Engineering Jobs in Santa Clara Ca Remote

Minimum qualifications

• Bachelor’s degree in a technical field, or equivalent practical experience
• 7 years of experience in manufacturing automation development, including equipment design and validation, process development, and influence of product design teams.

Preferred qualifications

• Experience with high-volume and high-precision consumer electronics
• Experience with robotic manipulators, vision systems, and material handling systems
• Manufacturing process and/or fixture development and validation experience
• Experience generating functional requirements specifications
• Tolerance analysis experience
• Fluency with NX or other CAD tools, DOE, GRR, tolerance analysis, and statistical analysis
• Experience working cross-functionally with global teams and manufacturing partners
• Master’s degree in mechanical or industrial engineering

Responsibilities

• Product definition and architecture selection, in collaboration with design and ID teams, via early design for automation engagement
• Generation of functional requirements specifications for automated adhesive, sealing, screw driving, cleaning, conveyance, and other precision electronic assembly operations
• Automation solution design and development, in conjunction with manufacturing and automation partners
• Development of automation implementation schedules and oversight of factory and site acceptance testing activities

P6 Scheduler – High-Tech Construction Projects | Santa Clara, CA

ASAP is hiring on behalf of our client for an experienced P6 Scheduler to support large-scale high-tech / semiconductor construction projects in the Santa Clara, CA area. This is a contract-to-hire opportunity supporting complex, fast-paced capital projects within an advanced manufacturing environment.

No C2C Inquiries!

Location: Santa Clara, CA (onsite preferred)

Relocation: Considered for the right candidate

Employment Type: Contract-to-hire

Key Responsibilities:

• Develop, maintain, and manage detailed Primavera P6 project schedules
• Collaborate with general contractors, design-build teams, and stakeholders to monitor schedule performance and risks
• Establish and maintain project milestones and logic-driven schedules
• Perform critical path and float analysis and support schedule optimization
• Facilitate pull planning sessions and coordinate scope across project teams
• Monitor project progress through site coordination and validate schedule updates
• Identify schedule impacts, delays, and trends, and recommend corrective actions
• Prepare and present schedule reports and progress updates to stakeholders
• Support development of recovery plans and what-if scenarios
• Ensure alignment and integration across multiple project schedules

Qualifications:

• Bachelor’s degree in Engineering, Construction Management, or related field (or equivalent experience)
• Minimum 5 years of Primavera P6 scheduling experience
• Experience supporting medium to large-scale construction projects
• Strong understanding of CPM scheduling, float, and construction sequencing
• Experience integrating and managing multiple project schedules
• Excellent communication, coordination, and problem-solving skills
• Proficiency in Primavera P6, Microsoft Office, and scheduling/reporting tools (e.g., Smartsheet)

Preferred Qualifications:

• Experience with semiconductor, cleanroom, or high-tech manufacturing projects
• Background in advanced manufacturing, electrical systems, or pharmaceutical construction
• AACE, PMI, or CMAA certification

Trident Consulting is seeking an "Megasys Technician" for one of our direct clients. The client is a global leader in business and technology services.

Job Title: Megasys Technician

Location: Santa Clara, CA

Pay: $21/hr. on W2

Duration: 12 Months

Job Overview

• We are seeking Megasys Technicians (Chem Ops) to support EMD Electronics operations at the Samsung facility in Austin, TX. This is a hands-on technical role responsible for supporting chemical and gas distribution systems used in semiconductor manufacturing.
• Technicians will ensure the safe delivery, maintenance, and operation of chemical and gas systems used in the production of semiconductor chips found in electronic devices such as smartphones, LEDs, and flat screen televisions.
• This position offers on-the-job training, allowing technicians to quickly develop technical expertise and potentially transition into a permanent role based on performance and business needs

Key Responsibilities

Chemical & Gas Operations

• Safely operate assigned chemical and gas distribution systems.
• Handle and perform change-outs of gas cylinders, chemical containers, and slurry containers.
• Monitor chemical and gas supply systems to ensure uninterrupted production.

Equipment Maintenance

• Perform troubleshooting, preventative maintenance, and repairs on chemical and gas equipment.
• Assist in maintaining operational efficiency and system reliability.

System Operations

• Utilize computer systems and operational software to track job functions and system status.
• Support operational reporting and system documentation.

Quality & Compliance

• Follow strict safety and quality protocols in semiconductor manufacturing environments.
• Support quality management systems and operational procedures.

