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HomeCompaniesAxonSr. Full Stack Member of Technical Staff

Sr. Full Stack Member of Technical Staff

Axon · Seattle, Washington, United States · Remote · Active · $159,750–$255,600 / year · Greenhouse

Job facts

FieldValue
CompanyAxon
TitleSr. Full Stack Member of Technical Staff
Normalized title-
Department / team2014 Artificial Intelligence
LocationSeattle, WA, United States
Work modelRemote / Remote
Employment type-
Salary$159,750–$255,600 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-04-27 / 2026-05-29
Changed / last seen2026-06-03 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Axon.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Seattle.Open
Department jobsActive postings in 2014 Artificial Intelligence.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyAxon
Source3a332421-f226-48f9-b35b-1d1884a7a413
ATS providerGreenhouse

Description

Join Axon and be a Force for Good. At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact We are seeking multiple highly skilled Full-Stack members of Technical Staff (MTS) to join our CoreAI organization, driving end-to-end development of AI systems across Cloud, Edge Devices, Mission Critical and Robotics platforms. This role goes beyond pure research. You will operate across the full stack, from data, models, and infrastructure to system integration and production deployment, to deliver scalable, real-world AI solutions. You will work on cutting-edge applications spanning computer vision, NLU, multimodal AI (MLLMs), and GenAI, enabling intelligent perception, reasoning, and action in mission-critical environments. As a senior technical leader, you will partner closely with research scientists, machine learning engineers, hardware, firmware, and product teams to translate advanced algorithms into robust, production-ready systems that operate reliably at scale. Why This Role You will have the opportunity to own and shape end-to-end AI systems that operate in real-world environments, bridging the gap between cutting-edge research and impactful production deployment. This role is ideal for engineers who thrive at the intersection of AI, systems, and product, and want to build scalable, high-impact solutions across cloud and edge. What You’ll Do Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see https://www.axon.com/company ) US: Seattle, Boston, Scottsdale Responsibilities Own end-to-end system development across data pipelines, model development, evaluation, and deployment for AI-powered products. Design and build scalable, production-grade systems for real-time perception, multimodal understanding, and decision-making. Develop and deploy models across cloud and edge environments, including resource-constrained devices. Architect and optimize full-stack AI pipelines, including: Translate research advances in computer vision, NLU, GenAI, and multimodal LLMs into production systems. Collaborate cross-functionally with MLE, hardware, firmware, and product teams to integrate AI into real-world systems. Optimize solutions for hardware-specific acceleration (GPU, NPU, DSP) and edge deployment. Define and drive evaluation frameworks and metrics to ensure system performance, reliability, and safety. Lead technical direction for complex, ambiguous problems and influence system architecture across teams. Contribute to technical design docs, internal knowledge sharing, and long-term platform strategy. Basic Qualifications Master’s, or PhD in Computer Science, Electrical Engineering, or related field 8+ years (L8) or 10+ years (L9) of industry experience building production systems Strong programming skills in Python/C++ and experience with modern ML frameworks (e.g., PyTorch, TensorFlow) Proven experience delivering end-to-end systems from concept to production Deep expertise in one or more areas: Experience building and scaling distributed systems or cloud-based ML pipelines Experience optimizing models for latency, cost, and deployment constraints Preferred Qualifications Experience deploying AI both on Cloud (AWS, AzureML), edge devices (e.g., mobile, embedded systems, robotics platforms on Qualcomm, NVIDIA, Intel) Familiarity with hardware acceleration frameworks (TensorRT, ONNX, SNPE, etc.) Experience with real-time systems and streaming data pipelines Knowledge of multimodal data processing (vision, audio, text, sensor fusion) Experience with AWS or other cloud platforms for large-scale inference and training Strong system design and architecture skills across cloud ↔ edge environments Track record of technical leadership, mentoring, and driving cross-team initiatives Experience in privacy-preserving AI, security, or safety-critical systems Benefits that Benefit You Competitive salary and 401k with employer match Discretionary paid time off Paid parental leave for all Medical, Dental, Vision plans Fitness Programs Emotional & Mental Wellness support Learning & Development programs And yes, we have snacks in our offices Benefits listed herein may vary depending on the nature of your employment and the location where you work Location: This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesday through Friday, with flexibility to work remotely on Mondays. We believe connection fuels innovation, and our in-office culture is designed to support meaningful teamwork and mentorship. Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit https://www.axon.com/careers . Base Pay Range $159,750 — $255,600 USD Don’t meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve. Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Important Notes The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions. Some roles may also require legal eligibility to work in a firearms environment. We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at [email protected] or via our Axon Privacy Web Form . For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice. Axon’s mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon’s impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment. We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email [email protected]. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes. Phishing alert: Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process. All legitimate job openings are listed on our official careers page at https://www.axon.com/careers . If you receive a suspicious offer or outreach from an email address that is not @axon.com , or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to [email protected] .

Full job record

Job IDdac77838b4595dd2b494407c60354298b6e2f9ec
Org ID1ed7d0e2-c9a9-409b-ad86-d0f67e8136df
Source ID3a332421-f226-48f9-b35b-1d1884a7a413
Board ID3a332421-f226-48f9-b35b-1d1884a7a413
Providergreenhouse
Provider Job Key7715027003
TitleSr. Full Stack Member of Technical Staff
Normalized Title
Statusactive
Activeyes
Location TextSeattle, Washington, United States
Department2014 Artificial Intelligence
Team
Employment Type
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionWA
CitySeattle
Salary RawBase Pay Range $159,750 — $255,600 USD Don’t meet every single requirement
Salary Min159,750
Salary Max255,600
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://job-boards.greenhouse.io/axon/jobs/7715027003
Apply URLhttps://job-boards.greenhouse.io/axon/jobs/7715027003
First Seen At2026-05-29 22:40:28Z
Last Seen At2026-06-06 19:57:42Z
Last Checked At2026-06-06 19:57:42Z
Last Changed At2026-06-03 10:41:07Z
Inactive At
Source Posted At2026-04-27 16:18:21Z
Source Updated At2026-06-02 16:53:58Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=axon/date=2026-06-06/2026-06-06T19-57-40-684Z-a09cd8e0e9304feba41f7914b5fa4f0b871a2d72d4f469d6a8b4e07fcfd06c3c.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
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