Machining engineer jobs in Centennial, CO

Longmont Full-time Department: Data Center Engineering Join a multibillion-dollar global company that brings together amazing technology, people, and operational scale to become a powerhouse in the memory industry. Headquartered in Rancho Cordova, California, Solidigm combines elements of an established, successful technology company with the spirit, agility, and entrepreneurial mindset of a start-up. In addition to the U.S. headquarters and other facilities in the U.S., the company has international presence in Asia, Europe, and the Americas. Solidigm will continue to lead the world in innovating new Memory technologies with aspirations to be the #1 NAND memory company in the world. At Solidigm, we view problems as opportunities to define innovative solutions that hold the power to change the world and unleash the potential technological needs that the future holds. At Solidigm, we are One Team that fosters a diverse, equitable, and inclusive culture that embraces individual uniqueness and empowers us to bring our best selves to deliver excellence in support of Solidigm's vision and mission to be the go-to partner for optimized data storage solutions. You can be part of the takeoff of an innovative business that develops cutting-edge products, delivers strong business value for customers, provides an engaging workplace for its employees, and serves a greater impact on the world. This is a golden opportunity for the right applicant to join us and help design, build, and lead Solidigm. We want a diverse team of dedicated professionals who will not just be Solidigm team members but contribute to how we shape the future of the organization. We are seeking applicants who will grow and thrive in our culture; be customer inspired, trusting, innovative, team-oriented, inclusive, results driven, collaborative, passionate, and flexible. Job Description Come join our Data Center Engineering Team and work on one of the most advanced 3D-NAND and SSD technology portfolios in the world. As the global leader in the semiconductor industry, Solidigm possesses many industry-leading SSD technologies including the most capable Quadruple Level Cell (QLC) NAND Flash products. In this position you will join a fast-paced team developing new, cutting-edge firmware for Solidigm Solid State Drives (SSD). You will utilize and grow your experience in embedded architecture, external interfaces, and product constraints, along with the ability to develop architectures/features that meet these constraints while providing new value for the platform. You will use and gain experience in storage interface standards such as NVMe, PCIe, SATA, and SAS. The team utilizes Agile development methodologies, therefore, excellent communication skills and the ability to work closely with team members, both locally and across the organization is required. As a Firmware Engineer your regular responsibilities include but are not limited to: Develop, review, document, and maintain product source code in C/C++ Analyze and develop firmware per internal and external (customer) specifications Perform unit and system level testing including failure analysis and debug of product issues as part of development and validation phases Develop low-level firmware, system architectures, operating systems, device architectures, in partnership with hardware and ASIC design teams Cross multiple firmware disciplines to develop and grow across the entire SSD architecture Work with project stakeholders turning product requirements into development and validation plans Participate in and role model an Agile/Kanban development culture which emphasizes product quality, team accountability, and continuous improvement Coordinate priorities and activities with other engineering stakeholders to accomplish committed milestones A successful candidate will demonstrate: The ability to listen, understand and respond professionally to partner questions and issues while building trust Excellent written and presentation skills A history of self-starting and effective multitasking, with strong influencing and leadership skills Qualifications Candidates must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Requirements listed below would be obtained through a combination of schoolwork/classes/research and/or relevant previous job and/or internship experiences. Minimum Requirements: The candidate must have a bachelor's degree in Computer Engineering, Electrical Engineering or Computer Science or a related field 7+ years of experience in the following areas: Software or firmware development experience in an embedded systems environment with programming in C/C++ Embedded firmware development running in a real-time operating system (RTOS), with hardware and software interactions Firmware development environments including compilers, debuggers, emulators, and tool-chains Preferred Requirements: Storage industry (SSDs or enterprise storage) Embedded development techniques using hardware and firmware tools Structured software development and practices, analytical problem solving, innovation and a mindset of continuous improvement Enterprise storage interface protocols (e.g., SATA, SAS, PCIe, and NVMe) SSD or enterprise storage device security protocols and techniques (e.g., Opal, ESSC, and AES) Software/firmware development processes including workflow and continuous integration validation DevOps process strategies, tools and execution, from code check-in through Continuous Integration and Continuous Delivery Project planning, estimation, and risk management Customer requirements definition, clarification, and technical assessment Development of unit tests for code coverage and quality validation Additional Information The compensation range for this role is $132,940 - $199,800. Actual compensation is influenced by a variety of factors including but not limited to skills, experience, qualifications, and geographic location.

We are seeking experienced engineers to support our Engineering & Construction (E&C) team across renewable and thermal energy projects. These roles involve designing, modeling, developing, and testing machines, structures, and systems. Candidates will develop functional requirements, apply standard engineering principles, and evaluate designs for performance, cost, safety, and reliability. You will collaborate with project engineers, senior engineers, project managers, and construction managers in a fast-paced, supportive, and collaborative environment. Responsibilities: Provide civil engineering support for wind, solar, and battery installations. Plan, design, and support construction activities for renewable projects. Review engineering deliverables and resolve RFIs. Assist with contract negotiations and submittal reviews. Conduct local site visits and participate in project meetings. Preferred Skills & Qualifications: Self-managed and detail-oriented with strong communication skills. Familiarity with Google Earth. Experience with grading, drainage, and renewable energy projects. Background in DOT, government agencies, or civil contracting preferred.

Compensation: $110-130k Senior Endpoint Cybersecurity Engineer Inceed has partnered with a great company to help find a skilled Senior Endpoint Cybersecurity Engineer to join their team! This role plays a critical part in protecting endpoints and overall security posture. It's a mix of hands-on security operations, endpoint engineering, and strategic cybersecurity work. This is an opportunity to join a collaborative team, drive security improvements, and work with modern tools in a forward-thinking environment. Responsibilities: Operating, tuning, and maintaining endpoint security tools. Investigate and resolve security incidents. Manage and secure endpoint management platforms (SCCM/MECM & Intune). Handle daily operational tasks: patching, vulnerability remediation, log review, and health monitoring of all security solutions. Conduct and participate in vulnerability assessments, audits, and penetration testing activities. Deploy, integrate, and configure new security tools and enhancements. Prepare reports and dashboards for leadership on security posture and trends. Required Qualifications & Experience: Bachelor's degree and at least 5 years of experience in cybersecurity operations, IT risk, IT compliance, or similar environment. Hands-on experience with SCCM/MECM and Microsoft Defender. Experience with KnowBe4 security awareness training. At least one cybersecurity certification (Security+ preferred). Nice to Have Skills & Experience: Intune experience. Managed SIEM service experience. Experience with Proofpoint and Patch My PC. Exposure to or experience with a Managed SOC. NIST certifications or framework experience. Perks & Benefits: Comprehensive employee benefits package with several choices for greater flexibility. If you are interested in learning more about the Senior Endpoint Cybersecurity Engineer opportunity, please submit your resume for consideration. Our client unable to provide sponsorship at this time. We are Inceed, a staffing direct placement firm who believes in the possibility of something better. Our mission is simple” We're here to help every person, whether client, candidate, or employee, find and secure what's better for them. Inceed is an equal opportunity employer. Inceed prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

