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we are a leading silicon photonics company developing advanced solutions for data center connectivity.
We are looking for a hands-on Facilities & Lab Manager to take full ownership of our office and laboratory environments.
This role reports directly to the VP Operations.
Responsibilities
Own day-to-day operations of office & labs
Maintain, repair, and install infrastructure & equipment (hands-on / vendors)
Ensure a clean, organized, and fully functional work environment
Keep labs efficient and ready for fast-paced R&D work
Perform preventative maintenance on lab equipment
Work closely with R&D/engineering on experiments and new tools
Ensure labs support both development and production-scale activities
Manage external vendors and ongoing facility services
Own safety procedures and compliance (including storage & disposal of materials)
Responsible for company security
Lead renovation and construction projects .

We are looking for R&D Pharma Team Leader to be responsible for the professional and managerial leadership of R&D pharma team engaged in formulation and process development of drug products. The role includes building and executing work plans, managing timelines, providing scientific expertise of formulation and manufacturing process development, scale-up activities, transition of products from development to commercial manufacturing, leading process validations and technology transfers and supporting ongoing commercial manufacturing through deviation investigations and professional assessments, while continuously driving operational efficiency within the department.

Responsibilities:
Serve as a subject matter expert in formulation development, scale-up, and manufacturing processes.
Assign tasks, prioritize activities, and perform continuous follow-up on execution.
Ensure high-quality scientific and technical deliverables in compliance with GMP and regulatory standards.
Lead formulation and manufacturing process development in accordance with QbD methodology. Definition of QTPP, CQAs, CPPs, and Design Space.
Evaluation of experimental work, including scale-up activities from laboratory scale to Engineering to registration batches scale.
Lead and support process validation activities (Process Validation, PPQ). Review, assess, and approve validation protocols and reports.
Lead and participate in pharmaceutical technology transfer projects and transition of drug products from development status to commercial manufacturing, ensuring process robustness, regulatory readiness, and manufacturing continuity.
Collaborate with QA, Regulatory Affairs, Manufacturing, and Engineering to ensure successful product commercialization.
Identify risks, delays, and resource gaps, and lead mitigation actions.
Provide regular progress updates to management.
Actively participate in deviation investigations related to products in routine manufacturing and provide professional pharmaceutical opinions and assessments.
Perform root cause analysis and support definition and implementation of CAPAs.
Support change control activities related to products and processes.
Initiate and lead continuous improvement and efficiency initiatives within the department.
Implement pharmaceutical and regulatory best practices.

To apply, please send your application to our e-mail.

join our advanced packaging team to define and develop cutting-edge semiconductor package solutions for automotive-grade digital and RF system -on-chip ( SOC ) products.
youll collaborate with internal teams and external osats to deliver high-performance, manufacturable, and reliable packages that meet stringent automotive standards.
what will your job look like:
define and specify advanced package architectures for digital socs and RF ics in automotive applications.
perform substrate design for flip-chip bga (fc-bga) packages, including stack-up, routing, and ball-out optimizations.
evaluate and select substrate technologies, materials, and package solutions based on performance, cost, and reliability.
collaborate with osats to define and validate assembly materials and process flows.
work closely with internal teams such as backend, sipi, product engineering, and quality & reliability to ensure seamless integration.
monitor yield, quality, and manufacturability across package development and production stages.
support dfm reviews and ensure compliance with automotive standards and customer requirements.

you will be part of rem department. road experience management (rem) is an end-to-end mapping and localization engine. its being used for full autonomy capabilities and services, generating validation processes and methodologies for such a technology giant is challenging, sufficient. since we are dealing with a complex system based on Machine Learning and image processing, the analysis and validation processes require deep thinking as well as advanced technical and analytic abilities. our analysts are responsible for running the analysis process and for providing deep analysis reports based on effective analysis of Big Data. what will your job look like:
lead and hands-on drive the teams transition toward extensive and effective use of automation, including implementing automated solutions, improving existing workflows, and actively supporting the team in adopting automation as part of daily development and testing activities
manage and oversee both automated and manual validation processes, ensuring thorough data review and quality control.
prepare clear, structured reports summarizing validation results, issues, and recommendations for technical and management stakeholders.
plan, track, and coordinate validation projects, maintaining schedules, identifying risks, and communicating progress across departments.
collaborate with algorithm developers, engineers, and other stakeholders to troubleshoot issues and propose improvements.
participate in the planning and design of advanced validation processes.

