Education Requirements:

• BS, MS, or PhD in EE/CS or related field (or equivalent experience)

Experience Requirements:

• 12+ overall years of relevant experience

• 5 yrs of managing systems/platform software teams, ideally in server RAS, firmware, telemetry, or data center solutions

Other Requirements:

• Strong knowledge of DMTF/PLDM for OOB telemetry collection, time series databases (e.g., InfluxDB, Prometheus) and REST APIs (Redfish)

• Deep understanding of Server and firmware architecture and optimization for low-latency APIs

• Proven track record of delivering scalable server products and telemetry solutions

• Experience with SCM (Git, Perforce) and project management tools (Jira)

• Excellent written and oral communication skills, strong work ethic, and commitment to teamwork

• Hands-on experience with x86/ARM system architecture and coding (C/C++, Python)

• Familiarity with Confidential Compute and notification systems

• Demonstrated ability to analyze algorithms for time/space complexity and system resource requirements

• You are a self-starter who loves to find creative solutions to complicated problems and hands on with coding

• Experience building and scaling telemetry collection and analysis engines

• Active contributor to Open Compute (OCP) and DMTF in relevant areas

• Proven leadership in delivering innovative platform telemetry solutions for large-scale AI infrastructure

Responsibilities:

• Lead Data Center Compute Telemetry & RAS: Own the end-to-end architecture and delivery for telemetry solutions, including fleet health monitoring, fault remediation, and data visualization at scale. Owning OOB telemetry solution and data validation for telemetry from each underlying device

• Build and Mentor a World-Class Team: Recruit, develop, and motivate a high-performing engineering team focused on platform telemetry, RAS and observability

• Process Optimization: Continuously improve software development processes for optimal productivity and quality

• Cross-Functional Collaboration: Work across teams to ensure seamless integration of telemetry solutions with platform firmware, server architecture, and data center management

• Product Ownership: Drive product life cycles with QA teams, ensuring robust testing, productization, and delivery

Education Requirements:

• MS in Electrical or Computer Engineering (or equivalent experience)

Experience Requirements:

• Minimum 5 years experience in Physical Design Engineering

Other Requirements:

• Familiar with aspects of chip design including Floor planning, Clock and Power distribution, Place and Route, Integration and Verification

• Strong background with hierarchical design approach, top-down design, budgeting, timing and physical convergence

• Familiar with various process related design issues including Design for Yield and Manufacturability, EM and IR closure and thermal management

• You'll need to have expertise and in-depth knowledge of industry standard EDA tools

• Proficiency in programming and scripting languages, such as, Perl, Python, and C++

Responsibilities:

• Developing physical design methodologies for implementation of graphics processors and SOCs

• Key responsibility includes developing unique and creative solutions to the state of the art physical design problems that are needed for NVIDIA chips

• Participate in developing flow and tool methodologies for chip floorplan, power and clock distribution, chip assembly and P&R, timing analysis and closure, power and noise analysis and back-end verification across multiple projects

Experience Requirements:

• 4+ years of model training, deployment and maintenance in a production environment.

• Strong skills in computer vision, NLP, or deep learning.

• Solid background in algorithms, data structures, and object-oriented programming.

• Strong programing skills in Python, experience in Tensorflow or PyTorch.

• Experience with deep learning with large scale video processing. An experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment. Mentored and grown members of your team or been a tech lead on large projects.

Other Requirements:

• Published research in areas of machine learning at major conferences and/or journals.

Experience Requirements:

• Developing front end website architecture and user interactions web pages.

• Designing and developing APIs.

• Experience building complex web products end-to-end in one of the frameworks(Angular, React.)

• Expertise working on all parts of the stack (frontend, backend).

• Familiarity with databases (e.g. Cassandra, MongoDB). A good understanding of deep learning workflows. Experience working with Docker, Kubernetes, and Infrastructure as code. MEAN stack development exposure with 3-5 years of industry experience.

Other Requirements:

• An analytical mind.

Other Requirements:

• a self-starter, detail-oriented and adaptable

• value challenge in their work

• Ability to work independently, cooperatively, and collaboratively as a team member.

• Strong sense of ownership, urgency, and drive.

• Ability to handle ambiguity and changing prioritiy.

Responsibilities:

• Label machine learning data from customers.

• Complete tasks in a timely manner, meeting SLA deadlines.

• Do post-process audits and review video and tasks.

• Work in-sync with Company to meet weekly goals.

Benefits:

• Family medical coverage

• Vision coverage

• Dental coverage

• Equity awards

• Discretionary bonuses and commissions

Education Requirements:

• BS/MS in Computer Science or equivalent experience preferred.

