ZipRecruiter

Log In

2

Remote Memory Design Engineer Jobs in Ashburn, VA

System One

Be Seen First

PLATFORM DESIGN ANALYST - 100% REMOTE

Merrifield, VA · Remote

Platform Design Systems Analyst 100% Remote Rate is Negotiable Curates and advances the design ... This role bridges design, engineering, product, accessibility, and leadership within the platform ...

AnaVation

Senior Forensic Developer

Washington, DC · On-site +1

In this role, you will design and build the specialized forensic software that powers federal ... memory analysis, and mobiledevice parsing. * Engineer automation frameworks to enhance ...

AnaVation

Senior Forensic Developer

Washington, DC · Remote

In this role, you will design and build the specialized forensic software that powers federal ... memory analysis, and mobile‑device parsing. * Engineer automation frameworks to enhance ...

Eliassen Group

ETL Data Engineer

Tysons, VA · Remote

$70 - $88/hr

Hybrid 3 days onsite / 2 days remote in Mclean, VA Our client seeks an ETL Data Engineer to build ... Design agent harnesses that combine LLM reasoning with deterministic execution including skill or ...

Knexus

AI Software Engineer (Remote)

Vienna, VA · Remote

... Engineer with 6-8 years of experience to join our AI applications team. This is a fully remote ... Collaborative Design & Implementation : You will collaboratively design, implement, and test AI ...

Ad Hoc LLC

Engineer Lead (Dynamics 365) - Remote

Mclean, VA · On-site +1

$103K - $136K/yr

Engineer Lead This is a remote position. Ad Hoc is a technology company that empowers organizations ... At Ad Hoc, remote life empowers our teams to design work environments that fit their lives and that ...

Ad Hoc

Engineer Lead (Dynamics 365) - Remote

Mclean, VA · Remote

$103K - $136K/yr

Engineer Lead This is a remote position. Ad Hoc is a technology company that empowers organizations ... At Ad Hoc, remote life empowers our teams to design work environments that fit their lives and that ...

Parsons

Bridge Designer, Principal

Washington, DC · On-site +1

About Parsons Parsons is a leading provider of engineering, design, and program management services ... Ability to work collaboratively in a multi-disciplinary team and coordinate with remote team ...

kgs

Middleware Engineer (REMOTE)

Chantilly, VA · Remote

Design, develop, test, and deploy custom middleware solutions, integration proxies, protocol ... Engineer custom connectors, REST and SOAP APIs, scripts, and integration libraries that facilitate ...

Koniag, Inc.

Middleware Engineer (REMOTE)

Chantilly, VA · On-site +1

Design, develop, test, and deploy custom middleware solutions, integration proxies, protocol ... Engineer custom connectors, REST and SOAP APIs, scripts, and integration libraries that facilitate ...

next page

Showing results 1-20

All JobsMemory Design Engineer JobsRemote Memory Design Engineer JobsRemote Memory Design Engineer Jobs in Ashburn, VA

Remote Memory Design Engineer information

See Ashburn, VA salary details

$82.3K

$144.5K

$297.1K

How much do remote memory design engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for remote memory design engineer in Ashburn, VA is $144,546.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,100.00 and $161,600.00 per year, depending on experience, location, and employer.

What is the difference between Remote Memory Design Engineer vs Memory Architect?

AspectRemote Memory Design EngineerMemory Architect
CredentialsBachelor's or Master's in Electrical Engineering or Computer EngineeringBachelor's or Master's in Electrical Engineering, Computer Engineering, or related fields; often with specialized certifications
Work EnvironmentDesign teams, R&D labs, semiconductor companies, often collaborative and project-basedHigh-level planning, system-level design, often in R&D or architecture teams
Industry UsageUsed in semiconductor, electronics, and hardware development companiesPrimarily in chip design, hardware architecture firms, and large tech companies

The Remote Memory Design Engineer focuses on designing and optimizing memory components at the circuit level, while the Memory Architect develops overall memory system architectures and strategies. Both roles require strong technical skills, but the Design Engineer is more hands-on with hardware implementation, whereas the Architect works on high-level design and system integration.

