Senior 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 to power innovation across our customer organization, and we need a senior software engineer to help lead the charge. In this role, you'll be instrumental in building and maintaining the foundation for customer AI capabilities while supporting a broader ecosystem of AI-enabled applications. Your focus will be ensuring access to the highest quality large language models across our inference software stack.
As a Senior Software Engineer - Inference, you'll take on significant technical and leadership responsibilities. You'll lead the evaluation, configuration, and deployment of inference models for our users, translating high-level stakeholder goals into engineering outcomes. You'll mentor engineers on our team, helping to grow development best practices and standards that elevate everyone's work. You'll develop in-house services and techniques to guarantee continual high-quality inference service for our customer, and you'll engage across teams to establish solid infrastructure for our services and integrate LLM-powered tools for user needs.
We move fast in this space - requirements shift as mission needs evolve and new technologies emerge. You'll be expected to keep sharpening your skills and learning to turn loosely defined problems into working solutions. You'll also collaborate with teammates on surge efforts to support short-term, high-priority inference needs, balancing hands-on engineering with leadership and coordination responsibilities.
Requirements- 12+ years of experience in software engineering, or a B.S. in a technical discipline plus 8+ years of experience
- Proficiency with Python and/or other modern programming languages
- Experience with Argo CD and/or other CI/CD frameworks
- Experience with Kubernetes and Helm
- Experience with AWS or other cloud service providers
- Strong communication skills and demonstrated ability to mentor other engineers
- Excellent leadership and stakeholder management skills
- Ability to balance hands-on engineering with leadership and coordination responsibilities
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$282,000 - $332,000
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.
