Role Description We're looking for an exceptional Principal ASIC Architect to help define the future of AI inference hardware. You will collaborate across architecture, software, machine learning, systems, and silicon implementation to design next-generation AI accelerators capable of serving rapidly evolving frontier models. This role requires exceptional technical breadth, balancing mathematical understanding, ML trends, systems architecture, and practical silicon implementation. This may be the single most important technical hire after the Chief Architect. Key Responsibilities - Architectural Exploration - Own architectural exploration across the evolving landscape of transformer models, MoE, sparse models, and long-context inference. - Evaluate emerging techniques including speculative decoding, continuous batching, KV-cache evolution, sub-quadratic and linear attention, and state-space models. - Assess memory architectures, communication architectures, and interconnects for next-generation accelerators. - Performance Modeling - Develop analytical models and build simulation frameworks to evaluate architectural tradeoffs. - Estimate latency, throughput, bandwidth, memory and compute utilization, scaling efficiency, power, area, and cost. - Hardware/Software Co-Design - Partner closely with compiler, runtime, system software, firmware, ASIC engineering, and ML research teams to align hardware direction with real workload needs. - ASIC Specification & Roadmap - Develop architecture documents and define subsystem interfaces. - Evaluate tradeoffs across competing architectural directions and guide the future product roadmap. - Industry Awareness - Track new LLMs, reasoning models, research papers, hardware competitors, academic research, and emerging algorithms to keep Positron's architecture ahead of the field. - AI-Enabled Engineering - Use AI to accelerate research, performance analysis, architecture exploration, simulation generation, and documentation. Qualifications - 15+ years of experience in ASIC architecture. - Deep expertise in AI accelerator design and high-performance SoCs. - Hands-on experience building performance models for memory systems and interconnects. - Strong hardware/software co-design ability. - Excellent written and verbal communication skills. Preferred Qualifications - Experience with GPU architecture. - A solid grasp of ML systems, distributed inference, and large-scale serving. - Deep knowledge of transformer internals. - Compiler experience. - A track record of research publications. Leveling & Scope While this role is currently posted at a specific level, we are a growth-oriented organization and are open to hiring at a more senior level for the right candidate. Please note that this job description serves as a focused but generalized overview of the role; specific responsibilities and impact expectations will be tailored to the experience and seniority of the final hire. What Success Looks Like Success in this role looks like helping define future Positron architectures and creating a scalable architectural direction that bridges software and hardware, influencing products that remain competitive for years despite rapidly evolving AI models. Why Join Us? - Shape the core architecture of Positron's AI inference accelerators at a foundational level, with outsized influence over the company's technical direction for years to come. - Work at the intersection of frontier AI research and silicon implementation, tackling problems few architects in the industry get to own end to end. Compensation & Benefits The base salary range for this role is $200,000 – $300,000. Please note that the figures provided represent the base salary range only and do not include other elements of our total compensation package, equity, or comprehensive benefits. At Positron AI, we value the unique expertise each candidate brings. While the range above reflects our typical expectation for the position, we reserve the flexibility to exceed this range for candidates whose specialized skills, significant experience, or unique qualifications fall outside the standard scope of the role. Final offers are determined based on a variety of factors, including internal equity, and individual impact. Benefits & Perks - Health and wellness - Fully company-paid medical, dental, and vision insurance for you and your dependents. - Company-paid life and disability coverage, with voluntary options to add more. - Supplemental hospital, critical illness, and accident coverage available. - Time off and flexibility - Unlimited paid time off, so you can truly unplug and recharge. - 13 paid company holidays. - Remote-first culture with a company-provided computer and home office setup. - Compensation and future - Competitive salary and equity. - 401(k) with company matching, eligible from day one. Visa Support This position is open to candidates currently authorized to work in the U.S. We cannot provide new visa sponsorship for this role but are open to facilitating H-1B visa transfers for eligible candidates. Equal Opportunity Employer. If you're excited about the role but don't meet every bullet, we'd still love to hear from you.

Role Description - PLM data management architecture - Data modeling to support various applications, customer requirements, the semantics of the applications, and application best practices. - Strong knowledge of engineering process and data management. - Comprehensive knowledge in a business functional area to understand semiconductor business needs and translate them into technical design and development in data warehouse technology. - Experience in developing data schemas and loading data from multiple sources using integration tools. - Strong knowledge of and experience with reporting packages (Business Objects), databases (SQL, Teradata, HANA, Azure, and Snowflakes), programming (XML, JavaScript, or ETL frameworks). - Translate functional specifications into technical specifications and ensure a comprehensive data store design. Qualifications Requirements Benefits Company Description

