seeking a Engagement Manager– Digital Health Experience to lead the deployment, adoption, and engagement optimization of mobile digital health applications within the U.S. healthcare ecosystem. This role requires a hands-on professional with strong experience in launching digital health platforms, managing deployments, and driving sustained patient engagement through data-driven engagement strategies.

The ideal candidate will have experience deploying consumer-facing healthcare applications used by patients across providers and payer organizations, while leveraging engagement tools and analytics platforms to improve patient adoption, retention, and usage metrics such as DAU/MAU.

This role will work closely with product, engineering, digital marketing, and care management teams to ensure successful rollout of mobile applications and to design engagement loops that increase patient participation and long-term platform usage.

Key Responsibilities

• Lead deployment and rollout of mobile digital health applications across healthcare provider or payer environments.
• Manage end-to-end implementation and project management of digital health platforms, ensuring successful launches and smooth adoption by patient populations.
• Design and implement patient engagement strategies and engagement loops to drive consistent application usage and retention.
• Utilize engagement platforms such as , Intercom, Mixpanel, or similar tools to design communication workflows, patient messaging, and engagement campaigns.
• Monitor and optimize digital engagement metrics, including DAU, MAU, retention rates, and user engagement trends.
• Analyze user behavior data and analytics to improve patient onboarding, engagement journeys, and digital experience.
• Collaborate with product, analytics, and engineering teams to continuously enhance patient engagement features and workflows.
• Coordinate with healthcare stakeholders to ensure digital tools align with clinical workflows and patient care programs.

Required Qualifications

• Strong experience in deploying and managing digital health applications within healthcare provider or payer environments.
• Hands-on experience in project management and platform implementation for consumer-facing digital products.
• Experience driving user engagement, retention, and adoption for mobile or digital applications.
• Familiarity with engagement platforms such as , Intercom, Mixpanel, or similar customer engagement and analytics tools.
• Experience tracking and optimizing digital engagement metrics such as DAU, MAU, retention, and user lifecycle engagement.
• Strong analytical and problem-solving skills with the ability to translate data insights into engagement improvements.

Preferred Qualifications

• Experience working within digital health, healthcare technology, or healthcare consumer platforms.
• Familiarity with healthcare ecosystems including provider systems, payer platforms, and patient engagement solutions.
• Experience integrating engagement tools with mobile health applications or digital health platforms.
• Background working with health systems, health plans, digital health startups, or healthcare technology consulting firms.

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.

Position: Principal AI Engineer

Location: San Francisco CA Hybrid

Contract

Job Summary:

• We are seeking a senior level AI/ML engineering contractor to temporarily step into a technical leadership and team lead role supporting personalization models and the company’s AI platform.
• The ideal candidate can balance technical expertise, strategic decision making, and day to day team guidance to ensure continuity during the leave period.

Required Skills & Experience:

• Senior level 12 years of experience building and operating machine learning systems in production.
• Strong understanding of ranking models, recommendation systems, model evaluation, and experiment design.
• Hands on expertise with modern AI/ML engineering tools (e.g., Python, Spark or similar, cloud-based ML pipelines, cloud model serving frameworks, and API design).
• Ability to lead engineering discussions, guide team members, and provide clear direction.
• Strong organizational skills: able to manage complex projects and maintain structure during a temporary leadership period.
• Excellent communication skills, with the ability to translate technical details into clear action for partners and stakeholders.

Role: Snowflake Architect

Location: Oakland, CA (San Francisco Bay Area)

Employment Type – Contract to Hire

Job Overview

The Data Analytics and Insights team is seeking an experienced and talented Senior Data Engineer to join our growing team of analytics experts. As a key member of our team, you will play an essential role in the design, development, and maintenance of data pipelines, data products, and analytic products in enterprise snowflake. The ideal candidate will have a strong background in data engineering, with specific expertise in Informatica and Snowflake. This role will involve working closely with our business stakeholders, data analysts, and data scientists to ensure the efficient development and management of our data infrastructure.

You will have a unique opportunity to be at the forefront of the utility industry and gain a comprehensive view of the nation’s most advanced smart grid. It is the perfect role for someone who would like to continue to build upon their professional experience and help advance PG&E’s sustainability goals.

