Staff Engineer jobs at GALE - 136 jobs

Gale Associates, Inc. is seeking a Staff Designer to join our Glastonbury, CT office. Gale is a well-respected national engineering/planning firm celebrating over 61 years in business and rated one of Zweig Groups Best Firms to Work For for the past 12 consecutive years. Key Responsibilities: The selected candidate will join our Building Enclosure Design and Consulting (BEDC) Group to perform field evaluations, basic engineering, construction observation, submittal review and CAD drafting. The focus of BEDC is the thermal, moisture, air and structural performance of building enclosures. Requirements: ABET accredited Bachelors Degree in Civil, Construction or Structural Engineering, or in Architecture. Practical hands-on knowledge and Co-op experience in the construction trades is desired. Must understand basic engineering concepts, principles, codes, and theories. Engineering candidates must have passed FE exam or are scheduled to take it. Capable of working in a fast-paced environment in a proactive manner when given general instructions. Excellent communication skills and proficient computer capabilities (MS Office 2013, AutoCAD) are required. A competitive salary is only one part of the benefits that Gale provides to compensate and recognize staff. Salary range: $66,500-$89,600 annually Gale offers a strong mentoring program that promotes advancement opportunities for all staff. In addition, Gale takes pride in our balanced work environment which includes monthly events that provide time for our Gale Team to socialize.Please visit our careers section at************************* more details. First-day coverage benefits including: Harvard Pilgrim Health Insurance Delta Dental & EyeMed Vision insurance Health Savings Account (HSA) Flexible work schedule/hybrid options Half-day Fridays year round 401(k) Profit Sharing Plan and Trust 3 weeks vacation accrual upon hire 12 annual paid holidays, competitive sick & personal time Tuition reimbursement program for continuing education programs College loan-repayment program Fully-paid Life/Disability insurance Flexible Spending Account and Dependent Care Assistance programs Gale is an Equal Opportunity Employer Veteran/Disability

Job Description Senior AI Engineer - Wakefield, MA C-4 Analytics The ideal candidate understands the benefits of in-person teamwork and is available to work from our office a minimum of three days per week C-4 Analytics is a fast-growing, private, full-service digital marketing company that excels at helping automotive dealerships increase sales, increase market share, and lower cost per acquisition. C-4 Analytics is committed to developing innovative solutions for every dealer in every market, and to providing the highest levels of accountability and customer service. We are currently hiring for a Senior AI Engineer as we look to expand our team and support our growing roster of local and national clients. If you are unable to complete this application due to a disability, contact C-4 Analytics to ask for accommodation or an alternative application process. Who We're Looking For: Senior AI Engineer - Wakefield, MA We are seeking an AI Wizard who speaks fluent LLM and dreams in Vector Databases. As a Senior AI Engineer, you will be working with the latest in AI technology, including agent libraries, advanced LLMs and NLP tools. You'll have the opportunity and autonomy to lead the development and implementation of AI-powered solutions. This role will focus on integrating diverse data sources, refining AI interactions through prompt engineering, and collaborating with cross-functional teams to drive artificial intelligence adoption and innovation. You will be responsible for providing architectural decisions and opinions, gaining consensus within your team, and maintaining discipline to adhere to those practices. We are looking for a process oriented, team player who can shape and mold our AI development effort. Your work will directly impact how automotive dealerships operate and compete in their markets. If you've ever wanted to: Be the person who makes AI actually useful (not just another chatbot that tells jokes) Work with cutting-edge tech without the "we're changing the world with blockchain" nonsense Build systems that impact real businesses and real people Never have to explain to your family why you're "still playing with computers" (because the results speak for themselves) A day in the life of a Senior AI Integration Engineer Heavily focus on individual autonomy based on Agile rituals. You'll bring a high level of process-related routines, understanding the scope of the work and taking initiative on execution of tasks. Working with NLP that utilizes cutting-edge AI technologies to integrate AI-driven insights across company systems, enhancing access to data and supporting decision-making processes. Leverage AI technologies (LLMs) to continue development and implement agents for company-wide insights. Implement test-driven prompt engineering to design, optimize, and refine prompts for accurate and relevant AI-driven interactions, ensuring AI responses are thoroughly validated for accuracy, relevance, and consistency before deployment Integrate AI with internal and external data sources, ensuring seamless access to business-critical data. Collaborate with engineering, data science, product management, and operations teams. Assist in data architecture, preparation, and sanitization for effective use by AI models. Develop AI strategies aligned with business goals and objectives. Monitor and optimize AI performance for continuous improvement. Advise on AI adoption and identify areas for efficiency and innovation. Ensure ethical use of AI, maintaining data security, privacy, and compliance. Stay current with advancements in AI, ML, and LLM technologies. Consistently evaluate and improve the software development lifecycle The Tech Toybox includes:: 🛠️ Modern AI Frameworks | Advanced LLMs & NLP tools 🧠 TensorFlow/PyTorch for those deep learning dreams ☁️ Cloud platforms to make it all float 🔗 Langchain & LlamaIndex for connecting the dots What you'll need to succeed: At least 3 years of proficiency in AI and machine learning technologies, particularly LLMs. Familiarity with SOLID principles of software development Experience with the Agile methodology of software development Strong experience with prompt engineering and NLP tasks. Proven experience integrating AI systems with data platforms (databases, data lakes, APIs). Familiarity with data wrangling and preparation tools. Programming skill Python and experience with AI frameworks (TensorFlow and PyTorch). Experience with cloud platforms (AWS, Google Cloud, etc). 3+ years of professional experience working in agile teams and SDLC for AI projects. Understanding of AI observability frameworks LLMs, Vector Databases (i.e. OpenSearch, ElasticSearch), RAG, ETL This role requires a blend of technical expertise, strategic thinking, and collaborative skills to effectively integrate AI solutions and drive business value. Flexibility: The Senior AI Engineer may benefit from the flexibility to work in a way that suits them best. We offer the following working options: Office-Based: Our modern and well-equipped office space provides a collaborative environment where you can work closely with teams, engage in face-to-face interactions, and foster a sense of community. Hybrid: For those who prefer a balance between office and remote work, we offer a hybrid model. This allows you to divide your time between working in the office and remotely, providing the best of both worlds. Compensation: We offer a competitive compensation commensurate with experience and qualifications. The salary range for this position is $130,000 - $160,000. The final salary will be determined based on factors such as skills, knowledge, and demonstrated expertise. Please note that the stated salary range is flexible and negotiable based on individual qualifications and fit for the role. We encourage candidates to discuss their salary expectations during the interview process. Working at C-4 Analytics We provide our employees with a range of benefits, including career development programs, unlimited paid time off, and additional perks. All are welcome to visit our careers and culture page for more details. What our Employees Say: Want to know what makes working at C-4 Analytics so rewarding? Take it from the true experts: our current teammates. Recent surveys about our workplace and culture suggest that our staff loves: The People: It's not just a cliché; we have the best, hungriest and smartest team in the business. The Culture: Teamwork. Camaraderie. Perseverance. We hire for these traits, and it shows. The Growth: We place a real emphasis on training, development and career planning. The Trust: Our managers empower their people and teams to thrive in their own ways. The Challenge: We work in a competitive industry and a dynamic field. You'll never be bored! In-Office Perks Accelerated Growth via Osmosis and Coaching: Learn sales strategies and industry knowledge naturally by hearing colleagues handle calls and receive instant feedback and hands-on guidance from your manager and colleagues during in-person weekly one-on-ones. Boosted Visibility and Networking: Build strong connections with your team, leaders, and mentors, increasing your visibility within the organization, which can lead to more opportunities for career advancement. Soft Skills Mastery: Develop crucial soft skills in a group setting, such as communication, problem-solving, and teamwork, which are essential for long-term professional success. Knowledge Transfer and Expertise: Benefit from informal knowledge sharing and mentorship, ensuring constant access to the information and guidance needed to become an expert in the automotive world. Spark Innovation and Collaboration: Physical proximity facilitates spontaneous discussions and brainstorming sessions that spark innovative and creative solutions to problems. Enjoy Daily Perks and Wellness: Fuel your day with cold brew on tap, free beverages, and a stocked snack pantry. Additionally, enjoy free weekly lunch and monthly wellness events like Yoga and Paint & Sip. Structured Work-Life Balance: Our Monday through Friday, 9:00 am to 5:30 pm schedule helps you separate work from home, reducing the risk of burnout. More About C-4 Analytics C-4 Analytics takes the guesswork out of advertising. We don't over-promise: we over-deliver. We provide real value to our clients because we really value them as partners. We love Google and Facebook, but also love Instagram and Bing. We innovate, educate and instigate. We are forward-thinking, but we learn from the past. We are results-driven and our strategies drive results. We love the practical applications of psychology to marketing, but we aren't above a good practical joke. We are team players, but we love to crush our competitors. We create an environment of respect and we respect the environment. We are the brains and the good looks. We are very humble. We are nerds, but cool, likable nerds. We are never gonna give you up. Never gonna let you down. We are all work and all play. We calculated that only 15.8% of visitors who started this paragraph would actually read this far down. We are C-4 Analytics. Powered by JazzHR enb Jt5JJZT