What are the key skills and qualifications needed to thrive as a Remote Memory Design Engineer, and why are they important?

To thrive as a Remote Memory Design Engineer, you need a solid understanding of digital circuit design, semiconductor memory architecture, and a degree in electrical or computer engineering. Familiarity with EDA tools like Cadence and Synopsys, as well as experience with hardware description languages such as Verilog or VHDL, are typically required. Strong problem-solving abilities, attention to detail, and effective remote communication skills set outstanding candidates apart. These skills ensure the ability to design reliable, high-performance memory circuits while collaborating efficiently with distributed teams.

What are some common challenges faced by remote memory design engineers, and how can they be addressed?

Remote memory design engineers often encounter challenges such as collaborating effectively with globally distributed teams, managing complex hardware-software integration remotely, and ensuring clear communication on intricate design specifications. These obstacles can be addressed by leveraging collaborative design tools, participating in regular virtual meetings, and maintaining thorough documentation to align with team members. Proactive communication and strong organizational skills are crucial for staying synchronized with project milestones and quickly resolving technical issues.

What does a Remote Memory Design Engineer do?

A Remote Memory Design Engineer is responsible for designing and developing memory components, such as DRAM, SRAM, or Flash, used in electronic devices and systems. Working remotely, they collaborate with hardware and software teams to optimize memory performance, power consumption, and reliability. Their work often includes circuit design, simulation, validation, and troubleshooting. They also stay updated on the latest memory technologies and may contribute to documentation and technical support.
What are the most commonly searched types of Memory Design Engineer jobs in Ashburn, VA? The most popular types of Memory Design Engineer jobs in Ashburn, VA are:
What are popular job titles related to Remote Memory Design Engineer jobs in Ashburn, VA? For Remote Memory Design Engineer jobs in Ashburn, VA, the most frequently searched job titles are:
What job categories do people searching Remote Memory Design Engineer jobs in Ashburn, VA look for? The top searched job categories for Remote Memory Design Engineer jobs in Ashburn, VA are:
Remote Memory Design Engineer jobs near you
Infographic showing various Remote Memory Design Engineer job openings in Ashburn, VA as of June 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 35% Physical, 3% Hybrid, and 62% Remote job distribution, with an average salary of $144,546 per year, or $69.5 per hour.

AI Infrastructure Engineer

Bright Vision Technologies

Herndon, VA • Remote

$100K - $150K/yr

Full-time

Posted 6 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.
Key Responsibilities
  • Profile and optimize end-to-end AI training and inference pipelines for throughput, latency, and cost.
  • Identify and eliminate bottlenecks across data loading, model compute, communication, and memory.
  • Implement and tune quantization, sparsity, and pruning strategies to reduce model footprint and accelerate inference.
  • Optimize distributed training using tensor parallelism, pipeline parallelism, FSDP, and ZeRO-style sharding.
  • Tune attention implementations using Flash Attention, paged attention, and related techniques.
  • Implement KV cache optimization, continuous batching, and speculative decoding for LLM serving.
  • Drive compiler-level optimizations using Triton, XLA, Torch Inductor, or TVM, working with the broader ML framework community to land improvements that translate into measurable end-to-end performance gains.
  • Optimize data pipelines, sharding strategies, and storage access patterns for high-throughput training.
  • Build and maintain rigorous benchmark suites and regression frameworks across workloads.
  • Collaborate with ML and platform engineering teams to embed best practices in standard pipelines.
  • Drive cost-efficiency improvements through model architecture, hardware selection, and scheduling strategies.
  • Evaluate new hardware and software offerings and advise on adoption.
  • Document performance tuning playbooks and share findings broadly across engineering teams.
  • Stay current with AI systems to research and translate advances into production improvements.
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.

Apply