Inactive
R

Rackner

DevSecOps and AI for cloud-native edge

Rackner AI Innovation Fellowship – Startup Accelerator Intern

Applied Machine Learning +1Posted on Apr 6
Internship · Summer 2026Hyattsville, MD, USANo salary listed

About the Job

Requirements

  • Must reside in a HUBZone
  • Ability to participate in a hybrid model (~50% in-person in College Park)
  • Currently enrolled student or recent graduate in a relevant field

Responsibilities

  • Collaborate in small teams to design, develop, and prototype innovative AI/ML and cloud-based solutions
  • Conduct research on emerging technologies, including LLMs, cloud platforms, and cybersecurity frameworks
  • Build and deploy applications using modern cloud platforms (AWS, Azure, or GCP)
  • Develop proof-of-concept solutions with measurable impact
  • Apply software engineering best practices (version control, testing, documentation)
  • Analyze technical feasibility and potential business value of solutions
  • Present findings, demos, and final prototypes to leadership
  • Manage project timelines and contribute to team-based innovation

Desired Qualifications

  • Background in Computer Science, Software Engineering, Data Science, or Business
  • Strong preference for candidates with software development experience
  • Experience with programming languages such as Python, JavaScript, or Java
  • Familiarity with AI/ML tools (TensorFlow, PyTorch, HuggingFace)
  • Knowledge of cloud platforms (AWS, Azure, GCP)
  • Understanding of APIs, microservices, or distributed systems
  • HUBZone candidates strongly encouraged to apply
  • Team-oriented applicants; Preference for teams of 2–3; Teams with prior working relationships or strong collaboration experience are highly encouraged
  • Balanced technical + business mindset; Ideal team composition: 2 technical (software-focused) + 1 business-oriented member; Candidates with business, product, or entrepreneurial experience are a plus
  • High energy and motivation; Demonstrated strong work ethic; Passion for innovation, problem-solving, and building new solutions; Ability to thrive in fast-paced, ambiguous, startup-like environments

About the Company

Rackner

DevSecOps and AI for cloud-native edge

Rackner provides services that blend DevSecOps with artificial intelligence to help organizations run workloads in the datacenter, public and private clouds, and at the edge. Its offerings center on automating secure software delivery (devsecops), building cloud-native and hybrid-cloud applications, and extending compute to edge environments using technologies like Kubernetes and WebAssembly. The company supports both fast-growing startups and federal agencies, including Civilian and Defense sectors, and differentiates itself through its deep focus on security, cloud-native architecture, edge computing, and AI/ML capabilities, along with its status as a Cloud Native Computing Foundation member, Kubernetes Certified Service Provider, and partner to major cloud providers. Rackner’s goal is to help customers deliver scalable, secure, and efficient software and AI-powered applications across on-premises, cloud, and edge environments.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Washington DC, District of Columbia
Founded
2015

Recently Posted Jobs

Explore more opportunities at Rackner

See more jobs