EBSCO Information Services (EBSCO) delivers a fully optimized research experience, seamlessly integrated with a powerful discovery platform to support the information needs and maximize the research experience of our end-users. Headquartered in Ipswich, MA, EBSCO employs more than 2,700 people worldwide, with most embracing hybrid or remote work models. As an AI-enabled service leader, we thrive on innovation, forward-thinking strategies, and the dedication of our exceptional team. At EBSCO, we're driven to inspire, empower and support research. Our mission is to transform lives by providing reliable and relevant information - when, where and how people need it. We're seeking dynamic, creative individuals whose diverse perspectives will help us achieve this global, inclusive mission. Join us to help make an impact. Your Opportunity As a Senior ML Ops Engineer 1, you will play a key role in designing, building, and maintaining production-grade machine learning (ML) pipelines and infrastructure within our AWS-based data lakehouse ecosystem. Working alongside data engineers, data scientists, and DevSecOps teams, you will operationalize ML models and ensure the reliability, security, and scalability of the ML lifecycle-from data ingestion through training, deployment, and monitoring. You will help shape the ML Ops framework, contribute to automation that accelerates delivery, and ensure alignment with established platform Non-Functional Requirements (NFRs). This is a highly collaborative, hands-on engineering role requiring a deep understanding of AWS services, automation, and ML workflow orchestration. This position is remote and operates within a distributed agile environment. What You'll Do Design, build, and maintain ML Ops pipelines supporting model training, validation, and deployment across AWS environments. Implement automation for model packaging, testing, deployment, and monitoring using CI/CD best practices. Collaborate with data engineers and data scientists to operationalize ML workloads within the data lakehouse ecosystem. Develop and maintain integrations between data ingestion, feature stores, and model repositories. Apply infrastructure-as-code (Terraform, AWS CDK, CloudFormation) to automate ML pipeline infrastructure. Implement and manage model versioning, reproducibility, and lineage tracking using tools such as MLflow or SageMaker Model Registry. Define and automate monitoring, alerting, and retraining strategies for deployed models. Ensure all ML infrastructure and pipelines meet enterprise security, compliance, and governance standards. Participate in code reviews, knowledge sharing, and continuous improvement of ML Ops practices. Mentor junior engineers and contribute to documentation, standards, and best practices for ML Ops across teams. Your Team: This role is part of the Data & AI organization, focusing on the operationalization of ML models and pipelines within AWS. Areas of specialty include: ML pipeline automation and orchestration Model versioning, governance, and observability Feature store integration and reproducibility Secure, compliant, and scalable ML infrastructure Continuous improvement of ML lifecycle automation About You Bachelor's Degree in Computer Science, Data Engineering, or a related technical field or equivalent experience. 4+ years of professional experience in software, data, or ML engineering. 2+ years of direct experience implementing and maintaining ML pipelines in production. Strong proficiency in Python and familiarity with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn. Hands-on experience with AWS services (SageMaker, Step Functions, Lambda, ECR, S3, Glue, IAM). Solid understanding of CI/CD, containerization (Docker) Experience with building CI/CD pipelines (Jenkins, Github Actions, etc.). Experience with infrastructure-as-code and automation (Terraform, AWS CDK, or CloudFormation). Strong understanding of data pipelines, ETL/ELT concepts, and feature engineering in a lakehouse environment. Proven ability to apply software engineering practices to machine learning workflows. Strong communication and collaboration skills across multidisciplinary teams. What sets you apart: Experience with feature stores, data catalogs, and metadata management. Familiarity with model governance and compliance frameworks. Experience with model monitoring and drift detection tools (CloudWatch, or custom solutions). Understanding of data lakehouse technologies such as Apache Iceberg or Delta Lake. Contributions to open-source ML Ops or DevOps tooling. Experience in Agile development environments and cross-functional collaboration. Pay Range USD $120,120.00 - USD $171,600.00 /Yr.