Country: United States of America Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance: TS/SCI - Current At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. As a Senior Platform Engineer, you will herald a transformative era in software engineering, one that underscores the integration of development and operations through a comprehensive Infrastructure platform. Platform engineers, with their wide-ranging technical and problem-solving skills, are shaping the future of software development to efficiently deliver high-quality, secure software, by providing automated services that enable SW engineers to focus on developing mission capabilities. The role's core responsibility is for providing the design, development, implementation, and integration of a computer/network/storage infrastructure, as well as support modernizing the program platform's over-arching design through new emerging technologies and use of DevOps/DevSecOps tools and automation in-order to streamline processes, enhance collaboration, and accelerate the release cycles, thereby driving efficiency and innovation. You will be on a team that is responsible for development and operational environments on a large program producing a critical, strategic national asset. This will include a mixture of hands-on keyboard engineering work as well as documentation and baseline control. NOTE This position will be filled onsite at the RTX Facility in Aurora CO. What You Will Do Support transitioning a system that is tightly coupled to the underlying infrastructure Assist with architecture, design, development, integration, and support of build, integration & test, and deployment pipelines Leverage company and industry best practices and capabilities to improve scalability, consistency, infrastructure efficiency, reduce deployment time, and automate configuration management Collaborate with software engineers, data scientists, and other agile development teams to design and implement robust platform solutions Integrate security and compliance into the platform with services such as encryption and access management Provide operational support for the platform Qualifications You Must Have Typically requires BS/BA Degree in Science, Technology Engineering Math (STEM) in Computer Science, Computer Engineering, Information Technology or Physics and a minimum 5 years of related work experience Experience designing, implementing, and integrating platform infrastructure services using technologies such as Kubernetes and Docker Experience with programming/scripting languages (E.g. Python, Java, Ruby, Bash, C++, C#, Go) Experience with RedHat Linux Current TS/SCI issued security clearance is required day 1. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Experience deploying, configuring, and supporting CICD Pipelines tools (E.g. Jira, Confluence, Bit Bucket, Jenkins, Artifactory, Gitlab) Experience with troubleshooting applications & infrastructure services on Linux based Operating Systems Experience with automation frameworks such as Terraform, Ansible, and Chef Experience developing, testing & delivering applications w/in a DevSecOps framework Background in COTS/FOSS product installation, configuration, and integration Must meet DoD 8570 IAT level II requirements (Security + CE or equivalent) Ability to obtain a CI Poly after onboarding What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation Learn More & Apply Now! Please consider the following role type definition as you apply for this role Onsite Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products This position requires security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: ************************************************ Location: Aurora, CO: ************************************************************* We Are RTX The salary range for this role is 82,000 USD - 164,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms

🚧 Now Hiring: Sr. Project Engineer | Gilmore Construction | Denver, CO Gilmore Construction is looking for a skilled Sr. Project Engineer to join our growing team! This is an exciting opportunity to lead impactful commercial construction projects across Colorado while working in a collaborative and inclusive environment. About the Role: In this full-time position, you will direct and coordinate all aspects of the project lifecycle-from preconstruction through closeout. You'll oversee budget, schedule, safety, quality, and team management to ensure successful delivery for our clients. We are especially interested in candidates with strong MEP coordination experience. Experience in data center construction or other mission-critical environments is a plus. Key Responsibilities: Lead day-to-day project operations, including planning, scheduling, and team leadership Manage contracts, budgets, subcontractors, and project documentation Ensure compliance with QA/QC and safety standards Foster client, architect, subcontractor, and vendor relationships Coach and mentor Project Engineers Qualifications: 5+ years in commercial construction, with at least 3 years in a Project Engineer role Deep knowledge of building systems and construction methods-especially MEP systems Experience with commercial construction; data center experience strongly preferred Proficiency with Procore and Microsoft 365/Copilot OSHA 30, Lean Construction, CPR/First Aid certifications (or willingness to obtain) Why Gilmore Construction? SBE, DBE, and MBE-certified general contractor 28 years of building Colorado's most meaningful projects Small, family-owned team of ~50 employees Committed to mentorship, community giving, and small business advocacy Join a team where your work has purpose-and your career has potential. 📩 Apply today or message us directly to learn more!

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together-while learning, having fun, and making a profound difference for the dreamers and builders in the world. We're seeking an Applied Machine Learning Engineer to spearhead the technical development of our first production-grade, agentic AI solutions. You will be a founding technical member of the AI Modernization charter, responsible for bringing AI models to life and demonstrating clear business value to customers. Your focus is on engineering building, reliable, and observable AI systems. What You'll Do: * Design, build, and deploy end-to-end generative AI applications and agents using modern frameworks (e.g., LangChain, LlamaIndex). * Implement and optimize Retrieval-Augmented Generation (RAG) architectures to ground models in customer-specific data. * Establish and execute evaluation frameworks (Evals) and A/B testing methodologies to measure model performance and guard against failure modes (e.g., hallucination). * Collaborate with the Integrations team to ensure AI solutions are seamlessly integrated into customer products and the DigitalOcean platform. * Work with the AI Product Manager to translate customer use cases into rapid, iterative AI prototypes and production pilots. What You'll Add to DigitalOcean: * 5+ years of experience as an ML Engineer, Applied Scientist, or Software Engineer specializing in AI/ML. * Proven experience deploying LLM/Generative AI models into production environments. * Expertise in Python and common data science/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face). * Solid understanding of MLOps principles and experience with version control, monitoring, and scaling AI services. * Strong background in prompt engineering, data preparation, and vector database technologies. * A portfolio or track record of translating cutting-edge models into tangible, applied business solutions. Compensation Range: * $227,040 - $283,800 * This is a remote role #LI-Remote #LI-SK1 Why You'll Like Working for DigitalOcean * We innovate with purpose. You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. * We prioritize career development. At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development. * We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences. * We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. * DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

