Associate Survivability and Operations Analysis Engineer
San Jose, California, United States
$70k-$97k/yrRemoteFull Time
ArcherNYSE: ACHR: Develops electric vertical takeoff and landing aircraft for urban mobility.
2+ YOE0–2 years in aerospace or related field; BS in engineering, CS, physics, or math; MS or current enrollment; familiarity with survivability tech and modeling tools; US citizen able to obtain DoD clearance; CAD/Python/MATLAB a plus.
ArcherNYSE: ACHR: Develops electric vertical takeoff and landing aircraft for urban mobility.
5+ YOEBachelor's or Master's in Industrial/Manufacturing Engineering or Operations Research; 5+ years in industrial engineering or factory simulation; experience with discrete event simulation, production flow modeling, and cross-functional collaboration.
Hewlett Packard EnterpriseNYSE: HPE: Providing global edge-to-cloud infrastructure and IT solutions for businesses.
4+ YOESenior IC with 4-7 years experience; design, build, operate production-grade agentic platform; hybrid work model; Bachelor’s degree in CS/Engineering; Master’s preferred.
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
5+ YOE5+ years building and operating ML systems with GPU workloads, designing large-scale cloud services, optimizing model inference, and collaborating with research and engineering teams; proficiency with Python, PyTorch/TensorFlow, model serving tools, containerization, orchestration, and AWS.
Principal Machine Learning Engineer, Agent Harness - Meta Factory
San Jose, California, United States
$206k-$379k/yrOnsiteFull Time
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
15+ YOE15+ years software engineering experience; deep expertise in distributed systems, LLM infrastructure and agentic systems; hands-on model fine-tuning and runtime operations; strong architecture, communication, and leadership skills.
CiscoNASDAQ: CSCO: Develops and sells networking hardware and cybersecurity software.
10+ YOE4+ MgmtRequires extensive experience in incident/problem/escalation management, building cross-functional operating models, supervisory experience, and strong knowledge of Splunk and observability tooling.