• Serve as a technical lead for SDS software across multiple components of the stack, setting direction for algorithms, architectures, and system interfaces across features and releases. • Own the end‑to‑end technical strategy for key SDS behaviors and features, spanning perception/prediction integration, planning, controls, and system‑level interactions. • Balance hands‑on technical work with cross‑team leadership: you will still design and implement critical components in modern C++, while also guiding other senior and mid‑level engineers to deliver at scale. • Collaborate closely with experts in perception , tracking, prediction, state estimation, localization, mapping, planning, controls, systems engineering, and safety to deliver robust, fail‑operational behaviors for Super Cruise and future products. • Define technical vision & architecture Set the technical direction for SDS software components with a focus on correctness, robustness, and predictable runtime behavior under tight latency and compute budgets. • Architect scalable, modular multi‑sensor perception pipelines for camera, radar, and lidar, including detection, classification, lane/road feature extraction, freespace /occupancy, and environmental context. • Establish and evolve interfaces and contracts between perception/prediction and upstream/downstream components (state estimation, localization, mapping, planning, controls, autonomy management). • Lead high‑impact projects Lead design and delivery of multi‑object tracking systems (e.g., Kalman/extended/unscented filters, IMM, probabilistic data association, track lifecycle management) that provide stable, high‑quality tracks under real‑world noise and edge cases. • Drive development and integration of short‑horizon motion prediction for vehicles, VRUs, and other actors using a mix of analytical models and ML‑based forecasting, including uncertainty modeling that enables conservative, fail‑operational decisions. • Evaluate trade‑offs between traditional computer vision/robotics and ML‑based approaches, choosing the right tool for the problem and ensuring solutions are production‑ready under latency and compute constraints. • Design and implement critical components in modern C++ (C++17 or later), with careful attention to memory management, concurrency, and real‑time behavior; use Python for tooling, data analysis, and ML experimentation. • Set and uphold high standards for software quality: clean, well‑documented APIs; rigorous code reviews; automated and regression testing; continuous integration; and rich logging and observability for on‑road incidents. • Profile and optimize SDS components to meet strict runtime performance, determinism, and resource‑usage requirements, using offline and online evaluation frameworks and metrics to guide iteration, regression detection, and performance tuning. • Work with state estimation, localization, mapping, and autonomy management partners to ensure SDS perception and prediction behavior supports reliable engagement and MRM in response to primary stack failures. • Partner with Safety and Systems Engineering to ensure designs and implementations align with functional safety , redundancy, and MRM requirements for fail‑operational, eyes‑off features. • Represent SDS perception and prediction in cross‑org technical forums , ensuring alignment with broader autonomy, platform, and hardware roadmaps. • Provide technical mentorship to other engineers, from onboarding to growing senior and staff‑level talent in perception/tracking/prediction and modern C++. • Lead and facilitate design reviews, incident post‑mortems, and cross‑team technical deep dives, raising the bar for clarity, robustness, and execution speed. • Help build a healthy engineering culture: pragmatic, data‑driven decision‑making; strong ownership; and a focus on safety, reliability, and customer experience.

En collaboration avec le CTO et l’équipe de R&D vous interviendrez sur les sujets suivants : - Étudier, concevoir, développer, tester et maintenir les composants techniques associés - Analyse des besoins et des contraintes techniques - Gestion de projet technique avec rédaction de spécifications, documentation et recette des livrables clients - Développement d’outils et de prototypes Notre stack-techno : - Aspnet core / Dotnet core - Angular - MAUI - MySQL - Azure: PaaS, SaaS, Serverless.