**Role:** This Role is part of the Data Search and Mining group, the organization is responsible for providing high quality data for our Foundational Drive Model's training and evaluation at scale. We utilized Multi-Modality Model, VLM, MLLM to provide high precision search and mining solutions for AV training and evaluation. This role will play a critical piece on accelerating experiments on cutting edge search capability and SOTA models, then productionize them to company scale. Provide scalable and cost-efficient mining solutions that are able to handle PB-level data. Support key training and evaluation projects across the company. The specific duties may include Multi-Modality MLLM model evaluation, fine-tuning, deployment, as well as bulk inference. Evaluate data quality and improve it. Provide cost estimation and analysis. Build and Utilize AI-Agent capability. Support data pipeline orchestration on distributed backend system. **What You'll Do:** + Evaluate and apply SOTA multiple modality machine learning models to search and mining needs + Modern ML modeling skills, perform fine-tuning, evaluation + Integration with other company level infrastructure such as Data infrastructure, compute platform, labeling, as well as simulation + Strong software engineering (SWE) skills, focusing on distributed backend development, batch data processing + Support autonomous vehicle (AV) technologies, understand the data challenges in AV or Robotic industry + Enthusiastic to experiment and learn the latest AI development **Your Skills & Abilities** **:** + 4+ years of experience in the field of robotics or latency-sensitive backend services + Proven experience in machine learning and classification. Familiar with ML frameworks such as Tensorflow or PyTorch + Experience building highly performant ML and system pipelines + Strong programming skills in modern C++ or Python + Experience with profiling CPU and/or GPU software, process scheduling, and prioritization + Passionate about self-driving car technology and its impact on the world + Expertise in setting architectures that are scalable, efficient, fault-tolerant, and are easily extensible allowing for changes overtime without major disruptions. + Ability to design across multiple systems. Ability to both investigate in sophisticated areas as well as a good breadth of understanding of systems outside of your domain. + Ability to wear several hats shifting between coding, design, technical strategy, and mentorship combined with excellent judgment on when to switch contexts to meet the greatest need. + Experience working with Multiple Modality models **Compensation** **:** The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. + The salary range for this role is $134,000 to $205,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. + Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. + Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. **Remote:** This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times a week, at minimum. **Relocation:** This job may be eligible for relocation benefits. \#LI-MH2 **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Introduction IR Labs is the innovation lab inside Integrated Research where small, cross‑functional squads chase outsized, industry‑defining opportunities. We operate like a funded startup-rapid sprints, bold experimentation, zero bureaucracy-backed by the global footprint and resources of a public company. Our charter is simple: turn cutting‑edge AI research into products that customers can't imagine working without. We target the hardest problems in software and then move fast to ship solutions that create 10x impact. If you thrive on autonomy, crave world‑class technical challenges, and want to see your ideas hit production quickly, IR Labs is your launch pad. Join us and help build the future-one breakthrough at a time. Description What You'll Do Architect and lead the agentic LLM stack from research prototype to production-balancing state-of-the-art methods with latency, cost, and security. Train, distill, and align code-focused language models using LoRA/QLoRA, distillation, and RLHF/RLAIF to hit aggressive efficiency targets. Build secure multi-tool agents that orchestrate compilers, linters, search, and knowledge graphs via function-calling frameworks with strong guardrails. Generate and curate high-quality datasets via fuzzing, mutation, and self-instruct loops; close label gaps with active-learning and retraining. Enrich model inputs and evaluation with low-level code representations (AST, CFG, IR). Optimize inference and serving with modern stacks (TensorRT-LLM, vLLM, Flash-Attention) and deploy with resource isolation and quotas. Instrument and defend the agent runtime against prompt-injection and abuse, ensuring observability and compliance (SOC2/HIPAA/GDPR). Collaborate cross-functionally to translate needs into safe, reliable developer-facing features; mentor peers on LLM evaluation and deployment best practices. Skills And Experiences What You Bring to the Table 8+ years in ML with 5+ years in NLP/LLMs, especially code understanding/generation. Proven track record shipping agentic systems coordinating multiple tools/APIs in production. Expert in PyTorch (or JAX) with Transformers/PEFT; hands-on CUDA/Triton/XLA experience a plus. Demonstrated success compressing and distilling large models while preserving accuracy. Hands-on RL optimization (PPO/DPO/ReLoRA) for model/agent alignment under latency budgets. Experience with massive code corpora, retrieval pipelines, and data lake/vector store integration. Strong security mindset with prompt-injection defenses and red-teaming experience. Skilled in observability and cost tracking across GPU clusters. Clear communicator and mentor, able to bridge technical trade-offs for diverse stakeholders. Our job descriptions often reflect our ideal candidate. If you have a strong foundation of relevant skills and a passion for this field, we encourage you to apply, even if you don't check every box. What We Offer High Impact - Ship real features in weeks, not quarters Cutting-Edge Tech - Work to solve problems no one has cracked before. Remote & Flexible - Work from anywhere with a culture built on trust, autonomy, and balance. Growth & Ownership - Own features end-to-end, learn rapidly, and grow with the company as we scale. Top-Tier Compensation - Competitive salary, performance bonuses, equity upside, and strong benefits. Team & Culture - Small, senior team that values collaboration, creativity, and building something meaningful together. Medical, Dental, Vision Insurance. 401k with Employer Contributions. Paid Time Off & Birthday Leave. Health Savings Account (HSA) Contributions with High Deductible Health Plan. Short-Term/Long-Term Disability Insurance And more! Compensation Range $180,000 - $210,000 base $53,000 - $63,000 variable compensation Actual compensation offer to candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level. The pay ratio between base pay and target incentive (if applicable) will be finalized at the offer stage. At IR we celebrate, support, and thrive on difference for the benefit of our employees, our products, and our community. We are proud to be an Equal Employment Opportunity employer and encourage applications from all suitable candidates; we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.

