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Remote Wireless Research Engineer Jobs (NOW HIRING)

CEI

Aruba Wireless Network Engineer

Pittsburgh, PA · On-site +1

... remote sites. The role emphasizes leading wireless architecture efforts, supporting network ... Engineer and maintain Aruba ClearPass solutions for authentication, authorization, posture ...

Sumo Logic

Staff Threat Research Engineer

Incident responder or detection engineer roles * Demonstrated ability to progress threat research ... Prior experience in customer-facing technical roles (consulting, remote support, or advisory)

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Engineering at the Pennsylvania State University is accepting applications for part-time research ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Engineering at the Pennsylvania State University is accepting applications for part-time research ...

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All JobsRemote Wireless Research Engineer Jobs

Remote Wireless Research Engineer information

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$37K

$106K

$142.5K

How much do remote wireless research engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for remote wireless research engineer in the United States is $106,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $104,000.00 per year, depending on experience, location, and employer.

What does a Remote Wireless Research Engineer do?

A Remote Wireless Research Engineer is responsible for studying, designing, and developing new wireless communication technologies, often while working remotely. They analyze wireless signal protocols, optimize network performance, and contribute to advancements in areas such as 5G, IoT, or Wi-Fi. Their work may include running simulations, developing prototypes, and collaborating with other engineers to solve complex technical problems. These engineers play a key role in improving the reliability, speed, and security of wireless networks, enabling better connectivity for devices and users.

What are some common challenges faced by a Remote Wireless Research Engineer, and how can they be addressed?

One common challenge for Remote Wireless Research Engineers is ensuring effective collaboration with multidisciplinary teams while working remotely. Since much of the research involves coordination with hardware, software, and network specialists, clear communication and proactive updates are essential. Additionally, staying current with rapidly evolving wireless technologies and standards can be demanding, so regularly participating in virtual conferences and training is beneficial. Adopting collaborative tools and establishing routine check-ins helps maintain alignment and drive successful project outcomes.

What is the difference between Remote Wireless Research Engineer vs Wireless Systems Engineer?

AspectRemote Wireless Research EngineerWireless Systems Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science; knowledge of wireless protocolsBachelor's or Master's in Electrical Engineering, Computer Science; expertise in wireless systems
Work EnvironmentResearch labs, remote collaboration, R&D teamsDesign, testing, and deployment in labs or field
Employer & Industry UsageTech companies, research institutions, telecom firmsTelecom providers, hardware manufacturers, network providers
Search & Comparison IntentResearch, innovation, wireless protocol developmentSystem design, deployment, network optimization

The Remote Wireless Research Engineer focuses on developing new wireless technologies and protocols in research settings, often working remotely. In contrast, the Wireless Systems Engineer applies wireless knowledge to design, implement, and optimize wireless networks and systems. Both roles require similar educational backgrounds and industry experience but differ in their primary focus—research versus practical deployment.

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

To excel as a Remote Wireless Research Engineer, a strong background in wireless communication principles, signal processing, and a degree in electrical engineering or a related field are essential. Familiarity with technical tools such as MATLAB, Python, wireless simulation platforms, and knowledge of protocols like 5G or Wi-Fi, as well as relevant certifications (e.g., CWNA), are typically required. Strong problem-solving abilities, self-motivation, and effective remote communication skills distinguish top performers in this role. These competencies are vital for advancing wireless technology solutions, conducting independent research, and collaborating efficiently with distributed teams.
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Remote Wireless Research Engineer jobs near you