Gale Associates, Inc. is seeking a Staff Designer to join our Towson, MD office. Gale is a well-respected national engineering/planning firm celebrating over 61 years in business and rated one of Zweig Group's “Best Firms to Work For” for the past 12 consecutive years. Key Responsibilities: The selected candidate will perform field evaluations, construction monitoring, submittal review and design drafting. Requirements: ABET accredited Bachelor's Degree in Civil or Structural Engineering and experience either as a Co-op or in the construction trades. Engineering candidates must have scheduled and/or passed FE exam. Excellent communication skills and proficient computer capabilities (MS Office 2013, AutoCAD) are required. A competitive salary is only one part of the benefits that Gale provides to compensate and recognize staff. Salary range: $66,500-$89,600 annually Gale offers a strong mentoring program that promotes advancement opportunities for all staff. In addition, Gale takes pride in our balanced work environment which includes monthly events that provide time for our Gale Team to socialize. Please visit our careers section at ********************** for more details. First-day coverage benefits including: Harvard Pilgrim Health Insurance Delta Dental & EyeMed Vision insurance Health Savings Account (HSA) Flexible work schedule/hybrid options Half-day Friday's year round 401(k) Profit Sharing Plan and Trust 3 weeks' vacation accrual upon hire 12 annual paid holidays, competitive sick & personal time Tuition reimbursement program for continuing education programs College loan-repayment program Fully-paid Life/Disability insurance Flexible Spending Account and Dependent Care Assistance programs Gale is an Equal Opportunity Employer - Veteran/Disability

Gale Associates, Inc. is seeking a Staff Designer to join our Glastonbury, CT office. Gale is a well-respected national engineering/planning firm celebrating over 61 years in business and rated one of Zweig Group's “Best Firms to Work For” for the past 12 consecutive years. Key Responsibilities: The selected candidate will join our Building Enclosure Design and Consulting (BEDC) Group to perform field evaluations, basic engineering, construction observation, submittal review and CAD drafting. The focus of BEDC is the thermal, moisture, air and structural performance of building enclosures. Requirements: ABET accredited Bachelor's Degree in Civil, Construction or Structural Engineering, or in Architecture. Practical hands-on knowledge and Co-op experience in the construction trades is desired. Must understand basic engineering concepts, principles, codes, and theories. Engineering candidates must have passed FE exam or are scheduled to take it. Capable of working in a fast-paced environment in a proactive manner when given general instructions. Excellent communication skills and proficient computer capabilities (MS Office 2013, AutoCAD) are required. A competitive salary is only one part of the benefits that Gale provides to compensate and recognize staff. Salary range: $66,500-$89,600 annually Gale offers a strong mentoring program that promotes advancement opportunities for all staff. In addition, Gale takes pride in our balanced work environment which includes monthly events that provide time for our Gale Team to socialize. Please visit our careers section at ********************** for more details. First-day coverage benefits including: Harvard Pilgrim Health Insurance Delta Dental & EyeMed Vision insurance Health Savings Account (HSA) Flexible work schedule/hybrid options Half-day Friday's year round 401(k) Profit Sharing Plan and Trust 3 weeks' vacation accrual upon hire 12 annual paid holidays, competitive sick & personal time Tuition reimbursement program for continuing education programs College loan-repayment program Fully-paid Life/Disability insurance Flexible Spending Account and Dependent Care Assistance programs Gale is an Equal Opportunity Employer - Veteran/Disability

We are seeking a highly motivated Engineer or Scientist to lead and contribute to the development of Hollow Core Fiber (HCF) preform manufacturing or fiber draw processes. This role requires expertise in mechanical engineering, physics, or related fields to optimize preform or fiber draw technology and improve product performance. The ideal candidate will work on process design, troubleshooting, and innovation in fiber draw techniques, preform fabrication, and collaborating with cross-functional teams to advance next-generation optical fiber technologies. EDUCATION and EXPERIENCE: * Bachelor's Degree in Physics, Mechanical or Chemical Engineering, Materials Science, or a similarly related field. * Candidates with experience in HCF preform fabrication or fiber draw is required. * 3+ years of experience in process development, manufacturing, or related fields. ADDITIONAL QUALIFICATIONS: (Preferred qualifications, certifications, and/or licenses) * Optical fiber manufacturing background required. * LEAN/Six Sigma manufacturing experience or certifications. * Electrical, programming, and mechanical design skills are helpful in this role. * Experience working in an ISO-certified industrial setting. ESSENTIAL RESPONSIBILITIES: * Participate in the departmental safety team to complete safety improvement initiatives. * Lead the development and optimization of HCF draw processes or preform fabrication to improve quality, reliability, and scalability. * Investigate the relationship between process parameters, fiber properties, and manufacturing outcomes. * Develop innovative solutions to enhance the uniformity, throughput, and reliability of fiber draw processes or preform fabrication. * Identify and resolve defects or challenges in preform manufacturing or fiber draw, including troubleshooting equipment and material issues. * Collaborate with project teams to design and develop equipment and techniques for process optimization. * Conduct process trials and experiments to achieve project milestones. * Document processes and develop standard operating procedures to train operators. * Conduct research, propose experiments, and analyze data to validate hypotheses and improve process understanding. * Be a strong team player with openness and willingness to contribute toward group goals and achievements. * Perform other related duties as required to meet project and organizational needs, including engagement with night shift personnel. KNOWLEDGE, SKILLS, ABILITIES: * Proficiency in data analysis, experimental design, and process optimization methods. * Understanding of high-temperature processes, glass softening, and material flow, such as in fiber drawing. * Analytical and problem-solving skills to address complex process challenges and defects. * Collaboration skills to work with cross-functional teams and global partners. * Excellent technical writing and presentation skills for communicating research findings and process updates. * Strong organizational skills to manage multiple projects and prioritize tasks effectively. * Adaptability to work independently while supporting team objectives in a dynamic environment. GENERAL EXPECTATIONS: * Demonstrate effective communications skills (verbal, written) * Proficiency with MS Office Word and Excel * Maintain discretion when working with confidential and proprietary information * Strict adherence to Company safety policies and procedures * Conformance to all aspects of Lightera's "Standards of Conduct" document * Hiring Range: $75,000 - $150,000 Please note that the final offer may vary within this range based on a candidates experience, skills, qualifications and internal equity considerations.

