AI Systems

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

AI Systems Palo Alto, CA About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role As a Member of Technical Staff, AI Systems, you will develop state-of-the-art architectural components, write their bespoke implementations for our unconventional software framework, and map them efficiently down to the physical silicon. You are critical to preparing our software stack for upcoming tapeouts by acting as the bridge between model architecture and physical compute. What You'll Do - AI Architectural Modeling: Co-design and evaluate next-generation AI models (e.g, transformers, diffusion, flow, and energy-based models). You will collaborate closely across the team to combine, modify, and implement core modeling components, including both conventional (e.g., attention, normalization, Mixture-of-Experts, FFNs) and unconventional components. You will ensure that they function optimally across our novel compute substrates. - Performance Modeling & Scaling: Establish and test scaling laws specific to our novel hardware. Develop rigorous performance models to evaluate compute vs. memory trade-offs - Advanced

Read the full description at unconv.ai. FewerJobs shows a preview and links to the original posting.