Engineering Jobs in Gustine Merced County Ca Remote
199 positions found — Page 6
About Us:
Turing is one of the world’s fastest-growing AI companies, pushing the boundaries of AI-assisted software development. Our mission is to empower the next generation of AI systems to reason about and work with real-world software repositories. You’ll be working at the intersection of software engineering, open-source ecosystems, and frontier AI. Project
Overview:
We’re advancing the frontier of AI by training large language models to think like skilled legal professionals. Our goal is to build high-quality evaluation and training datasets that capture the real reasoning challenges lawyers and legal scholars face.
You’ll work on ambitious, high-impact projects within the legal domain: from evaluating how models handle complex hypothetical cases to refining their ability to apply U.S. law with precision and nuance. This is an opportunity to shape how AI systems learn to reason like attorneys — not just recall statutes — and directly influence the future of AI in the legal industry.
Role Overview — What Does a Typical Day Look Like?
You’ll work alongside top AI researchers and legal experts shaping foundational LLMs at leading AI labs to:
- Review and evaluate model outputs on complex U.S. legal hypotheticals across multiple domains of law.
- Apply a structured legal rubric to assess accuracy, relevance, logical reasoning, and application of law.
- Identify gaps, edge cases, and reasoning blind spots — helping define new benchmarks for legal understanding in AI.
- Provide clear, consistent annotations and detailed feedback that directly improve model fine-tuning and legal reasoning capabilities.
Required Skills & Experience
- Juris Doctor (J.D.) from an accredited U.S. law school, with active or inactive Bar admission.
- 3+ years of experience practicing law or teaching at a U.S.-based law school.
- Proven ability to apply U.S. legal reasoning to complex, nuanced cases (hypothetical or real-world).
- Strong foundational knowledge across multiple areas of U.S. law, including contracts, torts, criminal law, constitutional law, corporate law, and civil procedure.
- Exceptional attention to detail, precision, and consistency in evaluating and annotating legal work.
- Excellent written communication skills for delivering clear, high-quality feedback.
- High ethical standards and the ability to handle sensitive legal information with confidentiality.
- Interest in AI and language models (LLMs) is a plus.
Engagement Details
- Commitment: Flexible engagement, minimum 10 hrs/week, up to 40 hrs/week.
- Type: Contractor (no medical/paid leave).
- Duration: 1 month with potential extensions based on performance and fit.
Remote working/work at home options are available for this role.
We put the unity in "opportunity."
Opportunity Snapshot:
- Compensation: $50/hour
- Location: Spring, TX
- Duration: 12 months+
- Work Schedule: 14/14 rotation - 12-hour shift - alternating days/nights
- Benefits: Comprehensive insurance, 401(k) program, PTO & Holidays and Company vehicle
Qualifications:
- Minimum 2-5 years of experience in gas compression, oil & gas operations, or industrial maintenance
- Familiarity with rotating equipment, instrumentation, and process controls
- Technical or vocational training preferred
- Certifications such as OSHA 10/30, H2S Awareness, First Aid/CPR, or DOT Operator Qualification (OQ) are a plus
- Strong mechanical aptitude and troubleshooting skills
- Ability to read P&IDs, schematics, and technical manuals
- Knowledge of HMI systems and control room operations is a plus
- Good verbal and written communication skills
- Rotating shift work, weekends, and holidays as needed
- Ability to work in varying weather conditions and remote locations
- Frequent lifting (up to 50 lbs.), climbing, bending, and standing for extended periods
- Ability to wear personal protective equipment (PPE) as require
- High School diploma or GED required
Responsibilities:
- Compressor Operator for Vapor Recovery Unit to oversee the safe and efficient operation of natural gas compression equipment
- Operate and monitor natural gas compressors, dehydration units, and associated equipment
- Adjust operating parameters to maintain optimal pressure, flow, and efficiency
- Conduct routine inspections and record equipment readings to detect irregularities
- Perform minor maintenance and assist with repairs on compressors, engines, and auxiliary systems
- Identify mechanical or process issues and escalate as necessary to maintenance personnel
- Assist in troubleshooting electrical, pneumatic, and hydraulic control systems
- Follow all company safety policies
- Maintain accurate logs of operating data, maintenance activities, and safety checks
- Report any equipment malfunctions, safety concerns, or operational deviations
- Utilize digital tools and systems for data entry and reporting
The Bergaila Way:
The Bergaila Companies is a nationally recognized leader in providing staffing services to all sectors of the energy industry. We continually focus on partnering with talented professionals, engineering the perfect fit between our clients and employees. Choosing a career path with Bergaila grants you immediate access to nationally recognized organizations we partner with. Bergaila consistently attracts and retains its Employees with our dedicated internal service team, top tier benefits programs for contractors and their families, and commitment to place you in the desired career of your choice.