Apply now: Principal Cybersecurity Engineer - Architecture, location is Hybrid. The start date is ASAP for this permanent position. Job Title: Principal Cybersecurity Engineer - Location: Hybrid (Can sit in either location : Baltimore, MD 21202 or Irving, TX 75063 or Evansville, IN 47708) Start Date: ASAP Duration: Permanent Full Time Salary Range: $175-195K Job Description: Lead enterprise-level security architecture by designing and aligning cybersecurity solutions with regulatory frameworks and business goals. Day-to-Day Responsibilities: Design and review implementation of security controls across on-prem and cloud environments Map and maintain NIST 800.53 controls to security tools Create and update enterprise security architecture documentation Collaborate with stakeholders for tool rationalization and capability mapping Conduct gap analyses and develop long-term architectural strategies Mentor enterprise architects and guide security best practices Lead threat modeling activities and maintain proactive risk management Evaluate and measure effectiveness of security processes and tools Requirements: Must-Haves: 8 years in cybersecurity and IT architecture roles Expertise in NIST 800.53 controls and regulatory frameworks Experience with Okta, AWS, Azure, Jira, Confluence, ServiceNow Strong communication skills across technical and C-level audiences Bachelor's degree in Computer Science or related field Nice-to-Haves: Experience with Elastic, ZScaler, Generative AI (security-focused) CISSP, AWS Architecture, Microsoft SC-100, GCP Architecture certifications Experience with PCI/DSS, Zero Trust, DevSecOps practices

InterImage is seeking a highly experienced Senior Applications Developer. This position provides senior-level technical and functional expertise supporting joint force deployment planning and execution for Department of Defense (DoD) mission partners. Essential Job Functions· Provides technical expertise for the Database Schema and Ruleset.· Responsible for development and refinement of Database changes.· Analyze deployment requirements, command relationships, and force movement characteristics across joint and interagency environments.· Collaborate with military planners, analysts, engineers, and senior stakeholders to translate operational requirements into technical solutions.· Prepare and present technical and analytical deliverables, including briefings, white papers, and reports, for both technical and non-technical audiences. Required Qualifications· 12+ years of application development experience supporting enterprise or mission-critical systems.· Hands-on experience developing applications using:· Oracle and/or PostgreSQL databases· Oracle WebLogic and/or Apache Tomcat· Java· Experience working in Agile and/or Waterfall development environments. Desired Qualifications· Working knowledge of DoD and interagency policies, processes, and operational planning frameworks.· Ability to provide technical leadership and guidance to diverse stakeholder groups with varying priorities.· Strong analytical skills with the ability to gather, evaluate, and synthesize complex data and develop actionable recommendations.· Ability to apply analytical and evaluative techniques to deployment planning issues, including joint command relationships, responsibilities, and deployment characteristics. Clearance Level: Secret Job Location: Fort Meade, MD Salary Range: 140000-175500

The Role We are seeking a Lead Perception Engineer based out of our Lexington, MA headquarters with hybrid/field-based options to architect, implement, and operationalize the end-to-end perception, sensor ingestion, and sensor fusion pipeline for autonomous maritime navigation. This is a foundational, hands-on technical leadership role. You will personally build the initial perception and data ingestion stack while establishing the technical direction and standards for a future perception team. The ideal candidate is equally comfortable designing system architecture, writing performance-critical code, and working in the field to ensure sensors and data pipelines operate reliably in real conditions. You will work closely with hardware, autonomy, and systems engineering teams to ensure sensor choices, data ingestion, and perception outputs scale with the company's roadmap. Autonomy at sea introduces unique perception challenges-long-range sensing, dense and ambiguous scenes, dynamic backgrounds, adverse weather, and limited infrastructure. Solving these problems requires engineers who can build robust, production-ready perception systems, not just prototypes. U.S. Person status is required as this position needs to access export controlled data. What You'll Do Perception, Sensor Fusion & Ingestion Architecture Design and implement the full perception stack for autonomous maritime navigation, including: Multi-camera perception (detection, classification, tracking) Sensor fusion across vision, navigation sensors, and future modalities Interfaces to planning, control, and autonomy systems Architect sensor data ingestion pipelines, including: Reliable, time-synchronized ingestion of high-bandwidth sensor streams Scalable abstractions that support evolving sensor configurations Data formats and APIs that enable downstream perception, logging, and replay Define system-level requirements, performance metrics, and validation strategies for perception and sensor ingestion in maritime environments. Hands-On Development Build production-quality perception and ingestion pipelines in modern C++ and Python, from raw sensor input through onboard runtime deployment. Develop and deploy machine learning-based perception models, including optimization for onboard and embedded compute. Where appropriate, implement GPU-accelerated components (e.g., CUDA) to meet latency, throughput, and power constraints. Own dataset curation, model evaluation, regression testing, and continuous performance improvement. Data Collection & Field Operations Lead and participate directly in field testing, sensor bring-up, and data collection on vessels. Design and execute sensor calibration, synchronization, and validation procedures. Build robust logging, replay, and annotation workflows to ensure high-quality training and evaluation data. Work hands-on in real operating conditions to validate both sensors and ingestion pipelines. Hardware & Cross-Functional Integration Partner closely with Mechanical, Electrical, and Systems Engineering teams to: Define camera and sensor requirements Influence sensor selection, placement, and mounting Ensure ingestion pipelines reflect real hardware constraints and failure modes Collaborate with autonomy and controls engineers to define perception outputs that enable safe and reliable navigation decisions. Technical Leadership Serve as the technical owner of perception and sensor ingestion within the autonomy organization. Establish engineering best practices, coding standards, and architectural patterns. Mentor and help hire future perception engineers as the team grows. Who You Are 7+ years of experience building perception systems for robotics, autonomous vehicles, or complex real-world systems. Deep expertise in computer vision and perception, including detection, tracking, and sensor fusion. Strong proficiency in modern C++ and Python for production systems. Experience designing sensor data ingestion pipelines for high-throughput, time-sensitive systems. Demonstrated ability to work across software, hardware, and systems boundaries. Comfortable working hands-on with sensors, prototypes, and field-deployed systems. Clear technical communication and strong ownership from concept through deployment. Nice To Haves Experience with GPU programming and acceleration, including CUDA. Experience optimizing perception or ingestion pipelines for real-time or embedded constraints. Prior technical leadership of perception or robotics teams. Experience designing perception systems from a blank slate through operational deployment. Background in robotics or autonomy companies with strong hardware-software integration. Experience operating in unstructured outdoor environments (marine, off-road, industrial). What We Offer Incredibly high-caliber teammates. You'll work directly with our co-founders Rylan, Scott, and Austin. A fast-paced, creative working environment that offers a lot of room for ownership and growth. Opportunity to join a meaningful mission that protects America and our Democracy. Expected Salary Range: $215,000-$250,000 annual base salary. Final compensation will depend on experience and skill level Startup equity options Generous PTO, medical, dental, and vision coverage We are an equal opportunity employer. All hiring is contingent on eligibility to work in the United States. We are unable to sponsor or transfer visas for applicants.