we are a global leader in autonomous vehicle (av) technology, pioneering advanced driver-assistance systems (adas) and self-driving solutions. across the company, algorithm developers work at the forefront of av/adas innovation- designing and implementing perception, mapping, computer vision, and decision-making algorithms, typically in Python or C ++. at our company, algorithm developers join a variety of teams across a broad range of domains. this role serves as a central entry point, allowing us to match your expertise and aspirations with the team where you can make the greatest impact. algorithm developers at we contribute to diverse areas of innovation, including:
 detection: developing algorithms to identify and track road users, lanes, and other key elements of the driving environment in real time.
 object modeling: developing algorithms to identify, classify, and measure objects (general, unclassified, etc.), enabling precise scene understanding.
 geometry: developing algorithms to model road geometry, vehicle motion, and calibrations, providing essential spatial data that supports localization, 3d object placement, tracking, and other core perception tasks.
 mapping: developing algorithms to create high-definition maps from large-scale, crowd-sourced data to enable precise localization and navigation.
 3d perception & sensor fusion: designing algorithms for 3d reconstruction and multi-sensor reasoning to accurately model and understand the driving environment. what will your job look like?
your job will include a combination of algorithm development and programming in Python and C ++.
work with image-based data, focusing on extracting and representing spatial information accurately and efficiently.
take initiative in identifying and solving complex algorithmic challenges in a fast-paced development environment.
collaborate closely with engineering and research teams in computer vision, data engineering, and related fields to deliver real-world solutions.

as a quality and reliability (q&r) engineer, you will lead the qualification and long-term reliability of advanced system -on-chip ( SOC ) and RF semiconductor products for automotive applications. youll work across digital and RF domains to ensure robust performance and compliance with industry standards. what will your job look like:
define and manage quality and reliability specifications, simulations, and qualification plans for SOC and RF die and package.
plan and execute automotive-grade qualifications per standards such as aec-q100, jedec jesd22, and iatf 16949.
design and implement die-level and package-level stress tests.
select and prepare electrical, environmental, and mechanical TEST platforms for reliability testing.
define requirements for pre-si q&r (e.g. esd, lu, em, ir drop), design-for- TEST (dft), electrical characterization, and post-si q&r testing of digital, mixed-signal and RF socs.
collaborate extensively with internal design teams, external subcontractors, and outsourcing partners (osats).
lead failure analysis, reliability modeling, and corrective action processes (e.g., 8d, fmea, fmeda).
document and certify automotive standards compliance, including ppap/apqp deliverables.

We are global leader in autonomous vehicle (av) technology. if youre an experienced deep learning Developer driven by a passion to shape the future of mobility, join us to make av a reality. the 3d perception team builds transformer-based vision models trained on large-scale driving video for the next generation of autonomous vehicles. our end-to-end temporal network fuses multi-view cameras into a unified 3d sensing state that powers planning.
what will your job look like?
develop, implement and optimize state-of-the-art transformer-based temporal vision models
extend network capabilities, analyze results and errors, and deliver measurable improvements to the driving scene understanding
work shoulder-to-shoulder in a large, collaborative group
research and integrate the latest advancements in 3d detection and perception
improve algorithmic performance through rigorous experimentation and innovation
work with large-scale datasets
research new advances in the field from the literature and industry.

our company is a leading silicon photonics company developing advanced solutions for data center connectivity. We are looking for a hands-on Facilities & Lab Manager to take full ownership of our office and laboratory environments. This role reports directly to the VP Operations.
Responsibilities:

