Learn how a global trading business really works, and build the AI tools that make it faster. As a Forward Deployed Intern, you spend six months inside our business, sitting with teams that buy, sell and move industrial materials, learning how their work really happens, and building tools that make it faster, with AI at the core.
Responsibilities
Join sales, procurement, logistics and finance teams to understand a trade from request to delivery
Spot areas where manual work causes time loss
Build automations, small agents, scripts and dashboards with AI tools such as Claude
Ship first versions quickly and improve them with feedback
Track time savings or mistake prevention from built tools
Build and run Jump's measurement offer: our own media mix model, monthly readouts and incrementality tests that show clients which ads really drive sales and where to move budget next.
Compensation
$250K base + 10 to 20% annual bonus
Responsibilities
Build Jump's measurement model across clients' digital channels
Design the monthly readout for CMO/CFO action
Build the quarterly budget plan
Design and run incrementality tests
Build scenario planning
Requirements
Master's or PhD in statistics, economics, data science or another quantitative field
Evaluate space-based intelligence architectures and lead the strategy, development, and maintenance of sophisticated simulation tools in support of requirements verification, analyses-of-alternatives, and performance modeling for space-based remote sensing architectures.
Locations (3)
Chantilly, Virginia, United States
Colorado Springs, Colorado, United States
El Segundo, California, United States
Compensation
The grade-based pay range for this job is listed below. (Min - Max)
$144,500.00 - $264,600.00
Pay Basis: Annual
Responsibilities
Lead teams to perform assessments using in-house or internally developed analysis tools that drive recommendations for research, development, and acquisition decisions of legacy and emerging customer space-based sensing architectures.
Partner across ETG to continue quality M&S standards in department capabilities and maintain awareness of software requirements and resources.
2027 Guidance, Navigation, and Control Graduate Intern
Provide Guidance, Navigation, and Control (GNC) support for launch vehicle, missile systems, and missile defense systems for a wide range of customers including the Space Force’s Space Systems Command (SSC), the Missile Defense Agency, and other civil customers (e.g. NASA).
Compensation
The grade-based pay range for this job is listed below. (Min - Max)
$32.00 - $38.00
Pay Basis: Hourly
Responsibilities
Develop mathematical models and high-fidelity computational simulations of launch vehicles from fundamental principles of dynamics and physics
Develop computational tools to analyze launch and upper-stage vehicle guidance and navigation systems, including the performance of guidance algorithms and use of inertial systems, GPS, and other sensors
Develop and support software tools to perform time and frequency domain controls analysis
Perform trajectory studies and conduct error and orbital perturbation analyses
Perform statistical analyses of launch vehicle trajectories, maneuvers, and targeting accuracy
Requirements
Master's/PhD degree in aerospace engineering, mechanical engineering, or related discipline
Embed with client teams to map data, decompose processes, and define and prioritize agentic use cases, architecting and building solutions from scoping through production and handoff.
Compensation
Pay Range USD $129,400.00 - USD $220,400.00 /Yr.
Responsibilities
Embed with client teams
Map their data, decompose their processes, and define and prioritize the use cases worth building
Translate priorities into agentic solutions that create value for the business
Architect and build agent workflows, tool and data integrations, evaluation harnesses, and the plumbing connecting it to Cherre's platform
Own delivery end to end from scoping through production and handoff
This role keeps today's critical services running while helping build the cloud native, automated, multi-cloud platform that replaces legacy services. The focus shifts toward platform engineering and project delivery as the platform matures.
Compensation
The estimated base compensation range for this position is $78,000 to $98,000 per year.
Responsibilities
Maintain cloud infrastructure as code using Terraform and Bicep across Azure and GCP
Support CI/CD pipelines in Azure DevOps and GitHub Actions for infrastructure and application deployments
Manage containerized workloads on AKS, GKE, and Azure Container Apps
Support and provide design feedback for solutions with scalability, resilience, and multi-cloud portability in mind
Build AI agents and automation that handle routine operations, alert triage, and remediation
Apply formal verification to real customer systems, helping formalize specifications, build and check proofs, and improve tooling for Argo to reason about complex architectures and code at scale.
Compensation
The salary for this position is estimated to be $100,000 to $150,000 per year, prorated for the duration of the internship.
Responsibilities
Support forward deployed engineers in deploying and configuring Argo for customers across cloud, on-prem, or hybrid environments.
Help translate customer system data and architecture artifacts into schemas and models that formal methods tools (SMT and SAT solvers, theorem provers) can reason about.
Prototype and evaluate LLM-powered workflows, including prompt design and tool calling, that connect customer data to automated reasoning.
Build and test front-end features and internal tools that make system models, constraints, and verification results understandable and actionable for customers.
Turn what you learn from customer engagements into documentation, product feedback, and contributions to Atalanta’s forward deployment playbook.
Requirements
Bachelor’s program in computer science, software engineering, mathematics, or a related field
Master’s program in computer science, software engineering, mathematics, or a related field
PhD program in computer science, software engineering, mathematics, or a related field
Work alongside forward deployed engineers and applied mathematicians to bring Argo into customer environments and help users apply formal methods to their own systems. This role combines technical skill, user empathy, and clear communication to support missions that matter.
Compensation
The salary for this position is estimated to be $100,000 to $150,000 per year, prorated for the duration of the internship.
Responsibilities
Support forward deployed engineers in deploying and configuring Argo for customers across cloud, on-prem, or hybrid environments
Help translate customer system data and architecture artifacts into schemas and models that formal methods tools (SMT and SAT solvers, theorem provers) can reason about
Prototype and evaluate LLM-powered workflows, including prompt design and tool calling, that connect customer data to automated reasoning
Build and test front-end features and internal tools that make system models, constraints, and verification results understandable and actionable for customers
Turn what you learn from customer engagements into documentation, product feedback, and contributions to Atalanta’s forward deployment playbook
Requirements
Bachelor’s program in computer science, software engineering, mathematics, or a related field
Master’s program in computer science, software engineering, mathematics, or a related field
PhD program in computer science, software engineering, mathematics, or a related field
Full Stack Engineer 4 (Manager IC) - Operational Risk
McLean, VA: $197,300 - $225,100 for Full-stack Engineer 4
Richmond, VA: $179,400 - $204,700 for Full-stack Engineer 4
Responsibilities
Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Provide technical leadership and direction across Agile teams, setting standards for design, development, and operational excellence
Serve as a technical mentor to junior staff in one or more department focus areas, coordinating training and delivering a strategy for maintaining bench depth in department capabilities.
Independently translate customer needs into project objectives and instructions for ETG analysts and developers, assemble and lead multi-disciplinary technical teams, track team performance, and review team products for quality and accuracy.
Work side-by-side with the Aerospace program office and interface with government leaders, contractors, other government agencies, other program offices, and the Aerospace Engineering and Technical Group (ETG) to address issues and provide the customer with the best available technical analyses and recommendations.
Requirements
B.S degree in aerospace engineering
B.S degree in electrical engineering
B.S degree in systems engineering
B.S degree in mathematics
Nice to have: Graduate degree in aerospace engineering
Standard and alternate work schedules, including telework options
401(k) Plan — Employees receive a total company-paid benefit of 8%, 10%, or 12% of eligible compensation based on years of service and matching contributions; employees are immediately eligible and vested in the plan upon hire
Standard and alternate work schedules, including telework options
401(k) Plan — Employees receive a total company-paid benefit of 8%, 10%, or 12% of eligible compensation based on years of service and matching contributions; employees are immediately eligible and vested in the plan upon hire
Partner with architects to define service boundaries, integration patterns, and reusable frameworks
Requirements
Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
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