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Research Engineer Jobs in Austin, TX (NOW HIRING)

The Research Engineering team works directly alongside Research Scientists to bring models to life. This position is dedicated to a high-impact systems role, providing the best of both worlds: deep ...

Senior Advanced AI Research Engineer

Austin, TX · On-site

$103K - $142K/yr

As a Senior Advanced AI Research Engineer, you sit at the boundary between AI systems research and production platform engineering. You investigate hard, open problems in agentic AI - and you close ...

As an R&D Software Engineer, you will be at the forefront of innovation at webAI. Rapidly turning cutting-edge research and conceptual ideas into functional prototypes. This role is ideal for a ...

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Research Engineer information

See Austin, TX salary details

$36.7K

$105.1K

$141.2K

How much do research engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for research engineer in Austin, TX is $105,055.00, 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 research engineer?

Research engineers are professionals who apply scientific and engineering principles to conduct research, develop new products, and improve existing technologies. They typically work in laboratories, research and development departments, or academic settings, collaborating with scientists and other engineers. Their work often involves designing experiments, analyzing data, and creating prototypes to solve technical problems or advance knowledge in their field.

Do I need a PhD to be a research engineer?

A PhD is not always required to become a research engineer, but it can be beneficial for roles involving advanced research, complex problem-solving, or specialized fields. Many research engineers hold a bachelor's or master's degree, along with relevant skills in programming, data analysis, and engineering tools. Industry experience and technical expertise are often equally important as formal education levels.

What is the difference between Research Engineer vs Data Scientist?

AspectResearch EngineerData Scientist
Required CredentialsTypically requires a master's or Ph.D. in engineering, computer science, or related fieldsUsually holds a master's or Ph.D. in statistics, computer science, or related areas
Work EnvironmentResearch labs, R&D departments, technology companiesData analysis teams, analytics departments, tech firms
Employer & Industry UsageUsed in engineering, manufacturing, aerospace, and tech industriesCommon in finance, healthcare, marketing, and tech sectors

Research Engineers focus on developing new technologies, prototypes, and engineering solutions, often working on hardware or system design. Data Scientists analyze large datasets to extract insights, build predictive models, and support decision-making. While both roles require strong technical skills and advanced degrees, their core functions and industry applications differ significantly.

What are the key skills and qualifications needed to thrive as a research engineer, and why are they important?

To thrive as a Research Engineer, a strong background in engineering principles, advanced mathematics, and scientific research—often supported by a relevant degree or postgraduate study—is essential. Familiarity with data analysis tools like MATLAB or Python, CAD software, and laboratory instrumentation is typically required, along with experience in technical report writing. Strong analytical thinking, creativity, and effective collaboration skills help Research Engineers excel in multidisciplinary teams. These competencies are vital for developing innovative solutions, advancing technology, and ensuring rigorous, impactful research outcomes.

How do research engineers typically collaborate with cross-functional teams during a project?

Research Engineers often work closely with scientists, data analysts, product managers, and software engineers to develop and implement innovative solutions. Collaboration usually involves regular meetings to align on project goals, sharing technical findings, and integrating research outcomes into product development. Effective communication and the ability to translate complex research concepts into actionable insights are key to ensuring the project progresses smoothly and meets its objectives.

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 Research Engineer jobs in Austin, TX?

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

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

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

Infographic showing various Research Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $105,055 per year, or $50.5 per hour.

Applied Research Engineer

Salesforce, Inc.

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 7 days ago


Salesforce rating

8.1

Company rating: 8.1 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

112th of 244 rated software companies


Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

About the Team

Salesforce AI is looking for talented software and platform engineers to embed in our AI team to bridge the gap between frontier AI technology and customer-facing reality. Do you want to build and deploy the next generation of services leveraging Generative AI and Agentic Systems? Do you thrive in an environment where your engineering skills directly enable world-class research and products used by millions?

At Salesforce, we are driving the development of Generative AI for CRM, focused on delivering AI-created content across every customer interaction at hyper-scale. This role is crucial to transforming our research breakthroughs into stable, secure, and production-ready applications.

The Research Engineering team works directly alongside Research Scientists to bring models to life. This position is dedicated to a high-impact systems role, providing the best of both worlds: deep technical challenge and massive, real-world scale. We believe that building substantive, scalable infrastructure is what enables scientific breakthroughs to spawn entirely new applications.

Learn more about our work at salesforceairesearch.com.

What You'll Do

  • Work alongside other motivated and talented research

  • engineers to bring cutting-edge theory into customer-facing practice.

  • Build tools and pipelines to support ML and AI efforts.

  • Design, build, deploy, and maintain production services, like APIs, UIs, agentic evaluators, and more.

  • Roll out scalable cloud architectures.

  • Help with end-user requirements gathering and executive presentations.


What We're Looking For

  • Strong abilities with Python and Linux, and some with React.

  • Experience with production cloud deployments like AWS or GCP. Kubernetes is a plus.

  • Experience field-debugging full-stack deployments.

  • Solid understanding of security principles and best practices.

  • UI and graphic design sensibilities are a plus.

  • Author high-quality, low-cognitive-load, fully-tested code - with- and without- AI assistance.

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best, and our AI agents accelerate your impact so you cando your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $197,300 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 - $344,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

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