Key Responsibilities

• Develop and optimize cloud-based data storage and processing solutions using Snowflake.
• Design, implement, and maintain robust data pipelines and ETL processes
• Collaborate with Federated teams and other data engineers to understand data requirements and deliver high-quality data solutions.
• Ensure data integrity and security across all data workflows and storage solutions.
• Monitor and troubleshoot data pipelines, addressing any issues promptly to ensure the smooth flow of data.
• Develop reusable and modular stored procedures and scripts for data processing.
• Contribute to the development and implementation of data governance and best practices.
• Monitor and troubleshoot data pipelines to ensure reliability and accuracy.
• Implement best practices for data governance, data quality, and metadata management.

Minimum Qualifications

• Bachelor’s or master’s degree in computer science, Engineering, or a related field.
• Minimum of 5 years of experience in data engineering or a related role.
• Proven experience with Snowflake is required.
• Knowledge of data warehousing concepts, dimensional modeling, and performance tuning.
• Hands-on experience with ETL tools (e.g., Informatica, Talend, dbt, or custom ETL frameworks).
• Strong proficiency in SQL and database management.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with version control (Git) and CI/CD for data pipelines.
• Familiarity with Big Data technologies such as Hadoop, Spark, and Kafka is a plus.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.

About Straia

At Straia, we’re building the AI-native intelligence layer for colleges and universities.

Today, colleges run on dozens of disconnected systems, forcing staff to spend hundreds of hours manually reconciling data, compiling reports, and tracking down insights. Straia changes that. We unify institutional data and layer on AI agents that answer questions, generate insights/visualizations, and automate repetitive workflows, transforming how colleges operate.

Over time, Straia will evolve into the core intelligence layer for institutional operations, where every function, from student advising to admissions to budgeting and resource planning, is supported by collaborative AI agents that understand each institution’s unique data landscape.

We recently raised our pre-seed from a16z, Reach Capital, and JFF Ventures, and are now hiring a founding backend engineer to help build the technical backbone of how institutions interact with their data.

The Role

As a Founding Engineer at Straia, you’ll work directly with a small team including directly with our CEO (Ryan), CTO (Alan) and CPO (Nikki) to design, build, and scale the core infrastructure of our platform.

This is a 0 → 1 opportunity to shape not just the product, but the engineering culture, architecture, and trajectory of the company. You’ll ship fast, make key technical decisions, and help define how AI can power the next generation of enterprise data intelligence.

We’re specifically looking for someone who consistently raises the bar. The kind of engineer whose default speed and judgment increase the velocity of everyone around them. If you thrive when expectations are high and the pace is fast, you’ll feel right at home

What You'll Do

• Build the core platform — architect and implement services spanning data ingestion, query orchestration, and agentic AI workflows
• Ship end-to-end features across our React + Node.js + Postgres stack, integrating directly with LLMs like GPT, Gemini, and Claude
• Scale infrastructure on GCP for performance, reliability, and data security
• Collaborate with users (university data teams and administrators) to translate real problems into elegant, powerful solutions
• Lay the foundation for Straia’s engineering culture, best practices, and technical roadmap
• Prototype fast, iterate faster — your work will directly shape how education leaders experience AI in their daily decision-making

Who You Are

• 4–7 years of experience building and shipping full-stack applications, with a strong emphasis on backend systems (Node.js, TypeScript, Postgres).
• Deeply technical, with a track record of building scalable, high-quality software
• Startup-minded — you thrive in ambiguity, love building from scratch, and see constraints as creative fuel
• Mission-driven — excited to improve education through technology that makes institutions smarter, faster, and more equitable
• Collaborative and high-agency — you take initiative, value clear communication, and have the instincts of an owner, not an employee
• AI-curious or experienced — exposure to LLMs, vector databases, or prompt engineering is a plus

Our Stack

• Frontend: React + Vite
• Backend: Node.js + Express, orchestrating data and AI agent workflows
• Data Layer: Postgres + Caching for fast queries
• LLM Integration: GPT, Gemini, Claude via API
• Cloud & Infra: Hosted on GCP

Why Join Straia

• Be one of the first engineers at a venture-backed AI company redefining institutional intelligence in higher ed
• Shape the core architecture and engineering culture from day one
• Work directly with top-tier investors and advisors from a16z, Reach, and JFF Ventures
• Join a small, fast-moving team that works incredibly hard, ships fast, and still makes time for good food, laughs, and adventures — we take our work seriously, but not ourselves
• Build meaningful technology that directly impacts student success and equity across colleges nationwide

What We Offer

• Compensation: $160K–$225K + equity
• Location: San Francisco (in office 4 days a week)
• Benefits: Health (platinum insurance), dental, and vision

**We do not sponsor Visas**

Our clients are seeking an exceptional Patent Associates or Patent Agents to join the intellectual property teams in several offices nationwide.

