Full-Time
Lead Frontend Engineer
Zyphra
51-200 employees
Open-source AI company building multimodal agents
No salary listed
San Francisco, CA, USA
In Person
Relocation and immigration support available on a case-by-case basis.
 Software Engineering (1) |
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- Strong frontend engineering skills with fluency in HTML, CSS, and JavaScript/TypeScript
- Experience with modern frontend frameworks such as React
- Demonstrated attention to UI detail and usability, with a user-first mindset
- Ability to prototype and iterate quickly, both in code and with design tools like Figma
- Experience designing and developing responsive, accessible, and high-performance interfaces
- Strong intuition for human-computer interaction principles, accessibility, and visual clarity
- Excellent collaboration and communication skills—especially with engineers, designers, and ML researchers
- Design and development of browser-based and desktop interfaces
- Building and maintaining component libraries and styling systems
- Researching and refining user flows based on real-world usage and feedback
- Prototyping and implementing UI features in collaboration with ML, backend, and systems teams
- Making a complex AI product feel simple, accessible, and empowering for a wide range of users
- Experience designing or building browser extensions or desktop applications (e.g., Electron, Tauri)
- Experience with mobile platforms and responsive design (not required but helpful)
- Prior work on products involving complex workflows, automation, or agentic behavior
- Interest or experience in backend development, APIs, or AI systems to better interface with the full stack
- Familiarity with accessibility standards and inclusive design best practices
- A track record of launching polished and user-loved products
- Passion for systems-level thinking: building reusable design systems, libraries, and scalable patterns
- A clear, opinionated eye for elegant design and user delight
Zyphra builds open-source, open-science AI focused on multimodal models and efficient systems that run on a wide range of hardware. It develops autonomous agent platforms for enterprises to enable conversational AI, automation, and offline-personalized assistants. Its Maia project blends neural architectures with long-term memory, reinforcement learning, and continual learning for text and audio modalities. Zyphra also releases open-source assets like Zamba, Zamba2-2.7B, and Zyda data, and is backed by investors to support offline, hardware-flexible AI with transparent research resources.
Company Size
51-200
Company Stage
N/A
Total Funding
N/A
Headquarters
San Francisco, California
Founded
2019
Simplify's Take
What believers are saying
- AMD MI355X delivers 35x inference gains since October 2025, boosting Zyphra Cloud throughput.
- Hugging Face reports 40% Q1 2026 rise in MoE model downloads, driving ZAYA1-8B adoption.
- IBM Cloud's February 2026 Polara upgrades cut latency 60%, accelerating Maia super-agent training.
What critics are saying
- AMD integrates Zyphra's kernels into MI355X firmware within 12-24 months, commoditizing platform.
- DeepSeek R1-0528 and Mistral Small-4-119B beat ZAYA1-8B benchmarks, shifting developers in 6-12 months.
- Google DeepMind poaches Zyphra's ex-Anthropic talent in 6-12 months, halting Maia development.
What makes Zyphra unique
- Zyphra builds full-stack AI platform on AMD MI355X GPUs via TensorWave for long-context agents.
- ZAYA1-8B MoE model uses under 1B active parameters, rivaling Nemotron-3-Nano-30B on reasoning.
- ZUNA open-sources EEG-to-text brain-computer interface model outperforming spline interpolation.
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Growth & Insights and Company News
6 month growth
↑ 3%1 year growth
↑ 0%2 year growth
↑ 21%Zyphra has released ZUNA, a foundation model for brain-computer interfaces that processes electroencephalography data and advances towards thought-to-text communication. The 380-million-parameter diffusion autoencoder model reconstructs high-fidelity brain signals from imperfect EEG data, improving diagnostics and research workflows. ZUNA works across various EEG systems, from consumer headsets to 256-electrode research equipment, predicting missing channels from sparse inputs. The model outperforms traditional spherical-spline interpolation methods, particularly with incomplete or noisy data. The San Francisco-based company released ZUNA as open-source software under an Apache 2.0 licence, with model weights available on Hugging Face and code on GitHub. Zyphra is seeking collaborations to improve future versions for specific use cases across medical devices, neuroscience research and consumer neurotechnology sectors.
IBM and AMD have partnered with Zyphra, an AI startup valued at $1 billion after its Series A funding, to provide next-generation AI infrastructure. The multi-year agreement includes deploying a large cluster of AMD Instinct MI300X GPUs and AMD Pensando network accelerators on IBM Cloud. The first phase was delivered in September, with expansion planned for 2026. Zyphra will use this to train its 'Maia' super-agent for enhancing business productivity through language, image, and sound processing.
VB Transform 2024 returns this July! Over 400 enterprise leaders will gather in San Francisco from July 9-11 to dive into the advancement of GenAI strategies and engaging in thought-provoking discussions within the community. Find out how you can attend here. Zyphra Technologies is announcing the release of Zyda, a massive dataset designed to train language models. It consists of 1.3 trillion tokens and is a filtered and deduplicated mashup of existing premium open datasets, specifically RefinedWeb, Starcoder, C4, Pile, Slimpajama, pe2so, and arxiv. The company claims its ablation studies reveal that Zyda performs better than the datasets it was built on. An early dataset version powers Zyphra’s Zamba model and will eventually be available for download on Hugging Face.Image credit: Zyphra“[We] came up with Zyda when [we] were trying to create a pretraining dataset for [our] Zamba series of models,” Zyphra Chief Executive Krithik Puthalath tells VentureBeat in an email