As the world moves to a mobile-first economy, businesses need to modernize how they acquire, engage with and enable consumers. Prove's phone-centric identity tokenization and passive cryptographic authentication solutions reduce friction, enhance security and privacy across all digital channels, and accelerate revenues while reducing operating expenses and fraud losses. Over 1,000 enterprise customers use Prove's platform to process 20 billion customer requests annually across industries, including banking, lending, healthcare, gaming, crypto, e-commerce, marketplaces, and payments. For the latest updates from Prove, follow us on LinkedIn. Prove is driving the future of digital identity. We are looking for Provers who know how to make an impact. We're talking self-starting professionals who thrive in a fast-paced environment, process information quickly, and make intelligent decisions. The work is challenging and requires not only smart but natural curiosity and tenacity. Teamwork is also important to us - we work together and play together. Prove has big plans, and we're excited about the future. If this sounds like the place for you - come join our team! Title: Senior Machine Learning Engineer, Data Science Department: Data Science Reports To: Senior Manager, Data Science FLSA Status: Exempt Location: Denver, CO Job Summary As a member of the Data Science team, you will work closely with our product, cloud backend, engineering, and customer-facing teams to define what it means to have an effective solution, propose and implement models and algorithms for the solution, and build systems that automatically ensure the intelligence behind our products is operating as efficiently and effectively as possible. You will be responsible for understanding how the whole system works and helping to drive improvements. This is a critical hands-on role with a high degree of influence. We embrace our startup roots and are willing to wear whatever hat is necessary to make our team and products successful. Key Responsibilities: Design, build, and deploy end-to-end machine learning systems and data pipelines in a production environment. Lead the research and development of new models and algorithms that drive the core intelligence of Prove's products. Collaborate across teams (product, cloud backend, platform, data engineering) to define requirements and deliver solutions that improve system performance and efficiency. Serve as a technical leader, providing guidance on architectural design, best practices, and code quality across the team. Drive continuous improvement by owning the full lifecycle of models, from data ingestion and training to monitoring and maintenance. Exercise creative thinking and imagination to find solutions to hard problems Mentor other engineers and data scientists, fostering a culture of technical excellence and innovation. Strong passion for learning about our products and markets through in-house and external training. Qualifications and Experience: Required 5+ years of professional experience as a Machine Learning Engineer or in a similar role. Bachelor's degree in Computer Science, or a related field. Experience with public cloud infrastructure (AWS, GCP, Azure). Demonstrated experience with MLOps, including CI/CD pipelines, model versioning, and monitoring in a production environment. Strong software development principles and a track record of building scalable, reliable systems. Expert proficiency in Python and experience with machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). Proficient in machine learning and/or signal processing techniques Promote, maintain and enhance our cultural values of humility, passion, inclusion, and leadership. Strong passion for learning about our products and markets through in-house and external training. Experience in high-growth /pre-IPO Technology companies Preferred Experience in high growth /pre-IPO Technology companies Experience with model risk management This position description should not be considered the final description of the position. The position description is not intended to be an all-inclusive list of duties and standards of the positions. It should be assumed that we would, to some extent, structure responsibilities in accordance with the successful candidate's capabilities and changing business conditions. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor. The anticipated salary range for this role is $180,000-$190,000 plus variable commission / company bonus. Offered salary will be determined by the applicant's education, experience, knowledge, skills, geo-location and abilities, as well as internal equity and alignment with market data. Benefits & Perks for FTE Provers: Competitive salaries & Bonus Plan (for eligible roles) and Equity Plan Modern Health for financial, mental, and physical wellness 401(k) Retirement Plan & Match (US Offices) and Local Country Pension (International Offices) Unlimited Vacation and Flexible hours Comprehensive medical benefits for you and your family ❤️ Emotional & Physical Wellness - Access to wellness services (EAP & Prove Well-Being Reimbursement) Bottomless snacks & beverages for certain office locations Daily GrubHub stipend for lunch if coming into the office (US Offices) A great place to work and connect with other talented Provers like yourself! Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Prove we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Equal Opportunity Employment: Prove is an equal opportunity employer committed to providing equal employment opportunity for all people regardless of race, color, religion, gender or sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status or other personal characteristics Privacy & Data Protection: When you are applying for a job at Prove, we collect and use your personal information in the job application process. To understand more about how Prove uses your personal information, please see our Recruitment Privacy Policy on our website.

Role SynopsisThe Machine Learning Engineer will be responsible for implementing and maintaining data science models in bpx's machine learning studio. The role will be a subject matter expert in machine learning operations and the associated technology. This role will bridge the gap between pure data science and the computational requirements needed to meet business outcomes. The role will have the ability to guide bpx's data science journey in a nascent technology stack. The ML Engineer will have significant freedom and latitude to suggest and implement solutions. Key AccountabilitiesImplement data science algorithms in bpx's ML Studio SageMaker). Create systems and processes to monitor performance of ML algorithms in production. Serve as the subject matter expert of ML Operations and guides data scientists in the practical implications of model design Collaborate with the data engineering team to build and maintain data pipelines from systems like Snowflake and OSI PiPartner with bpx Architecture team to ensure endpoints, compute, and network considerations are built into solutions Takes initiative and stays up to date with the latest data science trends, techniques, and best practices, determining how to incorporate the most suitable practices in the department. Work as part of geographically dispersed team, effectively communicating prioritized business needs and prioritized project statuses. Design systems to balance cost and performance to meet business outcomes Essential Education and ExperienceA Bachelor's degree (Master's preferred) in Statistics, Mathematics, Computer Science, or any other related quantitative field. 7+ years in data science or related field, 3+ years of hands-on experience in machine learning operations. Proven track record of implementing and scaling models in an operations or customers focused company Strong programming skills: Python and Cloud Implementation ScriptingExperience with big data, real-time streaming data technologies, and cluster computing environments. Knowledge and exposure to cloud technologies, especially AWS. Must be legally authorized to work in the US without sponsorship. How much do we pay (Base)? $119,000-$140,000 *Note that the pay range listed for this position is a good faith and reasonable estimate of the range of possible base compensation at the time of posting. Why join our team? At bpx, we provide an excellent working environment and a reward and wellbeing package to enable your work to fit with your life. These can include, but not limited to, access to health, vision and dental insurance, flexible working schedule, paid time off policy, discretionary annual bonus program, long-term incentive program, and a generous 401K matching program. We support our people to learn and grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. We are committed to crafting an inclusive environment in which everyone is respected and treated fairly. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, perform crucial job functions, and receive other benefits and privileges of employment. Don't hesitate to get in touch with us to request any accommodations!

