ZipRecruiter

Log In

2

Remote Biomedical Engineering Jobs in Austin, TX

Atlas Copco

Field Service Engineer - Texas

Austin, TX · On-site +1

Your role As a Field Service Engineer - Texas, your mission is to provide expert repair services for our vacuum pumps and systems, delivering unmatched customer satisfaction and upholding the highest ...

previous page

Showing results 41-44

All JobsBiomedical Engineering JobsRemote Biomedical Engineering JobsRemote Biomedical Engineering Jobs in Austin, TX

Remote Biomedical Engineering information

See Austin, TX salary details

$40.6K

$94K

$138.8K

How much do remote biomedical engineering jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote biomedical engineering in Austin, TX is $93,974.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,800.00 and $115,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Biomedical Engineering vs Remote Clinical Engineering?

AspectRemote Biomedical EngineeringRemote Clinical Engineering
CredentialsBiomedical Engineering degree, certifications like CBETBiomedical Engineering or Clinical Engineering degree, certifications like CBET
Work EnvironmentDesign, research, and development remotely; some on-site for testingEquipment maintenance, troubleshooting, often remote support with some on-site visits
Employer & IndustryMedical device companies, research institutionsHospitals, healthcare facilities, medical equipment vendors
Search & Comparison IntentUnderstanding roles in medical device design and R&DSupporting and maintaining medical equipment remotely

Remote Biomedical Engineering focuses on designing and developing medical devices, often working remotely in research or development roles. In contrast, Remote Clinical Engineering involves supporting, maintaining, and troubleshooting medical equipment, typically with some on-site presence. Both roles require biomedical engineering credentials but differ in daily tasks and work environments.

What is remote biomedical engineering?

Remote biomedical engineering refers to the practice of designing, developing, and maintaining medical devices, software, and technologies from a location outside of a traditional healthcare or research facility. Professionals in this role often collaborate virtually with teams, use digital tools for diagnostics and analysis, and may provide remote support for medical equipment. This setup allows for greater flexibility and access to a wider range of expertise while still ensuring patient safety and device effectiveness.

Is there a high demand for remote biomedical engineers?

Remote biomedical engineering is experiencing increasing demand due to advancements in telehealth, medical device development, and digital health technologies. Employers seek professionals with skills in software, electronics, and regulatory compliance, making remote work opportunities more available in this field.

What are some unique challenges of working as a remote biomedical engineer, and how can they be managed?

Remote biomedical engineers often face challenges such as limited hands-on access to medical devices and equipment, which can make troubleshooting and testing more complex. To manage these challenges, many professionals rely on virtual collaboration tools, remote monitoring software, and detailed documentation to communicate with on-site teams. Regular video conferences and clear communication protocols help ensure that remote engineers remain aligned with project goals and timelines. Building strong relationships with local staff and staying proactive in seeking updates can also help overcome the distance barrier.

What are the key skills and qualifications needed to thrive as a remote biomedical engineer?

To thrive as a Remote Biomedical Engineer, a solid background in biomedical engineering principles, mathematics, and physiology, often supported by a relevant degree, is essential. Familiarity with technical tools such as CAD software, medical device regulations, telecommunication platforms, and possibly certifications like CBET are typically required. Strong problem-solving skills, effective communication, and self-motivation are crucial soft skills for collaborating virtually and managing projects independently. These abilities ensure the successful design, implementation, and support of medical devices and solutions while maintaining regulatory compliance and effective teamwork in a remote setting.

Can you work remotely as a biomedical engineer?

Remote biomedical engineering jobs are available, especially in roles involving software development, data analysis, or remote diagnostics. However, many positions require on-site work for equipment installation, maintenance, or clinical collaboration. The availability of remote work depends on the specific employer and job responsibilities.
What are the most commonly searched types of Biomedical Engineering jobs in Austin, TX? The most popular types of Biomedical Engineering jobs in Austin, TX are:
What are popular job titles related to Remote Biomedical Engineering jobs in Austin, TX? For Remote Biomedical Engineering jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Remote Biomedical Engineering jobs in Austin, TX look for? The top searched job categories for Remote Biomedical Engineering jobs in Austin, TX are:
What cities near Austin, TX are hiring for Remote Biomedical Engineering jobs? Cities near Austin, TX with the most Remote Biomedical Engineering job openings:
Remote Biomedical Engineering jobs near you
Infographic showing various Remote Biomedical Engineering job openings in Austin, TX as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $93,974 per year, or $45.2 per hour.

Sr Agentic AI Solutions Engineer

Advanced Micro Devices, Inc

Austin, TX • Remote

$103K - $142K/yr

Full-time

Posted 28 days ago

Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

27th of 156 rated electronics manufacturers

Job description


WHAT YOU DO AT AMD CHANGES EVERYTHING 

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.  Together, we advance your career.  



THE ROLE:

AMD's Software and Solutions Team is seeking a Senior Agentic AI Solutions Engineer to design, build, and deliver next-generation Agentic AI solutions built on AMD's heterogeneous computing portfolio. Working under the technical direction of AMD's Agentic AI Systems Architecture team, this role drives the hands-on development, integration, and performance optimization of end-to-end AI workflows that leverage AMD CPUs, GPUs, DPUs, networking, and software platforms to deliver secure, scalable, deterministic, and high-performance AI solutions for AMD's most strategic customers.

Working across AMD's AI software ecosystem—including AMD + AMD (A+A) and AMD + NVIDIA (A+N) environments—and leveraging ROCm™, AMD Zen Software Studio, AMD Enterprise AI, and AMD's open-source software initiatives, this engineer will translate architectural vision into working customer solutions, reference implementations, and early customer proof-of-concepts (PoCs) across enterprise, cloud, sovereign AI, and edge deployments. Delivered solutions will focus on execution, performance, efficiency, data integrity, and security, including governance, compliance, and AI sovereignty, while providing implementation feedback that helps shape AMD silicon and software roadmaps.

