Engineering Jobs in Sc Remote

Must Haves:

• 3+ years in Quality Assurance in manufacturing/production/assembly
• Experience working in automotive, semiconductor, electronics, or highly automated environments
• 2+ years in a supervisor role
• Experience working with Lean Manufacturing/JIT, Six Sigma methodologies and Total Quality fundamentals

Plusses:

• Certifications (UL1703, IEC 61215, IEC61730-1, IEC61730- 2, Green Belt, etc)
• Experience with solar modules

Job Description:

The Quality Supervisor is responsible for overseeing and ensuring the implementation of quality control measures and standards within the organization. You will play a crucial role in maintaining and improving the quality of products, processes, and services. Your attention to detail, analytical skills, and leadership abilities will contribute to the overall success of the company's quality management efforts.

Responsibilities:

• Manage daily performance of QC staff
• Responsible for leading, motivating, and training QC personnel to meet or exceed department and company goals and objectives
• Lead or assist in Quality department projects as assigned by Management and assist Engineering and Manufacturing with projects, as appropriate
• Investigate root cause of customer complaints and initiate/complete corrective action, as appropriate
• Propose, promote and champion actions to improve quality, processes and product
• Eliminate process variation and product defects through creative solutions
• Maintain ISO based quality systems
• Implement and manage systems to complete statistical analyses and control of all products including raw materials, WIP materials, non-conforming products, and finished goods
• Ensure customer requirements are met
• Devise ways to reduce waste and increase efficiency
• Actively drive Lean Manufacturing initiatives using all available tools and technologies
• Maintain professional and technical knowledge by attending educational workshops, reviewing professional publications, establishing personal networks, and participating in professional societies
• Participate in internal and external audits
• Develop and present KPI reports

Position: Manufacturing Process Engineer

Location: Goose Creek, SC

Length: Full time

Rate: $85,000-$110,000/yr

(Exact compensation may vary based on several factors, including skills, experience, and education)

Insight Global is seeking a Manufacturing Process Engineer to support the Maintenance and Reliability function at a large manufacturing facility. This role focuses on improving equipment reliability, maintenance processes, and overall operational performance. The Process Engineer will work closely with high-performing, self-directed teams to resolve technical issues, support continuous improvement initiatives, and ensure maintenance operations are safe, efficient, and well-resourced.

This role also contributes to building Maintenance and Reliability team capabilities through data analysis, reporting, and information flow, while participating in strategic planning, goal setting, and reliability-focused initiatives. Strong communication and organizational skills are essential to support maintenance standards and a zero-incident safety culture.

Key Responsibilities

• Promote and manage safety while improving maintenance performance and reliability.
• Serve as a process expert and continuous improvement leader for maintenance and reliability efforts.
• Lead improvement projects focused on equipment reliability, cost reduction, resource utilization, and cycle-time reduction using Lean and Six Sigma tools.
• Analyze maintenance performance gaps using statistical and data-driven methods.
• Support the development of high-performing, self-directed maintenance teams.
• Ensure effective use of standard work, control plans, and reliability tools to drive process stability.
• Monitor maintenance KPIs related to safety, quality, productivity, and reliability.
• Support TPM activities, maintenance planning, outage coordination, and execution improvements.

Qualifications

• Bachelor’s degree in Mechanical, Chemical, Electrical, Metallurgical, or Materials Engineering.
• Strong written and verbal communication skills.
• Excellent organizational and time-management abilities.
• Ability to lead cross-functional teams and drive continuous improvement.
• Experience creating or updating process documentation (Control Plans, FMEAs, JSAs, Standard Work).
• Proficiency in Microsoft Office; MS Project experience preferred.
• Familiarity with maintenance and reliability principles.
• Demonstrated commitment to safety, teamwork, and continuous improvement.

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.

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.

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

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

This 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.

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.

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