We are seeking a Mechanical Engineer to design, build, and validate the core hardware systems that enable highly reliable autonomy systems at sea. Responsibilities Develop system- and component-level requirements to ensure performance, safety, and reliability in harsh environments. Design, analyze, and test mechanical and fluid systems for autonomous maritime platforms. Build prototypes and support rapid iteration cycles from clean-sheet design through testing and deployment. Collaborate with cross-functional teams to integrate propulsion, mechanisms, and hardware systems. Conduct trade studies, tolerance analyses, and risk assessments to guide design decisions. Manage suppliers and fabrication partners to deliver components on time and on spec. Support system-level validation, field integration, and troubleshooting. Contribute to process improvements that enable faster development and more reliable hardware. Qualifications Have 3-7 years of mechanical engineering experience in aerospace, defense, robotics, or other complex hardware systems. Bring expertise in mechanical design, fluid systems, and thermal/dynamic environments Comfortable working hands-on with prototypes, test setups, and operational hardware. Excel at collaborating across engineering disciplines and leading integration efforts. Communicate clearly, balance speed with rigor, and take ownership from concept through delivery. Energized by solving practical engineering challenges in fast-moving, mission-driven environments. What We Offer Incredibly high-caliber teammates. You'll work directly with our co-founders Rylan, Scott, and Austin. A fast-paced, creative working environment that offers a lot of room for ownership and growth. Opportunity to join a meaningful mission that protects American and our Democracy. Salary Range: $90,000-$150,000 annual base salary Startup equity options Generous PTO, medical, dental, and vision coverage. Final compensation will depend on experience and skill level We are an equal opportunity employer. All hiring is contingent on eligibility to work in the United States. We are unable to sponsor or transfer visas for applicants.

Onto Innovation is a leader in process control, combining global scale with an expanded portfolio of leading-edge technologies that include: 3D metrology spanning the chip from nanometer-scale transistors to micron-level die-interconnects; macro defect inspection of wafers and packages; metal interconnect composition; factory analytics; and lithography for advanced semiconductor packaging. Our breadth of offerings across the entire semiconductor value chain helps our customers solve their most difficult yield, device performance, quality, and reliability issues. Onto Innovation strives to optimize customers' critical path of progress by making them smarter, faster and more efficient. Job Summary & Responsibilities We are currently seeking an Inspection and Metrology Applications Engineer to support our customers on the applications of Onto Innovation Inspection Systems (FireFly) for both Panel and Wafer based manufacturing processes. The Applications engineer will also support the Sales and Marketing teams by performing customer demonstrations, feasibility studies and providing technical directions to secure future sales of equipment and services. Responsibilities: Become a Subject Matter Expert on Onto Innovation's Inspetion and Metrology products. Support customer applications development activities that require full understanding of the system set-up, inspection of customer's product, confirmation of optimal and accurate results, and presentation of results Work closely with internal and external customers to understand their requirements and challenges and ensure that Onto Innovation's systems are configured and utilized optimally Provide support and applications training to customers as well as various internal functional groups to ensure systems are being used effectively Develop system requirements that meet customer requirements and product definitions provided by other departments Assist in developing and executing system level test plans to validate that the engineering designs meet customer requirements Compile and assist in the presentation of test data collected during design validations to a peer group of engineers Contribute to documentation for use in the manufacture, installation, technical support and training related to the final design Support engineering products through entire life cycle Support training, application support, and characterization of NPI (new product introduction) 10%-20% domestic and international travel required. Qualifications Qualifications: B.S. in Engineering, Physics or Materials Science is required, M.Sc or Ph.D is preferred Greater than two years process engineering experience with wafer or panel manufacturing facility would be plus Greater than two years hands on experience with semiconductor inspection and metrology equipment Excellent written and verbal communication skills are essential Ability to work with limited direction and take initiative to solve problems Ability to function in a fast paced environment Fluency in Japanese, Chinese or Korean is a plus, but not required Why Join Onto Innovation? At Onto Innovation, we believe your work should matter-and so should your well-being. That's why we offer competitive salaries and a comprehensive benefits package designed to support you and your family. From health, dental, and vision coverage to life and disability insurance, PTO, and a 401(k) with employer match, we've got you covered. You'll also enjoy access to our Employee Stock Purchase Program (ESPP), wellness initiatives, and cutting-edge tools-all within a collaborative, inclusive culture where your contributions are valued and recognized. Compensation & Growth • Base Salary Range: $96,800.00 - $145,200.00, offered in good faith and based on experience, location, and qualifications. Additional Rewards: Annual bonus opportunities and potential long-term incentives tied to both company and individual success. Empowering Every Voice to Shape the Future: Onto Innovation is committed to creating a workplace where every qualified candidate has an equal opportunity to succeed. We evaluate applicants based on skills, experience, and potential - without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, veteran status, or any other characteristic protected by law. We believe diversity of thought and background drives innovation and strengthens our team. Important Note on Export Compliance For certain positions requiring access to technical data, U.S. export licensing review may be necessary for applicants who are not U.S. Citizens, Permanent Residents, or other protected persons under 8 U.S.C. 1324b(a)(3).

