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Remote Software Defined Radio Engineer Jobs in Spring Branch, TX

AI Engineer

San Antonio, TX · On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0246114 Location: San Antonio,TX,US Share job via: Share AI Engineer The Opportunity: As an AI Engineer, you will integrate AI-enabled capabilities into existing software ...

Engineering Manager

Bulverde, TX · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Futurex is looking for an Engineering Manager to lead a team of software/firmware engineers ... Experience managing distributed/remote engineering teams * Background in cryptography, PKI, HSMs ...

Protection and Control Engineer

TX · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

While this is a full remote position, there is preference for candidates located in the Northern ... Proficient software experience should include Easy Power, SKM Powertools, ETAP, Aspen, and EMTP.

DevSecOps Engineer

San Antonio, TX · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... are a fully remote company running on AWS and Salesforce, with a growing cloud presence. We are ... You do not need to be a software engineer. * Systems administration depth in an identity provider ...

New

Senior AI & Machine Learning Engineer

San Antonio, TX · On-site +1

$143K - $273K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... engineering, or software development experience implementing data solutions. * Extensive ...

Showing results 41-60

Remote Software Defined Radio Engineer information

See Spring Branch, TX salary details

$53.9K

$125.2K

$174.4K

How much do remote software defined radio engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote software defined radio engineer in Spring Branch, TX is $125,219.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,900.00 and $146,800.00 per year, depending on experience, location, and employer.

What does a remote software defined radio engineer do?

A Remote Software Defined Radio (SDR) Engineer designs, develops, and maintains radio communication systems that are implemented through software rather than traditional hardware circuits. Working remotely, they use programming languages and signal processing techniques to create flexible and efficient radio solutions for applications such as telecommunications, defense, and research. Their responsibilities include developing algorithms, optimizing radio performance, troubleshooting signal issues, and collaborating with cross-functional teams, all while leveraging remote communication and development tools.

What is the difference between Remote Software Defined Radio Engineer vs RF Engineer?

AspectRemote Software Defined Radio EngineerRF Engineer
CredentialsBachelor's/Master's in Electrical Engineering, Communications, or related fields; experience with SDR platformsBachelor's/Master's in Electrical Engineering, RF Engineering, or related fields; certifications like FCC or RF-specific training
Work EnvironmentRemote or on-site, focused on software development and signal processingPrimarily on-site or lab-based, focused on hardware, testing, and RF system design
Industry UsageTelecommunications, defense, aerospace, software companiesWireless communications, broadcasting, defense, telecommunications

The Remote Software Defined Radio Engineer specializes in developing and implementing SDR systems through software, often working remotely. In contrast, the RF Engineer focuses on hardware design, testing, and deployment of RF systems. Both roles require technical expertise but differ mainly in their focus on software versus hardware components.

What are some typical challenges faced by remote software defined radio engineers, and how can they be addressed?

Remote Software Defined Radio (SDR) Engineers often encounter challenges such as managing complex signal processing tasks, ensuring reliable communication across distributed teams, and staying updated with evolving SDR technologies. Working remotely may also require effective collaboration using digital tools and clear documentation to align with colleagues on system design and troubleshooting. To overcome these challenges, SDR Engineers benefit from proactive communication, regular code reviews, and ongoing professional development through webinars and technical forums.

What are the key skills and qualifications needed to thrive as a remote software defined radio engineer, and why are they important?

To thrive as a Remote Software Defined Radio Engineer, you need a strong background in electrical engineering, digital signal processing, and RF communications, typically supported by a relevant degree. Proficiency with SDR platforms (such as GNU Radio, USRP, or MATLAB), wireless protocols, and programming languages like Python or C++ is essential. Strong problem-solving, independent work ethic, and effective remote communication skills help set candidates apart. These abilities are crucial for designing, implementing, and troubleshooting complex radio systems in distributed and collaborative environments.

What cities near Spring Branch, TX are hiring for Remote Software Defined Radio Engineer jobs?

Cities near Spring Branch, TX with the most Remote Software Defined Radio Engineer job openings:

AI Engineer

Booz Allen Hamilton, Inc.

San Antonio, TX • On-site, Remote

$99K - $225K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 11 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description


Remote Work:
No
Job Number:
R0246114
Location:
San Antonio,TX,US
Share job via:
Share
AI Engineer
The Opportunity:
As an AI Engineer, you will integrate AI-enabled capabilities into existing software systems by connecting models, inference endpoints, agent orchestration components, and intelligent autonomous workflows to production applications. You will implement AI features using established software engineering patterns, ensuring these capabilities operate reliably, securely, and efficiently within distributed systems.
In this role, you will help evolve AI solutions from traditional LLM-based interactions to autonomous, goal-oriented, and multi-agent systems by leveraging agent orchestration frameworks, Retrieval-Augmented Generation (RAG), Knowledge Graphs (KGs), and fine-tuned Small Language Models (SLMs). You will contribute to evaluation and monitoring approaches, refine integration workflows, collaborate with cross-functional teams, and develop scalable AI functionality that brings intelligent, production-ready AI solutions from concept into real-world environments.
Join us. The world can't wait.
You Have:
  • 3+ years of experience developing and maintaining production software systems in Python
  • Experience designing and implementing intelligent AI agent architectures using LangChain, LangGraph, AutoGen, MCP, or A2A
  • Experience building RAG solutions with KGs and fine-tuning SLMs using ONNX, GGML, or Ollama
  • Experience integrating LLMs, external APIs, and distributed services into production environments with optimized inference workflows
  • Experience developing AI evaluation frameworks, integration tests, and production validation using ReAct and human-in-the-loop methodologies
  • Knowledge of secure HTTP APIs, OAuth2, JWT, API Keys, containerization, and CI/CD pipelines
  • Ability to travel up to 25% of the time
  • TS/SCI clearance
  • Bachelor's degree in CS, Engineering, or Data Science
  • DoD 8140 baseline Level II Certification such as Security+, CySA+, CISSP, or DoD Cyber Workforce Framework Certification

Nice If You Have:
  • Experience supporting DoW clients or other federal mission environments
  • Experience with advanced agentic patterns, including prompt caching, guardrails, agentic memory, Model Context Protocol (MCP), and agentic deployment strategies
  • Experience with end-to-end chatbot or agent to agent (A2A) development
  • Experience with enterprise data and ML platforms such as Databricks or Snowflake
  • Experience creating and managing large data processing pipelines
  • Master's degree

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914