Physical Requirements

Candidates must be able to:

• Walk 5–6 miles per day within the facility.
• Lift materials up to 40 lbs.
• Bend, kneel, and perform overhead reaching.
• Occasionally climb tanker trucks to off-load chemicals using fall protection equipment.
• Wear Personal Protective Equipment (PPE) including:
• Safety glasses
• Hard hat
• Gloves
• Chemical aprons
• Ear protection
• Use a Supplied Contained Breathing Air Respirator when working with chemicals (typically 10–15 minutes).
• Be clean-shaven to properly wear respirator equipment.

A Fit for Duty evaluation is required before starting and annually thereafter, including:

• Pulmonary Function Test (respirator clearance)
• Audiogram baseline
• Physical examination

Preferred Qualifications

• Experience in equipment maintenance or technician roles
• Background in mechanical, electronic, or industrial environments
• Experience with chemical or gas distribution systems (preferred but not required)
• Familiarity with Microsoft Office Suite
• Experience in industries such as:
• Manufacturing
• Oil & Gas
• Chemical processing
• Automotive or mechanical maintenance
• Biotechnology
• Wastewater treatment
• Power plants
• Refinery operations

About Trident Consulting:

Trident Consulting is a U.S.-based IT staffing and consulting firm supporting Fortune 500 and enterprise clients across cloud, data, engineering, and enterprise technology. We’ve been in business since 2005 and focus on long-term, high-quality placements.

Some of our recent awards include

• 2022, 2021, 2020 Inc. 5000 fastest-growing private companies in America

• 2022, 2021 SF Business Times 100 fastest-growing private companies in Bay Area

Are you passionate about learning, data, scale, and agility?

We’re looking for motivated professionals who love turning complex data into meaningful insights and business value. If collaboration, innovation, and problem-solving excite you — let’s connect!

What You’ll Do

• Analyze raw data: assess quality, cleanse, and structure for downstream processing
• Design accurate and scalable prediction algorithms
• Collaborate with engineering teams to bring analytical prototypes to production
• Generate actionable insights that drive smarter business decisions

What We’re Looking For

• Bachelor’s degree (or equivalent experience) in a quantitative field — Statistics, Mathematics, Computer Science, Engineering, etc.
• 1–2 years of experience in quantitative analytics or data modeling
• Strong grasp of predictive modeling, ML algorithms, clustering, and classification techniques
• Proficiency in at least one programming language: Python, C, C++, Java, or SQL
• Familiarity with Big Data frameworks (Hadoop, Spark, Cassandra) and visualization tools (Tableau, Power BI, etc.)

Who Are We?

We are a premier IT consulting firm specializing in delivering top-tier Data Science solutions to companies across various sectors such as finance, energy, e-commerce, logistics, travel, retail, entertainment, automotive, and healthcare.

Company Highlights:

• Our Specialization: Providing IT consulting services.
• Experience: Over 25 years of combined domestic and international expertise in IT consulting serving hundreds of Fortune 1,000 and innovative startup clients.
• Interested in accelerating your tech career through career-enhancing IT consulting experience? Do you meet the required qualifications? If so, apply today! We look forward to hearing from you.

Director of Business Development - San Francisco Bay Area

We are looking to bring on a Director of Business Development who has built meaningful relationships across the education sector throughout the San Francisco Bay Area. This opportunity is well suited for someone who works closely with public and private school districts and has remained connected with leaders involved in real estate, construction, and facilities operations.

The focus of this role is strengthening relationships across the education community while helping identify opportunities where innovative and cost-effective classroom and construction solutions can support schools and districts.

Responsibilities

• Develop and maintain relationships with decision makers across public and private school districts

• Engage with leaders responsible for facilities, real estate, and capital planning

• Identify opportunities for classroom, campus improvement, and construction initiatives

• Introduce innovative and cost-effective classroom and construction solutions

• Represent the organization within the education and facilities community across the Bay Area

Qualifications

• Established relationships within the education sector, particularly school districts (public and private)

• 8+ years of experience working closely with leaders in real estate, construction, and facilities operations

• Background in business development, client development, or strategic partnerships

• Understanding of construction solutions supporting educational facilities

• Ability to build long-term partnerships across the education community

• Bachelor’s degree in Business, Construction Management, Real Estate, Engineering, or a related field

If this opportunity aligns with your background, please apply so we can schedule a time to discuss further. All inquiries are confidential.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Sr. Data Engineer (Hybrid)

Chicago, IL

The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.

At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.

We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.

We have an opportunity at our corporate offices in Chicago for a Sr. Data Engineer (Hybrid) on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.