Onto Innovation is a leader in process control, combining global scale with an expanded portfolio of leading-edge technologies that include: 3D metrology spanning the chip from nanometer-scale transistors to micron-level die-interconnects; macro defect inspection of wafers and packages; metal interconnect composition; factory analytics; and lithography for advanced semiconductor packaging. Our breadth of offerings across the entire semiconductor value chain helps our customers solve their most difficult yield, device performance, quality, and reliability issues. Onto Innovation strives to optimize customers' critical path of progress by making them smarter, faster and more efficient. Job Summary & Responsibilities Junior AI Engineer Team: You'll partner closely with our AI Lead Engineer and collaborate with field/service engineers who support our inspection & metrology tools across fabs. Goal: Build practical AI helpers that speed up tasks from recipe setup and troubleshooting to fleet management analytics and expert guidance from internal knowledge. About us Onto Innovation is a worldwide leader in the design, development, manufacture and support of defect inspection, advanced packaging lithography, process control metrology, and data analysis systems and software used by semiconductor device manufacturers worldwide. Onto Innovation provides a full-fab solution through its families of proprietary products that provide critical yield-enhancing information and real time process control responses, enabling microelectronic device manufacturers to drive down the costs and time to market of their products. The Company's expanding portfolio of equipment and software solutions is used in both the wafer processing and final manufacturing of ICs, and in adjacent markets such as FPD, and LED manufacturing. What you'll do · Prototype AI assistants & agents for field workflows: guided recipe setup, log triage, playbook lookups, parts/alarms advice, and fleet-wide health checks. · Build retrieval systems (RAG): ingest manuals, specs, ticket notes, recipes, logs, and best-practice docs; design chunking, embeddings, and indexing; tune prompts and retrieval for accuracy/latency. · Connect AI to our tools and data: stand up MCP servers (Model Context Protocol) and other connectors to safely expose internal systems (document stores, MES, issue trackers, telemetry APIs) to LLMs. · Fine-tune or adapt models (e.g., LoRA/QLoRA) for domain terms, error codes, and tool-specific intents when retrieval alone isn't enough. · Evaluate and harden: set up offline & online evals for groundedness/relevance; add guardrails, observability, and traceability; write runbooks. · Ship small apps: package prototypes behind simple APIs or lightweight UIs that field engineers can use (web chat, Slack/Teams bots, or CLI). · Data plumbing: parse messy PDFs/images/CSVs; normalize schemas for recipes, events, alarms, SPC/trace data. · Computer Vision - understanding, defect detection, segmentation, or SEM/optical imaging. · Work like an engineer: write readable Python/TypeScript, tests, and docs; use Git; participate in code reviews; iterate fast with the AI lead and domain SMEs. Minimum qualifications · BS in CS/EE/CE/ME (or equivalent experience). · Python proficiency (data wrangling, APIs, packaging); comfort on Linux and with Git. · Built at least one LLM app using a framework such as LangChain, LlamaIndex, or Semantic Kernel. · Hands-on with vector search (e.g., FAISS/Weaviate/Milvus) and embeddings; understands chunking, metadata, and hybrid search basics. · Familiarity with RAG and prompt engineering; can measure quality (groundedness/relevance) and reduce hallucinations. · Basic backend skills (REST/JSON, auth, environment secrets); experience containerizing with Docker. · Comfortable reading technical manuals/logs and collaborating with non-software teammates. Nice to haves · Worked with agent frameworks (LangGraph, AutoGen, CrewAI) or implemented tool-calling/plan-execute loops. · Built or configured MCP servers to connect LLMs to internal data/tools. · Experience parsing complex docs (e.g., Unstructured, GROBID) and handling images/figures from manuals. · Exposure to semiconductor equipment or factory systems (SECS/GEM, EDA/Interface A, MES, SPC); familiarity with KLA/AMAT/TEL/ASML tool ecosystems. · Time-series and log analysis (Pandas, SQL, TimescaleDB/InfluxDB), wafer map/vision background, or simple CV. · Model adaptation experience (LoRA/QLoRA, PEFT) and experiment tracking (MLflow/W&B). · LLM observability/evals (Ragas, TruLens, LangSmith), basic security/PII handling, and role-based access. · Cloud familiarity (AWS/Azure/GCP) and lightweight front-ends (React/Next.js) for internal tools. · Prior work on fleet-level dashboards/analytics or recipe/parameter management. What success looks like (first 90 days) · Ship a search+chat knowledge assistant over our internal docs with clear eval dashboards for faithfulness/relevance. · Stand up at least one MCP connector to an internal source (e.g., SharePoint/Confluence or log store) and demo safe tool calls. · Deliver a focused POC: e.g., an agent that reads recent alarms & logs to suggest next steps, or a fleet health summary with links to playbooks. · Document everything (design notes, runbooks, and “how to” guides) and gather field feedback for iteration. How we work · Pragmatic, security-minded, iterate-in-the-open with our engineers. · We value curiosity, clear writing, and the grit to trace weird edge cases in logs and manuals. Apply Send your resume/GitHub/portfolio and a short note about an LLM or agent project you've built (what made it work, what you measured, and what you'd improve). Qualifications see above Why Join Onto Innovation? At Onto Innovation, we believe your work should matter-and so should your well-being. That's why we offer competitive salaries and a comprehensive benefits package designed to support you and your family. From health, dental, and vision coverage to life and disability insurance, PTO, and a 401(k) with employer match, we've got you covered. You'll also enjoy access to our Employee Stock Purchase Program (ESPP), wellness initiatives, and cutting-edge tools-all within a collaborative, inclusive culture where your contributions are valued and recognized. Compensation & Growth • Base Salary Range: $72,080.00 - $108,120.00, offered in good faith and based on experience, location, and qualifications. Additional Rewards: Annual bonus opportunities and potential long-term incentives tied to both company and individual success. Empowering Every Voice to Shape the Future: Onto Innovation is committed to creating a workplace where every qualified candidate has an equal opportunity to succeed. We evaluate applicants based on skills, experience, and potential - without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, veteran status, or any other characteristic protected by law. We believe diversity of thought and background drives innovation and strengthens our team. Important Note on Export Compliance For certain positions requiring access to technical data, U.S. export licensing review may be necessary for applicants who are not U.S. Citizens, Permanent Residents, or other protected persons under 8 U.S.C. 1324b(a)(3).

