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We are seeking a System Architect to join our team and play a key role in shaping the architecture of NeuReality's AI inference appliance.

As a System Architect, you will be integral in driving the company's architectural roadmap, working closely with the product team, CTO, and development teams. Together, youll analyze new market demands and define the product architecture for our Server-on-Chip system, which caters to a wide range of AI verticals.

Responsibilities:
Collaborate closely with the product team and CTO to assess new requirements and define the companys architectural roadmap and Plan of Record (POR).
Design system flows and deployment models for our AI inference appliance in advanced cloud environments.
Establish architecture guidelines, requirements, and the division of labor between software toolchain components, firmware, and hardware elements of the SoC.
Lead performance estimations, measurements, and optimizations, as well as system-level integration efforts.
Engage directly with end customers to shape use cases and system solutions, including demos and Proofs of Concept (PoCs).

We are looking for a Senior Verification Engineer to be a significant part in developing a complex and innovative SoC chip in a start-up company.

Taking full ownership of entire domain, defining the verification strategy, writing, and executing verification plan in system Verilog UVM.

VLSI group is responsible for the development of our next generation SoC for AI Compute. The development starts from product definition through architecture, design, verification and up to implementation.

The complex SoC is a high-performance device running AI compute for vision and audio processing, with technologies from multi-disciplines.

We are looking for a talented Senior Networking Engineer to be a significant part of developing and designing software for complex SoC developed by us. Take part in architecture and defining HW-SW interfaces. Design and implement networking stacks on embedded cores as part of a high throughput complex multi-threaded environment.

We are looking for an experienced Team Lead to contribute to the development of our Artificial Intelligence SDK. This is an exciting opportunity to work with highly talented engineers and be a part of product innovation on cutting-edge technologies in the Artificial Intelligence/Deep Learning domain. If you are an excellent, bright, hands-on engineer with a passion for making a difference apply to join our group!

As a leading software engineer in our group, you will analyze modern Artificial Intelligence workloads, and define and develop our SDK Our set of development tools built and optimized to automatically compile and map AI code to run on our platform. Those tools include optimization algorithms, compilers, simulators, profilers, and more.

You will get a deep understanding of AI-centric SW and HW architectures as well as end-to-end use cases and Deep Learning algorithms/pipelines, work, and interact with external vendors and customers for requirement gathering and correct integration of new features.

We are seeking an experienced Runtime Software Architect to lead the design and development of an advanced runtime framework tailored for our servers. This role involves analyzing existing runtime systems and machine learning runtime frameworks such as ONNX Runtime onnxruntime.ai, TensorFlow Serving, PyTorch's TorchServe, Apache TVM tvm.apache.org, and Glow github.com, to inform the creation of a new framework that efficiently leverages low-level hardware components, including DSPs, video decoders, ARM cores, and DLAs. The ideal candidate will possess a deep understanding of these technologies and a proven track record in architecting software that harmonizes with complex hardware infrastructures.

Key Responsibilities:
Framework Analysis: Conduct comprehensive evaluations of existing runtime systems and ML runtime frameworks, such as ONNX Runtime, TensorFlow Serving, TorchServe, Apache TVM, VLLM, TRT-LLM, and Glow, to identify their strengths, weaknesses, and applicability to our objectives.
Architecture Design: Develop a robust runtime framework optimized for our servers, ensuring seamless integration with hardware components such as DSPs, video & audio decoders, ARM cores, and DLAs.
Hardware Integration: Collaborate with hardware engineers to adapt and optimize software components, maximizing performance and efficiency across various hardware modules.
Performance Optimization: Implement strategies to enhance system performance, including reducing latency, increasing throughput, and improving resource utilization.
Cross-Functional Collaboration: Work closely with cross-functional teams to align software architecture with business goals and technological advancements.

We are seeking a highly skilled Real-Time C++ and Python Software Team Lead to join our dynamic team. The ideal candidate will have extensive experience in developing and optimizing software for real-time systems, ensuring high performance and reliability. This role involves working on cutting-edge projects that require a deep understanding of the theoretical and practical aspects of real-time computing, with proficiency in both C++ and Python.

Responsibilities:
Design, develop, and maintain software for real-time systems using C++ and Python.
Optimize software to meet performance requirements and ensure low latency and high reliability.
Collaborate with cross-functional teams to define software requirements and specifications.
Implement and test software modules to ensure they meet the necessary performance and safety standards.
Debug and resolve issues in a timely manner, ensuring minimal impact on project timelines.
Utilize Python for scripting, automation, and integration tasks.
Stay updated with the latest advancements in real-time computing, C++ programming, and Python development.
Document software design, implementation, and testing procedures.

We are seeking a Director of Product Management with experience supporting the development and design of semiconductor products for AI. As a product leader, you will lead product definition and vision and launch products from cradle to grave. You will drive interactions with engineering teams, lead customer discussions, develop go-to-market strategies, identify new markets, and work with senior leaders on the vision and customer impact.

If youre passionate about shaping the future of AI chips and thrive in a collaborative, hands-on environment, this position is for you!

Responsibilities:

Execute on product development and delivery by working with our cross-functional teams (R&D, sales, operations, and corporate development) to ensure successful product launch and business growth.

Built close relationships with lead customers and manage product engagement and support.

Assist with Go-to-market strategy and launch plan with clear market assessment, competitive analysis, and positioning of products.

Develop compelling sales material that clearly promotes product value and differentiation and work closely with sales and customers to secure new business opportunities and close design-wins.

Maximize Business Impact through continuous market assessment. Refine product, when needed, based on new learnings and as an advocated for the customer.

We are seeking a highly skilled and experienced Machine Learning (ML) Application Engineer Team Lead to spearhead the development of reference applications in computer vision and large language models (LLMs). This role involves designing and implementing robust ML pipelines utilized by both our customers and internal teams to evaluate and benchmark our hardware/platform. The ideal candidate will lead a team of four engineers, each focusing on individual applications, ensuring synchronization and cohesive progress across projects.

Key Responsibilities:
Team Leadership: Manage and mentor a team of four ML engineers, fostering a collaborative environment that encourages innovation and professional growth.
Application Development: Oversee the design and development of reference applications in computer vision and LLMs, ensuring they meet industry standards and client requirements.
Pipeline Engineering: Develop and optimize ML pipelines for vision and LLM applications, facilitating seamless integration and deployment for customers and internal assessments.
Performance Evaluation: Lead efforts to benchmark our hardware/platform's performance against competitors, providing insights and recommendations for continuous improvement.
Cross-Project Coordination: Ensure alignment and effective communication among team members, synchronizing efforts across various application projects.
Stakeholder Collaboration: Work closely with product managers, hardware engineers, and other stakeholders to align application development with business objectives and technological advancements.

As BSP / Embedded Team Leader, you will lead a team of talented embedded software engineers responsible for the development, maintenance, and optimization of Board Support Packages for our custom hardware platforms. You will work closely with hardware, kernel, and system software teams to ensure robust and efficient low-level software integration.

Responsibilities:
Lead the BSP / Embedded development team, providing technical direction, mentorship, and guidance.
Design, develop, and maintain BSP components including bootloaders, device drivers, and board initialization code.
Collaborate with hardware teams to bring up new boards and support silicon validation.
Ensure seamless integration of BSP with Linux (or other OS) kernels and embedded software stacks.
Define and enforce coding standards, development processes, and quality benchmarks.
Own the delivery of BSP milestones in alignment with project timelines.
Troubleshoot and resolve low-level system issues and performance bottlenecks.
Stay up-to-date with industry trends, tools, and best practices in embedded systems.