Engineering Journal Jobs in Nebraska Remote

Project Manager – DOT Heavy Highway (White Paving Experience)

Location: Nebraska

Join WW Clyde – Where You Work Matters

At WW Clyde, we build more than infrastructure—we build careers. For over 90 years, we’ve delivered challenging heavy civil projects across the Intermountain West. Our reputation for safety, innovation, and quality is driven by our people. We invest in your growth, empower you with the latest technology, and provide clear pathways for advancement. If you’re passionate about leading DOT highway projects—especially white paving—and ready to make an impact, WW Clyde is the place for you.

Job Summary

As a Project Manager – DOT Heavy Highway, you will lead the planning, execution, and closeout of Colorado transportation projects with a strong emphasis on white paving and heavy highway elements. You will ensure projects stay on schedule, within budget, and meet the highest quality and safety standards. You’ll also cultivate client relationships and pursue new business opportunities in the region.

Key Responsibilities

• Analyze drawings, specifications, and proposals to develop accurate estimates for time, materials, equipment, labor, and production.
• Establish project objectives, policies, procedures, and performance standards in line with WW Clyde’s project management guide.
• Oversee on‑site Superintendents to ensure work is built safely, on schedule, and within budget.
• Manage contract financials, including fee payments, equipment rentals, income/expenses, and profit margins.
• Review QC/QA reports (crusher, hot‑plant, materials) and collaborate with quality teams to optimize production.
• Coordinate with clients, DOT representatives, vendors, and subcontractors to resolve issues and maintain strong relationships.
• Identify project risks and implement corrective actions promptly.
• Ensure compliance with all safety, environmental, and DOT regulations.
• Assist in developing new business opportunities and participate in client meetings and labor strategy sessions.

Qualifications

• 5+ years of progressive heavy highway construction project management experience, including DOT and white paving contracts.
• Proven track record with Federal Contracts and DOT specifications.
• Strong estimating and pit exploration experience in collaboration with Area Managers.
• In‑depth knowledge of asphalt paving techniques, white topping, and materials specifications (State and Federal).
• Excellent communication, leadership, and organizational skills.
• Proficiency in Microsoft Word, Excel, Outlook, and construction management software.
• Bachelor’s degree in Civil Engineering, Construction Management, or equivalent experience preferred.
• Willingness to travel to remote job sites throughout Colorado and surrounding areas.

*As part of our hiring process, all candidates are subject to a comprehensive background check. Please note that our company maintains a strict policy regarding certain convictions. Applicants with a DUI or felony conviction may not meet eligibility requirements for employment in this position. Offer/ Start Date is also contigent upon a successful preemployment drug screen.*

Why Work for WW Clyde?

• Competitive Compensation & Benefits: Health, dental, vision, life insurance, 6% 401(k) match, profit sharing, paid holidays, and PTO.
• Performance-Based Bonus: Rewarding your dedication and project success.
• Truck & Fuel Card: Company‑provided or allowance option per policy.
• Career Development: Ongoing training, mentorship, and clear advancement paths.
• Stable, Respected Employer: Join a century‑strong leader in heavy civil construction.

Posting Closes: Open until filled

W.W. Clyde and Co. is an Equal Employment Opportunity/Affirmative Action Employer.

Job Type: Full-time

Great opportunity for a Director of Advanced Manufacturing Engineering to work for a North American industry leader located 1 hour outside of Omaha, NE

Our client is looking for a Director of Advanced Manufacturing Engineering to be responsible for leading the design and development of equipment and processes to optimize manufacturing operations to support manufacturing growth.

Responsibilities

• Manage and lead the Advanced Manufacturing Engineering Team to improve manufacturing methods and processes for maximum throughput, efficiency, and quality.
• Perform Make/Buy decisions on key components going through the manufacturing process.
• New Product Development implementations from Engineering through manufacturing.
• ECN Implementation and disposition.
• Develop the organizational structure of the Advanced Manufacturing Engineering department to better utilize resources to achieve goals.