The Role: As an Electrical Engineer, you'll work hands-on with the team building the electrical and power systems that make our autonomous vessels operate safely and reliably at sea. You'll support design, integration, and testing of control panels, power distribution, and sensing hardware across our platforms. If you are not afraid of getting a little wet, come join our team to develop the latest in autonomous ship technology, gain valuable experience, and have fun doing it. U.S. Person status is required as this position needs to access export controlled data. What You'll Do: Design of electrical control panels, harnesses, and subsystem interfaces. Support integration and testing of power distribution, batteries, converters, and switchgear. Create schematics meeting marine and navy requirements. Work with various contract manufacturers to get cable harnesses and electronic assemblies built and tested. Perform bench tests and debug boards, harnesses, and controls. Coordinate with Mechanical, Systems, Marine, and Software teams to get projects built and out the door. Provide clear, concise instructions to technicians for testing and assembly tasks. Who You Are: B.S. or M.S. in Electrical Engineering or related field. Minimum 3 years' experience in robotics, power, autonomy or similar fields. Familiar with AC and DC circuit design and analysis. Robotics Engineering experience. Experience designing and testing to industry/electrical standards. Have decent soldering skills and comfortable with hand tools and basic power tools. Ability to use electrical test equipment safely. Experience working on 1000VDC and 480Vac projects. Experience programming embedded systems. Nice To Haves: Develop scripts to manipulate and parse test data. Power system design and analysis experience. What We Offer Incredibly high-caliber teammates. You'll work directly with our co-founders Rylan, Scott, and Austin. A fast-paced, creative working environment that offers a lot of room for ownership and growth. Opportunity to join a meaningful mission that protects America and our Democracy. Expected Salary Range: $150,000-$175,000 annual base salary. Final compensation will depend on experience and skill level Startup equity options Generous PTO, medical, dental, and vision coverage We are an equal opportunity employer. All hiring is contingent on eligibility to work in the United States. We are unable to sponsor or transfer visas for applicants.

Onto Innovation is a leader in process control, combining global scale with an expanded portfolio of leading-edge technologies that include: 3D metrology spanning the chip from nanometer-scale transistors to micron-level die-interconnects; macro defect inspection of wafers and packages; metal interconnect composition; factory analytics; and lithography for advanced semiconductor packaging. Our breadth of offerings across the entire semiconductor value chain helps our customers solve their most difficult yield, device performance, quality, and reliability issues. Onto Innovation strives to optimize customers' critical path of progress by making them smarter, faster and more efficient. Job Summary & Responsibilities Junior AI Engineer Team: You'll partner closely with our AI Lead Engineer and collaborate with field/service engineers who support our inspection & metrology tools across fabs. Goal: Build practical AI helpers that speed up tasks from recipe setup and troubleshooting to fleet management analytics and expert guidance from internal knowledge. About us Onto Innovation is a worldwide leader in the design, development, manufacture and support of defect inspection, advanced packaging lithography, process control metrology, and data analysis systems and software used by semiconductor device manufacturers worldwide. Onto Innovation provides a full-fab solution through its families of proprietary products that provide critical yield-enhancing information and real time process control responses, enabling microelectronic device manufacturers to drive down the costs and time to market of their products. The Company's expanding portfolio of equipment and software solutions is used in both the wafer processing and final manufacturing of ICs, and in adjacent markets such as FPD, and LED manufacturing. What you'll do · Prototype AI assistants & agents for field workflows: guided recipe setup, log triage, playbook lookups, parts/alarms advice, and fleet-wide health checks. · Build retrieval systems (RAG): ingest manuals, specs, ticket notes, recipes, logs, and best-practice docs; design chunking, embeddings, and indexing; tune prompts and retrieval for accuracy/latency. · Connect AI to our tools and data: stand up MCP servers (Model Context Protocol) and other connectors to safely expose internal systems (document stores, MES, issue trackers, telemetry APIs) to LLMs. · Fine-tune or adapt models (e.g., LoRA/QLoRA) for domain terms, error codes, and tool-specific intents when retrieval alone isn't enough. · Evaluate and harden: set up offline & online evals for groundedness/relevance; add guardrails, observability, and traceability; write runbooks. · Ship small apps: package prototypes behind simple APIs or lightweight UIs that field engineers can use (web chat, Slack/Teams bots, or CLI). · Data plumbing: parse messy PDFs/images/CSVs; normalize schemas for recipes, events, alarms, SPC/trace data. · Computer Vision - understanding, defect detection, segmentation, or SEM/optical imaging. · Work like an engineer: write readable Python/TypeScript, tests, and docs; use Git; participate in code reviews; iterate fast with the AI lead and domain SMEs. Minimum qualifications · BS in CS/EE/CE/ME (or equivalent experience). · Python proficiency (data wrangling, APIs, packaging); comfort on Linux and with Git. · Built at least one LLM app using a framework such as LangChain, LlamaIndex, or Semantic Kernel. · Hands-on with vector search (e.g., FAISS/Weaviate/Milvus) and embeddings; understands chunking, metadata, and hybrid search basics. · Familiarity with RAG and prompt engineering; can measure quality (groundedness/relevance) and reduce hallucinations. · Basic backend skills (REST/JSON, auth, environment secrets); experience containerizing with Docker. · Comfortable reading technical manuals/logs and collaborating with non-software teammates. Nice to haves · Worked with agent frameworks (LangGraph, AutoGen, CrewAI) or implemented tool-calling/plan-execute loops. · Built or configured MCP servers to connect LLMs to internal data/tools. · Experience parsing complex docs (e.g., Unstructured, GROBID) and handling images/figures from manuals. · Exposure to semiconductor equipment or factory systems (SECS/GEM, EDA/Interface A, MES, SPC); familiarity with KLA/AMAT/TEL/ASML tool ecosystems. · Time-series and log analysis (Pandas, SQL, TimescaleDB/InfluxDB), wafer map/vision background, or simple CV. · Model adaptation experience (LoRA/QLoRA, PEFT) and experiment tracking (MLflow/W&B). · LLM observability/evals (Ragas, TruLens, LangSmith), basic security/PII handling, and role-based access. · Cloud familiarity (AWS/Azure/GCP) and lightweight front-ends (React/Next.js) for internal tools. · Prior work on fleet-level dashboards/analytics or recipe/parameter management. What success looks like (first 90 days) · Ship a search+chat knowledge assistant over our internal docs with clear eval dashboards for faithfulness/relevance. · Stand up at least one MCP connector to an internal source (e.g., SharePoint/Confluence or log store) and demo safe tool calls. · Deliver a focused POC: e.g., an agent that reads recent alarms & logs to suggest next steps, or a fleet health summary with links to playbooks. · Document everything (design notes, runbooks, and “how to” guides) and gather field feedback for iteration. How we work · Pragmatic, security-minded, iterate-in-the-open with our engineers. · We value curiosity, clear writing, and the grit to trace weird edge cases in logs and manuals. Apply Send your resume/GitHub/portfolio and a short note about an LLM or agent project you've built (what made it work, what you measured, and what you'd improve). Qualifications see above Onto Innovation Inc. offers competitive salaries and a generous benefits package, including health/dental/vision/life/disability, PTO, 401K plan with employer match, and an Employee Stock Purchase Program (ESPP) along with health & wellness initiatives. We provide a collaborative working environment along with resources, and state-of-the-art tools & equipment to promote success; and a welcoming, inclusive corporate culture where individuals are recognized for their contributions. Onto Innovation Inc. is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. For positions requiring access to technical data, Onto Innovation Inc., Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process.

