Company Overview:

Robotic Research has provided proven vehicle autonomy solutions and is a global leader in self-driving technology. Our AutoDrive® autonomy kit is designed to tackle the industry’s greatest challenges from GPS-denied environments to mixed-traffic and unpaved roads. The commercial division, RR.AI, works with trusted OEM partners to deliver these autonomous solutions across the United States, Canada, Australia, Europe, and Saudi Arabia. Robotic Research designs and implements solutions that improve the efficiency and effectiveness of logistics, enhance situational awareness, and save lives through transformable robots, automated vehicles, and GPS-denied localization devices.

We offer a fast-paced start-up environment where innovation comes first, and a breadth and depth of skills, knowledge, and interests are highly valued. We are leading this dynamic revolution in technology with team members throughout the U.S including our main offices in Clarksburg, MD and San Antonio, TX.

Citizenship Required – Ability to Obtain Clearance

Citizenship Requirements: US Citizenship required.

Clearance Requirements: This position may require a security clearance in the future. Applicants must be able to obtain a U.S. Security Clearance.

Position Responsibilities: 

The JOB TITLE: The Lead Cloud Engineer possesses infrastructure and software engineering expertise that will be working with the cloud and product teams in deploying hybrid cloud services, experience, using infrastructure as code, containers, CI/CD pipelines, reusable frameworks, and automated workflows. As a veteran leader leading fast agile cloud-based purpose-built deployments, you will also participate in architecture and design discussions on building a secure cloud platform that will run using a SASE model that extends out to branch networks across the globe. Furthermore, you will also be the anchor piece for our site reliability engineering team in support of this scalable and secure hybrid cloud deployment. 

• Help establish a SASE hybrid cloud architecture that will connect AWS, Azure, VMware, and distributed edge compute infrastructure to handle disparate AI/ML workloads
• Help build fully automated, secure, and fungible infrastructure consisting of containers and VMs for dev, engineering, product, and operations teams
• Ensure the cloud has the appropriate security controls to protect the company’s IP while managing cost controls

Required Skills & Abilities:

• At least 1 cloud certification (but must have a comfortable working knowledge of both AWS and Azure).
• VMware, Debian Linux, Windows, Kubernetes
• CI/CD Pipelines
• Tools & automation
• Hybrid Cloud-based networking and network security (eg SDWAN, WAF, CSG)

Education & Experience: 

• Bachelor's Degree in Computer Science or Software Engineering or related field
• 10 years of experience in Information Technology
• 5 years Cloud Engineering experience working within multiple cloud platforms
• Experience with building software factories that house DevSecOps

Preferred Qualifications: 

• Experience supporting embedded Linux systems
• Experience in minimizing and securing Linux systems, VMs, Containers and Azure/AWS VPCs in production
• Experience in helping to implement MLOps and other AI/ML compute platforms is a plus
• Experience with OpenNebula

Office Location: Clarksburg, MD

Tele-work Opportunities: 

• Hybrid (1 day/week remote, 2 days/week remote, etc.) after on-site training

Travel Requirements: 

• Domestic and international travel may be required (10%)

Benefits: 

Robotic Research is excited to offer the following benefits:

• Company holidays
• Flexible work schedules
• Paid time off
• Competitive medical, dental & vision plans
• 401k contribution plan with up to 4% match 
• Employer paid short-term & long-term disability insurance
• Employer paid life insurance
• Voluntary life insurance
• Relocation reimbursement for qualifying situations
• Dog Friendly Office!
• Tuition reimbursement
• Discretional annual bonus and profit sharing
• Employee assistance program

All benefits are subject to change. Please discuss with a member of the Robotic Research HR team for details.

Employment is conditioned upon successful completion of a thorough background screening and drug test.

Diversity and Equal Opportunity Statement: At Robotic Research, we don’t just accept differences, we celebrate them! We strive to attract, develop and retain curious & highly qualified individuals representing a variety of backgrounds, cultures, skills & perspectives. Robotic Research is committed to building a diverse team and is proud to be and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, marital status, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.