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Science Tech Stack

Clinical-stage medical devices for vision, cognition, and mobility restoration

Biotechnology Alameda 51–200 employees Privately Held

Science is a clinical-stage medical device company building implantable systems to restore sensory and motor function in patients with degenerative conditions. The stack reveals a hardware-first engineering operation: Verilog, SystemVerilog, VHDL, FPGA, and RISC-V dominate alongside Solidworks for mechanical design, paired with Python and Go for infrastructure. Active hiring across engineering, manufacturing, and healthcare—with mid-level dominance—reflects scaling toward clinical validation and EU commercialization (prima retinal prosthesis adoption is an active project). Security hardening and real-time neural signal processing appear as concurrent technical priorities, suggesting maturing regulatory and operational readiness.

Tech Stack 69 technologies

Core StackNetSuite SAP Oracle Solidworks Python Terraform Ansible Docker Kubernetes Ruby Go Prometheus Grafana Loki Verilog SystemVerilog TCL Perl RISC-V FPGA Ceph Ubuntu TCP/IP DNS VPN SSL/TLS SSH LDAP VHDL C/C+++39 more
AdoptingSynapse

What Science Is Building

Challenges

  • Improving financial process efficiency
  • Lead time and landed cost management
  • Meeting regulatory compliance in healthcare
  • Implementing security controls across hybrid infrastructure
  • Responding to critical security incidents outside business hours
  • Bulky centralized recording setups
  • Real-time neural signal processing
  • Low-latency streaming
  • Reducing unscheduled downtime
  • Improving process stability

Active Projects

  • Financial dashboards development
  • Normothermic organ perfusion methods
  • Scenario planning
  • New product introductions sourcing
  • Prima retinal prosthesis adoption in eu
  • Microfluidic systems
  • Surgical tools
  • Design and implement technical security controls
  • Integrate application security into software development
  • Harden servers, networks, and endpoints

Hiring Activity

Accelerating30 roles · 25 in 30d

Department

Engineering
9
Healthcare
3
Manufacturing
3
Research
3
Finance
2
Ops
2
Construction
1
Data
1

Seniority

Mid
15
Senior
9
Junior
2
Lead
2
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About Science

Science Corporation develops implantable medical devices targeting vision, cognition, and mobility restoration for patients without existing treatment options. The company operates as a clinical-stage organization with headquarters in Alameda, California, and an office in Paris, France, positioning it for European regulatory pathways. Beyond its own product pipeline, Science Foundry provides components and vertically integrated manufacturing infrastructure to other medical device companies. The organization spans 51–200 employees across engineering, healthcare, manufacturing, research, and finance functions, with active hiring in the United States, France, and Germany.

HeadquartersAlameda
Company Size51–200 employees
Hiring MarketsUnited States, France, Germany

Frequently Asked Questions

What is Science Corporation's main product focus?

Science develops implantable devices aimed at restoring vision, cognition, and mobility in patients with debilitating conditions lacking existing treatment options. The company also operates Science Foundry, providing components and infrastructure to other medical device makers.

What tech stack does Science use?

Science's stack emphasizes hardware design (Verilog, SystemVerilog, VHDL, FPGA, RISC-V, Solidworks) and infrastructure automation (Terraform, Ansible, Docker, Kubernetes). Enterprise systems include NetSuite, SAP, and Oracle. The company is adopting Synapse for data analytics.

Where does Science Corporation have offices?

Science is headquartered in Alameda, California, with an additional office in Paris, France. The company is actively hiring in the United States, France, and Germany.

How this profile is built

Science's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.