{"id":71682,"url":"https://alion.io/job/armada-ai-engineer-2","title":"AI Engineer","company":{"id":23110,"name":"Armada","domain":"armada.ai","url":"https://alion.io/company/armada-ai","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":0.8,"repost_share":0,"time_to_fill_p50_days":66,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bellevue, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":154560,"max":193200,"currency":"USD","period":"year","gross":null,"usd_annual":193200},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Java","optional":false},{"name":"JAX","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Distillation","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Quantization","optional":false},{"name":"RAG","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Synthetic Data","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"CI/CD","optional":true},{"name":"CUDA","optional":true},{"name":"CUDA Toolkit","optional":true},{"name":"Human-in-the-Loop","optional":true},{"name":"LoRA","optional":true},{"name":"ONNX Runtime","optional":true},{"name":"PEFT","optional":true},{"name":"TensorRT","optional":true},{"name":"Triton Inference Server","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-08-10T15:38:26Z","employer_posted_date":"2026-09-01","last_verified_at":"2026-10-17T20:43:54Z","board_verified":true,"closed_at":null,"days_open":68,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":68},"description":"About the Company\nArmada is the hyperscaler for the edge, delivering modular AI infrastructure from first deployment to AI factory with speed, scale and sovereignty. Named one of Fast Company's Most Innovative Companies and to the CNBC Disruptor 50, Armada’s solutions are deployed in over 60 countries globally for organizations ranging from energy to defense. \nWith nearly $500 million in funding to date, Armada is backed by leading investors including Founders Fund, Lux, BlackRock and Microsoft (M12), alongside strategic partnerships with Microsoft, Dell, Palantir, NVIDIA, SpaceX, and Skydio. We are building the infrastructure layer for sovereign and edge AI - rugged, deployable compute for customers that cannot rely on centralized cloud.\nWorking at Armada means taking ownership, driving autonomy, and delivering impact. You’ll tackle challenges that haven’t been solved before and help build something transformative from the ground up. What you do here will not only define your career but help further Armada’s mission to bridge the digital divide for customers around the world. \nAbout the role\nArmada is seeking exceptional AI Engineers to build and deploy intelligent systems at the edge of the physical world.\nYou will develop production AI for offshore energy platforms, remote mines, defense installations, transportation networks, industrial facilities, autonomous systems, and distributed camera and sensor networks. These systems must operate reliably under real-world constraints, including intermittent connectivity, strict latency requirements, limited compute, noisy data, changing conditions, and rigorous security demands.\nDepending on your expertise, your work may span multimodal and generative AI, real-time computer vision, large language and vision-language models, robotics, reinforcement learning, statistical machine learning, time-series analysis, anomaly detection, or distributed AI inference.\nThis role is intended for engineers with at least three years of relevant industry experience who have moved beyond experimentation, RAG implementation, and model prototyping. You will own substantial portions of the AI lifecycle, from problem definition and data preparation through model development, optimization, evaluation, deployment, observability, and continuous improvement in production.\nThe strongest candidates combine rigorous ML and AI fundamentals with strong software-engineering judgment. They are equally comfortable interpreting research, implementing and evaluating new methods, diagnosing performance bottlenecks, and deploying resilient containerized AI services on GPUs across cloud, data-center, and disconnected edge environments.\nLocation. This role is office-based at our Bellevue, Washington office. \nWhat You'll Do (Key Responsibilities)\nTranslate operational problems into AI requirements, datasets, evaluation criteria, and production architectures.\nDesign, train, fine-tune, and deploy models for vision, language, multimodal AI, time-series analysis, autonomy, and optimization.\nApply state-of-the-art research using fine-tuning, distillation, quantization, and hybrid AI approaches.\nBuild training and evaluation datasets from video, images, text, telemetry, sensor data, and synthetic data.\nEvaluate models for accuracy, latency, throughput, robustness, safety, groundedness, and resource efficiency.\nOptimize inference through quantization, pruning, distillation, batching, caching, and hardware-aware acceleration.\nBuild reliable AI services using Python, testing, versioning, observability, and automated deployment.\nDeploy containerized AI workloads across Kubernetes, cloud, on-premises, and disconnected edge environments.\nBuild pipelines for model monitoring, data validation, drift detection, retraining, and controlled updates.\nPartner with customers, product teams, engineers, and domain experts to move prototypes into production.\nDiagnose issues across data pipelines, models, GPUs, orchestration, networking, and applications.\nContribute reusable models, datasets, evaluation tools, platform components, documentation, patents, and publications.\nRequired Qualifications\nMaster’s or PhD in applied mathematics, computer science, computational science, engineering, or a related technical field.\n3+ years of industry experience in AI research, machine learning, and production software development.\nStrong programming skills in Python and proficiency in Java, C++, or another production language.\nHands-on experience with statistical machine learning, deep learning, and natural language processing.\nStrong understanding of supervised, unsupervised, transfer, and representation learning.\nExperience with modern neural architectures, including transformers, convolutional networks, detection models, generative models, and autoencoders.\nProficiency with deep-learning frameworks such as PyTorch, TensorFlow, or JAX.\nFamiliarity with containers, numerical libraries, modular software design, version control, and automated testing.\nExperience applying machine learning to real-world problems and deploying models beyond research prototypes.\nEvidence of technical depth through peer-reviewed publications, open-source contributions, or significant production systems; publications at conferences such as NeurIPS, ICML, ICLR, AAAI, CVPR, or ICCV are highly valued.\nPreferred Experience and Skills\nExperience deploying production AI on GPUs, edge servers, embedded accelerators, robotics platforms, or distributed infrastructure.\nExperience with TensorRT, Triton Inference Server, ONNX Runtime, vLLM, CUDA, or similar inference technologies.\nExperience optimizing AI workloads for latency, throughput, memory, power, and real-time performance.\nExperience with Kubernetes, microservices, distributed systems, CI/CD, and production MLOps.\nExperience building multimodal systems using vision, language, audio, telemetry, geospatial, or sensor data.\nExperience developing autonomous, robotic, industrial, defense, energy, transportation, or safety-critical systems.\nFamiliarity with quantization, pruning, distillation, LoRA, and other parameter-efficient optimization techniques.\nExperience with synthetic data, active learning, weak supervision, human-in-the-loop workflows, or simulation.\nAbility to make sound decisions under ambiguity and own systems from concept through production.\nCompensation\nFor U.S. Based candidates: To ensure fairness and transparency, the starting base salary range for this role for candidates in the U.S. are listed below, varying based on location experience, skills, and qualifications.\nIn addition to base salary, this role will also be offered equity and subsidized benefits (details available upon request).\nBenefits\nCompetitive base salary and equity\nMedical, dental, and vision (subsidized cost)\nHealth savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA)\nRetirement plan options, including 401(k) and Roth 401(k)\nUnlimited paid time off (PTO)\n14 paid company holidays per year\nCompensation\n$154,560—$193,200 USD\nYou're a Great Fit if You're\nA go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge \nA detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a \"get-it-done\" attitude \nThrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company\nA collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda \nHighly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you \nEqual Opportunity Statement\nAt Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.\nUnsolicited Resumes and Candidates\nArmada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.","description_format":"text","description_chars":8730,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Retirement plans"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Edge AI","AI Compute & Inference"],"lifecycle":[{"event":"open","at":"2026-08-10T15:38:26Z"}],"visa":[],"liveness":{"score":33,"band":"fade","label":"Fading","p_open":1,"p_active":0.753,"p_room":0.44,"age_days":67,"expected_fill_days":66,"reasons":["conf:0","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":193200,"is_top_pay":false},"html_url":"https://alion.io/job/armada-ai-engineer-2","json_url":"https://alion.io/job/armada-ai-engineer-2.json","meta":{"generated_at":"2026-10-17T21:40:43Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":6392,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":23110},"rest":"https://alion.io/mcp/rest/get_company?id=23110"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Farmada-ai-engineer-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Farmada-ai-engineer-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Farmada-ai-engineer-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/armada-ai-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Farmada-ai-engineer-2"}]}