Client Overview:
Our Client is a global international energy exploration and production company and one of the largest oil producers in the United States. Founded in 1920, our client’s technical expertise and proven ability to deliver lasting results are the hallmark of their international success. While manufacturing the building blocks for life-enhancing products, our client utilizes leading edge technologies that grow their business and simultaneously help to advance a lower-carbon world.
Remote working/work at home options are available for this role.
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
Remote working/work at home options are available for this role.
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
Remote working/work at home options are available for this role.
Corporate Environmental Manager
Work From Home (Remote) US
R26_0335
Full time
Who We Are
Johns Manville is a leading manufacturer and marketer of premium-quality insulation and commercial roofing, along with glass fibers and nonwovens for commercial, industrial and residential applications. Our products are used in a wide variety of industries including building products, aerospace, automotive and transportation, filtration, commercial interiors, waterproofing and wind energy.
A proud member of the Berkshire Hathaway family of companies, we serve customers in more than 80 countries around the globe. We are committed to delivering positive and powerful experiences, because we are successful only when our employees and customers thrive. We are passionate, we care about people, we perform at a superior level, and we protect others and our environments.
Pay Range
$128,600.00-$176,800.00 AnnualThis is the base salary pay range that an applicant can expect to make upon hire. Pay within this range will vary based upon relevant experience, skills, and education among other factors. In addition, this position is eligible for an incentive bonus.
The Corporate Environmental Manager will be responsible for ensuring JM manufacturing facilities are in compliance with applicable regulations, identifying and implementing programs that improve factory environmental performance, communicating environmental issues and progress at all levels in the company, and mentoring and developing factory environmental staff. This position is accountable, along with plant managers, for eliminating or reducing factory environmental violations, tracking factory performance metrics, renewing and amending environmental operating permits, leading the development of air pollution construction permits and implementing new programs to address emerging regulations.
Your Day to Day:
- Develop and implement environmental compliance systems and programs for JM's factory operations and employees
- Represent the company with state and federal agencies for air permitting and other issues as required
- Provide regulatory guidance for all environmental media to manufacturing facilities and ensure that compliance systems are adequate to track and document compliance status
- Review all major capital projects and provide environmental impact assessments
- Actively audit factory environmental performance for JM locations and ensure that audit findings are addressed and corrected where appropriate
- Provide regulatory guidance for all environmental media to manufacturing facilities and ensure that compliance systems are adequate to track and document compliance status
- Represent the company with state and federal agencies for air permitting and other issues as required
- Effectively communicate the environmental goals, objectives, performance expectations, and metrics throughout the organization
- Mentor, train, and develop JM factory environmental employees
- Develop and implement management systems to ensure seamless leadership for JM's business environmental activities
- May be required to perform other related duties as assigned
What You Bring to the Team:
- Bachelor's degree in environmental management, engineering or a related field or equivalent experience with a minimum of 8 years in implementing and managing environmental programs and initiatives
- Master's degree with a minimum of 6 years of experience preferred
- Significant knowledge of federal, state and local environmental laws and regulations relating to air, water, solid waste and hazardous waste management
- The ability to develop and implement environmental compliance systems and programs for JM's factory operations and employees
- Solid ability to develop, implement and lead group environmental management programs for the JM's businesses to ensure full compliance with regulations and company requirements
- Demonstrated ability to mentor, train, and develop JM factory environmental employees
- Develop and implement management systems to ensure seamless leadership for JM's business environmental activities
- Solid knowledge of emission inventory development
- Solid leadership skills
- Excellent interpersonal, verbal and written communication skills
- Ability to work both independently and in a diverse team environment
- Heavy travel required (Minimum 30%)
- May be required to lift, carry, push or pull up to and including 25 pounds
- Work environment is typical of an office setting
#LI-KL1 #LI-ONSITE #P #D
Please Keep in Mind
If you do not meet 100% of these requirements, we at JM still want to hear from you. So, if you are interested in the role, we encourage you to apply so we can learn how your skills and talents can contribute to our team.
