or apply directly on Armada's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 79 days Armada's roles stay open a median of 87 days
- Reposted
- No
- Salary listed
- No 31% of Armada's roles list one
- Ghost-job risk at Armada
- high 58 stale, 2 reposted of 58 open
- Hiring momentum
- 89 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-29
Measured from postings appearing on and disappearing from Armada's own greenhouse board since 2026-08-03. Full hiring picture for Armada.
About this role
As an AI Engineer at Armada, you will develop and deploy intelligent systems for various applications, including offshore energy platforms and autonomous systems. Your responsibilities will include translating operational challenges into AI requirements, designing and optimizing models, and ensuring their reliability under real-world conditions. You will also collaborate with customers and product teams to transition prototypes into production, while managing the entire AI lifecycle from data preparation to deployment.
- benefits
- 3/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Armada as an employer.
What you need
- Master’s or PhD in applied mathematics, computer science, computational science, engineering, or a related technical field
- 3+ years of industry experience in AI research, machine learning, and production software development
- Strong programming skills in Python and proficiency in Java, C++, or another production language
- Hands-on experience with statistical machine learning, deep learning, and natural language processing
- Strong understanding of supervised, unsupervised, transfer, and representation learning
- Experience with modern neural architectures, including transformers, convolutional networks, detection models, generative models, and autoencoders
Nice to have
- Experience deploying production AI on GPUs, edge servers, embedded accelerators, robotics platforms, or distributed infrastructure
- Experience with TensorRT, Triton Inference Server, ONNX Runtime, vLLM, CUDA, or similar inference technologies
- Experience optimizing AI workloads for latency, throughput, memory, power, and real-time performance
- Experience with Kubernetes, microservices, distributed systems, CI/CD, and production MLOps
- Experience building multimodal systems using vision, language, audio, telemetry, geospatial, or sensor data
What you get
- Competitive base salary and equity
- Medical, dental, and vision (subsidized cost)
- Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA)
- Retirement plan options, including 401(k) and Roth 401(k)
- Unlimited paid time off (PTO)
- 14 paid company holidays per year
Worth weighing
- Role is office-based in Bellevue, Washington
- No specific mention of remote work options
- Salary range provided, but no details on how it varies by experience or skills
- Focus on deploying AI in real-world conditions may require dealing with complex challenges
Summarised from Armada's posting. Read the full original.
Listed by Armada on their greenhouse job board, last confirmed open on 2026-10-29. PitchMeAI is not the employer.
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