This is a deeply hands-on, customer-facing senior individual contributor role focused on solution delivery, technical implementation, and performance engineering. It is not a people management, program management, or alliance management position.

THE PERSON:

A deep hands-on engineer with strong expertise spanning AI infrastructure, virtualization systems, distributed systems, heterogeneous computing, intelligent data architectures, operating systems, cloud and Neo Cloud environments, networking, security architecture (including secure computing and cryptography), and large-scale AI platform design, complemented by broad experience across modern AI software stacks, enterprise solutions, and software engineering methodologies. This individual has a demonstrated history of delivering complex customer solutions and shipping working systems that span hardware, software, networking, security, and AI frameworks.

The ideal candidate understands how frontier foundation models, agentic reasoning systems, orchestration frameworks, intelligent data structures, and heterogeneous compute resources interact to deliver scalable, deterministic, trustworthy, and production-ready AI systems. They thrive in customer-embedded environments where they can turn architectural vision into working code, benchmarks, and customer proof-points leading through technical excellence, deep coding ability, and solution delivery alongside the Fellow-level architect.

KEY RESPONSIBILITIES:

  • Deliver on AMD's Agentic AI technical strategy across enterprise, cloud, sovereign AI, edge, and emerging AI deployment environments, translating architectural vision into working customer solutions, reference implementations, and PoCs.
  • Build and optimize end-to-end reference solutions that maximize heterogeneous execution across AMD CPUs, GPUs, DPUs, networking, memory, storage, and future accelerator technologies — supporting both AMD + AMD (A+A) and AMD + NVIDIA (A+N) deployment models.
  • Deliver intelligent multi-agent systems and orchestration frameworks that optimize execution across heterogeneous compute resources while balancing performance, latency, throughput, power efficiency, scalability, and cost.
  • Optimize Agentic AI execution end-to-end — task decomposition, multi-agent collaboration, workflow scheduling, reasoning pipelines, context management, token and inference efficiency, and resource allocation — balancing performance, cost, energy, security, and quality of service across heterogeneous AI infrastructure.
  • Implement innovative approaches for data optimization and intelligent data structures that improve retrieval efficiency, knowledge representation, inference performance, memory hierarchy utilization, and overall AI system scalability.
  • Deliver solutions that improve deterministic AI behavior, reduce hallucinations, and increase reliability, explainability, and trustworthiness of Agentic AI systems through grounding techniques, orchestration strategies, policy enforcement, validation frameworks, and intelligent workflow design.
  • Build trusted, secure AI solutions incorporating data provenance, data attestation, lineage tracking, governance, compliance, and AI sovereignty, leveraging confidential computing, trusted execution environments, hardware roots of trust, attestation, and cryptographic techniques.
  • Integrate frontier foundation models with retrieval systems, enterprise applications, orchestration frameworks, edge computing, sovereign AI environments, and hybrid cloud deployments.
  • Partner directly with strategic customers, hyperscalers, OEMs, ISVs, and open-source communities to embed, deliver, and validate AMD Agentic AI solutions in production-oriented environments, accelerating customer adoption and reference outcomes.
  • Partner with silicon architecture, software engineering, AI framework, and product management teams to provide implementation- and customer-driven feedback that informs future AMD silicon, software, and platform roadmaps.

PREFERRED EXPERIENCE:

  • Strong hands-on experience delivering large-scale AI infrastructure, distributed AI systems, cloud-native AI platforms, or enterprise AI solutions across heterogeneous computing architectures spanning CPUs, GPUs, DPUs, networking, storage, memory subsystems, virtualization, and cloud infrastructure.
  • Strong understanding of modern AI software ecosystems, including ROCm™, AMD Enterprise AI, AMD Zen Software Studio, frontier foundation models, LLM inference, Retrieval-Augmented Generation (RAG), vector databases, model serving, and AI orchestration frameworks.
  • Hands-on experience delivering Agentic AI solutions — multi-agent collaboration, orchestration frameworks, autonomous reasoning, planning, workflow optimization, and intelligent task execution.
  • Deep hands-on expertise in data optimization, intelligent data structures, knowledge representation, vector databases, and retrieval architectures supporting enterprise-scale AI systems.
  • Strong expertise in AI performance engineering — latency optimization, throughput, token efficiency, inference scalability, workload scheduling, and heterogeneous resource utilization.
  • Experience delivering methodologies that improve AI reliability through deterministic execution, hallucination mitigation, grounding, explainability, and trusted AI outcomes; working knowledge of confidential computing, trusted execution environments, attestation, data provenance, and enterprise AI security.
  • Deep hands-on coding ability with strong programming skills in Python, C, C++ and comfort in performance-critical code paths, profiling, and optimization.
  • Background as a solutions engineer, applications engineer, or technical consultant at a major systems or platform company (e.g., HP, Dell, or comparable) or a top-tier consulting/integration organization is a strong plus. Excellent written and verbal communication; comfort embedding with customer engineering teams and presenting to senior customer stakeholders.

ACADEMIC CREDENTIALS:

  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, Data Science, or related field preferred; advanced degree desired.

ALTERNATE LOCATION:

  • Santa Clara, CA

This role is not eligible for visa sponsorship.

#LI-TB1

#LI-Hybrid



Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

 

This posting is for an existing vacancy.

Qualifications:

Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

 

This posting is for an existing vacancy.

Education:UNAVAILABLEEmployment Type: FULL_TIME

What Advanced Micro Devices employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply