Systems engineer jobs in Olympia, WA - 817 jobs

A leading tech company in Seattle is looking for an On-Device Machine Learning Integration Engineer. This role involves collaborating with ML engineers and data scientists to integrate advanced computer vision technologies into Apple devices. Candidates should possess a Bachelor's degree in Computer Science combined with programming expertise in Python, Swift, and C++. Experience with the machine learning lifecycle and knowledge of technologies like PyTorch is also essential. Attractive compensation and benefits are offered. #J-18808-Ljbffr

Job Title: Network Infrastructure Specialist (Construction & Operations) Regions: North Seattle/Lynnwood Department: Construction & Field Operations Reports To: Director, OSP Construction Job Type: Full-Time Salary: $80,000 - 100,000 DOE Position Summary: Intermountain Infrastructure Group (IIG) seeks a versatile and committed Network Infrastructure Specialist to support the construction, commissioning, and long-term maintenance of our fiber optic infrastructure. This dynamic role begins with hands-on field management during the construction phase and transitions into an operations and maintenance technician role upon project completion. This is a unique opportunity to engage across the full lifecycle of critical infrastructure deployment from design, permitting, and contractor oversight to ongoing technical support and emergency response. Phase 1: Construction Management (Initial 12-24 Months) Responsibilities: Oversee field construction of fiber optic networks, ensure work is on schedule, meets specifications, and is documented accurately. Act as the primary liaison with construction contractors; conduct regular job site inspections. Review and track permits, contractor deliverables, and inspection reports. Coordinate with project manager, construction contractors, and permitting consultants to resolve field issues and authorize changes. Maintain accurate field documentation and issue regular updates to internal stakeholders. Phase 2: Field Operations & Maintenance (Permanent Role) Responsibilities: Support ongoing maintenance and emergency repairs for communications infrastructure, including fiber optic cables and network equipment. Respond to outages, conduct site inspections, troubleshoot network issues, and coordinate timely resolutions. Implement and monitor preventive maintenance plans and safety procedures. Generate technical reports, analyze system data, and contribute to operational improvements. Remain available for on-call response as needed, including after-hours support. Qualifications: Applicant must already live in or be willing to relocate to the locale the job posting is associated with. • Education: (Preferred) - Associate's or Bachelor's degree in Construction Management, Engineering, or a related field; relevant certifications or equivalent civil construction experience will be considered. 5+ years' Experience in a field coordination, construction management, or construction role, preferably within the telecommunications or utility industry. Salary: Salary is dependent on the education, skills, and experience of the candidate. This role pays between $80,000 - $100,000 per year, DOE. Benefits: Comprehensive medical, dental, and vision. 401k Retirement Plan. Paid PTO and Holidays. Skills: Excellent written and verbal communication skills. Knowledge of fiber optic network construction, operation, troubleshooting, and maintenance practices. Strong interpersonal skills, with the ability to manage relationships with diverse stakeholders. Ability to read and interpret engineering drawings and specifications. Strong problem-solving skills and attention to detail. Knowledge of local permitting authorities, regulations and processes. Proficiency in using construction tracking software and tools. Work Environment: This position requires frequent field visits, which may involve travel, working in various weather conditions, and on construction sites. Flexibility in working hours may be required to accommodate project schedules and deadlines. *Equal Opportunity Statement: Intermountain Infrastructure Group, LLC complies with federal and state disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact ****************************** *Offers of employment will be made conditionally pending successful completion of background and MVR check.