As a Sr. Data Engineer, you will play a key role in implementing
and maintaining AMA's enterprise data platform to support analytics,
interoperability, and responsible AI adoption. This role partners closely with
platform engineering, data governance, data science, IT security, and business
stakeholders to deliver highquality, reliable, and secure data products. This
role contributes to AMA's modern lakehouse architecture, optimizing data
operations, and embedding governance and quality standards into engineering
workflows. This role serves as a
senior technical contributor within the team-providing mentorship to junior
engineers and implementing engineering best practices within the data platform function,
in alignment with architectural direction set by leadership.

RESPONSIBILITIES:

Data Engineering & AI Enablement

• Build and maintain scalable data pipelines and
  ETL/ELT workflows supporting analytics, operational reporting, and AI/ML use
  cases.
• Implement best practice patterns for ingestion,
  transformation, modeling, and orchestration within a modern lakehouse
  environment (e.g., Databricks, Delta Lake, Azure Data Lake).
• Develop highperformance
  data models and curated datasets with strong attention to quality, usability,
  and interoperability; create reusable engineering components and automation.
• Collaborate with the Architecture Team, the Data
  Platform Lead, and federated IT teams to optimize storage, compute, and
  architectural patterns for performance and costefficiency.
• Build model-ready data sets and feature
  pipelines to support AI/ ML use cases; serve as a technical coordination point
  supporting business units' AI-related infrastructure needs.
• Collaborate with data scientists and AI Working
  Group to operationalize models responsibly and maintain ongoing monitoring
  signals.

Governance, Quality & Compliance

• Embed data governance, metadata standards,
  lineage tracking, and quality controls directly into engineering workflows;
  ensure technical implementation and alignment within engineering workflows.
• Work with the Data Governance Lead and business
  stakeholders to operationalize stewardship, classification, validation,
  retention, and access standards.
• Implement privacybydesign and securitybydesign
  principles, ensuring compliance with internal policies and regulatory
  obligations.
• Maintain documentation for pipelines, datasets,
  and transformations to support transparency and audit requirements.

Platform Reliability, Observability & Optimization

• Monitor and troubleshoot pipeline failures,
  performance bottlenecks, data anomalies, and platformlevel issues.
• Implement observability tooling, alerts,
  logging, and dashboards to ensure endtoend reliability.
• Support cost governance by optimizing compute
  resources, refining job schedules, and advising on efficient architecture.
• Collaborate with the Data Platform Lead on
  scaling, configuration management, CI/CD pipelines, and environment management.
• Collaborate with business units to understand
  data needs, translate them into engineering requirements, and deliver
  fit-for-purpose data solutions; share and apply best practices and emerging
  technologies within assigned initiatives.
• Work with IT Security and Legal/ Compliance to
  ensure platform and datasets meet risk and regulatory standards.
  

Staff Management

• Lead, mentor, and provide management oversight
  for staff.
• Responsible for setting objectives, evaluating
  employee performance, and fostering a collaborative team environment.
• Responsible for developing staff knowledge and
  skills to support career development.

May include other responsibilities as assigned

REQUIREMENTS:

1. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
2. 5+ years of experience in data engineering within cloud environments
3. Experience in people management preferred.
4. Demonstrated hands-on experience with modern data platforms (Databricks preferred).
5. Proficiency in Python, SQL, and data
   transformation frameworks.
6. Experience designing and operationalizing
   ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
   CI/CD processes.
7. Solid understanding of data modeling,
   structured/unstructured data patterns, and schema design.
8. Experience implementing governance and quality
   controls: metadata, lineage, validation, stewardship workflows.
9. Working knowledge of cloud architecture, IAM,
   networking, and security best practices.
10. Demonstrated ability to collaborate across
    technical and business teams.
11. Exposure to AI/ML engineering concepts, feature
    stores, model monitoring, or MLOps patterns.
12. Experience with infrastructureascode
    (Terraform, CloudFormation) or DevOps tooling.

The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.

This role is an exempt position, and the salary range for this position is $115,523.42-$150,972.44. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee's pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association's benefits offerings, please click here.

We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant's race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.

THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION

Power Distribution and Make Ready Designer

Overhead Utility Pole Design • Joint-Use Engineering • NESC-Compliant Make-Ready Work

Location: Kalamazoo, MI / Remote (U.S.)

Are you an experienced Power Distribution Designer or Make-Ready Designer looking to support meaningful utility engineering projects? Join a team that values accuracy, collaboration, and long-term professional growth.

