Senior DSP Engineer at Nokia developing advanced algorithms for fiber optic systems exceeding 800 Gbps. Collaborating with ASIC teams to implement DSP algorithms in high - performance optical networking products.
About the role
- Product Engineer deploying AI-powered solutions in pharmaceutical manufacturing environments. Building relationships with clients and driving improvements using Basetwo's platform.
Responsibilities
- Partner directly with pharmaceutical and chemical manufacturing customers to deploy and scale Basetwo solutions
- Lead technical onboarding and implementation of digital twin projects across pilot, lab, and commercial manufacturing environments
- Build trusted relationships with process engineers and scientists, operators, and technical leadership teams
- Identify opportunities for process scale up/tech transfer, operational improvement, and AI-driven insights
- Translate customer pain points into actionable technical solutions and product feedback
- Drive successful project execution from initial discovery through deployment and measurable business impact
- Analyze manufacturing, process, and lab/DoE datasets to uncover process bottlenecks and optimization opportunities
- Develop simulations, models, and analytical workflows using Python and the Basetwo platform
- Work with industrial data systems and historians to integrate and contextualize manufacturing data
- Collaborate closely with product, engineering, and machine learning teams to improve platform capabilities
- Communicate technical findings clearly to both technical and non-technical stakeholders
- Support troubleshooting and root-cause investigations in complex manufacturing environments
- Contribute to continuous improvement initiatives across customer manufacturing operations
Requirements
- 5–7+ years of engineering experience in pharmaceuticals and/or chemical manufacturing
- Strong understanding of plant, pilot, and lab-scale pharmaceutical manufacturing processes
- Passion for using Python for simulation, modelling, and process analysis
- Proven ability to understand and analyze process and lab/DoE data
- Strong communication skills with the ability to work directly with customer stakeholders
- Proactive problem-solver with a demonstrated track record of driving continuous improvement initiatives
- Experience working in cross-functional technical environments
- Knowledge of enterprise historians such as OSIsoft PI, DeltaV, Wonderware, GE Proficy, or similar industrial systems is valuable
Benefits
- Work on cutting-edge AI applications in pharma manufacturing
- Collaborate with a highly technical and mission-driven team
- Solve meaningful problems in pharmaceutical and chemical production
- Gain exposure to leading global manufacturing organizations
- Opportunity for ownership and impact in a rapidly growing company
- Competitive compensation, equity, and benefits package
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