Qualifications

• Bachelor's degree in Mechanical Engineering or related discipline.
• 10+ years experience within Advanced Manufacturing
• 4+ years of Engineering Management

Job Description:

As a Senior Electrical Engineer based in Omaha, you will be responsible for overseeing electrical engineering projects and providing technical expertise to ensure successful project completion on a mission critical project. You will work closely with clients, contractors, and other team members to deliver high-quality electrical designs and solutions.

Responsibilities:

• Actively supports and promotes the company's safety and quality culture, demonstrating a strong commitment to an injury-free environment.
• Performs entry-level mechanical, electrical, and field construction activities in support of project execution.
• Assists in developing budgetary MEP estimates using program and schematic design documents and automated estimating systems.
• Supports preconstruction efforts by evaluating mechanical and electrical options, contributing to systems analysis, and helping define scopes of work for bidding.
• Participates in bid analysis and subcontractor selection, providing input on scope, sequencing, and schedule alignment.
• Reviews design documents to identify constructability and quality concerns and contributes to inspection and reporting efforts.
• Assists with shop drawings, submittals, and commissioning activities, including pre-functional checklists and functional testing.
• Promotes a culture of diversity, inclusion, and non-discrimination across all project and organizational activities.

Required Skills and Experience:

• Bachelor's degree in Electrical Engineering or related field
• Minimum of 5 years of experience in electrical engineering
• Professional Engineer (PE) license preferred
• Strong knowledge of electrical design principles and codes
• Experience with AutoCAD, Revit, and other design software
• Excellent communication and teamwork skills
• Ability to manage multiple projects simultaneously
• Experience working in the construction industry is a plus

Job Title : Nuclear Engineer (Naval Reactors Engineer) Category / Component : Officer • Active Overview Design, regulate, and oversee the Navy's nuclear propulsion program, including reactor design, fleet operations, and eventual defueling and decommissioning of nuclear powered ships and submarines from Naval Reactors Headquarters and associated Department of Energy laboratories and shipyards.

Key Responsibilities Provide technical direction in areas such as reactor and fluid systems design, reactor physics, materials development, component design for steam generators, pumps, and valves, instrumentation and control for reactor and propulsion plants, testing and quality control, radiation shielding, and chemistry and radiological controls; review designs and analyses from laboratories, shipyards, and industry partners; coordinate with fleet units to ensure safe and reliable nuclear plant operation.

What to Expect Assume significant technical responsibility early in your career as part of a lean headquarters staff; work primarily in an analytical and oversight role rather than operating plants at sea; balance long term engineering projects with time sensitive fleet and shipyard issues; frequent coordination with senior civilian engineers, naval officers, and technical teams; high expectations for attention to detail, judgment, and written and oral communication.

Work Environment Work mainly at Naval Reactors Headquarters in the Washington, District of Columbia area with regular engagement with Department of Energy laboratories, nuclear training sites, shipyards, and nuclear powered ships and submarines; office based work that includes document reviews, technical meetings, inspections, and site visits rather than day to day shipboard watchstanding.

Pathways, Training & Advancement Officer commissioning through programs such as Officer Candidate School or the Nuclear Propulsion Officer Candidate program followed by a structured technical qualification program at Naval Reactors; rotational exposure to laboratories, prototypes, shipyards, and fleet support issues; progressive responsibility leading projects and becoming a subject matter expert, with opportunities for professional military education and advanced graduate study in technical fields.

Entry through the Nuclear Propulsion Officer Candidate program for qualified college students and recent graduates, or selection via Officer Candidate School for those who already hold qualifying degrees; all applicants must meet Nuclear Propulsion Program academic and technical screening standards in addition to general officer commissioning requirements.

Qualifications All Navy jobs require meeting general enlistment or commissioning standards, which typically include: Eligibility to serve in the United States Navy, which may involve United States citizenship or other legal residency and work status, depending on the program and current law and policy A high school diploma or equivalent for enlisted positions, and a bachelor's or qualifying professional degree for officer positions Meeting age limits that vary by program and are set in law and Navy policy.

