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Senior Staff Software Engineer - Kernels
Исключительная возможность для экспертов мирового уровня работать в перспективном стартапе над передовыми ИИ-чипами. Высокий балл за технологический стек и стратегическую важность роли, несмотря на требование гибридного формата работы.
Сложность вакансии
Высокая сложность обусловлена требованиями к глубоким знаниям архитектуры процессоров, опыта работы с SIMD/DSP и стажа более 10 лет. Роль Senior Staff подразумевает не только техническую экспертизу, но и лидерство в разработке критически важных компонентов стека ИИ.
Анализ зарплаты
Зарплата для позиций уровня Senior Staff в Белграде в сфере полупроводников и ИИ значительно выше среднего по рынку ИТ. Указанный диапазон отражает специфику высокотехнологичных R&D центров, где ценятся редкие навыки низкоуровневой оптимизации.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Staff Software Engineer - Kernels position at d-Matrix. With over a decade of experience in high-performance computing and a deep specialization in mapping complex AI algorithms to specialized hardware architectures, I am excited by the opportunity to contribute to your innovative AI compute engine. My background in developing optimized kernels for SIMD processors and my proficiency in C++ and Python align perfectly with the technical demands of this role.
Throughout my career, I have successfully navigated the complexities of hardware-software co-design, particularly in optimizing GEMM and SIMD operators for AI accelerators. Having worked with MLIR and LLVM frameworks, I understand the nuances of building robust compiler infrastructures that bridge the gap between high-level AI frameworks and underlying hardware. I am eager to bring my expertise in kernel development and my passion for generative AI to the collaborative and execution-driven team at d-Matrix.
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Описание вакансии
At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
The Role: Senior Staff Software Engineer - Kernels
Location:
Hybrid, working onsite at our Belgrade, Serbia, office 3-5 days per week.
What you will do:
The role requires you to be part of the team that helps productize the SW stack for our AI compute engine. As part of the software team, you will be responsible for the development, enhancement, and maintenance of software kernels for next-generation AI hardware. You possess experience building software kernels for HW architectures. You possess a very strong understanding of various hardware architectures and how to map algorithms to the architecture. You understand how to map computational graphs generated by AI frameworks to the underlying architecture. You have had past experience working across all aspects of the full-stack toolchain and understand the nuances of what it takes to optimize and trade off various aspects of hardware-software co-design. You can build and scale software deliverables in a tight development window. You will work with a team of compiler experts to build out the compiler infrastructure, working closely with other software (ML and systems) and hardware (mixed signal, DSP, and CPU) experts in the company.
What you will bring:
Minimum:
- MS in computer engineering, math, physics, or a related degree with 10+ years of industry experience or a PhD in computer engineering, math, physics, or a related degree with 1+ years of industry experience.
- Strong grasp of computer architecture, data structures, system software, and machine learning fundamentals.
- Proficient in C/C++ and Python development in Linux environments and using standard development tools.
- Experience implementing algorithms in high-level languages such as C/C++ and Python.
- Experience implementing algorithms for specialized hardware such as FPGAs, DSPs, GPUs, and AI accelerators using libraries such as CUDA, etc.
- Experience in implementing operators commonly used in ML workloads—GEMMs, Convolutions, BLAS, SIMD operators for operations like softmax, layer normalization, pooling, etc.
- Experience with development for embedded SIMD vector processors such as Tensilica.
- Self-motivated team player with a strong sense of ownership and leadership.
Preferred:
- Prior startup, small team, or incubation experience.
- Experience with ML frameworks such as TensorFlow and/or PyTorch.
- Experience working with ML compilers and algorithms, such as MLIR, LLVM, TVM, Glow, etc.
- Experience with a deep learning framework (such as PyTorch or TensorFlow) and ML models for CV, NLP, or recommendation.
- Work experience at a cloud provider or AI compute/subsystem company.
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
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Навыки
- C++
- Python
- Linux
- PyTorch
- TensorFlow
- FPGA
- CUDA
- Computer Architecture
- Algorithms
- DSP
- LLVM
- MLIR
- TVM
- SIMD
Возможные вопросы на собеседовании
Проверка понимания специфики работы с тензорными ядрами и оптимизации памяти.
Как бы вы оптимизировали операцию GEMM для архитектуры с ограниченным объемом локальной памяти (SRAM)?
Оценка опыта работы с современными компиляторными технологиями для ИИ.
Опишите ваш опыт работы с MLIR или LLVM при создании кастомных диалектов для ИИ-ускорителей.
Проверка навыков низкоуровневой оптимизации.
С какими основными трудностями вы сталкивались при векторизации кода для SIMD-процессоров, таких как Tensilica?
Понимание процесса интеграции софта и железа.
Как вы подходите к поиску компромиссов (trade-offs) между гибкостью программного обеспечения и эффективностью аппаратной реализации в процессе co-design?
Оценка лидерских качеств и умения работать в сжатые сроки.
Расскажите о случае, когда вам приходилось масштабировать разработку программных ядер в условиях жестких дедлайнов.
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