Role Description We are sharing a specialised part-time consulting opportunity for licensed US architects with professional experience in architectural design, building codes, project delivery, and industry-standard design and modelling tools. This role supports an AI research initiative focused on improving how advanced systems understand and reason about architecture. Selected professionals will evaluate written and AI-generated content, answer domain-specific questions, identify useful reference materials, and provide practical insight into architectural workflows, standards, and professional decision-making. Key Responsibilities - Architecture Content Evaluation - Review written content and AI-generated responses for technical accuracy, relevance, and professional quality. - Assess whether architectural concepts, recommendations, and conclusions reflect real-world practice. - Identify factual errors, unsupported assumptions, and missing design considerations. - Evaluate content across residential, commercial, institutional, and related project types. - Domain-Specific Analysis - Answer architecture questions using clear, well-reasoned explanations. - Apply professional judgment to design, documentation, code, and project-delivery scenarios. - Assess whether responses account for practical constraints, stakeholder needs, and applicable standards. - Provide corrections and supporting rationale where content requires improvement. - Codes, Standards & Reference Materials - Review the application of building codes and architectural standards, including the International Building Code. - Identify reliable reference materials relevant to assigned topics. - Assess whether cited guidance is appropriate for the project context. - Highlight jurisdictional, technical, or procedural considerations affecting architectural decisions. - Workflow & Tool Expertise - Share insight into how architects use Revit, AutoCAD, BIM platforms, and related design tools. - Evaluate content involving architectural documentation, coordination, modelling, and project workflows. - Explain common professional practices across design development and construction documentation. - Collaborate asynchronously with a small group of subject-matter experts. Qualifications - At least 2 years of professional architecture experience. - An active professional architecture licence in the United States. - Experience across residential, commercial, institutional, or multiple project types. - Strong familiarity with building codes, professional standards, and architectural documentation. - Practical experience using Revit, AutoCAD, BIM, or comparable tools. - Professional working proficiency in English. - Strong written communication, analytical judgment, and attention to detail. - Reliable availability for approximately 10 hours per week. - Current residence in the United States. Educational Background - A professional degree in architecture from a recognised institution is required. - Active US architectural licensure is required. - Additional training in building codes, BIM, sustainability, project delivery, or construction administration may strengthen an application. - Continuing education relevant to professional architecture practice may also be valuable. Nice to Have - A portfolio of built or realised architectural work. - Experience working across more than one project type. - Familiarity with construction documentation, consultant coordination, and project delivery. - Knowledge of accessibility, life-safety, zoning, or sustainability requirements. - Experience reviewing or mentoring the work of junior architects or designers. - Comfort using AI tools such as ChatGPT or comparable systems. - Previous experience with content evaluation, structured feedback, or AI training projects. - Familiarity with quality-assurance or peer-review processes in architectural practice. Why This Opportunity - Apply professional architecture expertise to advanced AI research. - Help improve the accuracy and usefulness of AI-generated architectural content. - Share practical insight into real-world tools, standards, and workflows. - Collaborate with subject-matter experts across multiple professional fields. - Participate in a flexible remote engagement with potential for continued work. Contract Details - Part-time W-2 contingent employment opportunity. - Fully remote within the United States. - Expected commitment of approximately 10 hours per week. - Competitive rates between $60–$85 per hour depending on expertise and project scope. - Work may include content evaluation, technical question answering, reference review, and structured feedback. - Engagement scope and duration may evolve according to project requirements and performance.

Role Description The role involves .NET Development with a focus on building REST Based Microservices and integrating them effectively. - Design and implement a solution for building REST Based Microservices. - Translate Business Requirements into appropriate Microservices and Integration model. - Build security models around the Microservices with appropriate access control, policies, and authentication. - Develop high performing Microservices that scale to millions of requests. - Design an appropriate deployment model for Microservices and integration with various channels. - Communicate the design to various executive teams. Qualifications - A total of 10 years of experience showing career progression from Software Engineer to the Architect level position. - At least 6 years of experience as a Software Architect focusing on building APIs and integration layer. - 5 years or more experience building REST Based API using .NET Web API. - At least 3 years of experience with the latest .NET Frameworks such as .NET 3.1 and .NET 6. - Experience in using design patterns in the system and Solid principles. - Developing and deployment of various Azure Functions and App Services. - At least recent 3 years of experience building applications using Azure Platform. - Hands-On experience in building Microservices using Azure Cloud Services such as Azure SQL, Azure Storage, Azure Cosmos, Azure Redis, or Azure Event Hub. - Experience in Azure Service Bus and Event Grids. - Hands-on Experience working on Event Driven Systems. - Experience with NuGet dependency management for building microservices. - Hands-on experience in developing xUnit or NUnit test cases with mocking frameworks such as Moq and AutoFac or NSubstitute, and experience in using Fluent validation. - Understanding Azure API Gateway and Azure APIM. - Knowledge on creating the policies on APIM. - Experience in creating resources using ARM templates. - Understanding on deploying microservices in the Azure Environments. - Understanding on building highly available applications using Azure Fabrics or AKS. - At least 2 years of experience with SSO integration with REST Based API with major IAM provider such as ForgeRock, Ping Identity, or Okta. - Understanding of Auth Token consumption such as OAUTH, SAML, or JWT Token. - Experience in Azure DevOps, such as building the pipeline and releases. Company Description