Some communities have more restrictive age ranges Meeting medical, vision, and dental standards, including body composition and physical fitness requirements, with some jobs requiring more demanding standards Meeting character and conduct standards, including background screening Achieving required test scores for your program, such as the Armed Services Vocational Aptitude Battery for enlisted roles or officer qualification tests for officer programs Eligibility for a security clearance when required for your rating or designator Additional qualifications can include specific skills, education, licensure, or experience that are unique to a job or community and will be reviewed with you by a recruiter.

Additional qualifications for this job may include: Completion of a rigorous technical degree in engineering, physics, mathematics, or a closely related field that includes strong backgrounds in calculus and physics; outstanding academic record, particularly in technical coursework; United States citizenship and eligibility for a high level security clearance; strong technical aptitude and comfort with detailed analytical work.

Education Education benefits are available through standard Navy programs such as Tuition Assistance, the Post-9/11 GI Bill, ACE-recommended college credit for Navy training, Navy COOL-funded certifications, USMAP apprenticeships, and other Navy College Program opportunities.

Specific options depend on the Sailor's status, training, and current Navy policy.

Pay, Benefits & Service Pay, benefits, and service commitments follow standard Navy Active and/or Reserve policies for this type of role, including basic pay, allowances when eligible, health coverage, and retirement options.

Exact entitlements, special pays, and service obligations depend on program, component, years of service, and current law and Navy guidance.

Incentives Incentives such as bonuses, special pays, and loan repayment may be available at times for specific ratings or communities, but they change frequently and cannot be guaranteed.

Applicants must confirm current incentives and eligibility with an official Navy recruiter or authoritative Navy source.

Notes and Disclaimers This description is a general overview of typical duties, training, and opportunities in this community.

It does not replace official Navy instructions, policies, or contracts and does not guarantee specific assignments, training, incentives, or outcomes.

Actual opportunities depend on Navy needs, individual performance, screening results, and current law and policy.

• Preferred three to five (3 to 5) years of experience in implementing and managing Windows and Open Systems server infrastructure hybrid cloud solutions in an enterprise environment; healthcare experience preferred.
• Highly experienced information systems professional with a strong technical background and proven track record of accomplishments in a large, complex multi-level organization .
• Strong technical knowledge of VMWare ESX and Microsoft Hyper-V.
• Expertise in Microsoft Windows, Linux and AIX operating systems and management.
• Familiar with hyperconverged infrastructures such as VxRail.
• Familiar with Microsoft Azure Arc, System Center, Admin Center and SCCM.
• Familiar with cloud platforms (e.g., AWS, Azure, Google Cloud).
• Experience in infrastructure-as-code (e.g., Terraform, CloudFormation) and containerization (e.g., Docker, Kubernetes).
• Experience in scripting (PowerShell, Python, Bash, etc.)
• Familiar with application delivery solutions such as Citrix.
• Experience with storage and data protection replication methodologies.
• Experience with Epic Infrastructure such as Hyperspace.
• Experience with ITSM functionalities such as change control, CMDB and ticketing systems.
• Strong knowledge of healthcare information systems (e.g., Epic, Cerner), cybersecurity and clinical operations.
• Prior experience delivering high availability systems in a 24/7 environment across geographically dispersed business units.
• Demonstrated ability to facilitate evaluation of technologies and achieve consensus on technical standards and solutions among a diverse group of information technology professionals.
• Demonstrated commitment to customer service who has provided responsive and effective support, developed solid working relationships with customers, and delivered high quality, value-added services that met/exceeded customer expectations.
• Equally adept at developing technology strategies and the operation of existing technical infrastructures. Significant experience and knowledge of computing architecture and implementation of networked computing structures.
• Polished professional with demonstrated information technology experience and strong communication skills that can rapidly gain and maintain credibility with customers and IT colleagues.
  
  

• Bachelor’s degree in Information Technology, Computer Science, Healthcare Administration or related field strongly desired or an equivalent combination of education and experience.
  
  

• Preferred certifications include Microsoft Certified: Azure Fundamentals, VCP-DCV, ECSA.
  