Candidates must have a degree in electrical engineering, computer science, mechanical, biotech, chemistry, chemical, biomedical.

The successful candidate will have experience drafting and prosecuting patent applications, responding to office actions, assisting in the preparation of opinions and conducting prior art searches OR patent litigation in high tech or life sciences.

USPTO admission is preferred.

Both experienced patent agents and patent attorneys are welcome to apply.

Job Summary

As a General Manager, you will be responsible for overseeing all aspects of our business operations, ensuring optimal performance, growth, and profitability. You will lead a team of sales, operations, technicians, and office staff while developing strong working relationships with employees and clients. This is a critical leadership role that requires exceptional management abilities, strategic thinking, and a strong commitment to achieving organizational goals.

Responsibilities

• Develop business through sales activities on major accounts and creating a network in the region.
• Lead the office in an efficient and profitable manner that is consistent with the overall strategic plan for the company, region, and clientele.
• Oversee all sales, operations, revenue, financial, and management aspects of the San Francisco office including preparing, implementing and adhering to the approved budget and managing to financials and forecasts (including full P&L responsibility).
• Implement strategic plans to drive Stuart Dean's overall growth and success; identify opportunities for operational improvements and implement strategies to optimize performance.
• Develop strong working relationships with staff and clients and to effectively lead a team of sales, operations, technicians, and office staff in the day-today activities and services of the Office.
• Supervise multiple individuals in Sales, Operations, and Office related roles. Mentor and coach employees to continue to grow and develop internally.
• Develop and lead the sales function of the office to further promote revenue and profitability of core services as well as new products and services.
• Oversee the planning, organizing and execution of multiple projects, bids/proposals, and assignments
• Directly manages and leads all staff and management of the Office, conducts hiring, applies company policies and standards, handles terminations, and conducts performance reviews in conjunction with Corporate Human Resources.
• Apply experience and knowledge as it relates to running basic financial accounting and reporting, P&L, budgeting, revenue and cost forecasting, projections, purchasing, and inventory control
• Develop and leverage client relationships to the benefit of the San Francisco office and applying management skills to advance the development of the staff.
• Coordinate activities of businesses or departments concerned with the production, pricing, sales, or distribution of products.
• Establish or implement departmental policies, goals, objectives, or procedures in conjunction with board members, organization officials, or staff members.
• Review financial statements, sales or activity reports, or other performance data to measure productivity or goal achievement or to identify areas needing cost reduction or program improvement.
• Monitor key performance indicators (KPIs) and financial metrics to assess performance and make data-driven decisions.
• Drive business development efforts, identifying new market opportunities and potential partnerships.
• Build and maintain relationships with stakeholders, including clients, suppliers and industry partners.
• Stay informed of industry trends, competitive landscapes, and regulatory changes to ensure Stuart Dean's competitiveness.

Skills & Experience

• Preferably a 4-year college degree in the areas of Business, Architecture, Real Estate, Engineering, Project Management, Construction Management or related areas of study
• A minimum of 5 years working in building services (metal, stone, wood, glass restoration and refinishing), commercial real estate, construction management, related sales, architecture, or the architectural restoration field
• 3 to 5 years at the management level with direct supervisory experience including planning and assigning work, performance assessments, training, hiring, discipline, and development
• Must have a minimum of 2 years of Sales and/or Operational management experience or a combination of the two
• Ability to oversee the planning, organizing and execution of multiple projects; ability to read and understand construction/building specifications and blueprints helpful
• Must have knowledge and experience with aspects of basic financial accounting in commercial real estate, financial reporting, budgeting, forecasting and projections
• Excellent client relationship development and management skills required
• Excellent technical, interpersonal, and analytical skills required
• Excellent written and oral communications skills required

MEP Electrical Engineer and Senior MEP Electrical Engineer

New York City, NY or San Francisco, CA

Permanent, Full Time

HC Solutions Group is partnering with a nationally recognized MEP consulting engineering firm with offices in New York City and San Francisco to identify an Electrical Engineer, and a Senior Electrical Engineer to join their growing team (position can office from either location). This client is a design driven firm known for delivering high performance, sustainable, and architecturally significant projects across diverse building types.

Both roles offer the opportunity to work on complex, innovative building systems from schematic design through construction administration in a collaborative, principal led environment.