Bleum is a high technology company with 3 main lines of business. We began as a software outsourcing company with clients in West and development centers in China. We also are a provider of consulting services for customers of JDA, a top supply chain software provider. Our newest line of business that is our main growth driver going forward is designing, manufacturing and deploying advanced warehouse robotic systems. Job Description Help Bleum design the navigation method in our next generation robots. We will be experimenting with Lidar, Stereo Vision, SLAM, BlueTooth Beacon and others. Qualifications Have a masters or PHD in field relevant to machine vision or a demonstrated track of self teaching. We need you able to quickly demonstrate ability to do the basics like set up SLAM and build a map and create a simple route optimization algorithm. Additional Information It would be good if you have experimented with SLAM or other navigation methods.

Bleum is a high technology company with 3 main lines of business. We began as a software outsourcing company with clients in West and development centers in China. We also are a provider of consulting services for customers of JDA, a top supply chain software provider. Our newest line of business that is our main growth driver going forward is designing, manufacturing and deploying advanced warehouse robotic systems. Job Description Help Bleum design the navigation method in our next generation robots. We will be experimenting with Lidar, Stereo Vision, SLAM, BlueTooth Beacon and others. Qualifications Have a masters or PHD in field relevant to machine vision or a demonstrated track of self teaching. We need you able to quickly demonstrate ability to do the basics like set up SLAM and build a map and create a simple route optimization algorithm. Additional Information It would be good if you have experimented with SLAM or other navigation methods.

Machine Learning EngineerLOCATIONAurora, CO 80014CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARYWe are seeking a talented and innovative Machine Learning Engineer to join our team and help build intelligent systems that drive impactful business solutions. In this role, you will work with cutting-edge technologies to design, develop, and deploy machine learning models that solve complex problems and improve decision-making processes. You will collaborate with data scientists, engineers, and product teams to turn data into actionable insights and create scalable models that deliver real-world value. If you are passionate about artificial intelligence, data-driven solutions, and continuously learning in an evolving field, we'd love for you to be part of our team. *** Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positons. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals. We look forward to you joining our family. *** SIMILAR CAREER TITLESData Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML Researcher, Data Analyst, ect.DEGREE (Level Desired) Bachelor's DegreeDEGREE (Focus) Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.ALTERNATE EXPERIENCEGeneral comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit.POSITION RESPONSIBILITIES Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) Ability to design, implement, and optimize machine learning models and workflows Experience working with large, complex datasets Knowledge of data preprocessing and feature engineering Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure) Strong problem-solving skills and analytical thinking REQUIRED SKILLS Proficiency in programming languages (e.g., Python, R, Java) Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) Expertise in model evaluation techniques and metrics Strong knowledge of version control tools (e.g., Git) Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) Understanding of database technologies (e.g., SQL, NoSQL) DESIRED SKILLS Experience with natural language processing (NLP) Knowledge of deep learning techniques (e.g., CNNs, RNNs) Familiarity with deployment tools (e.g., Docker, Kubernetes) Experience with data augmentation and synthetic data generation Ability to collaborate in cross-functional teams (e.g., engineers, product managers) Knowledge of edge computing and model optimization for deployment PLUG IN to CYMERTEK - And design your future... YOUR FOREVER CAREER STARTS HERE Are you looking for more than just a job? Join a company where employees are treated like family, and your career is built to last. We are a growing small business and a trusted federal contractor offering full scope consulting services in information technology, cybersecurity, and analyst workforce development. At our company, you come first. We're committed to creating an environment where you'll thrive professionally and personally. We provide meaningful, challenging work using cutting-edge technologies while investing in your growth and success. With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional work-life balance, you'll feel valued every day. We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal, family-friendly, and designed with your well-being in mind. From employee and family events to career-long support, we create a community you'll never want to leave. Ready to make your next move the best one? Join us and experience the difference. BENEFITS Excellent Salaries Flexible Work Schedule Cafeteria Style Benefits 10% - 401k Matching (Vested Immediately) Additional 401k Profit Sharing 30 days Paid Leave/Holiday (No Use or Lose!) The day off for your birthday Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus) HSA/FSA AFLAC Long Term/Short Term Disability - 100% employee coverage. No cost to you. Life Insurance - 100% employee coverage. No cost to you. Additional Discretionary Life Insurance Paid Training No long, wordy reviews with tons of paperwork!!! Referral bonus program with recurring annual payments HOW TO APPLY Email us at ***************** or apply today: **************** Want to see what our employees think? Click here . EQUAL OPPORTUNITY EMPLOYER STATEMENT Cymertek is proud to be an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We embrace and celebrate differences in our employees, recognizing that a diverse workforce enhances our creativity, innovation, and overall success. At Cymertek, employment decisions are made based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws. We believe in creating an environment where all individuals are treated with respect and dignity, and where opportunities for professional growth and advancement are accessible to everyone, regardless of background or identity.

Frontera is reimagining how children with autism and other behavioral health needs get the care they deserve. We bring together world-class clinicians, technologists, and autism specialists to build cutting-edge AI tools that help care teams work smarter and spend more time with the children and families who need them most. Our platform is HIPAA-compliant and designed for the real-world needs of behavioral health teams - from psychologists to ABA therapists. By combining evidence-based care with powerful technology, we're expanding access to high-quality services for families everywhere. Our Mission Frontera exists to close the care gap: every child, no matter where they live, should be able to access effective behavioral healthcare. The Role We are looking for a highly skilled and versatile Senior Machine Learning Engineer to join our team and play a key role in architecting, developing, and scaling our AI and ML capabilities. You will lead the development of core systems, including our chatbot and other ML-powered products, while collaborating closely with clinicians, product managers, and engineers to solve complex real-world problems in pediatric behavioral healthcare. Responsibilities Lead the design, development, and deployment of ML/AI-powered systems, including chatbots, workflows, and backend infrastructure. Collaborate with ML researchers, product managers, and subject matter experts to translate prototypes into production-ready solutions. Build, maintain, and optimize scalable data pipelines, model training frameworks, and workflow orchestration systems (e.g., Temporal, Airflow, Vellum). Contribute to API/schema design, backend development (Python/Django), and web programming as needed. Troubleshoot and resolve complex technical problems across distributed systems and ML pipelines. Mentor junior engineers and help define best practices for engineering and ML operations within the team. Adapt to evolving project requirements in a fast-paced, early-stage startup environment. Qualifications 8+ years of experience in software engineering, with strong backend and web development experience. Proven expertise in Python, web frameworks (e.g., Django), GraphQL, workflow orchestration tools (e.g., Temporal, Airflow), and API/schema design. Hands-on experience with ML pipelines, model training frameworks, and cloud infrastructure. Experience working cross-functionally with product, engineering, and domain experts. Strong debugging skills and ability to tackle hard technical problems. Early-stage startup experience preferred, with flexibility, scrappiness, and willingness to pivot. Excellent communication, mentoring, and collaboration skills. Experience with LLMs, RAG frameworks, chatbots, or generative AI is a plus. We have determined a salary range for this position that takes into account several factors including experience, knowledge, education, skills, and abilities. Please note that the salary information is a general guideline and the exact salary will be determined based on the individual's qualifications and experience, with consideration given to the factors listed above. All full time employee benefits include a stake in shared success through stock options, health benefits, 401(k) plan, and responsible PTO. Expected salary range in Denver $180,000-$220,000 USD Why Frontera? Opportunity to be at the forefront of innovation in pediatric healthcare. Work on challenging and impactful projects that leverage cutting-edge technologies. Collaborate with a talented and passionate team in a fast-paced and dynamic environment. Make a real difference in the lives of children and families in rural communities. Competitive salary and benefits package. Join us in building the future of behavioral healthcare!

