Symbolica

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About
Symbolica is building a new foundation for enterprise-scale AI that is controllable, interpretable, reliable, and secure. They are redesigning how machines learn, moving away from next-token prediction used by LLMs like ChatGPT, Claude, and Gemini. Symbolica's cognitive architecture models multi-scale generative processes, incorporating explicit episodic memory for more reliable inference and reduced hallucinations. Their models are designed for complex formal language tasks and enable continuous interaction with validators, interpreters, and debuggers, allowing for better control and data privacy.
Platform
Task
Features
• explicit episodic memory
• continuous control and guidance
• reliable and compliant
• symbolic reasoning
• structured cognition
Job Opportunities
Founding Software Engineer – GPU & Compilers (relocation to London)
Symbolica is building the new foundation for enterprise-scale AI — controllable, interpretable, reliable, and secure. They are redesigning how machines learn from the ground up.
Benefits:
competitive compensation
attractive equity package
Other Requirements:
Must be available to relocate and work onsite at our brand-new London office
Responsibilities:
Developing and optimizing GPU kernels for high-performance symbolic reasoning and numerical algorithms using CUDA.
Designing and implementing domain-specific compiler optimizations for GPU acceleration, ensuring efficient transformation and execution of symbolic computation workloads.
Collaborating with mathematicians and researchers to design highly efficient implementations of complex algorithms.
Analyzing and optimizing GPU performance, focusing on memory management, thread utilization, compiler-generated optimizations, and computation throughput.
Building and maintaining scalable, reusable GPU-accelerated libraries tailored for symbolic reasoning workloads.
Show more details
Founding Software Engineer – GPU & Compilers (relocation to London)
Symbolica is building the new foundation for enterprise-scale AI — controllable, interpretable, reliable, and secure. They are redesigning how machines learn from the ground up.
Benefits:
competitive compensation
attractive equity package
Other Requirements:
Must be available to relocate and work onsite at our brand-new London office
Responsibilities:
Developing and optimizing GPU kernels for high-performance symbolic reasoning and numerical algorithms using CUDA.
Designing and implementing domain-specific compiler optimizations for GPU acceleration, ensuring efficient transformation and execution of symbolic computation workloads.
Collaborating with mathematicians and researchers to design highly efficient implementations of complex algorithms.
Analyzing and optimizing GPU performance, focusing on memory management, thread utilization, compiler-generated optimizations, and computation throughput.
Building and maintaining scalable, reusable GPU-accelerated libraries tailored for symbolic reasoning workloads.
Show more details
Founding Software Engineer – GPU & Compilers (relocation to London)
Symbolica is building the new foundation for enterprise-scale AI — controllable, interpretable, reliable, and secure. They are redesigning how machines learn from the ground up.
Benefits:
competitive compensation
attractive equity package
Other Requirements:
Must be available to relocate and work onsite at our brand-new London office
Responsibilities:
Developing and optimizing GPU kernels for high-performance symbolic reasoning and numerical algorithms using CUDA.
Designing and implementing domain-specific compiler optimizations for GPU acceleration, ensuring efficient transformation and execution of symbolic computation workloads.
Collaborating with mathematicians and researchers to design highly efficient implementations of complex algorithms.
Analyzing and optimizing GPU performance, focusing on memory management, thread utilization, compiler-generated optimizations, and computation throughput.
Building and maintaining scalable, reusable GPU-accelerated libraries tailored for symbolic reasoning workloads.
Show more details
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