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2 matching jobs

  • C
  • C++
  • Java
  • Python
  • TypeScript
  • React
  • Linux
  • Windows
  • Jenkins
  • Machine Learning

Stellar Science | Hybrid (USA) Albuquerque NM, Washington DC (Tysons VA), Dayton OH | Full time, interns/co-ops | U.S. citizenship required | https://www.stellarscience.com

Company: We're a small scientific software development company that develops custom scientific and engineering analysis applications in domains including: space situational awareness (monitoring the locations, health and status of on-orbit satellites), image simulation, high power microwave systems, modeling and simulation, laser systems modeling, AI/ML including physics-informed neural networks (PINN), human body thermoregulation, computer vision and image processing, high performance computing (HPC), computer aided design (CAD), and more. All exciting applications and no CRUD. We emphasize high quality code and lightweight processes that free software engineers to be productive.

Experience: Except for interns, we currently require a Bachelors degree in physics, engineering, math, computer science, or a related field. Masters or PhD is a plus. (Roughly 25% of our staff have PhDs.)

Technologies: Lots of C++23, Qt 6.9, CMake, git, OpenGL, CUDA, Boost, Jenkins. Windows and Linux, msvc/gcc/clang/clangcl. AI/ML and analysis projects use Python and C++. Web projects use Java and Typescript/React.

Apply online: at https://www.stellarscience.com/careers/.

  • Haskell
  • JavaScript
  • Python
  • Ruby
  • Scheme
  • TypeScript
  • Flask
  • Kafka
  • MongoDB
  • PostgreSQL
  • Ruby on Rails
  • React
  • Vue
  • AWS
  • Docker
  • Jenkins
  • Full-time

Location: San Francisco, CA

Remote: OK

Willing to Relocate: No

Programming Languages: Ruby, Scala, Javascript, Python, TypeScript, Haskell, Scheme

Programming Strengths: Data Structures and Algorithms, Data Engineering, Programming Language Theory, Type Theory, No-Code, AI&Prompt Engineering, Complex & Unusual Domains (Healthcare, Fintech, Music, Arts, Sciences)

Frameworks, Databases & Tools: Vue, React, Rails, Flask, Postgres, HBase, MongoDB, Kafka, Jenkins, AWS, Docker

Other Skills: Leading Teams & Managing Projects, Productizing LLMs, Managing Interview Pipelines, Architecting & Implementing Greenfield Solutions, Education & Team Growth, Leading Communication and Coordination Between Stakeholders Across Teams and Organizational Silos

CV: Available Upon Request

Email: poetic.artifice@gmail.com

I am a seasoned (>15 years experience) full-stack staff-level software engineer specializing in the backend, systems architecture, AI, platform engineering, internal tools, prototyping, and data engineering. In addition to strong programming and architectural skills, I'm a force multiplier for any team in either role through the three T's -- teaching, talking, and tooling. I also hold a US patent in the AI space.

In the past, I've taught a number of scientists and students to code in python; I've led and managed a number of high-impact engineering teams of up to 12; and pioneered a number of no- and low-code solutions for stream processing, data model and query generation, form building, workflow systems, and front-end construction for a variety of industries, including those with strong regulatory requirements and complex business rules such as healthcare and fintech. >10% of all medicare applications and millions of individuals currently flow through pioneering no-code systems I conceived and built and have ran in production for over a decade.

More recently, I've built a no-code automated form-filler; a no-code web scraper (and an AI for generating such scrapers from a spec and 1-3 example urls from a page); and a workflow engine for coordinating LLMs and other generative AI processes, and on top of this a platform for both minimizing hallucinations and working with documents that are far too large for existing context window inputs or outputs using a novel, patented process that I invented; and applied these tools to various contracted projects requiring analysis and and cross-checking of information and other forms of integrity across textual and video/audio corpus data in a variety of domains (fiction and non-fiction).

I am also an improvisational pianist, published poet, and I've created novel algorithms and tools for studying and composing both music and poetry, which I have given a talk on at a recent functional programming conference.

I have extensive experience working for and running startups, software consulting shops, with some mid-sized company engineering experience as well; these give me a unique insight into speaking with customers and internal stake-holders, translating between engineering and other departments, gathering requirements, aligning stake-holders across departments on a vision and attainable timeline, and architecting/building/taking ownership over significant internal and customer-facing areas of responsibility.

If any of the above seems like a match for you and your organization or project, don't hesitate to reach out. I am available for both full-time positions and short- and long-term contracts.