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:

• 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.

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:

• 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.

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:

• 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 (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:

• 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:

• 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

Benefits:

• Competitive compensation and stock options

• Medical, dental, and vision insurance

• Unlimited vacation

• Opportunity to collaborate with world-renowned surgeons to help shape the future of surgery

Education Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field (Master's degree preferred)

Experience Requirements:

• Proven experience in edge computing and distributed systems

Other Requirements:

• Strong knowledge of networking protocols, such as TCP/IP, MQTT, and HTTP

• Proficiency in programming languages such as Rust, C or C++ is a plus

• Excellent problem-solving skills and attention to detail

• Strong communication and interpersonal skills

• Ability to work under tight deadlines

• In-depth knowledge of NVIDIA Jetson module architectures such as Orin is a huge plus.

• Familiarity with containerization technologies (e.g., Docker, Kubernetes) is a plus.

• Familiarity with hardware communication protocols: SPI, UART, Serial & I2C

• Familiarity with concepts of design input, design output, traceability, risk analysis, and mitigations a big plus.

• Comfortable with low-level aspects of the Linux operating system, including but not limited to Unix sockets, device drivers, etc

Responsibilities:

• Work closely with the VP of Engineering on implementing the design of edge computing solutions based on customer requirements.

• Work with vendors and suppliers to source and integrate components into existing system configurations.

• Collaborate with software engineers to ensure hardware and software compatibility and optimize system performance.

• Integrate edge devices, sensors, and gateways into existing healthcare IT infrastructure.

• Collaborate with cross-functional teams to ensure successful deployment and operation of edge solutions.

Benefits:

• Visas sponsorship

• Full medical and dental coverage

• Company provided lunches

Education Requirements:

• B.S. or M.S. in Computer Science or related field

Experience Requirements:

• 2+ years of working experience in software development

• 2+ years of experience building scalable backend servers and API services or large scale web applications

Other Requirements:

• Strong knowledge in software architecture, data structures, modern design patterns, microservice, and internet protocols

• Exceptional in designing and building high performance, highly scalable, and fault-tolerant multi-tenant SaaS based applications

• Strong coding experience and knowledge of a server-side language

• Strong coding experience and knowledge of Javascript, HTML, CSS

Responsibilities:

• Build and maintain Linc’s SaaS application platform at the highest level of quality, service and availability

• Architect, design and implement new functionality and product enhancements

• Play a leading role in all phases of software development

• Collaborate across entire product team to contribute to the analysis of functional requirements and overall system architecture

• Document and communicate designs and interfaces for use by other engineers