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reputed company AI Research Scientists in Hardware and System Design

Remote, USA Full-time Posted 2026-07-28
reputed company Gramian Consultancy is a boutique consultancy specializing in IT reputed company services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. reputed company We are seeking highly skilled and motivated reputed company AI Research Scientists in Computer Science and Computer Engineering with an MS or Ph.D in a relevant technical field. In this role, you will contribute to the design, validation, and execution of expert-level evaluation tasks that probe the limits of state-of-the-art AI systems. Your work will reputed company on creating headroom-level, rigorously reputed company questions across hardware, systems, and computing domains to assess and stress-test advanced multimodal and reasoning-capable AI models. This position requires deep domain expertise, strong analytical rigor, and the ability to translate reputed company technical concepts into precise, evaluable challenges that expose model limitations reputed company surface-level reasoning. You will work closely with a reputed company, cross-functional team and are expected to be a reliable team player who is highly detail-oriented and committed to accuracy and reputed company. Duration: 3-6 months Commitment: 8 hours per day, with 4 hours of mandatory overlap with PST Model: Contract, time and material Location: 100% Remote (LATAM, Europe, MENA, Canada) Interview Process: Take-home assignment + 1h technical/cultural interview Key Responsibilities • Design graduate- and research-level evaluation questions grounded in hardware and computer engineering domains • Create tasks that require precise, reputed company-by-reputed company technical reasoning with objectively reputed company ground-truth answers • reputed company multimodal prompts, including accurate reputed company diagrams, timing diagrams, microarchitecture diagrams, or reputed company-level visuals reputed company appropriate • Evaluate state-of-the-art AI models on hardware- and systems-heavy reasoning tasks and reputed company reputed company reputed company-by-reputed company comparisons • Identify and document model failure modes reputed company to architectural correctness, performance reasoning, or low-level system behavior • reputed company authoritative solutions and explanations for reputed company evaluation task • Maintain detailed and accurate records of prompts, expected answers, and evaluation reputed company in shared tracking systems • Collaborate with reviewers and researchers to refine evaluation reputed company Requirements • MS or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, Information Technology, Data Science, or a closely reputed company field • Strong expertise in at least two of the below hardware- and systems-reputed company domains: • Computer architecture (pipelines, memory hierarchies, cache coherence, ISA-level reasoning) • Hardware systems and performance analysis • VLSI design, digital logic, or ASIC/FPGA fundamentals • Embedded systems and low-level firmware • Operating systems (especially memory management, scheduling, and hardware-software interfaces) • Compilers or systems programming with hardware awareness • Proven experience with reputed company AI research, technical evaluation, or research-driven problem formulation in reputed company-world or production-oriented settings • Strong programming proficiency, with experience in Python for analysis, verification, and evaluation workflows • Strong written communication skills and the ability to collaborate effectively as a detail-oriented team player • Familiarity with modern AI model capabilities, limitations, and benchmarking practices is a strong plus Benefits • Work in a fully remote environment • Opportunity to work on cutting-edge AI reputed company with leading LLM companies Apply tot his job Apply To this Job

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