webAI

webAI

R&D Software Engineer

Austin, TX

Sponsorship not specifiedDetected 427 days ago
PythonMachine LearningNLPComputer VisionLLMsIntellectual PropertyElectrical EngineeringResearchCommunication

About the role

  • 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 highly technical and creative engineer who thrives in ambiguity and fast-paced environments.

Responsibilities

  • Rapidly design, build, and test software and AI prototypes for emerging technologies and product ideas.
  • Create proof-of-concept demos to validate feasibility and communicate value to internal stakeholders.
  • Collaborate cross-functionally with research, engineering, and product teams to align prototypes with strategic goals.
  • Document design processes, experimental results, and technical insights for internal knowledge sharing.

Requirements

  • 5+ years of experience in prototype development, ideally in an R&D or high-growth tech environment.
  • Proficiency in programming languages such as Python and C/C++.
  • Clear communication skills and ability to present technical ideas to varied audiences.
  • Proven success working in cross-functional teams and navigating technical ambiguity.
  • Bachelor's degree in Electrical Engineering, Computer Science, Physics, or a related technical field (Master's or PhD preferred).
  • Strong foundation in engineering principles, machine learning, and applied mathematics.
  • Experience working with AI technologies such as computer vision models, LLMs, or language processing.
  • Demonstrated ability to build and iterate on technical prototypes quickly and independently.

Nice to have

  • Prior work in startup or fast-paced R&D environments.
  • Experience with distributed AI systems or edge computing.
  • Entrepreneurial mindset with a passion for innovation.
  • Technical publications or patents related to AI or software development.
  • We seek individuals who exemplify the following:
  • Truth - Emphasizing transparency and honesty in every interaction and decision.
  • Ownership - Taking full responsibility for one's actions and decisions, demonstrating commitment to the success of our clients.
  • Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.

Compensation

  • Competitive salary

Benefits

  • Comprehensive health, dental, and vision benefits package
  • $200/month Health & Wellness stipend
  • Continuing Education support
  • $500/year Function Health subscription (U.S.-based employees only)
  • Flexible Time Off (FTO)
  • Parental leave for eligible employees
  • Supplemental life insurance
  • We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline.

Company info

  • webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI.
  • We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation.
  • We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business.
  • We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI.
  • Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models.

This listing is sourced directly from webAI's careers page and normalized into a canonical job model.