• Lead, manage, and grow two cross-functional teams (typically 2–3 engineers each) through 1:1s, continuous feedback, and structured performance management — including hiring, managing gaps, and career development • Own delivery outcomes across both teams: partner with Product and Design from discovery through rollout, negotiate scope, and course-correct quickly when problems surface • Provide architectural guidance across the full stack, ensuring cross-team technical consistency and that AI-assisted development doesn’t introduce drift or compounding shortcuts • Coach engineers at all levels on AI-native workflows — agentic tooling, prompt engineering, and self-unblocking — and use that knowledge yourself to accurately estimate complexity and set expectations • Track and communicate team-level quality and velocity metrics up and down the management chain, demonstrating measurable improvement over time

Title: Senior Software Engineer II (TASER Data Science) Location: Seattle, Washington, United States Job 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 Law enforcement agencies need training systems informed by real data about how officers perform in the field. We've spent the last few years collecting that data and validating the data products that create actionable insights that trainers can use to make encounters more effective, less injurious, and safer for everyone involved. We've shipped the simple models, but now we need to get our customer-validated models into production. Your job is not just to ship them, but to ensure that we have a strategic pipeline to continue delivering data products for our customers for years to come. What works in research needs to be production-grade, reliable, and reusable. We're a small, technically deep team embedded in Axon's TASER pillar. Our work spans hardware telemetry and behavioral science — we analyze TASER device data, build models that drive training recommendations for law enforcement agencies, and ship the analytical tools that get those insights to the people who can act on them. Our analyses reach the C-suite. Our models become user-facing features. We're working toward Axon's Moonshot: reduce fatal officer-involved shootings by 50% in the next decade. The head of product was a Staff Engineer. Our TPM ran a 60-person engineering organization. Both product managers have quantitative degrees — applied mathematics and engineering. Our program manager for TREND is a former state police lieutenant with over 30 years of experience in law enforcement. Our designer is part of the team, not separated from it. We built this team to cover the full space — engineering, data, product, and domain — and this hire is the next deliberate addition. This is the opposite of a silo — and it comes with a tradeoff: you won't always have another SWE in the room, so you'll need to be technically self-sufficient. What you get in return is a team with more depth of experience per person than most engineering environments you've worked in. What You’ll Do Location: This role is based out of one of our US-based offices Seattle and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. Reports to: Director, TASER Data Science Build and ship data products: dashboards, metrics systems, and recommendation tools that drive real decisions - Own production ML deployment — bring models from research to reliable production systems with monitoring, versioning, and operational rigor - Build and own data pipelines from TASER device telemetry through to analytics surfaces used by agencies and internal stakeholders - Set technical direction for the team's engineering practices — the data scientists here write code and want to do it better; you'll be the senior engineering voice they've been missing - Work across the full stack — device-side data ingestion through user-facing analytics — and move between projects to build breadth - Use AI tools as a core part of your development workflow, not a novelty What You Bring Must-haves: - You write production code at a high standard — strongly typed, comprehensively tested, designed for the people who will maintain it after you. We write Python like software engineers, not data scientists. - You've deployed and operated ML systems in production: model serving, monitoring, failure handling, and the operational rigor that keeps them running - You identify the most important technical work and go after it — you've shaped technical roadmaps, influenced peers and organizational direction, and moved goals forward with or without explicit direction - You define the problem as much as you solve it — you thrive in a team where requirements evolve as you learn, and you see that as a feature, not a bug - You've worked with real-world messy data: device logs, behavioral data, event streams, or similar Strong preferences: - Advanced degree in a quantitative or analytical field — PhDs are very welcome, we already have three - Intellectual background outside computer science is genuinely valued here: statistics, physics, engineering, biology, economics, linguistics, philosophy — it doesn't have to be a "hard science." We hire for intellectual diversity because it makes the work better. - Hands-on experience with ML production tooling: model registry, serving infrastructure, pipeline orchestration, and model monitoring - Experience with cloud data platforms in an ML context (Azure ML, Databricks, Snowflake) and batch or streaming pipeline architecture - Experience with hardware-adjacent data: device telemetry, IoT event logs, or similar 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 - Employee Resource Groups (ERGs) - 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. 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 $148,500—$237,600 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 axongreenhousesupport@axon.com 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 recruitingops@axon.com. 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 recruitingops@axon.com.