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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.

What you'll be doing:

Test Verification and Validation (both HW and SW).

Maintain products quality by improving test stability, coverage, design, and manufacturing process in Mass Production.

Execute tests in different scopes such: as regression, performance degradation, functional, and security; report the progress of testing and provide summary reports of the activity.

Troubleshooting and streamlining/optimizing our testing procedures.

Support Mass production matters.

Debugging production bugs and solving them.

We are now looking for a best-in-class Verification Engineer to join our outstanding GPU-Networking Silicon Engineering team. As a DV Engineer in our GPU-Networking group, you'll make a real impact in a dynamic, technology-focused company while being a part of the team that develops the flagship product of todays semiconductor industry - our GPU Super-Chip.

What youll be doing:

Work in a DV (Design Verification) team that has a global responsibility over deliverable units and clusters to the silicon GPU.

Integrations and Full-Chip models.

Verification of chip blocks/entities according to specifications under challenging constraints.

Ramp-up and run DV tasks on emulation platform.

we are a game-changing startup that's giving advanced electronics the power to report on their own health. In a digital world built for autonomous driving, cloud computing, and AI, we depend on computing systems daily. But how can we guarantee their safety, reliability and functionality? we are the first-ever company to provide visibility into next-gen chips while they are operating, based on the power of on-chip monitoring, machine learning, and data analytics.
Here at our company, you'll be part of a team that's unlocking deep insights to make electronics more reliable, efficient, and high-quality. We're trusted by industry leaders in data centers, automotive, communications, and consumer devices - we work with the world's largest and most notable companies in tech.
Responsibilities
Develop and maintain advanced verification environments using SystemVerilog and UVM, ensuring scalability, configurability, and reusability across multiple IPs.
Design, implement, and execute comprehensive testbenches and random test suites to validate functional correctness, robustness, and corner-case behavior of complex IP within various SoC integration environments.
Drive coverage closure by defining, collecting, and analyzing code and functional coverage metrics; identify verification gaps and ensure complete validation of feature sets prior to sign-off.
Lead debug and root-cause analysis efforts in collaboration with senior verification and design engineers, leveraging carefully crafted logs, waveform analysis and assertions to isolate and resolve design or environment issues.
Collaborate closely with architecture, design, and firmware teams to ensure verification completeness, alignment with design intent, and seamless integration at the system level.
Contribute to methodology and infrastructure improvements, including reusable UVM components, automation scripts, and best practices that enhance team efficiency and verification quality.

We are seeking a dynamic and professional product engineer (PE), who enjoys multi-tasking in a fast paced, technical, and friendly environment. In this position you will be focused on product and deployment scalability of the Questa One Formal products with a specific focus on Verify Property quality, performance, and deployment. As a PE you will be working closely with product development teams, marketing managers, application engineers and customers. Some domestic and international travel will be required.
Product Engineers define product features and methodologies:
In this role you will be defining feature and product requirements for the formal products to address current and emerging design challenges. You will be working closely with product development and marketing teams to connect these challenges with our companys current and emerging technical solutions. You will also be guiding customers on formal methodologies and optimizing usage within customer environments.
Support marketing activities:
The PE will work closely with marketing teams to perform market research, product positioning and create supporting presentation materials. You will present and demonstrate the Questa One Formal products in conferences, seminars and events.
Work with customers:
You will be working with individual customers to understand their challenges and support methodology improvements to drive best in class solutions. Your ability to maintain customer relationships will help make you effective in this role. Customer-facing activities include product demonstrations, training, deployments, and competitive benchmarking. PE plays an active role in developing solutions to solve customer problems based on their insight into the customers environment.
Ideally, you will be a seasoned Formal Property Verification (FPV) expert who has knowledge of RTL design needs and formal verification methodologies. Additional responsibilities include:
Identifying market and customer profiles to deploy formal methodologies and technologies. Developing a network of technical relationships at a peer-to-peer level with both our customers and the product engineering teams.
Delivering technical presentations, demonstrations and training to a range of audiences including users, managers, and decision-makers.
Influencing product direction by gathering customer requirements and defining the use of models which drive product development and marketing teams.
Participating in new feature specification, development, and validation processes to ensure the solution will meet customer requirements.

Be a core member of a cross-functional AI innovation team, collaborating closely with software engineers, MLOps specialists, and analysts.
Design, build, and optimize end-to-end AI-driven features - from experimentation and model training to validation and deployment.
Develop production-grade code (Python and C#) to integrate advanced models and data-driven capabilities into our core products.
Continuously evaluate model performance and data quality in real-world settings, proactively driving improvements, retraining, and robust monitoring.

Were looking for a Data Scientist to join our R&D department.
Why is this role so important?
we are a data-focused company, and our unique AI and machine learning capabilities are the center of our business.
As part of this role, you will create data models that help analyze the petabytes of data we receive from various sources, and research and develop new features and capabilities for our product solutions
As a data scientist, you will work on the very core of the company. Part of your role will be to turn raw data into usable metrics and develop new models and statistical algorithms to support out-of-the box requests from customers who want custom digital insights.

Were looking for a Senior Data Scientist to join our R&D department!
Why is this role so important ?
we are a data-focused company, and our unique AI and machine learning capabilities are the center of our business.
As part of this role, you will create data models that help analyze the petabytes of data we receive from various sources, and research and develop new features and capabilities for our product solutions
As a data scientist, you will work on the very core of the company. Part of your role will be to turn raw data into usable metrics and develop new models and statistical algorithms to support out-of-the box requests from customers who want custom digital insights.

Responsibilities:
Design, implement, and improve ML and AI models to drive business outcomes across multiple domains, such as recommendation systems, image recognition, ChatBot, etc.
Own the end-to-end ML lifecycle: data preprocessing, feature engineering, model training, validation, and deployment.
Expert level in designing evaluation pipelines to prove performance, scalability, and consistency
Leverage generative AI and LLMs to enhance existing workflows and explore new product opportunities.
Collaborate with Product, Engineering, and Analytics teams to align modeling efforts with business needs.
Clearly communicate complex findings and model insights to stakeholders.