Purposefully transforming the nation’s defense and national security enterprises
Artificial Intelligence • SaaS • Open AI Platform • Decision Support • Quantum Computing
March 12
🏢 In-office - Bay Area
Purposefully transforming the nation’s defense and national security enterprises
Artificial Intelligence • SaaS • Open AI Platform • Decision Support • Quantum Computing
• Artificial Intelligence is a foundational pillar in Rhombus’ product strategy • We are seeking a distinguished Senior Product Engineer with outstanding technical execution and leadership in the AI/ML area and beyond • Work with the leadership team to build awareness and alignment to accelerate the rollout and adoption of AI technologies • Provide technical guidance and mentorship to cross-functional teams and promote a culture of engineering excellence • Identify, troubleshoot and resolve bugs to maintain product quality and performance • Collaborate with fellow technical leaders to ensure the successful and timely delivery of AI/ML models
• At minimum 7 years’ experience as a software engineer with significant programming experience in Go and Python • Masters in computer science, data science, mathematics, statistics, highly desired • Strong experience in Object Oriented Programming design concepts • At least 3 years’ experience in developing solutions in cloud environments such as AWS, Azure, GCP, Kubernetes and their technologies (Lambda functions, SNS/SQS etc.) • In-depth knowledge and proven track record in cloud software development, AI/ML technology, including deep learning, time series modeling, natural language processing, and unsupervised learning • In-depth knowledge and proven track record in Generative AI technology and Large Language Models (LLM) • Strong knowledge of databases SQL, NoSQL, Time series, GraphDB etc. • Experience building RESTful API services • Experience with Azure strongly desired but not mandatory • Demonstrated experience in developing large-scale, complex models and deploying them in production systems, as well as large-scale data processing and parallel computing – GPU, multi-GPU and distributed training • Willing to work onsite in our Palo Alto, CA HQ with 10-15% travel
• Full medical, dental, vision coverage for employee and dependents • 401k matching program • PTO and Holidays • Bonus and other incentive programs • Access to mental health program • Access to Flexible Spending Accounts for Health Care, Dependent and Commuter
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