Title: Senior Quality Engineer Job Description: Job Title: Quality Engineer Location: Everett, WA, with a hybrid schedule of 3 days in the office (Tuesday, Wednesday, Thursday) and 2 days remote (Monday, Friday). - Candidates must be local to greater Seattle area due to in office requirements. No relocation assistance provided. Overview The Quality Engineer ensures product quality, reliability, and compliance across the full product lifecycle. This role requires strong analytical skills, technical expertise in electronics and mechanical systems, and the ability to drive quality initiatives across cross-functional teams. You will lead quality planning, risk management, validation activities, and continuous improvement to meet customer and industry standards. Key Responsibilities - Lead product lifecycle quality planning from concept through production launch - Own Design for Quality activities, including DFMEA and design control deliverables - Drive risk management, control plans, and traceability from requirements to validation - Define acceptance criteria, test strategies, and Critical-to-Quality parameters - Partner with Engineering, Product, and Operations on design, manufacturability, and reliability - Support APQP processes including PFMEA, control plans, and PPAP - Ensure production readiness through validation of test systems and inspection methods - Monitor launch and field quality metrics such as DPPM, yield, and warranty data - Lead root cause analysis using 8D, 5 Whys, and statistical methods - Drive corrective actions, containment, and continuous improvement initiatives - Support change control, audits, and compliance with ISO 9001 standards - Collaborate with suppliers, service teams, and customers on quality issues - Communicate risks and performance trends to leadership Qualifications - Bachelor's degree in Electrical, Manufacturing, Systems, or related field - 5+ years of Quality Engineering experience in hardware or electromechanical products - Strong knowledge of quality tools such as FMEA, MSA, control plans, and problem solving methods - Experience with data analysis tools such as Minitab or Power BI - Familiarity with ISO 9001 and audit processes - Six Sigma or CQE certification preferred Preferred Skills - Experience with PCBA or electronics manufacturing - Knowledge of reliability methods and systems like PLM, ERP, or MES - Strong cross-functional collaboration and communication skills - High ownership and continuous improvement mindset Job Type & Location This is a Contract to Hire position based out of Everett, WA. Pay and Benefits The pay range for this position is $60.00 - $75.00/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) Workplace Type This is a hybrid position in Everett,WA. Application Deadline This position is anticipated to close on Jun 30, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing winner for both client and talent service. 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. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

Role Description Join Twilio’s rapidly-growing AI & Data Platform team as a Machine Learning Engineer. You will design, build, and operate the cloud-native data and ML infrastructure that powers every customer interaction, enabling Twilio’s product teams and customers to move from raw events to real-time intelligence. This is a hands-on, builder-focused role that offers clear technical ownership, mentoring, and growth inside a company defining the future of communications with AI. Responsibilities - Architect, implement, and maintain scalable data pipelines and feature stores for batch and real-time workloads. - Build reproducible ML training, evaluation, and inference workflows using modern orchestration and MLOps tooling. - Integrate event streams from Twilio products (e.g., Messaging, Voice, Segment) into unified, analytics-ready datasets. - Monitor, test, and improve data quality, model performance, latency, and cost. - Partner with product, data science, and security teams to ship resilient, compliant services. - Automate deployment with CI/CD, infrastructure-as-code, and container orchestration best practices. - Produce clear documentation, dashboards, and runbooks; share knowledge through code reviews and brown-bag sessions. - Embrace Twilio’s “We are Builders” values by taking ownership of problems and driving them to completion. Qualifications - B.S. in Computer Science, Data Engineering, Electrical Engineering, Mathematics, or related field—or equivalent practical experience. - 3–5 years building and operating data or ML systems in production. - Proficient in Python and SQL; comfortable with software engineering fundamentals (testing, version control, code reviews). - Hands-on experience with ETL/ELT orchestration tools (e.g., Airflow, Dagster) and cloud data warehouses (Snowflake, BigQuery, or Redshift). - Familiarity with ML lifecycle tooling such as MLflow, SageMaker, Vertex AI, or similar. - Working knowledge of Docker and Kubernetes and at least one major cloud platform (AWS, GCP, or Azure). - Understanding of data modeling, distributed computing concepts, and streaming frameworks (Spark, Flink, or Kafka Streams). - Strong analytical thinking, communication skills, and a demonstrated sense of ownership, curiosity, and continuous learning. Requirements - Experience with Twilio Segment, Kafka/Kinesis, or other high-throughput event buses. - Exposure to infrastructure-as-code (Terraform, Pulumi) and GitHub-based CI/CD pipelines. - Practical knowledge of generative AI workflows, foundation-model fine-tuning, or vector databases. - Contributions to open-source data/ML projects or published technical presentations/blogs. - Domain experience in communications, marketing automation, or customer engagement analytics. Benefits - Competitive pay. - Generous time off. - Ample parental and wellness leave. - Healthcare. - Retirement savings program. - Additional benefits vary by location. Location This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel For this role, you may be required to travel occasionally to participate in project or team in-person meetings. Compensation The estimated pay ranges for this role are as follows: - Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C.: $138,700 - $173,400. - Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $146,800 - $183,600. - Based in the San Francisco Bay area, California: $163,100 - $203,900. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. Equal Opportunity Employer Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

Job Title: Weld Engineer Location: New Berlin WI United States category Manufacturing, Mechanical, & Electrical 70 USD - 80 USD/hour Job Description: We are seeking a skilled Weld Engineer to design and develop welding procedures and specifications. This role involves selecting appropriate welding techniques, equipment, and materials, inspecting welded components for quality and compliance, and collaborating with design, production, and quality teams. The successful candidate will troubleshoot welding defects, recommend improvements, and maintain documentation for traceability and regulatory compliance. Responsibilities - Design and develop welding procedures and specifications. - Select appropriate welding techniques, equipment, and materials. - Inspect welded components for quality and compliance. - Collaborate with design, production, and quality teams. - Troubleshoot welding defects and recommend improvements. - Maintain documentation for traceability and regulatory compliance. Essential Skills - Proficiency in welding techniques and processes such as MIG, TIG, SMAW, and FCAW. - Certified Welding Inspector (CWI) certification. - Strong understanding of welding engineering and weld codes. - Bachelor's degree in Welding Engineering, Mechanical Engineering, or a related field. - Minimum of 5 years of experience in welding processes, metallurgy, and CAD tools. Additional Skills & Qualifications - Familiarity with AWS standards and other relevant standards. - Experience with audits. Work Environment This position could be remote, offering flexibility in the work environment. Job Type & Location This is a Contract to Hire position based out of New Berlin, WI. Pay and Benefits The pay range for this position is $70.00 - $80.00/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) Workplace Type This is a hybrid position in New Berlin,WI. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing winner for both client and talent service. 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. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email for other accommodation options. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

• Work with and collaborate with senior design staff to develop multi-domain co-simulation and digital twin capabilities for data center design and construction. • Execute and assist project leadership on projects of complex scope. • Work independently or under limited supervision. • Coordinate closely with design teams to define co-simulation objectives, key performance metrics, and acceptance criteria. • Develop and integrate thermo-hydraulic (flow-network) models for chilled water and liquid cooling systems. • Build and maintain system-level models for steady-state and transient response, including redundancy/failure-mode scenarios and control logic impacts. • Perform pressure drop, flow balancing, and heat rejection analyses to validate design intent. • Assist in developing proposals including modeling scope, schedule, and budget. • Conduct rigorous validation and calibration of system/co-simulation results using analytical techniques and real-world data. • Prepare project progress reports, issue logs, and model status updates for internal and external stakeholders.