Experience Requirements:

• 2-5+ years of hands-on experience in building and scaling customer and user-facing products, preferably in the SaaS domain.

Other Requirements:

• Ability to write clean, scalable, and performant code

• Willingness to develop both frontend and backend software features

• Experience in building and shipping user-facing frontend features utilizing modern FE frameworks ( React, Vue.js )

• Strong understanding of scalability, reliability, and performance optimization

• Demonstrated passion for artificial intelligence and machine learning, with an interest in building AI-driven products.

• Familiarity in AI tools like Cursor, Claude, Gemini etc in software programming/debugging.

• Ability to collaborate across functional and organizational boundaries.

Responsibilities:

• Build the next generation of Talent Management software using cutting-edge technology (e.g., building agentic experiences with LLMs).

• Design and develop robust, scalable, and configurable applications and modules with an emphasis on quality, performance, design, and re-usability.

• Own end-to-end critical product features- consumed by millions of Users. Lead and monitor release cycles.

• Build and ship new software features and product enhancements. Both frontend and backend.

• Collaborate with Product Management, Design, and the rest of Engineering to re-iterate and enhance our product and to create user-friendly interfaces and ensure a seamless user experience

Experience Requirements:

• 3-4 years of experience designing technical solutions for cloud applications.

• Experience in software development. Python or Java. Skilled with REST APIs and Postman tools.

• Diligent in Agile delivery.

Responsibilities:

• Create and build complex Workflows using industry best practices

• Write solution and technical documentation including ERDs, data flow diagrams, and business process flows

• Utilize your outstanding technical consulting skills to implement software solutions

• Lead and drive scope definition, requirements analysis, functional and technical design, application build, product configuration, unit testing, UAT and production deployment

Benefits:

• Great Company Culture

• Bring your whole self to work

• Rest and Relaxation

• Health Benefits

• Keep learning

Experience Requirements:

• Minimum of 5-8 years of Product Management experience

• Experience building and shipping products that span the enterprise and consumer needs across a range of business scenarios

• Experience with solving operational, customer service or process improvement challenges through software

Responsibilities:

• Actively define the strategy and roadmap for the current product and future direction of our multiple product lines

• Understand market landscape and review competition to bring business insight to the team

• Partner with your peer engineering and design teams to deliver best-in-class products on time

• Collaborate with marketing and sales on field enablement and go-to-market activities

Education Requirements:

• MS or PhD in Computer Science or equivalent practical experience

Experience Requirements:

• 7-10 years of experience building data-driven, fault-tolerant systems

• Proven record of delivering a DL based system

Responsibilities:

• Develop safety-critical software for self-driving vehicles by leading, managing, and expanding a team focused on the motion forecasting & planning.

• Assume responsibility for the overall planning, execution, and success of autonomous driving related projects Actively code and develop prototypes to test novel algorithms and ideas.

• Foster a culture of experimentation and innovation, while promoting technical excellence and accountability within the team.

Education Requirements:

• MS (with 5+ years of relevant experience) or PhD (with 2+ years) in mechanical, electrical, aerospace engineering, physics, computer science, or a related field.

Experience Requirements:

• Extensive experience applying deep learning techniques to time series forecasting and data analysis.

• Strong understanding of conventional vehicle dynamics modeling.

Responsibilities:

• Develop accurate, scalable vehicle dynamics models from collected road test data, leveraging deep learning and advanced data analysis techniques.

• Conduct in-depth analysis of road test data to identify trends, anomalies, and key performance indicators to enhance model accuracy.

• Integrate the data-driven models into simulation pipelines with seamless compatibility.

• Design and implement an automated modeling pipeline for periodic model training, evaluation, and updates.

Education Requirements:

• Masters Degree in Computer Science, Mechatronics, Electrical Engineering, or a related field.

Experience Requirements:

• At least 3 years of hands-on experience in RTOS, including AUTOSAR and FreeRTOS.

Responsibilities:

• Implement requirements and designs for automotive software components related to communication, diagnostics, cybersecurity, operating systems, or bootloaders or AUTOSAR.

• Work in RTOS, linux kernel, and C/C++ SW stack layers responsible for our functional safety and security concept.

• Integrate RTOS components, conduct profiling, tracing, and systematic error analysis.

• Configure, generate, and integrate AUTOSAR modules on different microcontroller platforms.

Education Requirements:

• Degree in CS, ME, EE, Mechatronics or related field.

Experience Requirements:

• 3+ years experience developing safety critical embedded systems.

• 5+ years experience in automotive systems development or similar

Responsibilities:

• Work in coordination with global engineering teams to define vehicle-level self-driving requirements.