We are looking for an energetic, detail-oriented front-end software developer to join a talented team of product marketers, software developers, and designers building browser extensions for some of the world's most well-known airline and bank rewards programs. As a front-end developer, you will support the delivery of a robust roadmap of new consumer facing product launches and feature enhancements. Responsibilities include: Design, document, and write code to technical specifications to implement high performance browser extensions Work closely with Product Managers to define and refine the product requirements Develop supporting functional and unit tests, and collaborate with QA teams to ensure proper test coverage Responsible for fixing bugs and writing feature enhancements Requirements: 3+ years of relevant experience in the design, development, documentation, and deployment of client-side software Strong skills in Javascript, HTML, and CSS Familiar with source code control management systems, including branching and merging of code Strong understanding of and experience with all stages of software development lifecycle, including requirements analysis, design, development, integration, verification, deployment, and sustainment Strong attention to detail, ability to multi-task, prioritize, and problem solve Good verbal and written communication skills Minimum of BS/MS in Computer Science or a related field, or equivalent experience Desirable Skills: Experience with VueJS javascript framework Experience with ES6 Experience with Webkit Experience with Chrome Webstore Experience using Agile/Scrum development methodologies Experience with Atlassian tool suite (JIRA, Confluence) is a plus At Cartera Commerce, our employees are our most valuable assets - they are Cartera. We want you to succeed and go far here. Our dynamic environment lets you be you, while still collaborating toward team success. We want fun, proactive, high-energy individuals to join us in making people happy. Cartera Commerce offers competitive compensation packages including stock options, medical and dental insurance, matching 401(k), company-paid holidays, and five weeks of paid time off per year. At Cartera Commerce everyone is empowered and responsible for innovating, building, and producing.

Responsibilities Serve as “hands-on” Manufacturing Engineer on project team dedicated to assembly of lithium ion and lithium metal batteries Design and implement tools and processes to manufacture new products Identify continuous improvement opportunities and lead changes to improve product quality Identify and implement new equipment and processes Develop process parameters for a variety of manufacturing assembly operations, including heat sealing, laser welding, laser cutting, ultrasonic welding, resistance welding, and battery winding Train technicians with assembly techniques; some "hands-on" assembly work may be required Perform equipment setup and minor equipment repairs Troubleshoot assembly issues and implement corrective actions to minimize recurrence Assist with product design decisions and changes Develop comprehensive work instructions and process controls Generate and implement work area layouts / participate in 6S initiatives Prepare and present technical presentations to customers as it relates to product line issues Requirements B.S. in Manufacturing / Mechanical Engineering or Engineering Technology required. 2 years minimum experience working in a manufacturing environment. Experience with tool design (SolidWorks preferred), process parameter development, machining equipment operation, and laser welding highly desired Ability to interact with various departments and good verbal and written communication skills. Creative thinking, self-motivating, problem solving skills, and a desire to remain current with emerging technologies. Solid mechanical aptitude and proficiency in the use of hand tools. $85,000 - $120,000 a year

Job Title: Manufacturing EngineerLocation: Sparks MD Job Summary: We are seeking a skilled Manufacturing Engineer with a strong background in government contracts. The ideal candidate will have experience in manufacturing processes, with a preference for expertise in SolidWorks and knowledge of battery or fuel cell technologies. You will be responsible for developing, implementing, and improving manufacturing processes to meet our clients' needs while ensuring compliance with government regulations and standards. Key Responsibilities:Develop and optimize manufacturing processes to improve efficiency, reduce costs, and ensure product quality.Collaborate with cross-functional teams, including design, quality, and production, to ensure seamless integration of manufacturing processes.Utilize SolidWorks for designing, testing, and validating manufacturing equipment, tools, and fixtures.Lead the implementation of new technologies and manufacturing methods, with a focus on battery and fuel cell production.Ensure compliance with government regulations, industry standards, and company policies in all manufacturing activities.Conduct root cause analysis and implement corrective actions to address manufacturing issues and improve process reliability.Develop and maintain detailed documentation of manufacturing processes, procedures, and work instructions.Train and mentor production staff on best practices and new manufacturing techniques.Collaborate with suppliers and vendors to source materials and components that meet quality and cost requirements. Qualifications:Bachelor's degree in Manufacturing Engineering, Mechanical Engineering, or a related field.Minimum of 3 years of experience in manufacturing engineering, with a focus on batteries or Fuel Cells.Proficiency in SolidWorks or similar CAD software.Experience with battery or fuel cell technologies is highly desirable.Strong knowledge of manufacturing processes, lean manufacturing, and continuous improvement methodologies.Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.Familiarity with government regulations and standards related to manufacturing. Preferred Qualifications:Experience with automated manufacturing processes and robotics.Six Sigma or Lean Manufacturing certification.Master's degree in Manufacturing Engineering or a related field.$80,000 - $115,000 a year

Project

Project Engineer Responsibilities: Preparing quotations for customers based on specified technical requirements Preparing, scheduling, coordinating, and monitoring of assigned engineering projects. Preparing bills of materials to hand over to the production team for assembly Identifying and improving documentation and processes associated with quotation and production workflow Interacting with clients, interpreting their needs and requirements, and ensuring their requirements are properly translated to the production team. Performing quality control tasks on budgets, schedules, and plans, and reporting on the project's status. Cooperating and communicating with the production team and other project participants and collaborating with senior engineers to create more efficient project methods and to maintain the project's profitability. Reviewing the engineering tasks and initiating the necessary corrective actions. Developing specifications for the project's needed equipment. Creating frameworks to measure the project's metrics and data collection. Establishing field test methods and methods for monitoring the quality of those tests. Ensuring the project's compliance with the applicable codes, practices, policies, performance standards, and specifications. Project Engineer Requirements: A bachelor's degree in mechanical engineering or a related field. Excellent computer literacy and knowledge of design and visualization software. The ability to work with multiple discipline projects. Excellent project management and supervision skills. Excellent organizational, time management, leadership, and decision-making skills. Strong written and verbal communication skills. Knowledge of applicable codes, policies, standards, and best practices. Ability to work in a fast-paced environment and handle a wide range of responsibilities