Highspot is pioneering the category that is fundamentally changing the way companies increase sales productivity. On a mission to transform the way millions of people work with sales enablement, Highspot is committed to building breakthrough software with a spark of magic. We believe a great place to work is about more than the work - it's about what the company stands for, and how it authentically represents its values in the real world. To this end, we have put intentional focus on creating equitable workspaces for each of our employees. Our goal is to create a culture where everyone feels a deep sense of belonging and is empowered to be an agent of change, with the ability to transform themselves, their workplace, and their world. About the Role We are looking for a Principal Engineering Manager, Core Platform & AI Systems to lead one of the most critical engineering groups at Highspot. This team is responsible for building and scaling the core foundational systems that power the Highspot SaaS platform, including our storage systems, job orchestration frameworks, and AI/ML infrastructure. As a Principal Engineering Manager, you will play a key role in driving Highspot's long-term technology vision and platform strategy, while also ensuring day‑to‑day operational excellence. You will lead a team of highly skilled engineers, provide technical direction, collaborate across product and infrastructure organizations, and ensure that our core platform can meet the growing scale and intelligence needs of our customers. What You'll Do Lead and grow the Core Platform & AI Systems team Drive the technical roadmap for the platform, ensuring scalability, performance, availability, and cost‑efficiency. Partner closely with product engineering teams to deliver platform capabilities that unlock business features while simplifying the developer experience. Collaborate with Data Science, ML, and AI teams to provide robust ML Ops and AI infrastructure that enables rapid experimentation and production‑grade AI deployments. Own platform‑wide reliability and operational health, continuously investing in observability, incident management, and system resilience. Contribute to architectural decisions that shape the long‑term direction of Highspot's SaaS platform. Attract, retain, and develop top engineering talent, building a high‑performing and inclusive team culture. Communicate effectively with senior leadership, providing visibility into roadmap progress, technical trade‑offs, and organizational needs. Your Background 10+ years of software engineering experience with 4+ years in engineering leadership roles. Experience managing senior/principal engineers, ideally across multiple functional areas. Strong technical background in cloud‑native distributed systems, platform engineering, or AI/ML infrastructure. Proven track record of scaling SaaS platforms and leading teams responsible for mission‑critical backend systems. Experience working closely with cross‑functional teams such as Product, Infrastructure, AI/ML, and Security. Deep understanding of reliability, operational excellence, and cost optimization in cloud environments (AWS, Azure, GCP). Excellent communication, collaboration, and executive stakeholder management skills. Passion for developing people and building strong, healthy engineering teams. Nice to Have Experience with modern ML Ops platforms and serving frameworks. Experience in developer platforms or internal tooling teams. Experience in high‑scale SaaS environments with large enterprise customer bases. Why Highspot A fast‑growing SaaS company with market leadership and world‑class customers. An opportunity to shape the core technology foundation for Highspot's next stage of growth. A highly collaborative and supportive leadership team that values technical excellence and strong management. Competitive compensation, benefits, and career growth opportunities. Base salary range: $208,000 - $313,000 USD Employees may also be eligible for bonuses, stock options, and other forms of compensation. The above represents total expected compensation for this role. Actual compensation will depend on various job‑related factors, including, but not limited to, location, experience, and job qualifications. Highspot also offers the following employee benefits for this position: Comprehensive medical, dental, vision, disability, and life benefits Health Savings Account (HSA) with employer contribution 401(k) Matching with immediate vesting on employer match Flexible PTO 8 paid holidays and 5 paid days for Annual Holiday Week Quarterly Recharge Fridays (paid days off for mental health recharge) 18 weeks paid parental leave Access to Coaches and Therapists through Modern Health 2 volunteer days per year Commuting benefits Equal Opportunity Statement We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of age, ancestry, citizenship, color, ethnicity, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or invisible disability status, political affiliation, veteran status, race, religion, or sexual orientation. Did you read the requirements as a checklist and not tick every box? Don't rule yourself out! If this role resonates with you, hit the ‘apply' button. #J-18808-Ljbffr

A leading technology firm in Seattle is looking for a Principal Member of Technical Staff to support system design, debug and engage with customers on their AMD Instinct™ product line. This role involves leading hands-on validation efforts, optimizing Rack-Scale AI solutions, and influencing product roadmaps. The ideal candidate will have extensive experience in system architecture and debugging, along with relevant academic credentials. The position offers opportunities to mentor and drive technical excellence in a collaborative team environment. #J-18808-Ljbffr

A leading aerospace company in Seattle is seeking a Senior Fluids Design Engineer for the New Glenn program. The ideal candidate will have over 10 years of experience in fluids and thermal systems and a degree in aerospace or mechanical engineering. Responsibilities include designing and testing fluid systems, collaborating with teams, and conducting experiments. This role offers a competitive compensation package with benefits including medical and education support. #J-18808-Ljbffr

A leading global hedge fund in Seattle is seeking a Quantitative Developer to build critical trading infrastructure. You will collaborate with quantitative researchers and senior portfolio managers to optimize systems for trading strategies across global futures and equities. Candidates should have strong skills in React/Typescript and Python, paired with a Master's or PhD in a relevant field. This position offers significant career growth and impact in a dynamic environment. #J-18808-Ljbffr

A leading tech company in Seattle is looking for an innovative NLP researcher to advance its AI features in collaboration software. The ideal candidate will work on cutting-edge NLP research and technologies, aiming to optimize performance and scalability, while collaborating with product managers to implement features. Candidates are expected to have a strong educational background in computer science or related fields. This position offers competitive salary and comprehensive benefits. #J-18808-Ljbffr

About the team The OpenAI for Government team is a dynamic, mission-driven group leveraging frontier AI to transform how governments achieve their missions. Our team works to empower public servants with secure, compliant AI tools (e.g., ChatGPT Enterprise, ChatGPT Gov) and mission-aligned deployments that meet government technical requirements with strong reliability and safety. About the role Forward Deployed Engineers (FDEs) lead complex deployments of frontier models in production. You will embed with our most strategic government and public sector customers-where model performance matters, delivery is urgent, and ambiguity is the default. You'll map their problems, structure delivery, and ship fast. This includes scoping, sequencing, and building full-stack solutions that create measurable value, while driving clarity across internal and external teams. You will work directly with defense, intelligence, and federal stakeholders as their technical thought partner, guiding adoption, maximizing mission impact, and ensuring successful deployments at scale. Along the way, you'll identify reusable patterns, codify best practices, and share field signal that influences OpenAI's roadmap. This role is based in Washington DC, Seattle or San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required, including on-site work with customers. In this role you will Own technical delivery across multiple government deployments, from first prototype to stable production. Deeply embed with public sector customers to design and build novel applications powered by OpenAI models. Enable successful deployments across customer environments by delivering observable systems spanning infrastructure through applications. Prototype and build full-stack systems using Python, JavaScript, or comparable stacks that deliver real mission impact. Proactively guide customers on maximizing business and operational value from their applications. Forge and manage relationships with customer leadership and stakeholders, ensuring successful deployment and scale. Scope work, sequence delivery, and remove blockers early-making trade-offs between scope, speed, and quality. Contribute directly in the code when clarity or momentum depends on it. Codify working patterns into tools, playbooks, or building blocks others can use. Share field feedback with Research and Product to influence model and product development. Keep teams moving through clarity, judgment, and consistent follow-through. You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience, ideally in customer-facing or government environments. Active TS/SCI clearance or equivalent Have scoped and delivered complex systems in fast-moving or ambiguous contexts. Write and review production-grade code across frontend and backend, using Python, JavaScript, or similar stacks. Are familiar with cloud deployment models (Azure, AWS), Kubernetes, Terraform, and related infrastructure. Have experience building or deploying systems powered by LLMs or generative models, and understand how model behavior affects product experience. Simplify complexity, make fast, sound decisions under pressure, and communicate clearly across technical and non-technical audiences. Spot risks early, adjust without slowing down, and model calm judgment when stakes are high. Are humble, collaborative, and eager to help others with empathy. Operate with high horsepower, thrive in dynamic environments, and can ruthlessly prioritize across multiple projects. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Aff… Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr

A leading social media platform in Palo Alto is looking for a Technical Lead Manager in Ads Conversion Modeling. This role includes leading the User Match Prediction roadmap, developing conversion models, and partnering with various teams to drive performance. Ideal candidates have a strong software engineering background, machine learning knowledge, and 6+ years of relevant experience. The position offers a competitive salary and hybrid work flexibility. #J-18808-Ljbffr

A leading search AI company is looking for a Consulting Engineer - Search to help customers realize the value of their solutions. You will collaborate with various teams to deliver scalable architectures that enhance application performance and user experiences. The ideal candidate has over 5 years of experience in Enterprise Search technologies and excellent client interaction skills. This role is based in Seattle, WA, and offers flexible working arrangements. #J-18808-Ljbffr

About the company Braintrust is the AI observability platform. By connecting evals and observability in one workflow, Braintrust gives builders the visibility to understand how AI behaves in production and the tools to improve it. Teams at Notion, Stripe, Zapier, Vercel, and Ramp use Braintrust to compare models, test prompts, and catch regressions - turning production data into better AI with every release. About the role We are looking to hire a solutions engineer to partner with our sales team to navigate every part of the sales process. In this role, you'll working closely with technical stakeholders at companies ranging from small startups to massive enterprises. Our primary users are software engineers and PMs at world-class tech companies who are working to leverage GenAI. What you'll do Partner with our sales team to articulate the overall Braintrust value proposition, vision, and strategy to customers Own the technical engagement with customers and help close complex opportunities through advanced competitive knowledge, technical skill and credibility Deliver product and technical presentations to potential and existing customers Effectively communicate with customers and internal teams to provide feedback on our products and the competitive landscape Work with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles and create other public or private enablement material Ideal candidate credentials 5+ years of experience as a sales engineer or in solutions consulting Ability to connect a customer's specific problems to Braintrust's solutions Proficiency in Typescript and Python Has written prompts / tinkered with GPT models and apps Benefits include Medical, dental, and vision insurance Daily lunch, snacks, and beverages Flexible time off < Competitive salary and equity AI Stipend Equal opportunity Braintrust is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. #J-18808-Ljbffr

A global travel technology company seeks a Machine Learning Engineer III in Seattle. You will design ML-powered features to enhance the traveler experience while collaborating with cross-functional teams. The ideal candidate has a Bachelor's or Master's in a technical field and expertise in programming, machine learning engineering, and cloud services. Benefits include competitive salary, travel perks, and professional development opportunities. #J-18808-Ljbffr

As part of the Video Computer Vision (VCV) team, you will support our ML development and continuously improve our features. Working closely with ML algorithms engineers, data scientists and quality assurance teams, you'll help deploy state-of-the-art computer vision technologies on Apple devices, balancing performance with the compute and power constraints of on-device inference. Responsibilities Develop applications and tools for algorithm evaluation, prototyping, and technology demonstrations. Support teams across Apple by integrating ML and CV components into production systems. On-device integration of CV/ML algorithms. Minimum Qualifications Bachelor's degree in Computer Science or related discipline, and 2 years relevant industry experience. Strong foundational knowledge in Computer Science. Extensive programming experience in Python, Swift, C++. Experience working with PyTorch. Experience with machine learning model development lifecycle, including data preprocessing, model training, evaluation, and deployment. Foundational understanding of machine learning: ML algorithms and development pipelines, with the ability to work effectively with ML practitioners and integrate ML components into production systems. Preferred Qualifications Experience with CoreFoundation, RealityKit and CoreML. Hands-on experience with CI/CD pipelines and practices. Experience with live camera streaming applications: Understanding of real-time video pipelines, image transformations, and rendering loops. Familiarity with common computer vision techniques (e.g., object detection, segmentation, tracking, pose estimation), sequence models for real-time inference and LLMs optimized for on-device performance. At Apple, base pay is one part of our total compensation package and is determined within a range. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr

This role is part of the Lunar Permanence business unit, which develops Blue Origin's Blue Moon landers and related products. To further Blue Origin's mission of millions of people living and working in space for the benefit of Earth, we are building sustainable infrastructure for our transport of crew and cargo from Earth to the lunar surface. subsystem flight performance integration across MK2 mission phases. You will integrate attitude/pointing profiles, guidance and control performance, engine/thruster duty cycles and envelopes, prop system constraints, and mission timelines in collaboration with GN&C, Fluids & Propulsion, Power, Thermal, Avionics/Comms, Mass Properties, and Mission Operations. You will partner closely with the external Mission Design team to consume trajectory and ephemeris products and ensure all MK2 performance artifacts are consistent with the mission plan. You will work with technical integrators (Power, Thermal, Fluids & Propulsion, TPMs, Water/consumables) to deliver a single, internally consistent performance picture for design trades, verification, and reviews. Passion for our mission and vision is required!**Responsibilities include but are not limited to:**Define, derive, and track pointing and attitude-related requirements and TPMs: pointing accuracy/stability/jitter, slew rates and settle times, gimbal/actuator limits, keepout zones, FOV constraints, comm link geometry windows, solar incidence and powerpositive attitudes.Integrate analysis and test data: correlate models with subsystem and system tests (e.g., actuator dynamics, sensor performance, engine/transient behavior); update margins and uncertainties; capture verification evidence linked to requirements. Collaboration: Jama (requirements/verification linking), Jira (tasks and dependencies), Smartsheet/Baserow (structured registers), Confluence/SharePoint (artifacts and review prep); may coordinate with P6 schedulers (reader) for alignment to the IMS.**Minimum Qualifications:**6+ years of experience in flight dynamics, GN&C performance, or cross disciplinary systems integration on complex aerospace or spaceflight programs (8+ years preferred for senior ownership).Demonstrated experience integrating pointing/attitude performance across subsystems and coordinating with GN&C and propulsion/fluids teams.Proficiency in MATLAB and/or Python; ability to run and post process simulation campaigns and create clear visualizations.Experience producing review ready performance artifacts and presenting in major design/test reviews. Familiarity with collaboration and requirements tools (Jama, Jira, Confluence/SharePoint) and working with schedulers to align to an IMS. Ability to work on-site and collaborate across time zones; ability to travel as needed to company, supplier, test, and customer sites.**Preferred Qualifications:**Lunar or planetary mission experience (descent/landing, ascent, prox ops) and familiarity with propulsion transients, throttling envelopes, and RCS operations.Experience defining and managing pointing budgets and TPMs; translating performance risks into flight rules and test objectives.Familiarity with NASA lifecycle and standards (e.g., NPR 7120/7123), analysis deliverables, and CDRLs. * Required for all positions: Blue's Standard Background Check* Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation* Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing (CDL drivers only), vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training.* Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical* Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program.* Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.* Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company's intent to reward individual contributions and enable them to share in the company's results, or other factors at the company's sole discretion. Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details.Blue Origin was founded with a vision to enable a future where millions of people are living and working in space to benefit Earth. In order to preserve Earth, Blue Origin believes in the need to enable humanity to expand, explore, find new energy and material resources, and move industries that stress Earth into space. Blue Origin believes it has an important role in building a road to space and lowering the cost of getting there. At Blue Origin, we're working on this today by developing fully reusable launch vehicles and systems that are safe, reliable and affordable. Every launch vehicle is designed for human spaceflight from the beginning and able to ferry payloads to space. #J-18808-Ljbffr

A tech-focused organization is looking for a Forward Deployed Engineer to lead complex AI deployments with government clients. You will be responsible for managing technical delivery, embedding within client teams, and utilizing advanced AI technologies to solve critical challenges. Ideal candidates will have 5+ years of experience in engineering, a TS/SCI clearance, and a strong ability to communicate effectively while navigating fast-paced environments. This position allows for hybrid work with significant travel requirements. #J-18808-Ljbffr

Splunk, a Cisco company, is building a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. Come help organizations be their best, while you reach new heights with a team that has your back. Meet the Team Our Distinguished Engineer team drives architecture and technical direction for Splunk's $3.5B platform, ingesting petabytes of data for over 95% of the Fortune 100. As a tight-knit group of DEs reporting to the VP of Architecture, we operate autonomously while coordinating closely on practical, durable solutions that evolve the platform for future requirements. Each DE owns cross-organizational domains that shift fluidly as needs arise. Work alongside exceptionally smart engineers who value rigorous thinking and friendly collaboration-this is where the technical future gets defined! Impact: Architect and operationalize AI infrastructure as a core component of Cisco Data Fabric, enabling engineering teams to integrate AI capabilities across the world's largest, most diverse data sets. Design MLOps platforms that solve complex lifecycle challenges-managing embedding model migrations, version compatibility, and continuous model updates-while ensuring operational excellence through monitoring, governance, and serving at petabyte scale. Identify and drive new opportunities for leveraging AI across the stack, establishing consistent architectural patterns for agent prompts, tool integration, and model orchestration. Build data pipelines and operational frameworks that enable hundreds of engineers to confidently deploy both LLMs and traditional ML models into production. Success is measured by customer adoption and usage of AI-powered features, alongside operational metrics-model performance, inference latency, and deployment velocity-that directly impact customer value. Minimum Qualifications: * Bachelor's in Computer Science (or equivalent) with 15+ years of related experience; or Master's with 12+ years; or PhD with 8+ years or equivalent experience * Designed and deployed AI/ML infrastructure and features in production cloud environments * Experience with major AI services including OpenAI, Anthropic, HuggingFace, AWS Bedrock, Azure OpenAI Service, or similar platforms * Production experience with AWS, Azure, or GCP cloud platform * Led technical decisions and architectural direction across engineering organizations of 50+ engineers Preferred Qualifications: * Experience with LLM-specific infrastructure including agent frameworks, prompt management, and tool integration * Model serving at scale with experience in inference optimization and performance monitoring * Designed and deployed AI/ML infrastructure for on-premises environments * Experience with major ML frameworks (TensorFlow, PyTorch, etc.) and model formats * Proven track record mentoring and growing engineers, with strong collaboration skills Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $267,600.00 to $339,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $273,200.00 - $442,600.00 Non-Metro New York state & Washington state: $267,600.00 - $390,300.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

