Software Engineer - InferenceAn active TS//SCI clearance with polygraph is required for this role About this RoleWe're building the next generation of AI infrastructure that will power innovation across our customer's organization, and we need a software engineer to help us do it. In this role, you'll support our AI infrastructure team by helping build and maintain the foundation for customer AI capabilities while supporting a broader ecosystem of AI-enabled applications. Your focus will be ensuring access to the highest available quality LLMs to users throughout the inference software stack.
Requirements shift quickly as mission needs evolve and new technologies emerge, so you'll keep sharpening your skills and learning to turn loosely defined problems into working solutions. You'll work directly with our team to develop robust systems that power critical national security capabilities.
What You'll Do:- Procure, configure, and test new inference models, preparing them for release to our user base
- Develop in-house services and techniques to guarantee continual high-quality inference service for our customer
- Work with model vendor teams and representatives to create reliable pipelines for closed-source model usage
- Collaborate with teammates on surge efforts to support short-term, high-priority inference needs from our customer
- Engage with other teams in our organization to establish solid infrastructure for our services and integrate LLM-powered tools for user needs
Requirements- 3 years of experience in software engineering, OR a B.S. in a technical discipline plus 4 additional years of related experience
- Experience with Python and/or other modern programming languages
- Familiarity with Argo CD and/or other CI/CD frameworks
- Experience with Kubernetes/Helm
- Familiarity with AWS or other cloud service providers
- Ability to learn new technologies quickly
- Strong communication skills and willingness to ask questions
Preferred Skills- Experience with vLLM, LiteLLM, or similar inference-serving frameworks
- Experience with other LLM hosting frameworks and practices
- Experience supporting production software using Site Reliability Engineering (SRE) best practices
- Experience with Elastic, Grafana/Prometheus, or other observability frameworks and practices
- Experience with Docker and containerization
- Experience in traffic shaping and quality-of-service engineering
- Knowledge of and interest in hosting AI capabilities
Benefits at Bitwise- Top salaries because we're top performers
- Pick your PTO - Everyone values time and money differently, so we give you the flexibility to choose between 3 and 5 weeks of PTO with a corresponding adjustment to your pay. Your choice, your balance.
- All 11 federal holidays, paid!
- Up to 2 snow days, paid!
- We'll quadruple (4x!) the first 6% you contribute to your 401(k), giving you up to a 24% company match. Contributing less than 6%? Unclaimed matches come right back to you as extra income, giving you a guaranteed 24% that goes to your retirement, to your paycheck, or both. C'mon now!
- 100% employer-paid medical, dental, vision, life, and disability insurances. That's a lot. Already covered on health insurance? No problem - we'll trade you this benefit for a boost to your salary instead.
- $5,250 annual education assistance for training, certifications, tuition, and even student loan repayments.
- Spot bonuses for obtained certifications, customer recognition, and just about anything else that makes us go "Hot damn!". We hope to say that many times about you.
Salary Range$197,500 - $232,500
This range includes our flex income and depends upon your annual work hours.
Salary is determined on an individual basis following the interview process and considering various factors such as years of experience, skills, education, and certifications.
What to Expect After ApplyingYou'll get an email from us right away to acknowledge your application. After that, we'll:
- Send over additional company materials for you to review
- Schedule a video call to talk about you, our company, and your place in it
- Craft a delightful offer package for you and record a video walkthrough
- Work closely with you through onboarding. We'll keep it joyful and easy.