• Define system reliability and robustness requirements for the autonomous ECU, sensor set and electrical interfaces.

• Conduct Hazard Analysis & Risk Assessment (HARA) reviews of autonomous systems/features.

• Conduct Failure Mode and Effect Analysis (FMEA) reviews of autonomous systems/features.

Education Requirements:

• MS in Computer Science, Electrical Engineering, or related field

Experience Requirements:

• 3+ years of software engineering experience with a focus on ML infrastructure or distributed systems.

Responsibilities:

• Design and develop scalable, high-performance systems for training, inference, deploying, and monitoring ML models at scale.

• Build and maintain efficient data pipelines, model versioning systems, and experiment tracking frameworks.

• Collaborate with cross-functional teams, including ML researchers and engineers, to identify bottlenecks and improve platform usability.

Education Requirements:

• MS in Computer Science, Electrical Engineering, or related field

Experience Requirements:

• 3+ years of software engineering experience.

Responsibilities:

• Develop and deploy scalable web applications including front-end and back-end services.

• Design and implement data analytics and reporting tools for R&D as well as business uses.

• Design and implement high-performance, high-availability distributed data pipelines and services in cloud environments.

• Build and maintain distributed systems that can handle large volumes of data in real-time.

Benefits:

• Unlimited PTO

• Flexible working

• Health benefits

• Future building

• Professional development Company-sponsored professional development opportunities such as conferences, trainings, and workshops.

Experience Requirements:

• Minimum 5 years of program management experience.

• Proven track record of building and executing complex programs.

Responsibilities:

• Independently manage ongoing programs with key customers, Tier 1s, and OEMs.

• Gather and integrate project performance and progress information.

• Prepare detailed status reports which include: latest accomplishments, upcoming deliverables, project metrics, and risk analysis.

• Develop processes and procedures to improve functions within Operations.

• Prepare and update detailed project plans, deliverable timelines, KPIs and milestones.

Education Requirements:

• BS, MS, or PhD in Software, Robotics, or related field

Experience Requirements:

• 4+ years of machine learning engineering experience for robotics applications

Responsibilities:

• Use complex map and perception sensor output to develop novel deep learning models for our planning stack.

• Design critical safety checks to ensure driving trajectories are feasible and follow rules of road.

• Ensure all model development keeps a real-time focus and operates efficiently in compute-constrained environments.

• Track and incorporate the latest multidisciplinary research advancements in a fast-moving field.

Education Requirements:

• MS or PhD in Computer Science, Electrical Engineering, Robotics, similar technical field of study, or equivalent practical experience

Responsibilities:

• Develop 3D visual reconstruction of highway and urban driving scenarios including static scenes and dynamic objects

• Identify unique and high-value driving scenes to maximize data labeling efficiency, class distribution imbalance (long-tail) challenges in autonomous driving

• Develop a distributed and automated pipeline for large scale scene reconstruction and automatic label generation

• Curate high-quality dataset for autonomous driving scenarios and design robust evaluation metrics

Education Requirements:

• BS/MS/PhD in Computer Science, Computer Engineering, Electrical Engineering or related fields

Experience Requirements:

• 3+ years of industry experience

• Experience with AI inference computing optimization, quantization, model pruning techniques

Responsibilities:

• Deploy, optimize and accelerate machine learning models on various computing platforms from e.g. Nvidia, TI, Ambarella etc

• Implement compiler support to maximize inference performance

Experience Requirements:

• Experience with multi-modal detection fusion and tracking algorithms

• Strong understanding of computer vision and perception systems

Responsibilities:

• Design and implement detection fusion and tracking algorithms to improve perception performance in real time and offline pseudo-label generation using a combination of camera, radar and lidar data

• Benchmark and evaluate perception performance using quantitative metrics and testing methodologies

• Identify, troubleshoot, and resolve real-world perception issues encountered in autonomous driving scenarios

Benefits:

• Medical insurance

• Vision insurance

• Dental insurance

• 401(k)

• Paid paternity leave

Education Requirements:

• Engineering/Facility Management degree preferred

• At least 6 years experience in a senior role within facility management

Experience Requirements:

• 6 years or more of progressive hotel or building management experience

• With opening hotels, previous hotel pre-opening experience preferred

Other Requirements:

• Demonstrated ability to effectively interact with people of diverse socioeconomic, cultural, disability, and ethnic backgrounds

• Service oriented style with professional presentations skills

• Proven leadership skills

• Clear concise written and verbal communication skills in English

• Must be proficient in Microsoft Word and Excel

Responsibilities:

• Review contracts and negotiate revisions

• Requisition supplies and materials

• Interpret and explain plans

• Plan, organize, and direct activities

• Prepare and submit budget estimates