Engineering Jobs in Long Beach Ca Remote

Position Summary:

Who we are: AGSE is a recognized leader in the design and manufacture of aerospace ground support equipment, serving the world’s top aerospace organizations. We are in the midst of a cultural transformation, moving from tribal knowledge and manual reactive processes to a data-driven, standardized, and continuously improving operation. This is your chance to join a team that is committed to real change, not just “checking the box” on Lean.

What You’ll Do: You will be an active partner in driving our transformation—building systems, not just projects. Your focus will be on embedding continuous improvement as a mindset at every level, not just as a set of tools. Your day-to-day will combine process analysis, hands-on problem solving, cross-functional coaching, and project execution, with a direct line to senior leadership.

You won’t just analyze; you’ll implement, teach, and sustain.

Responsibilities: Essential Duties:

· Lead Improvement Projects: Identify, plan, and execute high-impact Lean, Six Sigma, and digital transformation projects focused on operational bottlenecks (quality escapes, long prep times, inefficient assembly, etc.).

· Drive Standardization: Document tribal knowledge into robust SOPs and work instructions; pilot and roll out digital work instruction tools and visual management boards.

· Coach & Train: Deliver hands-on Lean/CI training for operators, leads, and supervisors, focusing on practical skills (problem solving, process mapping, visual management, mistake-proofing, etc.).

· Data-Driven Action: Design meaningful KPIs, collect and analyze shopfloor data (scrap, rework, cycle times, downtime, OTD, etc.), and implement root cause analysis and countermeasures.

· Champion Digital Tools: Work with AI, automation, and analytics tools (Power Automate, ERP integrations, Excel, Power BI) to move the factory toward a paperless, digitally enabled environment.

· Facilitate Change: Run kaizen events, lead daily/weekly Gemba walks, facilitate feedback loops, and support the development of a true continuous improvement culture.

· Collaborate Across Functions: Partner with Quality, Engineering, Production, and Supply Chain to drive cross-functional initiatives and standardize processes.

· Tackle Real Problems: Address recurring issues like final inspection escapes, part marking accuracy, FOD/scratches, material flow, and inefficiencies in manual-heavy processes.

· Measure and Report Savings: Continuous improvement impacts in terms of dollars saved, hours reduced, and risk mitigated; report out to leadership and stakeholders.

Work Location: Santa Fe Springs, CA. 100% Onsite work. No remote nor hybrid availability for this role.

Expertise: Knowledge & Skills:

· 3+ years of hands-on experience in a Lean/Continuous Improvement, manufacturing, or operations engineering role.

· Strong working knowledge of Lean Manufacturing (5S, Value Stream Mapping, SMED, Poka-Yoke, Visual Management), Six Sigma (DMAIC, root cause analysis), and process mapping.

· Track record of driving real improvements, measurable cost savings, cycle time reductions, quality improvements.

· Experience creating and implementing Standard Work, SOPs, and operator-level training.

· Familiarity or experience with digital tools for shop floor (Power BI, Excel, Power Automate, digital checklists, etc.).

· Excellent communication, coaching, and facilitation skills; able to work at all levels from shop floor to leadership.

· Highly self-motivated, able to work with minimal supervision, and thrives in a dynamic, hands-on environment.

· Certification in Lean, Six Sigma (Green/Black Belt), or equivalent experience is highly preferred.

Nice to Have

· Experience supporting or leading ERP transitions (Epicor, Global Shop, etc.).

· Exposure to AI, automation, or advanced manufacturing technologies.

· Background in aerospace, heavy fabrication, or complex assembly environments.

· Experience implementing digital work instruction systems or MES.

· Knowledge of ISO 9001/AS9100 QMS requirements.

Required:

· Bachelor’s degree in: Bachelor’s degree in Industrial, Manufacturing, Mechanical Engineering or related technical field.

· Manufacturing engineering experience a must

· Six Sigma Black Belt, Lean, Quality, or other related certification preferred.

· Onsite role. No hybrid nor remote work available for this role

· Ability to work non-standard schedule as needed.

Physical Demands:

While performing the duties of this job, the employee is regularly required to sit and talk or listen. The employee frequently is required to use hands to handle or feel and reach with hands and arms. The employee is occasionally required to stand and walk. The employee must occasionally lift and/or move up to 25 pounds.

Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job.

• Noise Intensity: Moderate
• Occasionally: Office environment, Production/manufacturing environment, Warehouse environment

Pay Range: $90,000 - $120,000 plus a discretionary bonus.

While a Company bonus is not guaranteed, this position’s maximum bonus percentage range can be up to 10% of base salary.

Company bonuses are not guaranteed and are based on your performance, the department’s performance and/or the Company’s financial results.

AGSE is required by law in certain jurisdictions to include a pay scale in the job posting for this position. "Pay scale" means the salary or hourly range that AGSE reasonably expects to pay for this position; it is neither a promise nor a guarantee of the compensation that the successful candidate will receive. The pay scale for this position considers the wide range of factors that AGSE considers in making compensation decisions, including, without limitation: skill set, experience, and training, licensure and certifications, and other business and organizational needs. Please note that it is not typical for AGSE employees to be at or near the top of the pay scale for their role - especially as a new hire - and compensation decisions are dependent on the facts and circumstances of each case.

Job Type: Full-time

Pay: $90,000.00 - $120,000.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Life insurance
• Paid time off
• Referral program
• Tuition reimbursement
• Vision insurance

Work Location: In person

Northrop Grumman Aeronautics Systems has an opening for a Sr Principal Engineer Air Breathing Propulsion to join our team of qualified, diverse individuals. This position will be located in Redondo Beach, CA.

