Total 316 systems engineer job vacancies in Maintenance / Repair category in Singapore

Job Description:

• In charge of conducting and certify scheduled and unscheduled maintenance, repair, and testing of aircraft systems and components.
• Responsible for carrying out complex tasks such as engine servicing and component replacement, troubleshooting defects, and maintaining production equipment.
• In charge of performing detailed inspections of aircraft structures, landing gear, engines, and other critical systems.
• In charge of leading and supervising teams of technicians to complete maintenance tasks efficiently.
• Responsible in promoting and upholding a culture of safety among maintenance teams and ensure all activities comply with quality standards.
• Maintain detailed and accurate records of all maintenance activities and certifications.
• Ensure all work is performed in accordance with regulations from the Civil Aviation Authority (CAA) and the Original Equipment Manufacturer (OEM).

Job Requirement:

• Minimum Degree in Mechanical/Manufacturing/Aeronautical Engineering or equivalent.
• Minimum 3 years of working experience in MRO industry
• Knowledge of special processes such as Weldng (TIG/EBW), Thermal Spray, Heat Treatment, Machining will be advantage

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

About Cynapse 

Cynapse is a leading Agentic AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Agentic AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. 

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what’s possible with video intelligence. 

Job Description 

We are looking for a Junior to Mid-Level Machine Learning Engineer to join our Model Engineering Team. This role is intended for engineers who view models as systems to be understood, developed, and improved rather than simply consumed as black-box components.

You will contribute across the full model lifecycle, from dataset preparation and architecture development to training, evaluation, and optimisation. Working closely with experienced engineers, you will improve model performance through experimentation, data-centric approaches, and systematic analysis, helping to build robust and efficient computer vision systems for real-world applications.

What You’ll Do: 

• Train, fine-tune, and evaluate computer vision models for tasks such as classification, object detection, segmentation, pose estimation, and action recognition.
• Contribute to model development through architecture enhancements, custom heads, loss functions, and training strategy optimisation.
• Design and execute experiments to evaluate model improvements and performance trade-offs.
• Prototype, benchmark, and assess new architectures, techniques, and approaches against established baselines.
• Investigate edge cases and performance limitations, and improve model accuracy, robustness, and efficiency.
• Consider practical constraints such as latency, throughput, resource efficiency, and hardware-specific optimisation.
• Collaborate with engineering teams to improve dataset quality, model performance, and system reliability.

Requirements 

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.
• At least 2 years of hands-on experience training, fine-tuning, and evaluating computer vision models through academic, project, internship, or professional work.
• Hands-on experience with PyTorch and/or TensorFlow.
• Proficiency in Python and familiarity with Linux environments and command-line tools.

Bonus Skills 

• Experience modifying models beyond high-level APIs (e.g. custom heads, backbone modifications, loss functions, or training pipelines).
• Exposure to multimodal, vision-language, foundation, or open-vocabulary models.
• Experience with optimisation techniques such as quantisation, pruning, distillation.
• Familiarity with experiment tracking, reproducibility, or MLOps practices.

Personal Competencies 

• Strong interest in understanding how model architectures, data quality, and training strategies influence performance.
• Enjoy experimentation, performance analysis, and iterative model improvement.
• Eager to take ownership of model components and grow into increasingly complex model development responsibilities.

Note: Due to the nature of the role, the position is considered only for candidates who are already based in Singapore.

Job Description:

• In charge of conducting and certify scheduled and unscheduled maintenance, repair, and testing of aircraft systems and components.
• Responsible for carrying out complex tasks such as engine servicing and component replacement, troubleshooting defects, and maintaining production equipment.
• In charge of performing detailed inspections of aircraft structures, landing gear, engines, and other critical systems.
• In charge of leading and supervising teams of technicians to complete maintenance tasks efficiently.
• Responsible in promoting and upholding a culture of safety among maintenance teams and ensure all activities comply with quality standards.
• Maintain detailed and accurate records of all maintenance activities and certifications.
• Ensure all work is performed in accordance with regulations from the Civil Aviation Authority (CAA) and the Original Equipment Manufacturer (OEM).

Job Requirement:

• Minimum Degree in Mechanical/Manufacturing/Aeronautical Engineering or equivalent.
• Minimum 3 years of working experience in MRO industry
• Knowledge of special processes such as Weldng (TIG/EBW), Thermal Spray, Heat Treatment, Machining will be advantage

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

Job Summary

Responsible for the administration, maintenance, and continuous improvement of the IBM Maximo system. This role ensures the accuracy, integrity, and accessibility of master data required for work order management and routine operations. The incumbent will collaborate with cross-functional teams to manage Maximo-related activities, maintain compliance with company and regulatory requirements, and support system enhancements and audit readiness.

Key Responsibilities

• Create, update, and maintain asset records (e.g., equipment, instruments, and facilities) throughout the asset lifecycle, from commissioning and maintenance to decommissioning and retirement.

• Ensure the accuracy and completeness of master data, including preventive maintenance frequencies, schedules, job plans, and work instructions within the Maximo system.

• Perform accurate and timely data entry to support new asset creation, maintenance activities, and ongoing operational requirements.

