Software Engineer - InferenceAn active TS/SCI clearance with polygraph is required for this role What We Look ForBitwise hires talented engineers who are driven by purpose and who value a culture of technical excellence, growth, and overall wellness. We deliver new and innovative intelligence solutions to our customers at the very forefront of our country's national security missions. And we do it every single day. Our work matters, and so will you.
We ask that every new hire be able to:
- Contribute meaningful thought leadership - if not right away, over time
- Interact with our customers and earn their confidence in your abilities
- Be detailed, even if that means taking a little more time to get it right
- Contribute their ideas and ideals to improve all aspects of our company
- Allow us to invest in their education so we both grow together
- Know and live our core values every single day
About this RoleWe're building next-generation AI infrastructure, and we want you on the team doing it. As a Software Engineer on our AI infrastructure team, you'll play a hands-on role in delivering and maintaining the foundation that powers AI capabilities for our customer - making sure users across the organization have reliable access to the highest-quality large language models (LLMs) available.
This is not a slow-moving role. Requirements shift as mission needs evolve and new technologies emerge, and you'll be expected to keep pace - turning loosely defined problems into working solutions. If you thrive on learning fast and building things that matter, you'll fit right in.
Your day-to-day will include:
- Procuring, configuring, and testing new inference models and preparing them for release to our user base
- Developing in-house services and techniques to ensure continual, high-quality inference for our customer
- Working with model vendor teams and representatives to build reliable pipelines for closed-source model usage
- Jumping in on surge efforts to support short-term, high-priority inference needs as they arise
- Collaborating across teams to establish solid infrastructure for our services and integrate LLM-powered tools for users
Requirements- 3 years of experience in a relevant technical role, with a B.S. in a technical discipline - or 7 years of experience in lieu of a degree
- Experience with Python and/or other modern programming languages
- Familiarity with Argo CD and/or other CI/CD frameworks
- Experience with Kubernetes and Helm
- Familiarity with AWS or other cloud service providers
- Ability to learn new technologies quickly and independently
- Strong communication skills and a genuine willingness to ask questions and collaborate
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
- Experience with Docker and containerization
- Experience in traffic shaping and quality-of-service engineering
- A genuine interest in hosting and scaling 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.
