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Remote Research Engineer Jobs in Austin, TX (NOW HIRING)

Senior Java Engineer (Remote)

Austin, TX ยท Remote

$123K - $163K/yr

... including research, design, technology insertion, development, testing and supporting them ... Empathy with developers. Innate desire to create a superlative developer experience down to the ...

AI/ML Engineer - Remote

Austin, TX ยท Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while ...

Lead Engineer, AI Attack Simulation

Austin, TX ยท On-site +1

$101K - $133K/yr

Lead Engineer, AI Attack Simulation Remote [within the US] ABOUT THE ROLE: HiddenLayer is seeking a ... You will partner closely with Product Management and Security Research to shape product strategy ...

Showing results 21-40

Remote Research Engineer information

See Austin, TX salary details

$36.7K

$105.1K

$141.2K

How much do remote research engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote research engineer in Austin, TX is $105,080.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,100.00 and $103,100.00 per year, depending on experience, location, and employer.

What is a remote research engineer?

A Remote Research Engineer is a professional who conducts research and develops new technologies, algorithms, or solutions while working remotely. They typically work in fields like artificial intelligence, machine learning, software development, or scientific research. Their responsibilities include designing experiments, analyzing data, and collaborating with teams using digital communication tools. This role requires strong problem-solving skills, self-motivation, and proficiency in programming or research methodologies. Remote Research Engineers often contribute to cutting-edge advancements while maintaining flexibility in their work environment.

What skills and qualifications are needed to thrive as a remote research engineer?

A Remote Research Engineer typically needs a strong background in scientific research methods, programming, data analysis, and a relevant degree in engineering or a related field. Familiarity with statistical software, cloud-based collaboration tools, and experience with programming languages such as Python or MATLAB are often required, with additional certifications in machine learning or data science considered advantageous. Excellent written and verbal communication, problem-solving abilities, and self-motivation are key soft skills for success in remote environments. These competencies enable effective independent work, high-quality research output, and seamless collaboration within distributed teams.

What are some unique challenges faced by remote research engineers and how can they be overcome?

Remote Research Engineers often encounter challenges related to collaborating across different time zones, ensuring clear communication, and maintaining access to necessary data or computational resources. To overcome these issues, it's important to leverage project management tools, establish regular virtual meetings, and proactively document and share research findings with the team. Strong time management and self-discipline are also essential to balance deep-focus research tasks with collaborative discussions. Organizations usually provide virtual platforms and cloud infrastructure to support seamless work, but developing personal workflows for communication and resource access can further enhance effectiveness in the role.

Do you need a PhD to be a remote research engineer?

A PhD is not strictly required to be a remote research engineer, but many roles prefer candidates with advanced degrees in relevant fields such as engineering, computer science, or data science. Practical experience, strong technical skills, and proficiency with research tools and programming languages are often more important for these positions.

What are the most commonly searched types of Research Engineer jobs in Austin, TX?

The most popular types of Research Engineer jobs in Austin, TX are:

What are popular job titles related to Remote Research Engineer jobs in Austin, TX?

For Remote Research Engineer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Remote Research Engineer jobs in Austin, TX look for?

The top searched job categories for Remote Research Engineer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Remote Research Engineer jobs?

Cities near Austin, TX with the most Remote Research Engineer job openings:

Infographic showing various Remote Research Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $105,080 per year, or $50.5 per hour.

Senior Backend Engineer (Go/AWS) Remote U.S.

Urrly

Austin, TX โ€ข Remote

$150K - $170K/yr

Full-time

Posted 8 days ago


Job description

Senior Backend Engineer (Go/AWS) Remote U.S.

Join a lean engineering team building production systems around medical-grade wearable physiology data the APIs, SDKs, cloud infrastructure, auth flows, and data pipelines that help researchers, clinicians, coaches, and enterprise organizations make better decisions about health and performance.

This is a hands-on senior backend IC role for a strong Go engineer who can move quickly, reason through distributed systems, and ship reliable software in a compliance-aware environment. You will work within an architecture set by senior technical leaders, own well-scoped backend workstreams end-to-end, and help turn complex biometric data flows into dependable product and platform capabilities.

The Opportunity

We are early in our commercial journey and building the kind of engineering team where strong individual contributors have direct impact. You will not be joining to manage people, own the entire architecture, or build prototypes that never ship. You will be joining to execute on production-critical backend work across a real health-tech platform spanning firmware, cloud systems, mobile and web applications, developer APIs, and SDK infrastructure.

You'll work closely with senior technical leaders and help unblock meaningful platform priorities: integrating partner algorithms, improving backend data flows, attaching APIs to existing product capabilities, strengthening infrastructure, and shipping features that support enterprise and consumer-facing use cases.

