Join our data center team to profile performance of open source models using CI/CD, Linux, and dashboard technologies. Build performance dashboards and work with novel hardware platforms.
About Positron AI
Positron delivers vendor freedom and faster inference for both enterprises and research teams, by allowing them to use hardware and software explicitly designed from the ground up for generative and large language models (LLMs).
Through lower power usage and drastically lower total cost of ownership (TCO), Positron enables you to run popular open source LLMs to serve multiple users at high token rates and long context lengths. Positron is also designing its own ASIC to expand from inference and fine tuning to also support training and other parallel compute workloads.
About the role
- You'll be joining our data center team, profiling performance on various open source models across hardware and software builds
What you'll do
- CI/CD, Linux administration, Ansible configurations, Plotly and Typescript dashboard front ends
Qualifications
- Experience building performance dashboards
- Experience with novel hardware platforms
- BA/BS required, preferred in technical subject like Computer Science, Physics, Applied Math, or Electrical Engineering
Top Skills
Ansible
Ci/Cd
Linux
Plotly
Typescript
Similar Jobs
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Lead design and implementation of shared, reusable data models and a certified metrics layer. Standardize pipeline patterns, CI/CD, and governance; modernize orchestration and observability; partner with Data Science, Infrastructure, and Product to deliver reliable analytics pipelines and enable AI-native data development.
Top Skills:
AirflowAtlanDatabricksDatabricks Metric ViewsDbtDbt MetricflowDelta LakeGreat ExpectationsMonte CarloPythonSpark SqlSQLUnity Catalog
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead two mobile pods (Platform and Product) to define cross-platform strategy, improve build/CI/CD and performance SLOs, deliver customer-facing features, drive platform migrations, and manage/hire 13-14 mobile engineers while enforcing engineering best practices and reliability.
Top Skills:
Android,Ios,React Native,Kotlin,Kotlin Multiplatform (Kmp),Compose Multiplatform,Jetpack Compose,Ci/Cd,Mobile Build Systems,Observability,Ai-Assisted Development Tooling
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Build and evolve core AI platform capabilities: design shared execution patterns, APIs, and backend services to support multi-step GenAI workflows, model integrations, and scalable production systems. Collaborate with AI engineers, data scientists, and product partners to turn emerging AI use cases into reliable, extensible platform features.
Top Skills:
GoJavaLangchainLlmsMcpOpenai SdkPython
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center