About the Role

The MEP Electrical Engineer and Senior MEP Electrical Engineer will be responsible for the design, documentation, and coordination of electrical building systems for commercial, institutional, and mixed use projects. These professionals will collaborate closely with architects, owners, and multidisciplinary MEP teams to deliver technically sound and constructible solutions.

The Senior MEP Electrical Engineer will take on expanded technical leadership, detailed system design responsibility, and mentorship of junior staff.

Key Responsibilities

Responsibilities for both roles include:

• Conceptualize electrical systems and communicate design strategies to clients and stakeholders

• Develop high quality construction documents and technical specifications

• Perform engineering calculations including load analysis, short circuit studies, voltage drop, feeder sizing, generator sizing, and lighting power density

• Design emergency power systems and prepare associated documentation

• Prepare building assessments and due diligence reports outlining existing conditions and system recommendations

• Participate in construction administration including field observations, contractor coordination, submittal review, RFIs, punch lists, and cost review

• Coordinate with internal MEP disciplines and external consultants

• Build and maintain strong client relationships

Additional responsibilities for the Senior MEP Electrical Engineer:

• Prepare detailed power one line diagrams, grounding diagrams, fire alarm layouts, lighting control systems, and complex distribution systems

• Lead project teams and manage electrical scope across multiple phases

• Mentor and develop junior engineers and designers

• Serve as a technical resource for complex code interpretation and system design decisions

Qualifications

MEP Electrical Engineer

• Bachelor's Degree in Electrical Engineering or Architectural Engineering

• Minimum 3+ years of experience in MEP building design

• Experience across multiple project phases from schematic design through construction administration

• Proficiency in Revit, AutoCAD, and Microsoft Office

• Strong knowledge of NEC, NFPA codes, and applicable building codes

• Experience with engineering calculations and energy compliance documentation

• LEED Accreditation preferred

Senior MEP Electrical Engineer

• Bachelor's Degree in Electrical Engineering or Architectural Engineering

• 6 to 10 years of experience in the MEP buildings industry

• Licensed Professional Engineer preferred or required depending on project responsibility

• Demonstrated experience leading electrical system design for complex projects

• Advanced knowledge of NEC, NFPA, and applicable state and local codes

• Strong construction administration experience including submittal review and field coordination

All candidates must be legally authorized to work in the United States without current or future sponsorship.

Key Competencies

• Experience with diverse building types including commercial, institutional, and high performance facilities

• Strong verbal and written communication skills

• Desire to grow into or continue in project management leadership roles

• Creative problem solving and analytical thinking

• Commitment to sustainable and high performance building design

Why Consider This Opportunity

• Offices in both New York City and San Francisco

• Work on architecturally significant and sustainable projects

• Collaborative, principal involved leadership structure

• Strong technical mentorship and professional development

• Exposure to high profile clients and complex design challenges

If you are an MEP Electrical Engineer or Senior MEP Electrical Engineer seeking an opportunity in New York City or San Francisco with a top tier consulting engineering firm, we would welcome the opportunity to speak with you.

Apply today to learn more about these openings!

Job Summary:

We are seeking a skilled Electrical Maintenance Engineer to join our team. The ideal candidate will be responsible for designing, developing, and testing electrical systems and components.

Job responsibilities:

1. Responsible for installation, commissioning, operation, maintenance and transformation of the equipment to ensure the normal operation of the equipment.

2. Responsible for electrical installation, commissioning and maintenance of equipment.

3. Responsible for the fault diagnosis and elimination of the electrical system of the equipment, timely solve the equipment failure, and ensure the stable operation of the production line.

4. Responsible for the maintenance and maintenance of the electrical system of the equipment, formulate and implement the maintenance plan of the equipment.

5. Responsible for the technical transformation and upgrading of the electrical system of the equipment to improve the performance and efficiency of the equipment.

6. Participate in the introduction of new equipment and technical exchanges, provide technical support and suggestions.

7. Participate in the safe production management of the equipment, formulate and implement the safe operation procedures of the equipment.

Job Requirements:

1. Bachelor's degree or above, major in electrical engineering and automation, or related.

2. More than 3 years of equipment electrical maintenance experience.

3. Familiar with the principle of electrical control, proficient in PLC programming and debugging.

4. Familiar with the working principle and operation process of automation equipment and production line.

5. Have a good team spirit and communication skills, can work under pressure.

6. Have strong ability to analyze and solve problems, and can independently deal with equipment failures.

7. Familiar with relevant laws and regulations and safety standards, with safety awareness.