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webAI

Lead iOS Engineer

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In-Office
Austin, TX
In-Office
Austin, TX

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About Us:

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. 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. 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.

About the Role:

We’re looking for a Lead iOS Engineer to own and elevate our iOS application—from architecture and performance to on-device ML inference and delightful, high-fidelity UI. You’ll lead technical direction, set quality bars, and mentor engineers while building a fast, reliable, offline-first product experience. This is a hands-on role: you’ll ship code, review code, and make the hard calls that keep the app smooth, scalable, and maintainable.

What you’ll do

  • iOS technical leadership: Define architecture, engineering standards, and delivery practices for a high-quality iOS codebase.

  • Build best-in-class Swift/SwiftUI experiences: Create polished, responsive UI with strong state management, clean composition, and modular design.

  • Performance & animation excellence: Ensure buttery-smooth interactions (scrolling, transitions, gestures), optimize render pipelines, and aggressively reduce jank, dropped frames, and memory pressure. Obsess about the animation and performance.

  • On-device inference optimization: Implement and optimize ML inference pipelines with a focus on latency, battery, thermal limits, memory usage, and throughput.

  • CoreML / MLX integration: Build reliable inference flows using CoreML and modern ML stacks (including MLX where appropriate), managing model formats, quantization strategies, and runtime constraints.

  • Metal-enabled acceleration: Use Metal (and related GPU tooling) to accelerate graphics or computation where it meaningfully improves user experience and performance.

  • Offline-first architectures: Design robust offline flows with local persistence, sync strategies, conflict resolution, and resilient background behavior.

  • Observability & quality: Establish performance monitoring, crash/error reporting, regression testing, and release processes that keep quality high as the product scales.

  • Cross-functional collaboration: Partner closely with product, design, and backend to translate goals into crisp technical plans and deliver reliably.

  • Mentor and raise the bar: Coach iOS engineers through pairing, code reviews, and thoughtful guidance; drive a culture of craftsmanship and velocity.

What we’re looking for

  • 6+ years of professional iOS development experience, including significant ownership of a production iOS app.

  • Strong expertise in Swift and SwiftUI, with demonstrated ability to build complex, high-performance interfaces.

  • Deep understanding of iOS performance: Instruments, Time Profiler, memory leaks, frame pacing, rendering costs, concurrency, and energy impact.

  • Experience building offline-first mobile apps: persistence layers, background tasks, sync engines, and reliability under poor network conditions.

  • Familiarity with Metal (or strong graphics/GPU optimization instincts) and when to apply it.

  • Practical experience shipping on-device ML features using CoreML (and/or related inference runtimes), including model lifecycle and optimization considerations.

  • Strong software engineering fundamentals: architecture patterns, testability, maintainability, and thoughtful API design.

  • Proven leadership: driving technical direction, mentoring, and making pragmatic tradeoffs to ship.

Nice to have

  • Experience with MLX or modern on-device ML toolchains (quantization, distillation, model compression, latency tuning).

  • Experience building advanced animations or custom rendering (Core Animation, Metal shaders, SwiftUI performance tuning).

  • Experience with secure local storage, encryption at rest, and privacy-sensitive mobile features.

  • Background in real-time systems, graphics pipelines, or compute-heavy mobile workloads.

We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. 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.

  • Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.

Benefits:

  • Competitive salary and performance-based incentives.

  • Comprehensive health, dental, and vision benefits package.

  • 401k Match (US-based only)

  • $200/mos Health and Wellness Stipend

  • $400/year Continuing Education Credit

  • $500/year Function Health subscription (US-based only)

  • Free parking, for in-office employees

  • Unlimited Approved PTO

  • Parental Leave for Eligible Employees

  • Supplemental Life Insurance


webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

HQ

webAI Austin, Texas, USA Office

515 Congress Ave, Austin, Texas, United States, 78701

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

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