1404 Systems Integration Engineer jobs in Portland,OR

$94,700 - 110,000 per year

Competitive Pay

Paid Time Off

401K with Employer Match and Profit Sharing

Health and Wellness Benefits

Learning and Development Opportunities

Referral Program

Recognition

Employee Stock Purchase Plan

3-5+ years in manufacturing test, electrical validation, or automation engineering within a production environment.

Hands-on experience building and troubleshooting test equipment, including wiring, harnessing, electrical panels, and instrumentation.

Familiarity with PLC/HMI systems and industrial robots from a hardware integration perspective (no advanced programming required).

Strong ability to read/author electrical schematics, create wiring diagrams and fixture documentation; practical knowledge of ESD, electrical safety, and machine guarding principles.

Proficiency with MS Word, Excel, PowerPoint and version control/documentation practices.

This position may require exposure to export-controlled information and subject to additional security screening.

A Bachelor's degree ideally in Electrical, Manufacturing, Industrial, or related Engineering field

Exposure to LabVIEW/NI platforms is a plus (ability to assist with I/O mapping or minor edits), but not required.

$113,000 - 128,000

Discretionary bonus

Medical

RX

Dental

Vision

Life

AD &D;

LTD

STD

EAP

Tuition Reimbursement

FSA (Medical, Childcare, Transportation)

10 paid holidays

PTO

401(k)

More than 8-hour shifts

Weekend work

PC skills required, including engineering computer equipment and software (analysis, design, CAD/CAM and data programs).

Knowledge of MS Windows, Advanced Excel, Word, Auto-CAD.

Ability to read and comprehend work specifications, work orders, blueprints, contracts and technical publications.

Demonstrated understanding and experience deploying Lean, Six Sigma or other Continuous Improvement methodologies.

Knowledge of working carbon and stainless steels, aluminum, Titanium and hard materials

Knowledge of welding processes and metallurgy

Working knowledge of Materials Requirement Planning System; lean manufacturing process and continuous improvement tools.

Degree in manufacturing or mechanical engineering or related engineering field is required.

Minimum 5-10 years of experience in a similar production industry is required.

He/she must be able to walk to and from job sites.

The person must be able to climb inclined stairways and vertical ladders.

The incumbent may be required to lift up to 20 pounds.

This role is with a federally contracted employer and is subject to regulations that restrict employment to US Persons only (i.e. US Citizens, lawful permanent residents, legally recognized asylees and refugees, and persons protected under INA).

Successful job candidates will be asked to provide documentation of their US Persons status.

Prospective employees must pass a drug and alcohol test and background check as pre-employment screening.

Green belt or higher in Lean/Six Sigma preferred.

U.S. citizenship is required for this contract position

Bachelor's degree in Mechanical Engineering, Mechanical Engineering Technology, Construction Management, or a related technical field. * 5 years of relevant mechanical, marine, manufacturing, or government experience may be substituted for a bachelor's degree.

Ability to obtain an Oregon Boater's certification/card

Experience supporting small and large, multi-faceted marine or industrial projects

Experience with mechanical inspection, quality control, testing, troubleshooting, and documentation

Ability to read and interpret complex mechanical drawings, piping diagrams, equipment layouts, technical specifications, contracts, and 3D models.

Knowledge of applicable mechanical codes, marine requirements, customer specifications, military requirements, and industry standards as applicable to contract requirements

Understanding of dimensional inspection equipment, torque tools, pressure-test equipment, and proper calibration/traceability practices

Ability to work effectively under tight deadlines and changing production schedules

Ability to function in a marine manufacturing environment, including standing, walking, sitting, climbing, stooping, kneeling, crouching, and squatting for extended periods as necessary

Ability to access confined and tight spaces within vessel structures for inspection and testing

Ability to safely access elevated areas, ladders, platforms, and vessel structures as required

Ability to work around active production, mechanical systems, machinery, welding operations, tools, and other industrial hazards while following all company safety requirements

Ability to participate in vessel inspections, testing, dock trials, builder trials, underway testing, and customer acceptance activities

Valid Driver's License

The ability to obtain a passport if one is not currently held

Minimum of 7 years of combined mechanical fabrication, installation, inspection, management, production, testing, or operational experience, preferably in the marine manufacturing industry

$130,000 - $185,000 base salary per year in the state of WA. New hires should expect to start at the lower end of the range depending on experience

Eligible for a discretionary bonus based on firm and individual performance

Our learning and development framework customized for every employee

100% paid medical, dental and vision premiums for you and your qualifying dependents

A 50% 401(k) match, up to the IRS maximum

20 days of PTO, plus 10 paid holidays

Minimum of 6+ years of experience building data‑driven software solutions

Minimum of 3+ years of hands-on AI development experience.

Proficiency in Python, with practical experience building applications using LLMs, embeddings, vector databases, and RAG architecture.

Demonstrated experience with generative AI models, including multimodal models.

Hands-on experience developing and deploying AI applications using Azure Foundry, Docker, Kubernetes, and GPU-backed compute.

Bachelor's degree in computer science, Artificial Intelligence, or a related field, or equivalent professional experience

Experience fine-tuning, evaluating, and deploying models using Azure-managed AI services and compute resources

Familiarity with agent frameworks and experience deploying AI agents with tool integration, appropriate permissions, and operational safeguards

Experience building graph-enhanced RAG and hybrid retrieval solutions using graph databases such as Neo4j, Stardog, or Azure Cosmos DB for Apache Gremlin

Experience deploying models with low latency and high throughput, using frameworks like vLLM and other GPU model deployment tools

Hands-on experience building CI/CD pipelines and automated testing workflows for generative AI application

Experience with distributed training, GPU optimization, and large-scale model frameworks (CUDA, RAPIDS)