* Own day-to-day operations of office & labs
* Maintain, repair, and install infrastructure & equipment (hands-on / vendors)
* Ensure a clean, organized, and fully functional work environment
* Keep labs efficient and ready for fast-paced R&D work
* Perform preventative maintenance on lab equipment
* Work closely with R&D/engineering on experiments and new tools
* Ensure labs support both development and production-scale activities
* Manage external vendors and ongoing facility services
* Own safety procedures and compliance (including Storage & disposal of materials)
* Responsible for company security
* Lead renovation and construction projects

we are seeking an algorithm team lead to guide a team of highly skilled algorithm developers. you will join a collaborative group focused on researching and developing large-scale offline computer vision models that enable automatic data labeling and are deployed company-wide. this role requires a unique combination of technical depth, leadership, and strategic thinking - and its your opportunity to inspire and challenge brilliant minds, while maintaining a strong presence and ensuring focus and execution. you will lead the teams end-to-end work in 3d computer vision, multi-sensor reasoning, and slam-based perception, driving the development of state-of-the-art algorithms that power autonomous driving systems. the position involves close collaboration with product and cross-functional teams to define priorities, balance innovation with delivery, and translate complex research challenges into production-ready solutions. what will your job look like:
lead a team of 7 algorithm developers, providing both technical and personal guidance.
manage priorities and interface with product and engineering stakeholders to ensure alignment and impact.
drive algorithmic research and development in the areas of 3d reconstruction, slam, optimization, calibration, and ego-motion estimation.
oversee the full lifecycle - from concept and research to deployment in production systems.
maintain hands-on involvement, mentoring the team in advanced algorithmic design and development.

Our CTO group is looking for experienced algorithm researchers and developers to join our team! which department will you join?
the CTO group is a small, elite group, whose goal is to build next-generation algorithmic solutions powering our self-driving car, crowd-sourced hd maps, and advanced driver-assistance systems. the group is primarily focused on the decision-making module of our self-driving car. it leverages a wide range of algorithmic approaches, rigorous formal definitions, and mathematical modeling- enriched by insights drawn from large-scale data and real-world driving experience.
the group is comprised of top-notch developers and researchers and is headed by world-class scientists. this is a unique opportunity for a passionate technical leader to join the CTO group, work closely with the CTO on next-generation projects, develop pocs using cutting-edge technologies, shape our technology vision and provide thought leadership to our technical community.
what will your job look like:
research, design and develop innovative algorithmic solutions.
mathematical modeling and abstraction of real-life problems.
code design, implementation, and hands-on development.

we are a global leader in autonomous vehicle (av) technology, pioneering advanced driver-assistance systems (adas) and self-driving solutions. across the company, algorithm developers work at the forefront of av/adas innovation - designing and implementing perception, mapping, computer vision, and decision-making algorithms, typically in Python or C ++.  algorithm developers join a variety of teams across a broad range of domains. this role serves as a central entry point, allowing us to match your expertise and aspirations with the team where you can make the greatest impact. algorithm developers  contribute to diverse areas of innovation, including:
 detection: developing algorithms to identify and track road users, lanes, and other key elements of the driving environment in real time.
 object modeling: developing algorithms to identify, classify, and measure objects (general, unclassified, etc.), enabling precise scene understanding.
 geometry: developing algorithms to model road geometry, vehicle motion, and calibrations, providing essential spatial data that supports localization, 3d object placement, tracking, and other core perception tasks.
 mapping: developing algorithms to create high-definition maps from large-scale, crowd-sourced data to enable precise localization and navigation.
 3d perception & sensor fusion: designing algorithms for 3d reconstruction and multi-sensor reasoning to accurately model and understand the driving environment. what will your job look like?
your job will include a combination of algorithm development and programming in Python and C ++
work with image-based data, focusing on extracting and representing spatial information accurately and efficiently
take initiative in identifying and solving complex algorithmic challenges in a fast-paced development environment
collaborate closely with engineering and research teams in computer vision, data engineering, and related fields to deliver real-world solutions

we are seeking a highly skilled systems integration and Validation engineer to join our dynamic team in the automotive industry. the ideal candidate will have a strong background in system development, integration, and testing, with at least 5 years of relevant experience. as an integration engineer, you will play a key role in integrating and validating a complex automotive system, ensuring they meet the highest standards of quality, performance, and reliability. what will your job look like:
system integration: collaborate with cross-functional teams to integrate various subsystems and components into a cohesive automotive system, ensuring compatibility and functionality.
risk management: identify potential risks and issues related to system design and implementation, and develop mitigation strategies to ensure project success.
documentation and reporting: create comprehensive documentation, including system designs, TEST reports, and technical specifications. provide regular progress updates and reports to management and stakeholders.
testing and validation: develop and execute TEST plans and procedures to validate system performance, reliability, and safety according to industry standards and regulations.