ZipRecruiter

Log In

1

Associate Controls Engineer Jobs in Winters, CA (NOW HIRING)

Deloitte

Forward Deployed Engineer- AWS

Sacramento, CA · On-site

Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

DMG MORI USA, INC

Factory Applications Engineer

Davis, CA · On-site

$38.46 - $45.67/hr

Bachelor's or associate degree in technical related field of study preferred. * 1-3 years of ... Experience working with DMG MORI SEIKI machines with Fanuc and Mitsubishi controls are a PLUS.

Intuitive

Endoluminal Territory Associate

Sacramento, CA · On-site

$15 - $20.25/hr

We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery ... Mandatory Notices U.S. Export Controls Disclaimer: In accordance with the U.S. Export ...

Intuitive

Endoluminal Territory Associate

Sacramento, CA · On-site

$15 - $20.25/hr

We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery ... Mandatory Notices U.S. Export Controls Disclaimer: In accordance with the U.S. Export ...

previous page

Showing results 41-60

All JobsAssociate Controls Engineer JobsAssociate Controls Engineer Jobs in Winters, CA

Associate Controls Engineer information

See Winters, CA salary details

$58.9K

$103.4K

$140.3K

How much do associate controls engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for associate controls engineer in Winters, CA is $103,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $115,600.00 per year, depending on experience, location, and employer.

What does an associate controls engineer do?

An Associate Controls Engineer assists in designing, developing, and maintaining control systems used in manufacturing or industrial settings. They work with senior engineers to implement automation solutions, troubleshoot issues, and ensure equipment operates safely and efficiently. Their tasks often include programming controllers, testing system performance, and supporting the integration of new technologies. This role typically requires knowledge of electrical engineering, programming languages like PLC, and a strong attention to detail.

What are the key skills and qualifications needed to thrive as an associate controls engineer?

To thrive as an Associate Controls Engineer, you need a solid background in electrical engineering, control systems, and automation, often supported by a relevant bachelor's degree. Familiarity with PLC programming, SCADA systems, and industry-standard software such as AutoCAD or Rockwell Automation tools is typically required. Strong problem-solving, analytical thinking, and effective communication skills help you collaborate with cross-functional teams and resolve technical challenges. These competencies are crucial for designing efficient control solutions, ensuring system reliability, and driving project success in automated environments.

What are some common challenges faced by associate controls engineers when working on multidisciplinary teams?

Associate Controls Engineers often collaborate with professionals from mechanical, electrical, and software engineering backgrounds. One common challenge is ensuring clear communication across disciplines, as each team may use different technical jargon and have distinct priorities. Additionally, balancing project timelines while integrating control systems with hardware and software components can require strong organizational and problem-solving skills. Proactively seeking feedback and participating in cross-functional meetings can help Associate Controls Engineers bridge gaps and contribute effectively to project success.

What is the difference between Associate Controls Engineer vs Controls Engineer?

AspectAssociate Controls EngineerControls Engineer
Required CredentialsBachelor's in Electrical, Mechanical, or Automation Engineering; some certificationsBachelor's or higher in related engineering; often more experience or certifications
Work EnvironmentEntry-level, supporting design, testing, and troubleshootingMore independent, leading projects, and system integration
Employer & Industry UsageManufacturing, automation, and industrial facilitiesSimilar industries, with increased responsibilities

The main difference between an Associate Controls Engineer and a Controls Engineer lies in experience and responsibility level. Associate Controls Engineers typically support and assist in projects, focusing on learning and executing tasks under supervision. Controls Engineers take on more independent roles, managing projects and system design. Both roles require similar educational backgrounds and certifications, but Controls Engineers usually have more hands-on experience and leadership responsibilities.

What cities near Winters, CA are hiring for Associate Controls Engineer jobs?

Cities near Winters, CA with the most Associate Controls Engineer job openings:

Associate Controls Engineer jobs near you
Infographic showing various Associate Controls Engineer job openings in Winters, CA as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 28% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $103,413 per year, or $49.7 per hour.

Forward Deployed Engineer- AWS

Deloitte

Sacramento, CA • On-site

Full-time

Re-posted 25 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

46th of 152 rated financial services

Job description

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.


Work you'll do

As an AWS AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:


Client Engagement

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.


Solution Engineering

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.


The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.


Required qualifications 

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
  • 3+ years of experience in software engineering, data engineering, data science, or analytics engineering. 
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with AWS AI&Data including hands on experience with one of the following key platforms/products: Amazon Bedrock, Bedrock AgentCore, Strands Agents SDK, Knowledge Bases, Guardrails
  • 1+ years of experience with AWS Neptune and OpenSearch
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • At least 3 of 6 certifications from the following list: AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI Practitioner (AIF-C01), AWS Certified Generative AI Developer (Professional - AIP-C01), AWS Certified Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate)
  • 1+ years of experience building reliable, maintainable, and well-documented code 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available


Preferred qualifications

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments 
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management 
  • Experience with SageMaker fine-tuning (SFT and RFT) for domain SLMs
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures 
  • Experience operating within hybrid onshore/offshore teams 
  • Familiarity with security, privacy, and compliance considerations


The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.


You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Qualifications:

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.


Work you'll do

As an AWS AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:


Client Engagement

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.


Solution Engineering

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.


The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.


Required qualifications 

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
  • 3+ years of experience in software engineering, data engineering, data science, or analytics engineering. 
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with AWS AI&Data including hands on experience with one of the following key platforms/products: Amazon Bedrock, Bedrock AgentCore, Strands Agents SDK, Knowledge Bases, Guardrails
  • 1+ years of experience with AWS Neptune and OpenSearch
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • At least 3 of 6 certifications from the following list: AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI Practitioner (AIF-C01), AWS Certified Generative AI Developer (Professional - AIP-C01), AWS Certified Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate)
  • 1+ years of experience building reliable, maintainable, and well-documented code 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available


Preferred qualifications

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments 
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management 
  • Experience with SageMaker fine-tuning (SFT and RFT) for domain SLMs
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures 
  • Experience operating within hybrid onshore/offshore teams 
  • Familiarity with security, privacy, and compliance considerations


The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.


You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Education:Bachelor's DegreeEmployment Type:

What Deloitte employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply