Systems engineer jobs in Lakewood, WA - 1,431 jobs

Amazon LEO is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Amazon LEO will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity. As a Sr. Mobility Terminal System Engineer, you will be responsible for mobile terminal architecture, integration, and validation with hardware, software, and firmware. You will work in a collaborative environment with a multi-disciplinary team. Key job responsibilities In this role, your responsibilities include: - Develop mobile terminal architecture by working closely with sub-system engineers in electrical, RF, antenna, thermal, modem, DSP, ASIC, algorithm, firmware, modeling, and software - Design tradeoffs of various terminal architectures, including RF and performance simulations to support tradeoff decisions - Develop the mobility lab so aviation, maritime, and automotive terminals can be validated both in lab environments and with LEO satellites - Proactively engage with internal and external development partners on systems' hardware and software architectures and implementation - Ensure delivered work meets technical, functional, performance, regulatory, and business requirements - Perform in-field and on-orbit validation with satellites - Traveling up to 10% of the time, depending on project phases Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. A day in the life As a Sr. Mobility Terminal System Engineer on the Leo Customer Terminal (CT) team, you will work daily with electrical, hardware, RF, antenna, silicon, and product design engineers, as well as software and operations teams in a collaborative environment. Your focus will be on architecting, integrating, and validating the mobility terminal's system-level performance so it can be successfully productized for aviation, maritime, and automotive customers. About the team The Leo Customer Terminal team is responsible for developing both outdoor & indoor devices, enabling customers internet service via the Leo satellite network. We own the entire process from early prototypes through mass production including requirements documents, architecture definition, hardware development, and all integration/verification testing. Basic Qualifications - Experience defining system architectures and exploring technical feasibility tradeoffs - Bachelor's degree in electrical engineering, computer engineering, computer science, physics, or other relevant engineering discipline - 5+ years of satellite terminal development, integration, and validation experience - 3+ years of hardware design and validation of components and subsystems experience - Strong understanding of communication systems, RF, and phased array antenna - Experience in MATLAB, Python or C+- Familiarity with test instruments such as oscilloscope, spectrum analyzers, vector signal analyzers, vector signal generators, channel emulators, network emulators, and GNSS emulators - Experience in developing complex telecommunication, antenna, and/or satellite communication systems - Experience in developing mobility terminals Preferred Qualifications - Master's or PhD degree in Electrical/Computer Engineering or other relevant engineering discipline - Knowledge of digital communication systems, error correction, synchronization, spread spectrum, single and multi-carrier techniques, and modulation types such as QPSK, APSK, and QAM - Experience working with mobility satellite terminals such as maritime, aeronautical, and automotive - Understanding of free space communication and satellite link budget principles in Ka-band - Experience in developing simulation and modeling tools - Familiarity with active and passive RF components, EE hardware, beamforming circuits, and electromagnetic propagation - Satellite over-the-air communication field trial experience - Debugging skills for systems integration from RF front end to baseband - Design experience with high-speed digital and/or RF circuitry in collaboration with various teams Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,100/year in our lowest geographic market up to $235,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.

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

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 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 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

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

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

A leading travel technology company in Seattle is seeking a Machine Learning Engineer III to oversee projects and mentor junior engineers. You will develop and optimize software applications using machine learning methods, particularly with libraries like PyTorch and TensorFlow, while collaborating closely with cross-functional teams. This role requires at least 3 years of experience in machine learning pipelines, as well as a Bachelor's or Master's degree in a technical field. The position offers a competitive salary range of $146,000 to $204,500, with potential performance-based increases. #J-18808-Ljbffr

At Promethean... We're on a mission to transform the way people learn and collaborate around the world. For over 25 years, we've been empowering educators, innovators, and business leaders with our award-winning interactive displays and software solutions that transform learning and workspaces into connected, creative environments. Our company is rooted in our values, igniting a culture that fosters collaboration and innovation, as well as promoting an inclusive environment. As a global leader in edtech, we are also passionate about four key areas where we can make a difference: growing access to technology for underserved communities, encouraging our employees to take an active role in improving our world, promoting diversity and inclusion, and reducing our carbon footprint. Discover more about our corporate social responsibility initiatives. As a member of #TeamPromethean, you'll have the opportunity to change lives with technology and directly impact education and the workplace for countless people every day. If you're passionate about education, collaboration, and making a positive global impact, we want to hear from you. Join us on our mission to transform the world, one student, one teacher, and one community at a time. The Manager III, GTM Systems & Operations combines people leadership with process and systems expertise to drive operational excellence across the go-to-market organization. This role leads a team of Sales Operations Analysts and ensures GTM processes and tools-such as Salesforce, HubSpot, Outreach, and CPQ-are optimized for scalability, efficiency, and data integrity. The position emphasizes team development, process governance, and cross-functional alignment to enable revenue growth and informed decision-making. Responsibilities: Lead and develop a high-performing team of Sales Operations Analysts through coaching, workload prioritization, and performance management to deliver reporting, forecasting, pipeline management, and system support. Own GTM process governance and optimization, ensuring workflows (lead routing, opportunity management, renewals, forecasting) are documented, efficient, and aligned with business objectives. Maintain accountability for GTM systems ecosystem (CRM, CPQ, marketing automation, sales engagement tools) with a focus on scalability, data integrity, and user adoption-not just technical configuration. Partner cross-functionally with Sales, Marketing, Finance, RevOps, and Customer Success to align systems and processes with revenue strategy and operational goals. Oversee reporting and analytics frameworks, ensuring dashboards and insights are accurate, actionable, and support leadership decision-making. Drive continuous improvement initiatives across GTM processes and tools, identifying opportunities to enhance efficiency, user experience, and data reliability. Manage vendor relationships and tool evaluations, ensuring new technologies and enhancements meet evolving business needs. Requirements: 5-7+ years of experience in Sales Operations, Revenue Operations or GTM Systems management. Deep expertise in Salesforce CRM (admin/config; coding a plus) and hands-on experience with one or more GTM tools, including HubSpot, Outreach, Marketo, Gong, CPQ platforms, and BI/analytics tools such as Tableau, Power BI, or Looker. Proven experience leading teams and managing cross-functional projects. Strong understanding of SaaS GTM processes, including lead management, opportunity progression, closed-won, and renewal workflows. Analytical and problem-solving skills, with the ability to translate complex business requirements into scalable system solutions and process improvements. Hands-on, builder mindset with strong attention to detail, curiosity, and a focus on continuous improvement across systems and workflows. Excellent communication and collaboration skills, capable of influencing stakeholders across functions. Base Range: $ 104,000 - $131,000 + Bonus Eligible For business reasons, Promethean does not employ individuals who work remotely in San Francisco, San Jose or Oakland. Promethean provides a comprehensive and competitive benefits package that offers the flexibility and security to thrive both inside and outside of work. Our benefits include: * Medical, Dental, and Vision Insurance * Spending Accounts (FSA and HSA) * Disability Programs * 401(k) Retirement Plan with Matching * Generous PTO and Holidays * Paid Maternity and Parental Leave Program with Child Care Subsidy * Paid Volunteer Time Off * Reward and Recognition Program * Well-Being Programs (For example, company-wide health challenges) * And more! Promethean is honored to be an equal opportunity workplace. We realize that by creating teams rich in diverse thoughts and experiences, our people, company and customers are free to thrive. We are committed to providing equal employment opportunities regardless of race, color, national origin, religion, creed, genetic information, sex (including pregnancy, sexual orientation or gender identity), age, marital status, disability, military or veteran status; or any other protected classifications or characteristics under applicable local laws. In addition, Promethean values privacy and the protection of personal information. For information regarding personal information we collect and our use of such data please see our privacy policy: 2I83hwP Please contact if you have an accessibility request at any point during the hiring process. #Promethean #EdTechJobs

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

TITLE: Systems Engineer LOCATION: Seattle, WA (hybrid remote and in office) TRAVEL : Work assignments assume 10% or less travel (unless as otherwise agreed at the start of the assignment) OVERVIEW SeaTec is an exceptional and sought-after workplace, driven by our mission to deliver excellence and delight our customers through innovative problem-solving. Our focus on unleashing the potential of our people creates an environment where top talent can thrive both professionally and personally. As we navigate complexity, integrate operations and technology, and prioritize diversity of thought, we empower our teams to exceed expectations. By fostering deep connections, building trust, and acting with integrity, we build high performing teams that drive individuals to achieve their fullest potential. Join SeaTec, where your skills and passion can make a lasting impact in an environment that values excellence, growth, and meaningful connections. The Aerospace & Defense department at SeaTec is focused on delivering complex systems that are integral to today's commercial and defense airplanes. Leveraging their expertise in systems engineering and cybersecurity, they work on a range of responsibilities including systems architecture development, safety analysis, risk management, and ensuring compliance with industry-specific regulations. Their commitment to problem-solving, technical project management, and team leadership enables them to effectively address technical issues, optimize system design, and contribute to the development of secure aeronautic systems. RESPONSIBILITIES Systems architecture development, requirements definition & decomposition, concept of operations, model-based systems engineering (MBSE), validation and verification, development assurance, safety analysis, and systems integration Responsibility also includes project management, use and deployment of tools, technology and manufacturing assessments, and internal and external interactions Plan, execute, and troubleshoot complex systems integration to validate interface definition and system requirements of airplane network systems Perform risk management and trade study analyses Work with other teams to resolve technical issues Provide analytical and problem-solving skills to accomplish optimal system design and integration Compare actual results to baseline plan to assess project performance, efficiencies, productivity, and lessons learned EDUCATION & EXPERIENCE Experience with airplane software certification RTCA DO-178 Experience with airplane networks and communication systems Basic knowledge of network protocols, routing table definitions, and network architecture definitions Experience with test procedures, lab testing and troubleshooting Excellent verbal and written communications Experience with Development Assurance, Certification and Safety Analysis Customer focus and ability to jump to the hottest “fire” and contribute to problem solutions Bachelor's degree and 2-5 years' and/or advanced degree with < 2 years' experience. An accredited degree in engineering, computer science, mathematics, physics or chemistry. Preference for accreditation to come from ABET. Ability to support requirements management processes, tools, risk, issues, opportunity management and technology readiness assessment processes. Knowledge of requirements and risk management and trade study analyses. Responsible for supporting technical work which is performed in a team environment. Strong familiarity with MS Office Suite CULTURE CHECK At SeaTec, we embody a culture guided by our core values. To ensure alignment, we have carefully crafted the following questions. We encourage you to apply if you can confidently answer YES to these questions, demonstrating your connection to our core values: Are you a positive force who wants to make connections with people? (Core Value: Care for our people) Do you have a history of celebrating other's success and showing gratitude to others? (Core Value: Reward Performance) Do you instill trust, treat others with respect, and foster an inclusive and collaborative work environment? (Core Value: Integrity & Respect) Do you deliver on commitments, take ownership of projects and utilize a quality mindset to deliver excellence? (Core Value: Accountable & Customer Satisfaction & Own it) Are you able to set personal boundaries and find ways to enjoy your passions and have fun inside and outside of work? (Core Values: Live well, Have fun) Join SeaTec and become part of a vibrant and rewarding work environment where our shared values shape our success. EEO STATEMENT We value diversity and respect all individuals, which is reflected in our core values. We are an equal opportunity employer and comply with all relevant federal, state, and local laws regarding fair employment practices. We strictly prohibit and do not tolerate discrimination against employees, applicants, or any other person based on their race, creed or religion, color, national origin, disability, genetic characteristics, marital status, sex, gender, gender identity, gender expression, pregnancy, age, sexual orientation, military or veteran status, citizenship, status as a victim of domestic violence, or any other protected classification under relevant federal, state, or local laws. This policy applies to all aspects of employment, including hiring, promotions, and termination. We are committed to fostering an inclusive and accessible experience for all job seekers. Please contact us at ************* if you require reasonable accommodation.

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500 . Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description Location: Kirkland, San Diego or Santa Clara The Cloud Advancement Team (CAT) is a highly dynamic, technically advanced group focused on enabling customers' transition to hyperscaler cloud environments such as AWS, Azure, and GCP. Whether supporting net-new deployments or migrating existing services, CAT ensures optimal performance across infrastructure layers. This team serves as the frontline for system performance and hardware validation within the hyperscalers, driving innovation in server SKUs (CPU, memory, storage), working with Azure on integration issues, and collaborating with internal teams to ensure the service is scalable and supportable. CAT is not a traditional operations or ticket-handling team; instead, it's a hybrid group with deep engineering focus. The team is responsible for designing and validating hardware configurations, developing automation for deployment, and debugging complex infrastructure issues across hyperscale environments. Every day brings a new challenge - from scaling deployments to investigating deep system-level bugs - making this team ideal for problem solvers and cloud-savvy engineers. What you get to do in this role: Collaborate with cloud providers (Azure, AWS, GCP) to support migrations and new deployments. Design, test, and validate new server SKUs in partnership with Technical Account Managers and engineering teams. Build tools and automation to streamline server configuration, validation, and deployment processes before hand-off to Quality Engineering (QE) testing. Design and develop software integrations with cloud services and internal APIs to support automation of infrastructure operations. Automate server deployment and scaling processes using tools such as Puppet, Ansible, and Git. Troubleshoot and resolve tier-3 customer performance issues with a strong emphasis on debugging and root cause analysis. Act as a technical point of contact for hyperscaler integration issues, particularly for database nodes and performance validation. Balance short-term customer-driven priorities with long-term capacity planning and automation improvements Qualifications To be successful in this role you have: Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. Typically requires a minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years experience; or equivalent experience. Strong hands-on software engineering experience or infrastructure software development experience, with strong proficiency in Python, Go, or similar languages. Working knowledge of hyperscaler (GCP, AWS, or Azure) Proficient in Linux system administration and debugging. Experience with infrastructure automation tools (Puppet, Ansible). Solid scripting and automation skills with a developer mindset. Familiarity with Git and code-based deployment workflows. Ability to work in a fast-paced environment where priorities shift frequently. Excellent problem-solving skills, curiosity, and ability to work without a predefined solution path. Nice to Have: Knowledge of ServiceNow platform. Experience writing infrastructure tests or using test frameworks in a dev-oriented capacity. Background working on developer platforms, DevOps tooling, or internal automation systems. Exposure to infrastructure-as-code tools (Terraform, Ansible) from a software-centric perspect JV20 For positions in this location, we offer a base pay of $163,600 - $286,300, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

A leading technology company in Seattle is seeking a Sr Machine Learning Engineer for its AI and Machine Learning org. The ideal candidate will innovate in foundation models, particularly in audio data, and will design comprehensive data frameworks. You will collaborate with top researchers and have a significant impact on future products at Apple. The role offers a competitive salary and comprehensive benefits package, including stock options. #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 travel technology company in Seattle is seeking a Machine Learning Engineer III to design and scale intelligent systems for their global travel marketplace. You will collaborate with cross-functional teams to optimize real-time pricing and inventory and develop models that enhance trust across the service. The ideal candidate will have strong experience in software engineering and a passion for applying machine learning in complex systems. #J-18808-Ljbffr