General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems. We have an exciting opportunity for a Machine Learning Engineer in Boulder, CO. The Autonomy and Artificial Intelligence Solutions Software group is charted to develop and deploy end-to-end autonomous systems that enable unmanned aerial systems (UAS) to execute autonomous missions. DUTIES AND RESPONSIBILITIES: Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms of limited scope. In product/systems improvement projects, uses machine language and statistical modeling techniques to include but not limited to decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy. In both theoretical development environments and specific product design, implementation and improvement environments, uses programming language and technologies to translate algorithms and technical specifications into code. Completes programming and implements efficiencies, performs testing and debugging. Completes documentation and procedures for installation and maintenance. Applies deep learning technologies to give computers the capability to visualize, learn and respond to situations of limited scope. Lead technical teams and scope challenging projects into executable sprints. Drive code reviews to help team adhere to general DevSecOps and MLOps best practices. Have a growth mindset and be comfortable in a setting where milestones shift often due to customer preferences or technology evolution. Adapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience. Interface with external vendors and partners to integrate their technology into the team's autonomy stack. Maintains the strict confidentiality of sensitive information. Performs other duties as assigned. Responsible for observing all laws, regulations and other applicable obligations wherever and whenever business is conducted on behalf of the Company. Expected to work in a safe manner in accordance with established operating procedures and practices. We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply. Typically requires a bachelors, masters degree or PhD in computer science, engineering, mathematics, or a related technical discipline from an accredited institution and progressive machine learning engineering experience as follows; five or more years of experience with a bachelors degree or three or more years of experience with a masters degree. May substitute equivalent machine learning engineer experience in lieu of education. Must have an advanced understanding of machine learning concepts, principles, and theory. Demonstrates the ability to follow and apply advanced machine learning knowledge, adapt cutting edge standard techniques, and utilize the required diagnostics, tools and equipment, while ensuring safety and regulatory compliance. Must be able to understand new concepts quickly and apply them accurately throughout an evolving environment. Strong communication, computer, and interpersonal skills are required to enable an effective interface with other professionals, to produce appropriate documentation, and to present results to a limited internal audience. Must be able to work both independently and on a team. Must have a demonstrated history of applying novel technical solutions in fast evolving product areas. Able to work extended hours as required. Ability to obtain and maintain a DoD security clearance is required.

As a Machine Learning Engineer at Plus One Robotics, you will develop and maintain the code and infrastructure responsible for collecting data from, training and deploying models to, and evaluating the behavior of our production warehouse pick and place robotics systems. Our installations perform over 1.5 million picks a day, ensuring a continuous stream of edge cases and distributional shift that are immediately handled by our human-in-the-loop system and must be incorporated into new autonomous models. We borrow heavily from open source and academic research communities and you will be responsible for adapting these cutting-edge techniques to our demanding industrial setting. Together with a team of architects, data scientists, theoreticians, and robot programmers, you will implement scalable, robust systems that serve our clients. Essential functions: Read, understand, and utilize 3rd party documentation of code (repos) and theoretical advances (papers). Build systems for functionality, scalability, and maintenance. Adapt machine learning algorithms and libraries (Deep Neural Nets, Reinforcement Learning, Imitation Learning) for our applications. Required Education, Experience, and Qualifications: 3 years experience or Masters + 1 year Skilled in Python, with familiarity with PyTorch, HuggingFace, LeRobot or similar libraries. Familiarity with cloud computing infrastructure such as GCP or AWS Excellent analytical and communication skills Preferred Education and Experience: 5+ years experience Previous work with industrial robots Position Type/Expected Hours of Work Full-Time 40/hours per week M-F, 9:00am-6:00pm. Travel Must be able to travel both domestically within the US and internationally (including the EU, Canada, and Australia) without any travel restrictions. May travel up to 20% of the time during deployments. Work Authorization Must be able to provide documentation that shows authorization to legally work in the U.S. Pay and Benefits: The salary for this role is dependent on experience. Depending on level of experience, this role starts at $110,000 per year and is a bonus eligible position. Plus One Robotics offers a wide range of employee benefits for our full-time positions including healthcare benefits, a flexible paid time off plan. professional development opportunities, and a paid maternity and paternity leave program. This role will be located in either our San Antonio, TX Headquarters or our Boulder, CO location. Applications will be accepted through the end of November 2025.