As an engineer supporting the Air Breathing Propulsion section, the selected candidate will support the design and analysis needs of unclassified and classified programs in Redondo Beach, California.  Candidate will interface with customers to define study areas and report status on current programs and technology development efforts.  Candidate may interface with their management and technical teams to define business relationships and technology initiatives for both IRAD (Internal Research and Development) and CRAD (Contractual Research and Development) efforts.  This position will support a variety of programs performing analysis and integration activities.

Essential Functions:

• Lead engine performance and cycle analysis and provide guidance to programs
• Lead subsonic and supersonic inlet and exhaust design and integration
• Perform project planning to determine program requirements and develop plans for program execution
• Interface with external engine suppliers and manage external engine supplier activities
• Interface with internal and external customers, assisting in defining system requirements, defining study areas, and providing status on current programs and technology
• Develop and present materials for internal and external program related briefings
• Support new business generation and prepare proposal material
• Strong verbal and communication skills to interact with key cross-discipline stakeholders to achieve program objectives in a timely manner
• Technical and ICD writing
• Task planning, conducting technical peer reviews, and mentoring junior engineers
• Apply and contribute to the development of advanced technical principles, theories, and concepts.
• Work on complex technical problems and provide solutions which are highly innovative
• Collaborate and execute on long-range goals and objectives.
• Develop advanced technological ideas and guide development into a final product.

Basic Qualifications for a Sr Principal Engineer:

• Bachelor's degree in a STEM discipline (Science, Technology, Engineering or Math) with 12 years of related engineering experience; OR a Master’s degree in STEM with 10 years of related engineering experience; OR a PhD in STEM with 8 years of related engineering experience.
• Air Breathing Propulsion knowledge and experience on aircraft (subsonic, supersonic or hypersonic) or missile systems.
• Ability and willingness to travel 25% of the time.
• Must have an active DoD Secret (or higher) clearance (with a background investigation within the past 6 years or enrolled into Continuous Education).
• Must have the ability to obtain and maintain Special Access Program (SAP) clearance.

Preferred Qualifications:

• Ten plus (10+) years of experience with Aeronautical Air Breathing Propulsion and Flight Sciences engineering disciplines.
• Experience with survivable propulsion systems
• Experience in technical leadership and guidance of junior Air Breathing Propulsion engineers.
• Experience in Air Breathing Propulsion processes and products throughout the program life cycle.
• Experience in hypersonic design and analysis
• Demonstrated ability to lead an engineering cross-functional team.
• Experience with Agile design teams and tools(Atlassian)
• Understanding of Systems Engineering Principles and Model Based Systems Engineering tools (MBSE) with a practical focus for relevant use cases in propulsion integration.
• Experience with PLM software (Teamcenter)
• Serve as organization spokesperson on advanced projects and/or programs. Act as advisor to management and customers on advanced technical research studies and applications.
• A current active in-scope U.S. Government DoD Top Secret clearance with current or previous Special Program Access (SAP/PAR).

• Leading the Naval network warfare missions in developing tactics and procedures to realize tactical, strategic and business advantages afloat and ashore
• Driving interoperability with joint, allied and coalition partners
• Building professional excellence through education, training and certification and milestone qualifications
• Optimizing organizational effectiveness through cutting-edge technologies, knowledge management techniques and a culture of innovation
• Helping to develop and deploy information systems, command and control and space systems
• Serving as a key part of the Information Dominance Corps in its mission to gain a deep understanding of the inner workings of adversaries
• Overseeing the work of Information Systems Technicians - Enlisted Sailors (no degree required) who serve as specialists in information technology

• Serving as part of Battle Group staffs on ships at sea
• Working in C4I/Space/Surveillance on shore tours
• Serving on major Navy and joint staffs
• Serving in command of key communication and surveillance facilities around the globe

• Pursuing opportunities at institutions such as Naval Postgraduate School (NPS) or Navy War College (NWC)
• Completing Joint Professional Military Education (JPME) at one of the various service colleges

• Pursuing opportunities at institutions such as Naval Postgraduate School (NPS) or Navy War College (NWC)
• Completing Joint Professional Military Education (JPME) at one of the various service colleges

We’re seeking an experienced Sales Support Representative to partner with sales, technical, and procurement teams in a fast‑paced IT services environment. This role is ideal for someone who thrives on organization, cross‑functional collaboration, and supporting revenue growth across technology, telecom, network, and infrastructure solutions.

What You’ll Do

• Support the end‑to‑end sales lifecycle, including RFP/RFQ coordination, pipeline tracking, and order fulfillment
• Partner closely with sales, engineering, finance, and vendors to ensure accurate, timely delivery of IT solutions
• Maintain and organize sales documentation, pricing, contracts, and proposals
• Enable pipeline generation through strong administrative support and process execution

What You Bring

• 5+ years of administrative experience supporting sales, marketing, or procurement teams
• Hands‑on experience with RFPs/RFQs and sales pipelines in an IT services or technology solutions environment
• Strong understanding of telecom, network, or infrastructure services
• Exceptional organizational and communication skills, with proven success working across cross‑functional teams

Why This Role

• High‑impact position supporting complex IT solutions
• Exposure to enterprise‑level technology deals
• Collaborative, team‑oriented environment where your support directly drives sales success

Job Type & Location

This is a Contract to Hire position based out of Torrance, CA.

The pay range for this position is $30.00 - $35.00/hr.

Eligibility requirements apply to some benefits and may depend on your job
classification and length of employment. Benefits are subject to change and may be
subject to specific elections, plan, or program terms. If eligible, the benefits
available for this temporary role may include the following:

• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

This is a fully onsite position in Torrance,CA.

This position is anticipated to close on Mar 20, 2026.

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at .

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

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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