Description We're seeking a Software Engineer to bridge the critical gap between cutting-edge ML research and production-ready solutions. You'll transform research prototypes into robust, deployable systems that end users can confidently put into production. This role uniquely combines software engineering, DevOps practices, and ML solution delivery.
- Productionize ML Research: Transform research code and prototypes from our ML team into reliable, scalable solutions ready for end-user deployment
- Build Diverse Solutions: Develop applications and services in C++, Java, or Python; create gRPC-based containerized solutions with clients in Java, Python, or GoLang
- Own the Delivery Pipeline: Design and maintain CI/CD pipelines, ensuring smooth deployment from development to production
- Deploy ML Infrastructure: Configure and optimize containers using NVIDIA Triton Inference Server for high-performance inference
- Performance Engineering: Profile, tune, and optimize solutions for production workloads
- Documentation & Best Practices: Create comprehensive user documentation and establish deployment best practices
- Collaborate Cross-Functionally: Work directly with end users to understand requirements and with researchers to align development with real-world needs
This job also offers telework once the candidate is familiar with the environment Clearance A current Top-Secret/SCI with polygraph security clearance is required. Candidates cannot be sponsored or nominated for a government security clearance under this position.
Experience Seven (7) years' experience as a SWE in programs and contracts of similar scope, type, and complexity is required. Bachelor's degree in Computer Science or related discipline from an accredited college or university is required. Four additional (4) years of SWE experience on projects with similar software processes may be substituted for a bachelor's degree.
Required skills:
- Experience with Typescript, JavaScript, CSS, Vue, React, Vite, Node, NPM, Git
- Experience with video playback technologies (e.g. HTML5 video, Vidstack, vidoe.js, HLS, DASH) nice but optional.
Benefits Erias Ventures provides a complete package of wealth, health, and happiness benefits. The expected salary range for this position, depending on education and years of experience is $210,000 - $230,000.
Wealth Benefits: - Above Market Hourly Pay
- 11% Roth or Traditional 401k with Immediate Vesting and Deposit
- Spot Bonuses for Assisting with Business Development and Company Growth
- Professional Development Bonuses for Certificates and Degrees
Health Benefits: - Company subsidized Medical Coverage
- 100% Company Paid Vision and Dental Coverage
- 100% Company Paid Long Term Disability, Short Term Disability, and Group Life Insurance
- Monthly Wellness Reimbursement
Happiness Benefits: - Paid Time Off with Flexible Work Schedules and Birthday Off
- Amazon Prime Membership andMonthly Internet Reimbursement
- Technology and Productivity Allowance for Equipment and Supplies
- Morale Building and Company Events to Celebrate our Successes and Build our Community
- Onboarding and Annual Swag
- Company Paid Professional Development and Training
Referrals & Inquiries Do you know a cleared professional seeking to advance their career? Interested in earning some extra cash? If so, refer them to us with their name and contact details, and you could be eligible for a referral bonus of up to
$10,000 for each successful hire.
Not seeing the right position right now? Reach out to us, and we'll notify you as new contracts and opportunities become available!
Please send referrals and inquiries to:
[email protected] 