Description Position: Mechanical Engineer Experience: A minimum of 3+ years of experience working in opto-mechanical system design and integration. Minimum Education: Bachelor's Degree in Mechanical, Electrical or Optical Engineering, or related technical field. Location: Longmont, CO (onsite) Compensation Range: $100k - $160k depending upon experience and education. nLIGHT-DEFENSE Systems, Inc. is one of the nation's leading developers of High Energy Laser (HEL) weapon systems. HEL weapon systems are a top modernization priority of the Department of Defense. Located in Longmont, Colorado, nLIGHT-DS is a vertically integrated business that leverages internal capabilities - from semiconductor device through target identification and tracking - to develop systems that are both high-performance and cost-effective. We continue to invest in capabilities, facilities and technology to bring leading edge HEL solutions to the warfighter. The ideal candidate has a strong work ethic, is highly organized, self-motivated, enjoys working as a part of a team, and has an insatiable appetite to learn and adapt in a fast-paced environment while continuously contributing to our mission Mechanical Engineers at nLIGHT DEFENSE Systems, Inc. synchronize all mechanical, thermal, and packaging aspects of design and integration for complex High Energy Laser (HEL) weapon systems. We are developing rugged and compact HEL weapon system solutions that can operate and survive in challenging environments. We utilize analysis driven design and implement elegant athermalized and vibration-rugged solutions. We need motivated Mechanical Engineers that are excited about integrating HEL weapon systems and being part of that solution. All applicants must possess or be qualified to obtain a U.S. DoD Personnel Security Clearance. Preference will be given to candidates with an existing U.S. DoD Personnel Security Clearance. Further information on requirements to obtain a security clearance is available at: ************************************* Please review this information before applying. Job Description: Development of cutting-edge laser and electro-optical systems through rapid development of effective and robust mechanical system designs. Apply DFX and other design principals to create manufacturing-friendly, cost-optimized solutions that meet or exceed the functional design goals. Devise, design and build robust tooling and process equipment suitable for reliable high-volume manufacturing. Responsibilities: Design, analysis, and assembly of mechanical systems from concept through design finalization and integration. Required Experience / Capability: Commitment to Excellence. Attention to Detail. Pride in Workmanship. The ideal candidate has at least 3+ years of experience working in mechanical system design and integration. Ability to work in a dynamic and collaborative environment. Requirements change frequently and rapid-turn solutions must be developed frequently. Effectively manage schedule and priorities with minimal daily direction to meet mid to long-term schedule objectives. Experience using GitLab, Jira, or similar project management software. Experience with system level trade studies and documenting engineering decision making. Ability to architect design solutions from design requirements and stakeholder input. Experience breaking down larger scale system design and delegating engineering tasking to a diverse team of contributing engineers. Experience in SolidWorks. Ability to use hand calculations to verify design requirements. Exhibit strong troubleshooting skills. Expertise in fabrication and assembly drawing preparation for manufacturing (ISO and ANSI standards) including experience with version control and change record documentation. Experience in design for manufacturability and assembly (DFMA) Experience with various manufacturing techniques - machining, sheet metal, injection molding, etc. Additional Desired Experience / Capability: Experience in rugged design for optical systems including kinematic, flexure mounting and optical and structural adhesive mounting. Familiarity with implementation of electro-optical systems. Experience in optical system alignment and test methods. Experience in Opto-Mechanical Assembly, including receiving and inspecting components, dry-assembly, bonding. Experience in thermal management systems. STOP analysis (structural, thermal, optical performance). Experience in vibration test and analysis and isolation methods, in particular jitter analysis for opto-mechanical systems. Experience in finite element analysis (FEA) and modeling of vibration and thermal effects. Static structure, fatigue, random vibration, and modal analysis. Experience in computational fluid dynamics (CFD) analysis. Experience with MATLAB & LabVIEW. Experience in Adaptive Optical (AO) Systems and/or High Energy Laser systems. Exposure to MIL-STD-810 design and/or testing. Experience with operation of machining, welding, or fabrication equipment. Benefits Summary: 4 weeks of Paid Time Off per year 11 paid Holidays Employee Stock Purchase Plan Tuition Assistance Program Health (ACA Gold Plan), Vision and Dental Care paid by employer 100% for Employee and 75% for Dependents Paid Family Leave, Short and Long Term Disability paid by employer 100% Competitive 401k with company match and immediate vesting Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or age. For more information about our commitment to equal employment opportunity, please see this government poster: Know Your Rights: Workplace Discrimination is Illegal. If you are an individual with a disability and need a reasonable accommodation in the application or hiring process, please contact Human Resources at [email protected].

Northstrat is seeking an experienced Digital Engineering Modeler to join our dynamic prototype solution team. The Digital Engineering Modeler will support the agile development of modern software solutions that support the future Enterprise Systems Integration of space-to-ground systems for the National Customer. The ideal candidate will have extensive experience in applying model-based systems engineering best practices to create system structure and behavior diagrams, identify user and mission needs into software features for implementation, and document/manage the system architecture. This role demands a self-starter who can take loosely defined tasks and support the development team to deliver high-quality solutions. Key Responsibilities Develop Requirements, Block, Use Case, and Activity diagrams in collaboration with Mission Design Team as features and capabilities are defined, designed, and implemented. Collaborate with Mission Design Team to provide feedback and suggest recommendations on improvements to the Government provided models. Review and interpret Government provided models to ensure consistency and traceability throughout the system models Support the design, development, and implementation of robust, scalable, and high-performance software applications Support and participate in agile ceremonies throughout software development lifecycle. Support the entire product lifecycle, including but not limited to systems engineering documentation, requirements analysis, design, implementation, integration, test, deployment. Requirements Active or current Top-Secret clearance with SCI access and polygraph (TS/SCI with poly). 100% on-site, in-person work performance. Bachelor's degree in STEM or a related field, or equivalent experience. Experience: 5+ years of relevant experience to job summary and key responsibilities. Experience with Model Based Systems Engineering (MBSE) tools such as Cameo Systems Modeler Experience with space-to-ground systems, architecture, and interfaces. Experience with Command and Control (C2) and/or Mission Management (MM) software for space systems. Preferred Qualifications Experience with testing software applications (interface, functional, front-end, back-end). Experience using Atlassian products including Jira, Confluence, Zephyr. Experience in collaborating and interacting with geographically disperse teammates and stakeholders. Experience with or understanding of Intelligence Community (IC) processes, policies, and guidance. Familiarity with Customer's Enterprise Framework for deploying and delivering software and mission capabilities to the Product Baseline (Operational Baseline). Familiarity of agile software development practices (scrum and/or Kanban). Knowledge of Continuous Integration/Continuous Deployment (CI/CD) pipelines. Privileged User eligible (Security+ Certification or Customer accepted equivalent) Systems Modeling Language (SysML) Certified (Object Management Group (OMG) or equivalent) Benefits Work/Life Balance Northstrat values true work life balance. We offer power of choice benefits designed to best meet the needs of you and your lifestyle. Our benefits programs are designed to support and encourage wellness, healthy living, retirement investment, and lifetime learning. Pay Range There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. We also offer competitive compensation, benefits, and professional development opportunities. Please refer to our Benefits section for additional details. Flex Time Northstrat does not mandate specific working hours. Although project requirements may dictate schedules, a Northstrat employee is only required to work an average of 8 hours per weekday over the course of a month. For example: John worked 12 hours on June 1st to meet a project deadline. On June 15th, John only worked 4 hours because he left early for a long weekend. John's IBA was not debited for time off because flex time allowed him to carry over those 4 hours from June 1st. Individual Benefits Account (IBA) To attract and retain the highest quality staff, Northstrat provides a unique and versatile benefits package, the Individual Benefit Account (IBA), which places the power of choice in the hands of our greatest asset - the employee. The purpose of the IBA is to provide attractive benefits to all full-time employees of Northstrat on a flexible basis that enables each covered employee to select a package that best suits his or her needs. Whether those needs are paid time off, medical expenses, prescription drug expenses, cash disbursement, or a combination of any of these, the IBA provides flexibility to help you meet your specific goals. The IBA can be used for such things as: IBA Benefits accrue each month in the amount equivalent to 50% of the employee's monthly compensation rate. That is, the effective dollar amount of this accrual is in addition to an employee's salary. Profit Sharing Plan (PSP) The PSP is a qualified retirement plan that Northstrat funds quarterly on the employee's behalf through the IBA in the amount equivalent to 25% (up to the IRS contribution limit) of the employee's compensation. That is, of the 50% accrual in the IBA, half of the amount accrued is applied to the PSP. Stock Options Because Northstrat is an employee-owned company, all new employees are offered stock options. Employees have the opportunity to receive additional stock options based on accomplishment of individual performance goals. Stock owners elect the Board of Directors and are directly impacted by the success of the company. Lifelong Learning Our culture promotes and nurtures a growth environment. We hire and scale rapidly to meet the needs of our partner customers. Through periodic company sponsored training events, and the ability to use IBA funds for reimbursement of work-related education expenses you will have the opportunity to continually grow your skills and abilities. Join Our Talented Team We hire the BEST employees and value each one. Since 2021, The Washington Post has recognized Northstrat among its "Top Workplaces". We think that your friends and family will like it here too, so we offer employee referral incentives. Northstrat is an Equal Opportunity Employer We are committed to fostering an inclusive, diverse workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, veteran status or other legally protected status.