Benefits
Johns Manville (JM) offers a wide range of benefits to employees. Some are subsidized by the company and others are fully employee-paid. Health benefits include a choice of comprehensive medical plans, a dental plan, vision plan, wellness program and critical illness insurance. JM sponsors a 401(k) plan which includes a sizeable company match. JM offers paid vacation and also provides paid sick and parental leave for eligible employees.
Additionally, Johns Manville provides basic life Insurance, short-term and long-term disability coverage, an employee assistance program, and business travel accident coverage. Supplemental life insurance and accidental death and dismemberment insurance are available as well. The company also offers a variety of tax saving accounts; health spending account, traditional flexible spending account, and a dependent care spending account. JM also offers a tuition reimbursement program for undergraduate and certain graduate programs.
Johns Manville supports employee growth with vast educational opportunities and a company-wide mentoring program. This program pairs employees and leaders to grow skills, build stronger internal networks and strengthen the company’s succession planning process. Johns Manville also offers soft and hard skills training facilitated by internal and external presenters. Our talent management team prioritizes the holistic growth of our workforce.
Diversity & Inclusion
Johns Manville believes diversity and inclusion in our workplace is critical for the long-term success of our company. We are committed to retaining, developing and attracting a diverse workforce that fosters an inclusive work environment in which all employees are treated with dignity and respect. This is the right thing to do for our employees, our company and our communities.
Incumbent must be physically able to perform essential job functions. Reasonable accommodations may be made to enable individuals with disabilities to perform essential job functions.
We are proud to be an Equal Opportunity/Affirmative Action employer. We maintain a drug-free workplace and perform pre-employment substance abuse testing.
About Us
Johns Manville is a proud member of the Berkshire Hathaway family of companies, serving customers in more than 80 countries, supplying innovative products to the construction, aerospace, automotive, filtration and energy industries. With a more than 160-year legacy, we understand that our story continues to grow only with the right people saying, thinking and doing the right things. Make your story our story.
Johns Manville believes diversity and inclusion in our workplace is critical for the long-term success of our company. We are committed to retaining, developing and attracting a diverse workforce that fosters an inclusive work environment in which all employees are treated with dignity and respect. This is the right thing to do for our employees, our company and our communities.
PI970a4a56ffa1-3631
Remote working/work at home options are available for this role.
RESPONSIBILITIES:
- Architect, design, and maintain scalable CI/CD pipelines using Azure/AWS DevSecOps.
- Build and optimize Docker-based microservices, images, and deployment pipelines.
- Lead deployments across Docker Swarm, Kubernetes/EKS, and multi-location environments.
- Develop infrastructure automation using Ansible, bash scripting, Terraform and Git-based workflow.
- Manage release pipelines using container registries, artifact feeds, template pipelines, and multi-stage workflows.
- Design multi-environment strategies for dev, QA, staging, and production deployment.
- Implement cloud-native services with AWS & Azure cloud platforms.
- Implement basic security practices, including IAM roles, secrets management, and access controls.
- Develop secure, modular, reusable build and release systems.
- Work closely with full-stack engineering teams (Angular, Java, Python , backend APIs, database engineers).
- Mentor junior DevOps engineers and lead DevOps roadmap decisions.
KNOWLEDGE REQUIREMENTS:
DevOps Expertise:
Azure DevOps pipelines, YAML templating, CI/CD strategy, Git branching models.
Containerization & Orchestration:
Docker images, Docker Compose, Docker Swarm, multi-node/multi-location deployments.
Cloud Technologies:
Azure deployments & infrastructure, AWS (IAM, Lambda, S3, CloudWatch).
Programming / Scripting Languages:
Python, Bash, Linux/Unix administration, awk, shell automation, groovy.
Infrastructure Automation:
Ansible playbooks, tasks/roles, inventory design, configuration management.
Distributed Deployment Architecture:
Multi-site replication, node selection by IP, dynamic service routing.
Database Stack Experience:
PostgreSQL, MySQL, MariaDB operations & migrations.
Observability & Logging:
CloudWatch monitoring, log collection, Prometheus, Grafana, reporting & metrics.
Version Control & Build Systems:
Azure Devops, Git, Git submodules, artifact storage, registry solutions, Secrets Management.
Nice to have AI knowledge/experience and willingness to learn.
EDUCATION & EXPERIENCE REQUIREMENTS
- BS degree in Electrical/Computer Engineering, Computer Science or related field. MS preferred.
