Oilfield, subsea and industrial energy equipment and services provider
Baker Hughes builds oilfield, subsea and industrial energy equipment, and its stack shows a hardware-first engineering culture: Xilinx FPGAs, PetaLinux and embedded Linux sit alongside Teamcenter PLM, IBM DOORS and MES. Edge AI tooling (PyTorch, TensorRT, OpenVINO, SYCL) points to inference on industrial devices, while engineering-dominated, mid-to-senior hiring across 25 countries backs subsea production and downhole electronics work.
Notable leadership hires: Sales Director, Statutory Lead
Baker Hughes is a publicly traded energy technology company headquartered in Houston, Texas, with more than 10,000 employees. It serves energy and industrial customers through two segments: Oilfield Services & Equipment, and Industrial & Energy Technology. Its portfolio spans oilfield equipment, LNG, turbomachinery, subsea production, industrial asset management and emissions management, with growing work in hydrogen and geothermal. The company operates globally, with hiring across Europe, Asia, the Americas, Africa and the Middle East.
Baker Hughes uses SAP, Oracle, Ariba and Power BI for business systems, Teamcenter, SolidWorks and IBM DOORS for engineering, plus Xilinx FPGAs, PetaLinux, Python, C#, PyTorch and TensorRT for embedded and AI work.
Baker Hughes hires in countries including the United States, United Kingdom, Italy, Germany, China, India, Brazil, Qatar, Guyana, Malaysia, Iraq, Kenya and South Africa.
Current work includes subsea production systems and PCS delivery, an engineering transformation program, control system installations, robotics-integrated product development and high-temperature downhole electronics.
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Baker Hughes'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.