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Remote Low Latency Network Engineer Jobs in Virginia

RIVA Solutions Inc.

Low Code AI Engineer

Reston, VA · Remote

Remote within the United States Terms: Full-time Clearance: U.S. Citizenship required and ability to obtain and maintain a Federal Public Trust investigation Travel: 0-10% RESULTS. INNOVATION. VALUES.

Maximus

Lead Network Architect

Springfield, VA · On-site +1

This role is hybrid, allowing for remote work, but requires the ability to work onsite when needed ... Minimum Education requirement: - Bachelor's degree in Network Engineering, Information Technology ...

Maximus

Lead Network Architect

Springfield, VA · On-site +1

This role is hybrid, allowing for remote work, but requires the ability to work onsite when needed ... Minimum Education requirement: - Bachelor's degree in Network Engineering, Information Technology ...

TalentRemedy

Ground Station Lead

Herndon, VA · Remote

LEONS (Low Earth Orbit Navigation System) is their ground-to-space positioning, navigation, and ... Experience with outdoor / remote site engineering including NEMA/IP-rated enclosures, thermal ...

New

TalentRemedy

Ground Station Lead

Herndon, VA · Remote

$139K - $172K/yr

LEONS (Low Earth Orbit Navigation System) is their ground-to-space positioning, navigation, and ... Experience with outdoor / remote site engineering including NEMA/IP-rated enclosures, thermal ...

New

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All JobsLow Latency Network Engineer JobsRemote Low Latency Network Engineer JobsRemote Low Latency Network Engineer Jobs in Virginia

Remote Low Latency Network Engineer information

What is the difference between Remote Low Latency Network Engineer vs Remote Network Operations Center (NOC) Technician?

AspectRemote Low Latency Network EngineerRemote Network Operations Center (NOC) Technician
CredentialsNetworking certifications (e.g., CCNA, CCNP)Networking certifications (e.g., CompTIA Network+)
Work EnvironmentDesigning, optimizing, and maintaining low latency networksMonitoring and troubleshooting network issues in real-time
Industry UsageFinance, gaming, trading firms requiring minimal delayTelecom, ISPs, enterprise networks

While both roles involve networking skills and certifications, the Remote Low Latency Network Engineer focuses on designing and optimizing networks for minimal delay, often in high-frequency trading or gaming sectors. The Remote NOC Technician primarily monitors and troubleshoots existing networks to ensure uptime and performance. The engineer's role is more proactive and design-oriented, whereas the technician's role is reactive and operational.

What are the most commonly searched types of Low Latency Network Engineer jobs in Virginia? The most popular types of Low Latency Network Engineer jobs in Virginia are:
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Remote Low Latency Network Engineer jobs near you

AI Infrastructure Engineer

Bright Vision Technologies

Sterling, VA • Remote

$100K - $150K/yr

Full-time

Posted 7 days ago

Job description

AI Infrastructure Engineer- Remote
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. 
 
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. 
Job Title: AI Infrastructure Engineer
Location: 100% Remote (United States)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
Experience: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. 
Job Summary
We are seeking an AI Performance Optimization Engineer to focus on extracting maximum throughput, minimizing latency, and reducing cost across training and inference workloads for large neural network systems. The role spans the full stack from low-level kernel optimization to distributed system tuning, requiring deep understanding of GPU architecture, model parallelism, memory management, and compiler-level optimization. The ideal candidate has demonstrated an impact on production of AI workloads, with strong instrumentation and measurement discipline that enables rigorous, data-driven optimization decisions. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production.
Required Qualifications
  • Bachelor\'s or master\'s degree in computer science, Computer Engineering, or related field.
  • Six or more years of experience in performance engineering, ML systems, or HPC.
  • Strong proficiency in Python and C++.
  • Hands-on experience optimizing deep learning workloads on modern GPUs.
  • Deep understanding of distributed training and inference techniques.
  • Experience with profiling tools across CPU, GPU, and distributed systems.
  • Familiarity with model compression techniques and their accuracy implications.
  • Strong grasp of memory hierarchies, communication primitives, and parallelism strategies.
  • Excellent measurement, debugging, and analytical reasoning skills.
  • Strong communication and collaboration skills.
Preferred Qualifications
  • Experience optimizing LLM inference at production scale.
  • Contributions to vLLM, TensorRT-LLM, DeepSpeed, or similar projects.
  • Familiarity with custom kernel authoring in Triton or CUTLASS.
  • Experience with FinOps for AI workloads.
  • Publications or talks on AI systems performance.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to boon@bvteck.com or contact us at (908) 650-6699. Learn more about Bright Vision Technologies at www.bvteck.com. 
 
Bright Vision Technologies is an Equal Opportunity Employer. 
 

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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