Senior Video Processing Jobs in Baltimore, MD (NOW HIRING)

• Annapolis Junction, MD

Erias Ventures was founded to serve its customers with an entrepreneurial mindset. We value creative problem-solving, open communication, and empowering our employees to make decisions and put forth new ideas.

Our staff includes technical experts working across multiple disciplines, bringing diverse perspectives to every project. We are seeking engineers who wish to grow their careers and want to become part of a technicallystrongandgrowth-orientedcompany focused on bringing innovative solutionsto the difficult mission problems facing our customers.

ML Deployment Engineer moves video,image,speech,and text analytics (VISTA)models from research prototype to production inference services that downstream engineering teams can run in Kubernetes or similar environments. You will work individually or as part of a small research/SDK team to:

• Collaborate cross-functionally working directly with end users to understand requirements and with researchers to align development with real-world neds.
• Build the CI/CD and packaging around Python on NVIDIA Triton Inference Server, with TensorRT execution providers and Business Logic Scripting (BLS) in-service pipelines.
• Tune pipelines for throughput, and support them through customer transition.
• Review and test software components against design requirements.
• Create comprehensive user documentation and establish deployment best practices.
• Resolve system problem reports and contributes to system design, including hardware/software trade-offs, software reuse, infrastructure-as-code, and requirements analysis from the system level down to individual components.

This position is eligible for partial telework.

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.

Fourteen (14) 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. Fouradditional (4) years of SWE experience on projects with similar software processes may be substituted for a bachelor’sdegree.

• Strong Python experience
• Solid understanding of DevOps practices and CI/CD pipelines
• Intermediate/Advanced experience with containerization (Docker) container creation and performance optimization
• Beginner/Intermediate experience with orchestration tools such as Kubernetes
• Experience taking projects from prototype to production
• Strong communication skills for technical and non-technical audiences
• Self-motivated with ability to work independently and collaboratively

• Software Development experience: C++, Java, GoLang, CUDA
• Experience supporting production ML systems
• Familiarity with ML domains: Natural Language Processing, Computer Vision, Automated Speech Recognition, or Video Processing
• Knowledge of model formats and optimization (ONNX, TensorRT)

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 $232,000 - $255,000.

• Above Market Hourly Pay
• 11% RothorTraditional 401kwith Immediate Vesting and Deposit
• Spot Bonusesfor Assisting with Business Development and Company Growth
• Professional Development Bonusesfor Certificates and Degrees

• Company subsidizedMedicalCoverage
• 100%Company PaidVisionandDentalCoverage
• 100%Company PaidLong Term Disability,Short Term Disability, andGroup Life Insurance
• MonthlyWellness Reimbursement

• Paid Time OffwithFlexible WorkSchedules andBirthday Off
• Amazon Prime MembershipandMonthlyInternetReimbursement
• TechnologyandProductivity Allowancefor Equipment and Supplies
• Morale BuildingandCompany Eventsto Celebrate our Successes and Build our Community
• Onboarding and AnnualSwag
• Company Paid Professional DevelopmentandTraining

At Erias Ventures, we are dedicated to fostering a diverse and inclusive workplace. As an equal opportunity employer, we ensure that all qualified applicants are considered for employment based on merit, without discrimination. We welcome individuals regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

To learn more about our company visit ourwebpage orLinkedIn .