  

• Responsible for installation and maintenance of server infrastructure along with upgrading/configuration and the life cycle management of hardware.
• Monitors functions of server infrastructure to ensure acceptable performance.
• Creates and maintains documentation related to server configuration and environments.
• Serves as subject matter expert across server operating systems and solutions (Microsoft Windows Server, Linux, AIX, VMWare ESX, Microsoft Hyper-V)
• Troubleshoots and resolves server and virtualization incidents.
• Maintain server patching to address security vulnerabilities.
• Collaborate with cloud compute architect to design and build functional server environments.
• Provide level 2 escalation support and troubleshooting to resolve complex server incidents and tasks.
• Stay current on cloud and systems engineering trends (e.g., serverless computing, containerization, AI-driven automation) and evaluate their potential to enhance TGC operations.
• Ensure systems, applications and data are high availability, backed up and/or replicated to meet disaster and business recovery requirements.
• Implement and enforce security requirements to protect Azure-based systems and data.
• Anticipates and provides solutions for complex problems and issues, recommends upgrades and enhancements. Rapidly absorbs complex technical and conceptual information to identify issues and implications. Able to present understandable alternatives to both technical and non-technical individuals at all levels of the organization.
• Monitors industry trends, maintains knowledge of developments in cloud computing, database, storage, data protection, virtualization, hyperconverged infrastructure, server automation, monitoring and application delivery.
• Promotes the use of TGC’s PMO methodology and standards to manage IT initiatives.
• Demonstrates commitment to customer service by providing responsive and effective support, developing solid working relationships with customers and IT colleagues, and delivering high quality, value-added services that exceed customer expectations.
• Demonstrates a commitment to excellence in Customer Service with all internal and external customers of TGC.
• Performs related duties as assigned and unrelated duties as requested.
  
  

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

Readily Available Interim Customer Support Lead | VC-Backed B2B Healthtech SaaS | Boston (Hybrid)

The Client

This client is an AI-powered healthtech startup born out of a multi-year collaboration between leading academic medical centers and top-tier engineering institutions in Europe. This business has developed patented algorithms and a proprietary clinical database to help practitioners improve ultrasound screening accuracy, reduce diagnostic errors, and optimize care pathways for expectant mothers. With a clear mission to expand access to high-quality women's and children's health outcomes through technology, they are now scaling rapidly across the United States; partnering with major clinical networks and onboarding new health system clients at an accelerating pace.

The Role

This is an opportunity to own and build a support function at a company experiencing hypergrowth in the US market. Reporting to the Director of Operations, this role is for someone who sees a blank slate as an opportunity. The customer base is scaling rapidly and this position will be responsible for building the support function that grows with it. The right candidate will be hands-on, close to the product and customers before building out the systems, tooling, and team capable of sustaining growth without compromising the experience

Responsibilities

• Handle tickets and calls directly to build deep product knowledge and earn customer trust
• Design and implement the core support ticket infrastructure: SLAs, escalation paths, and cross-functional workflows with Engineering and Product
• Optimize the CRM/ticketing environment (automations, reporting, routing) and build out a self-serve knowledge base including FAQs and troubleshooting guides
• Serve as the voice of the customer, translating support patterns and user feedback into actionable product insights
• Define and track key operational KPIs and build automations to drive ongoing efficiency
• Champion team autonomy and maintain quality standards throughout a period of significant scale

What We Need to See (Essential)

• 3-5 years of B2B SaaS experience in Technical Support, Customer Support, or Operations
• Experience in implementing modern support/ticketing platforms (e.g. Zendesk, Pylon or similar)
• Proficiency in maintaining & utilizing ticketing CRMs
• Demonstrated ability to thrive in hypergrowth environments and build processes from zero
• Comfort working across time zones (specifically West Coast)
• Genuine alignment with the company's mission in women's and children's health

What We’d Like to See (Bonus)

• Experience in a healthcare or regulated SaaS environment
• Familiarity with building or scaling a support function at a Series A-C stage company
• Experience with CRM automation and reporting

Location: Hybrid

Package: $60-80 per hour

Duration: 4 months

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