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Remote Asic Design Engineer Jobs in Virginia (NOW HIRING)

ICF

FHIR Engineer - Remote

Reston, VA · On-site +1

You will be expected to design, develop, test, and deploy Java applications that meet the needs of ... Work with test engineering team to assure product quality * Collaborate in a fast-paced Agile ...

QCi

Job Title Solutions Sales Engineer Location: Hoboken, NJ or Remote with Travel Division : Revenue ... Support the sales cycle through technical discovery, demos, solution design, and proposal inputs.

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All JobsRemote Asic Design Engineer JobsRemote Asic Design Engineer Jobs in Virginia

Remote Asic Design Engineer information

What are some common challenges faced by remote ASIC Design Engineers, and how can they be effectively managed?

Remote ASIC Design Engineers often encounter challenges such as coordinating across multiple time zones, ensuring effective communication with hardware and verification teams, and maintaining access to high-performance computing resources. To overcome these hurdles, it’s essential to use collaborative project management tools, establish clear communication protocols, and schedule regular sync meetings. Additionally, many companies provide secure remote access to lab resources and simulation tools, helping engineers stay productive and connected with their teams.

What is a Remote ASIC Design Engineer?

A Remote ASIC Design Engineer is a professional who designs Application-Specific Integrated Circuits (ASICs) while working remotely, often from home or another location outside of a traditional office. They are responsible for creating and verifying digital or analog circuit designs tailored to specific applications, such as telecommunications, automotive, or consumer electronics. These engineers use specialized hardware description languages (HDLs) like Verilog or VHDL and collaborate with teams using online tools for simulation, synthesis, and verification. Remote ASIC Design Engineers must have strong technical skills and the ability to communicate and coordinate effectively in a virtual work environment.

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

To thrive as a Remote ASIC Design Engineer, you need a solid background in digital circuit design, Verilog or VHDL programming, and a degree in electrical or computer engineering. Familiarity with EDA tools like Synopsys, Cadence, or Mentor Graphics, as well as experience in simulation, synthesis, and verification processes, is typically required. Strong problem-solving skills, effective communication, and the ability to collaborate virtually are standout soft skills for remote success. These competencies ensure efficient design cycles, high-quality deliverables, and seamless teamwork in distributed engineering environments.

What is the difference between Remote Asic Design Engineer vs Remote FPGA Design Engineer?

AspectRemote Asic Design EngineerRemote FPGA Design Engineer
Required CredentialsBachelor's/Master's in Electrical Engineering or Computer Engineering, FPGA/ASIC design experienceBachelor's/Master's in Electrical Engineering or Computer Engineering, FPGA/ASIC design experience
Work EnvironmentDesigning integrated circuits for manufacturing, often in semiconductor companiesDeveloping programmable logic designs, often in research or product development teams
Industry UsageSemiconductor, consumer electronics, automotiveTelecommunications, aerospace, embedded systems

Both roles require similar educational backgrounds and design experience, but the Remote Asic Design Engineer focuses on creating chips for mass production, while the Remote FPGA Design Engineer works on programmable logic devices. Their work environments and industry applications differ, aligning with their specific design goals.

What are the most commonly searched types of Asic Design Engineer jobs in Virginia? The most popular types of Asic Design Engineer jobs in Virginia are:
What are popular job titles related to Remote Asic Design Engineer jobs in Virginia? For Remote Asic Design Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Asic Design Engineer jobs in Virginia look for? The top searched job categories for Remote Asic Design Engineer jobs in Virginia are:
What cities in Virginia are hiring for Remote Asic Design Engineer jobs? Cities in Virginia with the most Remote Asic Design Engineer job openings:
Remote Asic Design Engineer jobs near you
Infographic showing various Remote Asic Design Engineer job openings in Virginia as of June 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 48% Physical, 3% Hybrid, and 49% Remote job distribution.
Senior Wireless Machine Learning Engineer, AI-RAN

Senior Wireless Machine Learning Engineer, AI-RAN

DeepSig Inc

Arlington, VA • On-site, Remote

Other

Posted 9 days ago

Job description

Description

Type: Full-Time(W2) On-site/Hybrid, Arlington, VA (Remote option available for the right candidate)


DeepSig is defining the future of wireless communications by merging deep learning with the Radio Access Network (RAN). We are seeking an experienced Technical Lead to architect and drive the development of our next-generation AI-native RAN.


In this role, you will design, prototype, and validate novel AI/ML components-such as neural receivers, neural beamforming, neural scheduling, digital twin, and ISAC (Integrated Sensing and Communications)-that outperform traditional signal processing methods. You will work at the cutting edge of 6G innovation, taking concepts from mathematical intuition to simulation (e.g. NVIDIA Sionna) and real-time implementation.


What You'll be Doing 

  • Applied AI Research: Design and train modern deep learning models (Transformers, Vision architectures, etc.) to solve complex physical layer problems, including channel estimation, MIMO detection, and beam management
  • Simulation & Validation: Build high-fidelity link-level simulations using NVIDIA Sionna and ray-tracing to train, test, and benchmark AI models against legacy 5G baselines
  • Prototyping & Deployment: Transition research models into deployable "dApps" for the Distributed Unit (DU), optimizing inference for latency and compute efficiency on NVIDIA GPUs
  • New Capabilities: Explore emerging AI-RAN frontiers such as Integrated Sensing and Communications (ISAC), neural scheduling, and channel digital twins
  • Innovation & IPR: Drive technical innovation by authoring invention disclosures, filing patents, and generating technical reports to support our standardization team in 3GPP and O-RAN Alliance contributions
  • Data Engineering: Architect data pipelines for generating synthetic training datasets and developing "Sim-to-Real" transfer techniques to ensure robust performance in real-world networks


Required Qualifications

  • Education: Ph.D. or Master's in Computer Science, Electrical Engineering, or Applied Mathematics with a focus on Deep Learning and/or Communications Systems
  • AI/ML Expertise: 3+ years of experience designing and training deep neural networks from scratch. Strong grasp of modern architectures and optimization techniques
  • Applied Signal Processing: Experience applying machine learning to real-time time-series data, signal processing, or physics-based problems (Audio, RF, or similar domains)
  • Research to Code: Proven ability to read academic papers and implement their methods in robust Python code
  • Simulation Skills: Experience with differentiable simulation or digital twins (e.g., Sionna, JAX-based physics sims)


Preferred Qualifications

  • Wireless Knowledge: Understanding of wireless fundamentals (OFDM, MIMO, IQ data) is highly helpful, though we prioritize strong ML intuition over pure communication theory
  • Performance Optimization: Experience with model quantization (FP16/INT8), pruning, or using TensorRT for real-time inference
  • Standardization Support: Experience writing technical whitepapers or supporting patent filings in a research environment
  • C++ Integration: Ability to write C++ bindings or integrate Python models into C++, SIMD, and Cuda production pipelines

Working at DeepSig


DeepSig is growing its technical team while cultivating a collaborative, agile, and fun small-team culture. We value creativity, knowledge sharing, and employee growth, and we encourage participation in scientific publications, conferences, and open-source software. We offer competitive salaries and benefits, an employee stock option grant program, an environment where we are excited to be transforming and disrupting how signal processing is done with AI/ML, a welcoming and inclusive environment, a flexible schedule, and a great work / life balance.


DeepSig is an equal-opportunity employer and does not discriminate based on race, ethnicity, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability. We are dedicated to cultivating an inclusive, diverse, and engaging workplace where individuals feel fulfilled, inspired, and motivated. We value the unique perspectives that our team brings.

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