Algorithmic Engineer Jobs in Virginia (NOW HIRING)

Our client is seeking a Technical Program Manager (TPM) to drive complex, cross-functional engineering initiatives from concept through delivery. You will partner closely with software engineers, algorithm developers, data/ML teams, DevOps, and product managers to plan and orchestrate programs that build, scale, and improve our signal processing and analytics capabilities. Your background in software engineering and data processing/algorithm development enables you to engage deeply with technical decisions, clarify trade-offs, and keep teams aligned on outcomes.

This role is ideal for someone who thrives in ambiguous environments, adapts quickly, and brings the core TPM toolkit-structured planning, crisp communication, proactive risk management, and delivery excellence. Responsibilities: Program Ownership & Delivery Own end-to-end delivery of multi-team initiatives spanning processing pipelines, algorithm development, data products, and platform reliability. Define program scope, success metrics, dependencies, and milestones; maintain clear program plans and dashboards.

Drive regular planning, sequencing, and resource alignment; keep stakeholders informed with concise updates and transparent trade-offs. Technical Execution & Decision Support Translate product goals and technical requirements into executable plans; facilitate design reviews and decision records. Partner with engineering leads to unblock teams, manage interfaces and contracts, and ensure non-functional requirements (scalability, reliability, security) are embedded.

Risk, Quality & Governance Identify and mitigate risks early (architecture, compliance, data quality, performance) Establish and evolve program metrics and run operational cadences (standups, demos, postmortems). Cross-Functional Collaboration Coordinate across Technology teams including Product, System Operations, Algorithms, and Systems Engineering; align on priorities and release schedules. Communicate clearly to technical and non-technical audiences; create crisp briefs, change logs, and executive summaries.

Continuous Improvement Lead retrospectives to improve delivery processes, backlog hygiene, and release management. Champion repeatable programmatic practices tailored to team needs and standardize artifacts. Requirements Bachelor's Degree in Engineering or related field or equivalent experience 5+ years in technical program/project management or engineering leadership roles Hands-on experience in software engineering or data processing/algorithm development.

Technical Fluency: Ability to understand system architecture, APIs, pipelines, and algorithmic trade-offs; comfortable facilitating design discussions and documenting decisions. RF/Signal Experience: Exposure to RF signal processing, geolocation, spectrum monitoring, or satellite/space systems. TPM Fundamentals: Roadmapping, scoping, dependency management, risk/issue handling, status/reporting, stakeholder management, and delivery accountability.

Execution in Ambiguity: Demonstrated success leading programs with evolving requirements, complex dependencies, and cross-functional stakeholders. Process & Tools: Proficiency with backlog management, OKRs, and program tooling (e.g., Jira, Confluence, or equivalents). Communication: Excellent written and verbal communication; ability to create clear plans, dashboards, and executive updates

Desirable: Project Management Professional (PMP) Certification Data/ML Pipelines: Familiarity with batch/stream processing (e.g., Kafka, Spark), model deployment/monitoring, data quality frameworks, and MLOps. Cloud & DevOps: Experience with cloud-native architectures (AWS/Azure/GCP), CI/CD, infrastructure as code, and observability practices. Compliance & Reliability: Working knowledge of information security, data governance, and incident management

Domain Exposure: Geospatial analytics, remote sensing, or high-throughput data platforms. Benefits A compensation package that includes a competitive base salary plus annual performance bonus and benefits. We consider many factors when determining salary offers, such as candidate's work experience, education, training & skills, as well as market and business considerations.

We are also open to considering candidates with experience and qualifications at a different level than required in a job posting, which may affect the compensation package offered.