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Wireless Research Engineer Jobs (NOW HIRING)

M2 Solutions

Wireless Engineer

Herndon, VA · On-site

As a wireless engineer, you will be: * Creating, updating and maintaining all mobile endpoints and ... Conducting and evaluating results of R&D to evolve the wireless and WIDS service * Eliciting ...

New York University

Summer Research Scholar

New York, NY · On-site

$27/hr

Description PART TIME SUMMER RESEARCH SCHOLAR New York University Tandon School of Engineering The ... The ECE department at Tandon, with a track record of pioneering advanced research in wireless ...

Specter

ML Research Engineer

San Francisco, CA · On-site

To do so, we are creating a connected hardware-software ecosystem on top of multi-modal wireless ... Specter is hiring a perception AI engineer responsible for turning sensor data pipelines into ...

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How much do wireless research engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for 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 is a Wireless Research Engineer job?

A Wireless Research Engineer develops and improves wireless communication technologies, such as 5G, Wi-Fi, or IoT networks. They conduct research, design algorithms, and test new wireless protocols to enhance performance, efficiency, and security. The role involves simulations, prototyping, and collaboration with hardware and software teams. Engineers in this field work in industries like telecommunications, academia, or R&D labs to advance wireless connectivity.

What are the typical daily responsibilities of a Wireless Research Engineer?

Wireless Research Engineers typically spend their days designing and running experiments, developing algorithms, and analyzing data to advance wireless communication systems. They collaborate closely with other engineers, researchers, and sometimes product teams to prototype new technologies and support ongoing projects. Regular activities can include reading the latest scientific literature, writing technical reports, and presenting findings in team meetings. This role often offers a dynamic work environment with opportunities for hands-on lab work as well as involvement in strategic research discussions.

What are the key skills and qualifications needed to thrive in the Wireless Research Engineer position, and why are they important?

To thrive as a Wireless Research Engineer, you need strong expertise in wireless communication theory, signal processing, and a solid background in electrical engineering or computer science, often demonstrated by an advanced degree. Familiarity with simulation tools (such as MATLAB or NS-3), programming languages like Python or C++, and relevant industry certifications like IEEE Wireless Communications Professional are typical requirements. Analytical thinking, collaborative teamwork, and effective communication are vital soft skills for success in research-driven, interdisciplinary environments. These competencies are essential for solving complex technical challenges and driving innovation in wireless technologies.

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AI Research Engineer - Agentic AI

Bosch Group

Sunnyvale, CA • On-site

Full-time

Medical, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Company Description

    The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.
    As part of the global research organization, our AI research in Silicon Valley focuses on Foundation Models and Gen AI, Human-AI Collaboration and Trustworthy AI, AI for Advanced Driver-Assistance Systems (ADAS) and Autonomous Systems, AI Systems Engineering, and Industry AI. We develop scalable, intelligent, and trustworthy AI solutions to enable inspiring user experiences for Bosch products and services in application areas such as ADAS, smart manufacturing, enterprise AI, healthcare, smart home, and building solutions.
    Originating from Bosch AI research in Silicon Valley, our Vision and Language AI Groupadvances cutting-edge research in two core AI areas: large language models (LLMs) and 3D computer vision. In the LLM space, we focus on AI agents, retrieval-augmented generation, and effective adaptation of LLMs to Bosch domain-specific applications. In 3D vision, we advance spatial intelligence with 3D world models that perceive, reconstruct, and simulate the physical world, enabling reliable embodied control and sim-to-real transfer. By integrating these two areas, we aim to build intelligent systems that can perceive, reason, and communicate seamlessly across both language and spatial environments. We also actively collaborate with leading groups in academia and industry to promote research ideas and publish research findings in internationally renowned conferences and journals such as ACL, EMNLP, CVPR, ICCV, ECCV, NeurIPS, AAAI and CoRL.
    Job Description
    Responsibilities:
    • Design, build, and evaluate agentic AI systems that can plan, reason, act, and collaborate across tools and environments, including single- and multi-agent setups for complex, long-horizon tasks.
    • Develop robust agent harnesses and evaluation frameworks covering end-to-end testing, regression analysis, trace logging, replayability, and metrics for success, cost, latency, robustness, and safety.
    • Implement self-improving agent loops using reflection, critique, self-debugging, and iterative optimization strategies driven by agent experience, execution traces, and automated feedback.
    • Architect and optimize agent memory systems, including short-term and long-term memory, retrieval-augmented generation, summarization, compression, forgetting policies, and privacy-aware retention.
    • Enable reliable deployment of agents on constrained and edge environments, focusing on model/runtime optimization, partial or offline execution, secure tool-use, and seamless edge-cloud coordination.

    Qualifications
    Basic Qualifications
    • Bachelor or master's degree in computer science or engineering
    • Strong software engineering skills in Python
    • Hands-on experience with LLMs and agentic systems, such as tool-using agents, planner-executor patterns, multistep reasoning pipelines, RAG systems
    • Solid understanding of ML fundamentals and practical model usage, including prompting, evaluation, and error analysis
    • Ability to design experiments and interpret results, including ablations, statistical thinking, clear success criteria and measurable KPIs
    • Strong communication and documentation skills including clear write-ups, reproducible experiments, and crisp technical presentations

    Preferred Qualifications
    • 3+ years experiences in industrial research.
    • Experience with one or more of the following topics:
      • Agent frameworks
      • Structured generation
      • Agent memory management
      • Self-improving agents
      • LLM fine-tuning & reinforcement learning
      • Model optimization for edge
      • Harness engineering
    • Hands-on experience on production of AI systems

    Additional Information
    We offer a competitive base salary for this position with a range in US-California of --$165,000 - $180,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc.
    Your well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process.
    Learn more about our full benefits offerings by visiting: https://www.myboschbenefits.com/public/welcome .
    Equal Opportunity Employer, including disability / veterans.
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