Why This Role Is Worth Your Attention
  • Work on wearable physiological data systems where reliability and quality matter.
  • Own real backend work across Go services, APIs, AWS infrastructure, data pipelines, auth systems, and developer-facing surfaces.
  • Join a fully remote, distributed U.S. team with no specific U.S. location requirement.
  • Collaborate with experienced technical leaders while staying in a hands-on IC path.
  • Use modern AI-assisted engineering workflows, including tools such as Claude or Cursor depending on your preferences.
  • Earn a $160,000 base salary, with final compensation dependent on experience, skill level, and assessment performance.
What You Will Own Backend APIs & Services
  • Design, build, and ship Go-based backend services that support consumer-facing and enterprise-facing product surfaces.
  • Develop and maintain REST and gRPC APIs, async workers, SDK auth flows, and service integrations.
  • Translate product and platform needs into simple, reliable, testable backend implementations.
Platform Infrastructure & DevOps
  • Work within and improve AWS infrastructure, including services such as ASGs, Aurora, ElastiCache, SQS, S3, and CloudWatch.
  • Contribute to CI/CD pipelines, zero-downtime deployment patterns, autoscaling systems, and operational reliability.
  • Help the platform scale as data volume, enterprise usage, and global infrastructure needs grow.
Security & Compliance Engineering
  • Build and harden authentication and authorization systems, including JWTs, OAuth flows, sessions, and API key management.
  • Implement backend controls such as rate limiting, audit logging, access control, and secure client-facing data access.
  • Contribute to a compliance-aware engineering environment, including SOC 2 and HIPAA-related practices.
Developer Platform & External APIs
  • Extend and maintain developer-facing APIs, SDK backend systems, enterprise integrations, and API key workflows.
  • Help attach APIs to existing and emerging platform capabilities so customers and partners can use data effectively.
  • Support systems that make biometric data accessible, understandable, and reliable for approved client use cases.
Data Systems & Observability
  • Work across relational and NoSQL databases, data export pipelines, ingestion flows, and structured logging.
  • Debug performance and reliability issues across distributed components.
  • Improve observability so the team can understand platform health, trace failures, and resolve issues quickly.
B2B Platform & Admin Systems
  • Build backend capabilities for organization lifecycle management, user provisioning, activation, onboarding, and adherence reporting.
  • Support multi-organization hierarchy management and enterprise administration workflows.
  • Help finish important platform features that are currently backlogged because senior engineering capacity is focused elsewhere.
What Makes You a Strong Fit
  • You have strong, production-tested Go engineering experience.
  • You have built and operated backend services, APIs, and data systems in AWS.
  • You understand distributed systems well enough to debug issues across services, queues, databases, storage, and client-facing APIs.
  • You are comfortable with relational and NoSQL databases, messaging or event systems, and infrastructure-as-code workflows.
  • You have solid authentication and authorization fundamentals, including token lifecycle, session management, OAuth, and API key management.
  • You can own scoped backend work from definition through deployment without needing close management.
  • You communicate tradeoffs, progress, and blockers clearly.
  • You are comfortable working in a lean startup environment where priorities can shift and engineers are expected to keep moving.
  • You can use AI-assisted coding workflows effectively, including managing multiple coding agents or model-assisted tasks where useful.
  • You are willing to complete a live coding assessment as part of the process.
Nice-to-Haves
  • Experience in health tech, wearables, biometric data, IoT, or device-connected software.
  • Background with HIPAA, SOC 2, GDPR, or other compliance-aware engineering environments.
  • Experience with high-throughput data upload, ingestion, transformation, or export systems.
  • Developer platform experience, including SDKs, external APIs, enterprise integrations, or API management.
  • Familiarity with AI/ML platform infrastructure, MCP servers, or model-facing backend systems.
  • Exposure to mobile-connected systems involving iOS, Android, firmware, or device data flows.
What Success Looks Like
  • You come up to speed quickly on an existing codebase and start shipping useful backend work.
  • You take ownership of scoped API, infrastructure, auth, data pipeline, and reliability improvements from definition through deployment.
  • You build software that is simple, maintainable, testable, and appropriate for a compliance-aware platform.
  • You help senior engineers stay focused by independently knocking out important platform work that has clear context and business value.
  • You earn trust over time through strong engineering judgment, clear communication, and reliable execution.
Location, Work Model & Compensation
  • Remote / distributed role for candidates in the United States.
  • Full-time position.
  • Base salary: $150,000$170,000 Yearly..
  • Final compensation depends on experience, skill level, and assessment performance.
Compensation

The expected total compensation range is USD 150,000170,000 Yearly.

At Urrly, fairness matters. We use AI to review every application against the same clear requirements for the role. Candidates are evaluated only on job-related factors such as skills, certifications, and experience, not personal attributes.

Apply now and get a response within 24 hours.