Founding Engineer

San Francisco, California

About The Role

Cosmological simulations of dark matter, large molecular simulations of protein foldings, sequencing genetic material for cancer research, magnetospheric flows around black holes, evolving the earth’s oceans decades into the future: these are examples of distributed scientific computing, responsible for a significant fraction of global compute capacity. Unfortunately, executing these workloads has become increasingly difficult as nearly all scientific computing takes place on local on-premise HPC clusters, rather than seamless cloud-based distributed workflows that are the staple of the tech sector. Camber’s mission is to create the platform that ushers a scientific revolution in cloud computing. The possibilities are endless.

Camber just received seed funding from top investors and is ready to hire foundational members of its engineering team. We’re looking for intelligent, measured individuals who bring deep technical expertise and experience. We value craftsmanship just as much as speed and efficiency.

Responsibilities:

• Help design the world’s first cloud-based distributed computing platform for research, across all fields of science and engineering

• Contribute to the product strategy across multiple scientific verticals

• Develop, mentor and recruit team members

• Collaborate on talent roadmap to meet the needs of the business

• Evolve the capabilities of the team as required to support the business

• Interact with our scientist customers to better understand their workflows, the problems they are facing and the discoveries they are making

Qualifications:

• 8+ years of experience in the technology sector, working in cloud-based ecosystems

• Expert knowledge in 2-3 of the following programming languages: Rust, Python, C/C++, Node.JS, Kotlin, Java, Scala, GoLang

• Experience with containerization and orchestration frameworks e.g,, Docker, k8s, Terraform, Jenkins, etc.,

• Woking knowledge of several distributed computing frameworks e.g., Spark, Hadoop, ElasticSearch, Presto, Kafka, Cassandra, etc.,

• Bachelor’s degree in CS or related quantitative field. Research experience at MS/PhD level is preferred, but not required.

Benefits:

• Competitive salary and meaningful equity

• A flexible vacation policy.

• Comprehensive health, vision, dental, and life insurance as well as disability benefits.