Tesla

Makes electric cars, robotaxis and grid batteries

BMS Controls Engineer - Infrastructure

Controls & Automation EngineeringUpdated on Nov 8

Full-timePalo Alto, CA, USANo salary listedIn-person

About the Job

Requirements

A bachelor's degree in Electrical Engineering, Controls Engineering, or a related field, or equivalent experience with at least 5 years of industry experience.
Hands-on expertise with IP addressing, subnet masking, TCP/IP protocols, VLAN configuration, and network switch management.
Deep knowledge of configuring and integrating BACnet/IP, BACnet MS/TP, Modbus TCP/RTU, and Profinet.
Extensive experience with DDC termination, low-voltage (24V) wiring, relay logic, 4-20mA loops, multimeter troubleshooting, and signal generators for point-to-point validation.
Experience with Inductive Automation Ignition, Automated Logic (ALC) WebCTRL, or Siemens Desigo.
Ability to program, configure, and network Variable Frequency Drives, such as ABB and Sinamics.
Experience with Python/Jython for Ignition scripting, SQL databases, and EIKON ALC Logic.
Knowledge of energy management, HVAC controls, or sustainable building practices.
Proficiency with SQL or time-series databases such as InfluxDB or TimescaleDB.

Responsibilities

Perform low-level field-device setup, including setting MAC addresses, baud rates, and communication parameters; assign, configure, and manage static IP addresses for local DDCs, VFDs, and networked control meters across the internal network.
Create and configure points in the DDC programming environment, translating physical electrical signals such as 4-20mA loops, 0-10VDC, and pulse outputs into scaled engineering units for the BMS database.
Coordinate with network administrators to establish VLANs, configure network switches, and resolve IP conflicts or firewall issues for BMS devices.
Collaborate with facilities staff to identify control points and sensors required for machine-learning modeling, translating the ML team's requirements into technical tasks.
Audit trend data to identify flatlined sensors, calibration drift, and communication dropouts.
Design and maintain the pathway from the BMS edge to a central cloud or on-premises repository; develop scripts or dashboards to monitor data-pipeline health, uptime, and completeness; work with Ignition, WebCTRL, or Desigo and develop sequences of operations.
Configure and program controllers to communicate via standard industry protocols; program DDCs and Siemens PLCs using TIA Portal and IEC 61131-3 languages.
Develop, maintain, and upgrade graphical user interfaces and dashboards within Ignition and ALC to visualize system performance; rationalize alarms with feedback from facilities operations.
Troubleshoot field-level hardware, signal wiring, and network integration issues, including loose terminations, RS-485 trunk integrity, baud-rate mismatches, and faulty sensors.
Program control sequences and alarm logic; manage tag databases, historical data logging, and SQL database connections for reporting.

Desired Qualifications

Certifications such as Certified Energy Manager (CEM), Building Automation Professional (BAP), or IT networking certifications such as CompTIA Network+ or CCNA.

Category	Construction & Facilities
Location	PALO ALTO, California
Requisition ID	285669
Type	Full-time

Job Description

<p>Tesla's Infrastructure DesignX team leads the development of innovative solutions for complex R&D and manufacturing facilities across the Bay Area and beyond. We specialize in creating sophisticated infrastructure systems that power next-generation research and production environments. </p><p>We are seeking a specialized BMS Controls Engineer to bridge the gap between our Facilities Operations and Data Science teams. The ideal candidate will optimize our Building Management Systems (BMS) not just for operation, but for high-fidelity data acquisition. You will work closely with facilities personnel to instrument systems, validate sensor accuracy, and architect the data pipeline required to feed predictive Machine Learning models. </p>

Job Responsibilities

Field Device & Network Configuration: Perform low-level field device setup, including setting MAC addresses, baud rates, and communication parameters. Assign, configure, and manage static IP addresses for local DDCs, VFDs, and networked control meters across the internal network
DDC Termination & Signal Scaling: Execute point creation and configuration within the DDC programming environment. Accurately translate physical electrical signals (e.g., 4-20mA loops, 0-10VDC, pulse outputs) into scaled engineering units for the BMS database
IT/OT Network Integration: Bridge the gap between operational technology (OT) and IT by coordinating with network administrators to establish VLANs, configure network switches, and resolve IP conflicts or firewall issues for BMS devices
Collaborate with facilities staff to identify critical control points and sensors required for ML modeling, translating the complex requirements of the ML team into technical tasks.
Conduct regular audits of trend data to identify "flatlined" sensors, calibration drifts, or communication drop-outs
Design and maintain the pathway from the BMS Edge to the central repository (Cloud/On-Prem). Develop automated scripts or dashboards to monitor the "health" of the data pipeline, ensuring uptime and completeness. (Ignition/WebCTRL/Desigo) and developing the sequence of operations
Configure and program controllers to communicate via standard industry protocols. Program DDCs and Siemens PLCs using TIA-Portal. Should know IEC 61131-3 languages
Develop, maintain, and upgrade intuitive graphical user interfaces (GUIs) and dashboards within Ignition and ALC to visualize system performance. Develop Alarm rationalization with feedback from Facility operations
Advanced Troubleshooting: Troubleshoot field-level hardware, signal wiring, and network integration issues (e.g., fixing loose terminations, verifying RS-485 trunk integrity, correcting baud rate mismatches, and replacing faulty sensors)
Program control sequences and alarm logic. Manage tag databases, historical data logging, and SQL database connections for reporting

Job Requirements

Bachelor's Degree in Electrical Engineering, Controls Engineering, or a related field, or equivalent experience with 5+ years of industry experience
Strong IT/OT Networking Skills: Hands-on expertise with IP addressing, subnet masking, TCP/IP protocols, VLAN configuration, and network switch management
Device Integration Expertise: Deep knowledge of configuring and integrating major protocols: BACnet/IP, BACnet MS/TP, Modbus TCP/RTU, and Profinet
Hardware & Wiring Proficiency: Extensive experience with DDC termination, low voltage (24V) wiring, relay logic, 4-20mA loops, multimeter troubleshooting, and using signal generators for point-to-point validation
Experience with Inductive Automation Ignition, Automated Logic (ALC) WebCTRL, or Siemens Desigo
Ability to program, configure, and network Variable Frequency Drives (e.g., ABB, Sinamics)
Experience with Python/Jython for Ignition scripting, SQL databases, and EIKON ALC Logic
Knowledge of energy management, HVAC controls, or sustainable building practices.
Proficiency with SQL or Time-Series Databases (e.g., InfluxDB, TimescaleDB)
Bonus: Certifications such as Certified Energy Manager (CEM), Building Automation Professional (BAP), or IT networking certifications (e.g., CompTIA Network+, CCNA)

About the Company

Tesla

Makes electric cars, robotaxis and grid batteries

Tesla makes electric cars and batteries that store power for homes and utilities, and it develops self-driving software and humanoid robots. In 2023, its Model Y became the first electric vehicle to rank as the world's best-selling car. Buyers order the Model 3 sedan, Model Y SUV, or Cybertruck pickup directly from Tesla instead of through dealers, and they charge on its Supercharger fast-charging network. It also sells Megapack and Powerwall batteries, runs a robotaxi service, and charges drivers a monthly fee for self-driving software that still needs their supervision. Tesla was founded in 2003, with Elon Musk as its lead early investor and a recognized co-founder, and it is based in Austin, Texas.

Company size: 10,001+
Company stage: IPO
Headquarters: Austin, TX
Founded: 2003

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