Distributed Computing

Distributed Computing Engineer Jobs

2 jobs found

Today

Software Engineer – Scalable Systems

Nightwing Intelligence Solutions, LLC Annapolis Junction, MD

Annapolis Junction, MD

Today

$99k - $206k/yr Full time Automation Cloud Cloud Native

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Job Description

Nightwing Intelligence Solutions, LLC is hiring a Software Engineer to build scalable, resilient systems for mission-critical operations in Annapolis Junction, MD (onsite).

Responsibilities

Design and develop scalable software systems for mission-critical operations
Apply machine learning models and AI-driven analytics to enhance signal processing and network analysis
Optimize performance for distributed computing, microservices, and containerized environments to maintain scalability and reliability
Collaborate with cross-disciplinary teams to integrate real-time, data-driven solutions into existing and new platforms
Deliver high-impact work on large-scale data pipelines, message brokering systems, and adaptive algorithms
Participate in internal reviews and contribute ideas to improve system performance and security
Prototype and iterate on automation, efficiency, and collaborative system concepts
Follow agile development practices and configuration management standards using modern DevSecOps tools and workflows

Requirements

STEM degree (Science, Technology, Engineering, Mathematics)
Proven experience building scalable and distributed systems, including containerized environments such as Kubernetes, Helm, and Podman
Cloud-native architecture experience
Programming proficiency in modern languages such as C++ and Python
Strong Linux-based development workflow experience
Solid foundation in data structures and algorithm design for resource-efficient solutions
Familiarity with secure DevSecOps workflows, CI/CD automation, and configuration management with Git
Strong communication and teamwork skills with a focus on innovation and collaboration
Active TS/SCI security clearance with Polygraph
U.S. citizenship required

Technologies

Machine learning models, AI-driven analytics
Distributed computing, microservices
Containerized environments: Kubernetes, Helm, Podman
Cloud-native architectures
C++, Python
Linux, Git
DevSecOps tools, CI/CD automation
TS/SCI security clearance with Polygraph
Data pipelines, message brokering systems, event-driven systems, messaging queues
Kafka
RESTful APIs, gRPC
Multithreading, parallel processing, asynchronous programming
Embedded software design

Benefits

Medical, vision and dental insurance coverage
401k plan
PTO
Holidays
Additional insurances

Security Clearance

Type: TS/SCI with Polygraph
Status: Active and existing security clearance required after day 1

Salary & Compensation

Salary range: USD 99,000 - 206,000 per year
Compensation is commensurate with qualifications, years of relevant experience, and demonstrated level of expertise

Qualifications We Prefer

Experience with machine learning frameworks and applying ML/AI models to analyze and simulate network traffic, signal processing, or other complex systems
Deep knowledge of event-driven systems, messaging queues (e.g., Kafka), and RESTful APIs or gRPC
Proven experience architecting and optimizing microservices and containerized systems
Familiarity with multithreading, parallel processing, and asynchronous programming best practices
Embedded software design and hardware integration experience
Prior success applying AI-driven projects to automate decision-making, detect anomalies, or improve performance at scale

Why Join Nightwing

Cutting-edge tools: Work with cloud computing, scalable architectures, and machine learning technologies
Mission-driven impact: Contribute directly to missions focused on safety and security
Innovation at scale: Tackle challenges in large-scale systems, real-time processing, and mission-critical applications
Collaborative culture: Work with engineers and service members in a dynamic environment that values creativity

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1mo ago

Lead Machine Learning Engineer

Capital One McLean, VA

McLean, VA

1mo ago Closed

$197k - $225k/yr Full time Manager Artificial Intelligence AWS

This position is no longer accepting applications (closed Sep 18, 2026).

Job Description

Capital One is hiring a Lead Machine Learning Engineer (Manager IC) for an onsite Agile team in McLean, VA to design and productionize foundation models using self-supervised learning for transformer architectures.

Responsibilities

Support detailed technical design, development, and implementation across model architecture, large-scale training, and representation learning for transformer-based foundation models
Develop and review model and application code; drive ML architectural decisions to ensure high availability and performance of production applications
Design, build, and/or deliver ML models and components that address real business needs while collaborating with Product and Data Science teams
Apply ML modeling knowledge to guide infrastructure decisions, including choices around model, data, feature selection, training, hyperparameter tuning, dimensionality, bias/variance, and validation
Address complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
Collaborate with a cross-functional Agile team to create and improve software supporting state-of-the-art big data and ML applications
Retrain, maintain, and monitor models once deployed in production
Leverage and/or build cloud-based architectures, technologies, and platforms to deliver optimized ML models at scale
Construct optimized data pipelines to feed ML models
Use continuous integration and continuous deployment practices, including test automation and monitoring, to support successful releases
Ensure code is well-managed to reduce vulnerabilities; support model governance from a risk perspective; follow Responsible and Explainable AI best practices
Use programming languages such as Python, Scala, or Java

Requirements

Bachelor’s Degree
6+ years designing and building data-intensive solutions using distributed computing (internship experience does not apply)
4+ years programming with Python, Scala, or Java
2+ years building, scaling, and optimizing ML systems

Technologies

Python, Scala, Java
scikit-learn, PyTorch, TensorFlow
Dask, Spark
AWS, Azure, Google Cloud Platform

Preferred Qualifications

Master’s or Doctoral Degree in computer science, electrical engineering, mathematics, or a related field
3+ years building production-ready data pipelines that feed ML models
3+ years on-the-job experience with an industry-recognized ML framework: scikit-learn, PyTorch, Dask, Spark, or TensorFlow
2+ years developing performant, resilient, and maintainable code
2+ years experience with data gathering and preparation for ML models
2+ years people leader experience
1+ years experience leading teams developing ML solutions using industry best practices, patterns, and automation
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
ML industry impact via conference presentations, papers, blog posts, open source contributions, or patents
Experience leveraging interactive AI tooling to accelerate productivity beyond basic code completion

Location and Compensation

Location: McLean, VA (onsite)
Salary Range: USD 197,300 - 225,100 per year
Eligible for performance-based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Additional Information

No agencies please
Capital One will not sponsor a new applicant for employment authorization or provide immigration related support for this position (including H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1, O-1, and other work authorization requiring employer support)
Expected application review window: minimum of 5 business days
Capital One is an equal opportunity employer (EOE), committed to non-discrimination in compliance with applicable federal, state, and local laws
Capital One promotes a drug-free workplace
Accommodation request: 1-800-304-9102 or RecruitingAccommodation@capitalone.com
Recruiting process support: Careers@capitalone.com

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