AI Research Engineer: Vision AI / VLM / Physical AI

Centific

Remote

$209K/yr

Full-time

Posted 24 days ago

Job description

About Centific
Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem-comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets-to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.
Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.
About Job
AI Research Engineer: Vision AI / VLM / Physical AI
Company: Centific
Location: Seattle, WA (or Remote)
Type: Full-time
Build the Future of Perception & Embodied Intelligence
Are you pushing the frontier of computer vision, multimodal large models, and embodied/physical AI-and have the publications to show it? Join us to translate cutting-edge- research into production systems that perceive, reason, and act in the real world.
The Mission
We are building state of- t-heart Vision AI across 2D/3D perception, egocentric/360° understanding, and multimodal reasoning. As an AI Research Engineer, you will own high- -leverage experiments from paper → prototype → deployable module in our platform.
We are seeking passionate Engineersto join our cutting-edge labs, you could be part of :
Computer Vision team as a Research Engineer and dive into the world of 3D reconstruction, scene understanding, and visual AI. You'll explore innovative techniques like those used to transform real-world spaces into immersive 3D models-such as the 3D Reconstruction projects -and work with cutting-edge architectures like VGG-T (Visual Geometry Grounded Transformers), known for advancing deep learning in vision tasks. This role is perfect for those excited to develop AI systems that interpret, reconstruct, and interact with the visual world, using state-of-the-art tools and methodologies. Physical AI Robotics team, where you'll work at the intersection of simulation, robotics, and AI. You'll leverage NVIDIA's Omniverse for advanced 3D simulation and collaboration, Isaac Sim for robotics training and testing, and GR00T for foundation models in robotics. Experience with Holoscan SDK for real-time medical and industrial robotics pipelines, Newton Physics for dynamic simulation, and NVIDIA's NERD for neural robot dynamics will be a plus. This role is ideal for those eager to push the boundaries of AI-driven robotics using state-of-the-art tools and frameworks.
What You'll Do
  • Advance Visual Perception: Build and fine-tune models for detection, tracking, segmentation (2D/3D), pose & activity recognition, and scene understanding (incl. 360° and multi-view).
  • Multimodal Reasoning with VLMs: Train/evaluate vision-language models (VLMs) for grounding, dense captioning, temporal QA, and tooluse; design retrieval- augmented and agentic loops for perception- action- tasks.
  • Physical AI & Embodiment: Prototype perception-in-the-loop policies that close the gap from pixels to actions (simulation + real data). Integrate with planners and task graphs for manipulation, navigation, or safety workflows.
  • Data & Evaluation at Scale: Curate datasets, author high-signal evaluation protocols/KPIs, and run ablations that make results irreproducible impossible.
  • Systems & Deployment: Package research into reliable services on a modern stack (Kubernetes, Docker, Ray, FastAPI), with profiling, telemetry, and CI for reproducible science.
  • Agentic Workflows: Orchestrate multi-agent pipelines (e.g., -LangGraphstyle graphs) that combine perception, reasoning, simulation, and -codeg eneration to -selfc heck and -selfcorrect-.

Example Problems You Might Tackle
  • Long horizon- video understanding (events, activities, causality) from egocentric or 360° video.
  • 3D scene grounding: linking language queries to objects, affordances, and trajectories.
  • Fast, privacy preserving perception for -ondevice- or edge inference.
  • Robust multi-modal evaluation: temporal consistency, open-set detection, uncertainty.
  • Vision conditioned- policy evaluation in sim (Isaac/MuJoCo) with sim2real stress tests.

Minimum Qualifications
  • Masters/Ph.D in CS/EE/Robotics (or related), actively publishing in CV/ML/Robotics (e.g., CVPR/ICCV/ECCV, NeurIPS/ICML/ICLR, CoRL/RSS).
  • Strong PyTorch (or JAX) and Python; comfort with CUDA profiling and mixed precision- training.
  • Demonstrated research in computer vision and at least one of: VLMs (e.g., LLaVA style, video- language- models), embodied/physical AI, 3D perception.
  • Proven ability to move from paper → code → ablation → result with rigorous experiment tracking.

Preferred Qualifications
  • Experience with video models (e.g., TimeSFormer/MViT/VideoMAE), diffusion or 3D GS/NeRF pipelines, or SLAM/scene reconstruction.
  • Prior work on multimodal grounding (referring expressions, spatial language, affordances) or temporal reasoning.
  • Familiarity with ROS2, DeepStream/TAO, or edge inference optimizations (TensorRT, ONNX).
  • Scalable training: Ray, distributed data loaders, sharded checkpoints.
  • Strong software craft: testing, linting, profiling, containers, and reproducibility.
  • Public code artifacts (GitHub) and first-author publications or strong open source- impact.

Our Stack (you'll touch a subset)
  • Modeling: PyTorch, torchvision/lightning, Hugging Face, OpenMMLab, xFormers
  • Perception: YOLO/Detectron/MMDet, SAM/Mask2Former, CLIP-style backbones, optical flow
  • VLM / LLM: Vision encoders + LLMs, RAG for video, toolformer-/agent loops
  • 3D / Sim: Open3D, PyTorch3D, Isaac/MuJoCo, COLMAP/SLAM, NeRF/3DGS
  • Systems: Python, FastAPI, Ray, Kubernetes, Docker, Triton/TensorRT, Weights & Biases
  • Pipelines: LangGraph-like orchestration, data versioning, artifact stores

What Success Looks Like
  • A publishable or open-sourced outcome (with company approval) or a production-ready module that measurably moves a product KPI (latency, accuracy, robustness).
  • Clean, reproducible code with documented ablations and an evaluation report that a teammate can rerun end-to-end.
  • A demo that clearly communicates capabilities, limits, and next steps.

Why Centific
  • Real impact: Your research ships-powering core features in our MVPs and products.
  • Mentorship: Work closely with our Principal Architect and senior engineers/researchers.
  • Velocity + Rigor: We balance top-tier research practices with pragmatic product focus.

Salary : $140K - $150K Annually
Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

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