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We are looking for a Server Integration Lead to be part of defining, shaping and integrating solutions to next generation of our cloud platforms. Our success depends on our world-class server infrastructure; were handling massive scale and rapid integration of emergent technologies.

Key job responsibilities:
- Own the end-to-end validation and integration process for new server hardware platforms entering production-scale data center environments.
- Collaborate cross-functionally with hardware engineering, firmware, capacity planning, and infrastructure operations to align deployment readiness with business objectives.
- Establish and track KPIs such as failure rates, test coverage, and integration velocity to continuously improve infrastructure readiness and time-to-market.
- Lead continuous improvement initiatives across vetting, provisioning, and early-life testing workflows, automating manual processes wherever possible.

A Senior Security Engineer is expected to be proficient in multiple domains. This is a leadership role within the Annapurna security team and you will be sought out for advice on technical and business issues. Efficient time management skills are required along with the ability to deliver results in the face of uncertainty. A Senior Security Engineer will proactively share knowledge across the community and will be a key company resource in one or more of the core areas of security. He will lead security reviews of large projects while setting standards and defining best practices for our Security teams.

Engineers in this role must show exemplary judgment in making technical trade-offs between short versus long term security and business goals. They must also demonstrate resilience and navigate difficult situations with composure and tact. A broad understanding of the business and its interconnections is required. This position will also provide training, advice, and mentorship to other engineers throughout us.

We are seeking a highly skilled and experienced Architecture & Operations Lead to drive the development of infrastructure for automation testing, internal DevOps, CI/CD, and deployment.

This role is critical in designing and maintaining scalable and high-performance infrastructure for software development, testing, and production environments. The ideal candidate has a strong background in cloud infrastructure, automation, microservices architecture, performance monitoring, and software best practices.

Key Responsibilities:

Infrastructure & Automation:
Design and implement infrastructure for automation testing and internal DevOps processes.
Develop and manage CI/CD pipelines, ensuring smooth and automated software deployment.
Architect and maintain scalable infrastructure on AWS, leveraging Terraform and infrastructure-as-code (IaC) best practices.
Define and enforce software best practices, ensuring reliability, maintainability, and security.

Operations & Performance Monitoring:
Lead performance monitoring and optimization efforts using tools like APM (Application Performance Monitoring) and New Relic.
Implement Site Reliability Engineering (SRE) principles to enhance system reliability and scalability.
Monitor and improve system performance, ensuring high availability and fault tolerance.

Collaboration Across Teams:
Work closely with development, product, and DevOps teams to align infrastructure strategies with system architecture.
Conduct design reviews and provide recommendations to optimize software and infrastructure performance.
Oversee GitHub Actions workflows for efficient automation and deployment processes.

Security & Compliance:
Ensure infrastructure meets industry security and compliance standards.
Collaborate with security teams to perform vulnerability assessments and implement secure deployment strategies.

Software Development & Best Practices:
Define and enforce best practices for software development and deployment.
Ensure backward compatibility compliance, preventing API breakages.
Drive automation initiatives to reduce manual effort and increase efficiency.

Are you passionate about mastering the public cloud platforms? Our Cloud Foundation team is on the lookout for a seasoned Senior software engineer to propel us to new heights. As a key member of our dynamic team, you will play a pivotal role in developing cutting-edge solutions that leverage the capabilities of the major cloud providers.
Responsibilities:
Innovating Beyond Conventional Boundaries: Generating and implementing groundbreaking ideas with a substantial real-world impact. Full-Stack Ownership: Leading end-to-end development for our products and features, encompassing design, implementation, and integration from database to client.
Complex Problem Resolution: Tackling diverse and intricate challenges at a high scale, utilizing cutting-edge systems and technologies.
Cross-Functional Collaboration: Collaborating closely with Product Designers, Product Managers, and software engineers to bring exceptional products to fruition. Performance Enhancement: Evaluating and enhancing the performance, scalability, and stability of our products, environments, and tools. Continuous Technological Advancement: Engaging in ongoing learning and the assessment of new technologies, contributing to the constant refinement and perfection of our products.
About us:
We give demanding workloads 10x faster performance on the cloud compared to native cloud alone.
The Cloud Platform is a virtualization layer that sits between the underlying cloud infrastructure and customers workloads. Without refactoring, workloads such as Oracle, Microsoft SQL server, and industry-specific applications can move onto the cloud and massively improve User Experience.
Industry leaders in e-commerce, software publishing, FinTech, and healthcare, trust us with their mission-critical workloads to get the ultra-fast speeds their customers demand. we are headquartered in Needham, MA. To learn more, visit silk.us

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 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.

We are interested in welcoming a Solution Engineer to join our diligent team accepting full ownership of technical customer-facing activities such as product deployment, training, and customer support.

The right candidate should have various technical capabilities and customer-centric approach.

We are interested in welcoming an Angular Developer to join our diligent team and deliver streamlined cutting-edge application and user experience; a team member who appreciates opportunities to develop a first-class codebase, using Angular 2+ best practices, and can be the focal Angular tech lead of the team.

We are interested in welcoming an AI Engineer to join our diligent team and design, develop, and implement proprietary AI models, improve accuracy, efficiency, and functionality.

abra R&D is seeking an SW Embedded Developer (C++) to join our team! About The Role: We are looking for a highly experienced SW Embedded Developer (C++). This role involves taking features from concept to release, working independently with technical documentation, and collaborating with cross-functional teams. If you're passionate about embedded systems and enjoy solving complex challenges, this position is for you! Key Responsibilities:
* Developing an embedded system in C++ for Linux, RTOS, and Bare Metal environments.
* Integrating into a fascinating and challenging project with multiple interfaces in a new technological domain.
* Engaging in the characterization processes of software architecture, requirements, and design.
* Creating infrastructure building blocks for further development in future projects.