- 7+ years experience in a software devops/development/test capacity with enterprise server, storage or networking products.
Remote working/work at home options are available for this role.
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:
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
- 5+ years of experience in data engineering within cloud environments
- Experience in people management preferred.
- Demonstrated hands-on experience with modern data platforms (Databricks preferred).
- Proficiency in Python, SQL, and data
transformation frameworks. - Experience designing and operationalizing
ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
CI/CD processes. - Solid understanding of data modeling,
structured/unstructured data patterns, and schema design. - Experience implementing governance and quality
controls: metadata, lineage, validation, stewardship workflows. - Working knowledge of cloud architecture, IAM,
networking, and security best practices. - Demonstrated ability to collaborate across
technical and business teams. - Exposure to AI/ML engineering concepts, feature
stores, model monitoring, or MLOps patterns. - 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
Apply NowShare Save JobRemote working/work at home options are available for this role.
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
Requirements:
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
PI7087748e2d7e-3631
Remote working/work at home options are available for this role.
Power Distribution and Make Ready Designer
Overhead Utility Pole Design • Joint-Use Engineering • NESC-Compliant Make-Ready Work
Location: Youngstown, OH / 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
Requirements:
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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Remote working/work at home options are available for this role.
Location/Division Specific Information – Austin, TX / USA - Remote
**This position supports hybrid work schedule depending on organization needs.**
How will you make an impact? –
Jabil is seeking a DCI Test Development Engineer who will directly contribute to the transformative growth within our Enterprise and Infrastructure division by applying unique and innovative approaches to solving problems within a large-scale software and data center infrastructure. The DCI Test Development Engineer plays a vital role in ensuring the quality and reliability of hardware products, contributing to the overall success of the manufacturing process and customer satisfaction. You will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and data center infrastructure spanning multiple customers and manufacturing regions. You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil’s world-class manufacturing environments.
What will you do?
- Test System Development: Design and develop test systems and procedures for manufacturing processes. This includes creating test plans, test cases, and test scripts to assess the functionality and performance of hardware.
- Develop and implement automated manufacturing test sequences in Python that interface with BMS and PLC hardware to validate the functional performance, communication protocols, and safety logic of liquid cooling equipment.
- Test Software Development: Create, validate, release, and maintain test software and scripts that automate the testing process. This software may include code for controlling test equipment, collecting and analyzing data, and generating test reports.
- Test Sustaining: Support and maintenance for the manufacturing server (L10) and rack (L11) level test software and infrastructure deployed at our production facilities, including the implementation of minor system configuration changes (new IPNs)
- Documentation: Maintain comprehensive documentation of test procedures, specifications, and Infrastructure
- Collaboration: Work closely with cross-functional teams, including hardware engineers, manufacturing engineers, controls engineer, and quality assurance personnel, to ensure alignment on testing requirements and quality standards
- Continuous Learning: Stay updated on the latest advancements in testing technologies, methodologies, and industry best practices to keep manufacturing processes competitive and up to date
- Definition and collaboration on overall test infrastructure and application architectures
How will you get here?
Education:
- BS degree in Electrical/Computer Engineering, Computer Science or related field is required
Experience:
- 5-8 years’ experience in a software manufacturing test development/sustaining with enterprise server, storage or networking products is required
- 10+ years of relevant experience in a software manufacturing test development/ sustaining with enterprise server, storage or networking products and some college coursework in lieu of a 4- yr. degree, will be considered
- Excellent verbal and written communication skills is required
Knowledge, Skills, Abilities:
- Expertise in the following programming/scripting languages: Python, Java, BASH. C, C++, experience a plus
- Linux development expertise with a solid understanding of its fundamentals: CentOS/Ubuntu
- Python for hardware automation, with a deep understanding of industrial communication protocols (Modbus, BACnet, or Ethernet/IP) and the ability to interpret P&IDs and electrical schematics for cooling systems; experience in designing physical test stations and sensor integration is highly preferred.
- Expertise in the creation and configuration (DHCP, PXE boot, nginx) of Virtual Machines (VMs) using VMWare
- Expertise with leading edge networking systems, hardware, software and protocols including but not limited to enterprise ethernet datacenter switching/routing L1, L2, and L3 (BGP, DHCP Relay, ECMP). Arista CloudVision is a plus
- Experience with code versioning tools (Git preferred)
- Strong knowledge of professional software engineering practices for the complete software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Ability to travel up to 10% globally as required
Remote working/work at home options are available for this role.