Harris Group thrives on providing expert engineering for some of today's most complex challenges. We are creative in our approach by delivering multi-discipline services across a wide range of project types. Our successes are directly related to high-quality collaboration, across all offices, expertise, and backgrounds. Harris Group is a 100% Employee-Owned company with our eyes focused on the people in the company, the clients we serve, and the communities in which we live. Harris Group is looking for a Senior Mechanical Engineer to be based in our Golden, CO office. This role is responsible for providing professional engineering expertise to our projects that seek to positively impact both the community and the environment. The incumbent will work on innovative designs and see diverse projects through development, detailed design, commissioning, and construction support. What We Can Offer You * Variety of project types: Life Science, Industrial Manufacturing, Biofuels, Chemical Plants, Institutional, and Commercial Facilities * Work on multi-disciplinary teams, collaborating with engineers and architects from all engineering disciplines. * Ownership in Harris Group with line of sight to yours and overall company successes. * Career growth with opportunities to lead teams * Training & Education Assistance to support your career goals. * Flexible Work: Hybrid opportunities * A passionate team and collaborative environment focused on excellence in delivery. The Role This Senior Mechanical Engineer will work primarily on projects within industrial manufacturing, life sciences (biopharmaceutical), pulp and paper, and fuel terminal piping and tanks. Additional projects may include work within process industries, air and sea ports, energy, commercial development, and other business sectors. The ideal candidate will be entrepreneurial and self-motivated, passionate of the Mechanical discipline, and communicative with team members and clients. At Harris Group, you are an owner via our Employee Stock Ownership Program (ESOP) and have an opportunity to be a shareholder in the company based on embracing our values: * Think Like an Owner * Seek Shared Success * Doing the Right Thing * Embrace Hard Work * Pursuing Continuous Improvement * Designing Sustainably The Responsibilities * Serve as a technical resource on complex designs and advance engineering theories, concepts, principles, and processes. * Perform mechanical design, working with other members of the mechanical staff, and coordinate with other disciplines on specific projects. * Prepare design calculations and documentation that support the project design basis. * Prepare mechanical drawings, through the use of designers or drafters, and develop specifications. * Coordinate design with vendor supplied equipment. * Prepare equipment layouts and general arrangements. * Prepare construction bid packages and construction specifications. * Assist in preparation and presentation of proposals, including scope of services and fee estimate. * Support sectors with business development activities and proposal input. The Requirements Bachelor's degree in Mechanical Engineering and a minimum of 7 years of relevant experience. * Registration as a Professional Engineer (PE) is required. * Working knowledge of facility/building mechanical systems including HVAC and plumbing. * Familiarity with process system design and equipment including pumps, fans, heat exchangers, cooling towers, boilers, chillers, conveyors, and air handlers is also important. * Ability to identify, interpret and apply relevant codes and standards to engineering designs. * Ability to develop and maintain relationships with prospective clients, vendors, and constructors. * Proficient with MSOffice suite. * Experience with AutoCAD, CADWorx, or Revit, a plus. * Knowledge of Caesar (preferred) or Autopipe pipe stress software, desired. * Knowledge of PIPE-FLO preferred. * Ability and willingness to travel to an off-site location and/or accept client site assignments when required. Benefits * Salary Range: $120,000-$150,000/year depending on location, education, experience, and any certifications that are directly related to the position. * Benefits include health, dental, and vision insurance, life insurance, 401K retirement savings plan (with company matching), PTO & paid holidays. * Harris Group is proud to be an employee-owned company; the ESOP (Employee Stock Ownership Plan) provides an exciting employee wealth building opportunities of our employees. Equal Opportunity Employer Harris Group provides a competitive compensation and benefits package and is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ethnicity, religion, age, sex, sexual orientation, gender identity, disability, protected veteran status, or any other characteristic protected by federal, state or local laws. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Drug Free Workplace Harris Group, Inc. is a 100% drug free workplace. For the safety of our employees, customers, and our customer's facilities, we do a pre-employment drug test and may require random testing to meet specific client needs. Please note that Marijuana, even if prescribed by a physician OR allowed under a state law regulating Marijuana, remains illegal under federal law and is against Harris Group's policy. We look forward to receiving your resume!