A leading technology company in Seattle seeks an experienced Machine Learning Engineer to develop and deploy cutting-edge AI models. This role emphasizes building robust ML infrastructure and automating pipelines for data and model management. Ideal candidates will have over four years of experience in machine learning and proficiency in programming languages like Java or Python. The position offers a competitive salary, comprehensive benefits, and opportunities for professional growth. #J-18808-Ljbffr

A leading aerospace company in Seattle is looking for a performance integration engineer to support lunar mission projects. This role involves defining and tracking pointing requirements, integrating analysis, and collaborating with various teams. The ideal candidate has over 6 years in flight dynamics, proficiency in MATLAB/Python, and experience with performance verification. This position offers competitive benefits and requires on-site work alongside a collaborative team. #J-18808-Ljbffr

Splunk, a Cisco company, is building a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. Come help organizations be their best, while you reach new heights with a team that has your back. Meet the Team Our Distinguished Engineer team drives architecture and technical direction for Splunk's $3.5B platform, ingesting petabytes of data for over 95% of the Fortune 100. As a tight-knit group of DEs reporting to the VP of Architecture, we operate autonomously while coordinating closely on practical, durable solutions that evolve the platform for future requirements. Each DE owns cross-organizational domains that shift fluidly as needs arise. Work alongside exceptionally smart engineers who value rigorous thinking and friendly collaboration-this is where the technical future gets defined! Impact: Architect and operationalize AI infrastructure as a core component of Cisco Data Fabric, enabling engineering teams to integrate AI capabilities across the world's largest, most diverse data sets. Design MLOps platforms that solve complex lifecycle challenges-managing embedding model migrations, version compatibility, and continuous model updates-while ensuring operational excellence through monitoring, governance, and serving at petabyte scale. Identify and drive new opportunities for leveraging AI across the stack, establishing consistent architectural patterns for agent prompts, tool integration, and model orchestration. Build data pipelines and operational frameworks that enable hundreds of engineers to confidently deploy both LLMs and traditional ML models into production. Success is measured by customer adoption and usage of AI-powered features, alongside operational metrics-model performance, inference latency, and deployment velocity-that directly impact customer value. Minimum Qualifications: Bachelor's in Computer Science (or equivalent) with 15+ years of related experience; or Master's with 12+ years; or PhD with 8+ years or equivalent experience Designed and deployed AI/ML infrastructure and features in production cloud environments Experience with major AI services including OpenAI, Anthropic, HuggingFace, AWS Bedrock, Azure OpenAI Service, or similar platforms Production experience with AWS, Azure, or GCP cloud platform Led technical decisions and architectural direction across engineering organizations of 50+ engineers Preferred Qualifications: Experience with LLM-specific infrastructure including agent frameworks, prompt management, and tool integration Model serving at scale with experience in inference optimization and performance monitoring Designed and deployed AI/ML infrastructure for on-premises environments Experience with major ML frameworks (TensorFlow, PyTorch, etc.) and model formats Proven track record mentoring and growing engineers, with strong collaboration skills Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada:The starting salary range posted for this position is $267,600.00 to $339,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next Additional paid time away may be requested to deal with critical or emergency issues for family members Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each 1% of attainment between 50% and 75%; 1% of incentive target for each 1% of attainment between 75% and 100%; and Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $273,200.00 - $442,600.00 Non-Metro New York state & Washington state: $267,600.00 - $390,300.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.