ABOUT THIS OPPORTUNITY
We are seeking skilled Make-Ready Designers (primary focus) and Power Distribution Designers to support engineering programs for major electric and telecom utilities. Ideal candidates bring demonstrated experience in overhead utility pole design, NESC application, clearance assessment, pole loading analysis, and construction package development. Useful design platforms include DDS, Katapult, O-Calc, GIS, MicroStation, AutoCAD, or client-specific drafting systems.

In this role, you will review field/walkout data, evaluate existing attachment conditions, model pole loading, determine make-ready requirements, and prepare accurate construction-ready deliverables. Applicants without utility pole design or distribution engineering experience will not be considered.

Note: This position is remote, but new hires must attend a 2-week paid, in-person orientation at our Perrysburg, OH headquarters.

WHAT YOU WILL DO
• Execute overhead distribution and make-ready design work orders while meeting quality, time, and budget expectations
• Apply established engineering design standards, NESC requirements, and internal processes
• Perform end-to-end make-ready, joint-use, and/or general distribution design
• Conduct permitting and easement research (pole ownership, ROW, property rights, approvals)
• Collaborate with team members to resolve design challenges and ensure accurate deliverables
• Use design software such as AutoCAD, MicroStation, DDS, PoleForeman, O-Calc, Katapult, or client systems
• Perform quality control reviews when required
• Support additional duties as assigned

TOP COMPETENCIES & SKILLS
Make-Ready Engineering, Joint-Use Design, Pole Loading Analysis, Utility Pole Design, Overhead Distribution Design, NESC Compliance, Utility Engineering, Pole Attachments, Make-Ready Construction, Aerial Design, Utility Coordination, Right-of-Way Permitting, Pole Replacement Design, Make-Ready Estimates, Field Survey Interpretation, CAD for Utility Design, GIS for Utility Design, Electrical Distribution Design, Utility Construction Standards, Telecommunications Make-Ready

WHAT WE’RE LOOKING FOR
• High school diploma or equivalent required; an associate degree or higher in engineering, drafting, or a related field is preferred
• Minimum 2 years of experience in make-ready engineering, joint-use design, or electric power distribution design (3+ years strongly preferred)
• Proven experience in utility pole design, including NESC application, clearance analysis, pole loading concepts, and preparation of construction-ready design packages
• Proficiency with CAD or MicroStation; experience with DDS, Katapult, O-Calc, or similar utility design platforms is strongly preferred
• Solid understanding of power distribution construction practices, with the ability to learn utility-specific proprietary systems efficiently
• Must hold a valid driver’s license, maintain active auto insurance, and pass all required background, drug, and MVR screenings
• Authorization to work in the United States is required
• Willingness to travel occasionally, including minimal overnight travel when project needs require
• Ability to work a standard Monday–Friday schedule aligned to Eastern Time, with Central/Mountain/Pacific adjustments as appropriate

PHYSICAL REQUIREMENTS
• Ability to work for extended periods using a computer keyboard, monitor, and telephone
• Ability to prepare and analyze data, review detailed information, and work with design tools requiring close vision, distance vision, color vision, peripheral vision, depth perception, and focus adjustment
• Ability to communicate effectively through oral and written channels

ABOUT SIGMA TECHNOLOGIES
Sigma Technologies is a growing engineering and design firm with 500+ team members across 30+ states. For over 25 years, we’ve supported major power and telecommunications utilities with work that directly impacts communities nationwide. Our core values — Safety, Honesty, Truth, and Decency — shape how we work and who we hire. We are TeamSigma™.

*To learn more about working at Sigma, view our video and career page.
* If you do not have Power Design experience, please refer to our other open positions: *While Designer openings are listed in multiple locations, you only need to apply to one, as they are remote roles.

WHAT WE OFFER
We want our Associates to stay healthy, happy, and secure. We offer a positive work environment with supportive coworkers, managers, and leaders, plus:

• No-cost monthly healthcare plan option for employees
• Competitive pay
• Medical, dental, and vision plans with up to 80% of the premium sponsored by Sigma
• 401(k) plan with matching contributions up to 5% of salary
• Paid holidays, vacation, and sick time
• Education and professional licensing assistance programs

This job advertisement is intended to outline the primary responsibilities and requirements of the role. It is not all-inclusive. Additional duties may be assigned as needed. This ad does not constitute an employment agreement, and job requirements may change based on organizational needs.

Pay is commensurate with experience and education. Sigma is an equal opportunity employer and does not discriminate based on race, color, gender, sexual preference, gender identity, age, religion, national origin, disability, genetic information, veteran/military status, or any classification protected by law.

PM22
#Remote

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