• Maintain data integrity and ensure all activities are performed in accordance with approved procedures, workflows, and compliance requirements.

• Provide user support and guidance on Maximo processes, workflows, and best practices.

• Participate in system upgrades, enhancements, and validation activities as a user acceptance tester (UAT).

• Develop, update, and maintain user guides, standard operating procedures (SOPs), and training materials in collaboration with Maximo administrators across other sites.

• Foster effective communication and collaboration with internal stakeholders to ensure smooth system operation and data consistency.

• Ensure compliance with applicable industry standards, company policies, quality requirements, and regulatory guidelines.

• Support internal and external audits by preparing and providing required documentation, records, and system information.

• Perform additional Maximo-related duties and projects as assigned by the Compliance and Qualification Lead.

Requirements

• Strong knowledge of IBM Maximo administration and asset management processes
• High attention to detail with a focus on data accuracy and integrity.
• Good understanding of preventive maintenance programs and asset lifecycle management.
• Strong communication and stakeholder management skills.
• Ability to work effectively across multiple departments and functional teams.
• Knowledge of GMP, quality systems, and compliance requirements is an advantage.

GMP Technologies (S) Pte Ltd | EA License 11C3793 | EA Personnel: Novita Widjaja |Registration No: R22105960

Responsibilities:

• Select, use, and maintain service tools correctly to perform assigned tasks efficiently and safely.
• Install electrical components, including switches, sensors, transducers, transmitters, current transformers, alternator components, and control panels.
• Perform engine wiring installation in accordance with engineering drawings and specifications.
• Disassemble and assemble engine components, including oil pumps, water pumps, cylinder heads, and related parts.
• Carry out engine valve lash adjustments to ensure optimal engine performance.
• Assist in and perform mechanical installation works, including radiator assemblies, couplings, engines, alternators, gearboxes, piping systems, and hoses.
• Assist in and perform alignment works for radiator assemblies, engines, and alternator installations.
• Prepare generator sets for load testing activities.
• Conduct safety device testing and load testing, including recording and documenting all required operational parameters and test results.
• Connect and utilize Electronic Technician (ET) diagnostic tools to retrieve engine diagnostic codes, event logs, and operational data.
• Perform troubleshooting and fault diagnosis on engines and generators, identifying root causes and implementing corrective actions.
• Ensure all work is carried out in compliance with safety regulations, quality standards, and company procedures.

Requirements

• Possess an ITE or equivalent.
• Minimum 5 years of relevant hands-on experience.
• Electrical hands-on experience is a must.

To submit your application, please apply online to apply@rn-care.com or call +(65) tel: 6514 9838 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

Job Descriptions:

• Drive continuous improvement initiatives to achieve SQCDP (Safety, Quality, Cost, Delivery, People) targets and enhance overall operational performance.
• Plan and execute daily, weekly, and monthly production schedules in collaboration with Planning to ensure efficient order fulfillment.
• Lead shift operations, including Level 1 and Level 2 briefings, and act as the escalation point for operational, technical, and resource issues.
• Uphold and enforce site standards across EHS, Quality, and GMP, while coaching teams and ensuring compliance with company values and Singapore WSH regulations.
• Oversee training and development of operators, including onboarding, technical training, and maintaining accurate training records in line with established frameworks.
• Manage maintenance activities, including execution of Planned Preventive Maintenance (PPM), equipment diagnostics, and coordination with vendors to minimize downtime and ensure reliability.
• Lead safety, quality, and continuous improvement initiatives, including audits, LOTO/PTW compliance, incident investigations, and root cause analysis (NCR/CAPA, 5S).

Job Requirements:

• Education: Diploma/Degree in Mechanical, Electrical, or Mechatronics Engineering.
• Technical: Minimum 5+ years in a supervisory role with knowledge on TPM (Total Productive Maintenance) or Lean Maintenance, ideally within a chemical or related manufacturing environment.
• Leadership: Proven experience in implementing PPM schedules and managing technical vendor contracts.
• Safety: Certified in LOTO, PTW, and Work-at-Height).
• Familiar with WSH (Workplace Safety & Health) Act & NEA Regulations, with hands-on experience overseeing hazardous material equipment and engineering safety.
• Knowledgeable with ISO9001 standard and Halal manufacturing requirements.
• Experience in vendor & contract management such as coordination with third-party contractors and negotiation of local service-level agreements (SLAs).
• Excellent organizational and time management skills; ability to forward-plan workload against resource availability.

If you are interested in this opportunity, submit your application now to find out more about this position.
We regret that shortlisted candidates will be notified.

Chen Hsiu Wen (Winnie) | Personal Reg No:R1980765
Manpower Staffing Services (S) Pte Ltd | EA License No: 02C3423

About the Role

Our client is seeking a Data Scientist / Machine Learning Engineer to support the development, deployment, and optimization of machine learning solutions that enable data-driven decision-making. The successful candidate will work closely with business stakeholders, data engineers, and technical teams to transform complex datasets into actionable insights and predictive models.

Key Responsibilities

• Analyze large and diverse datasets to identify trends, patterns, and business insights.
• Develop, train, validate, and optimize machine learning models for predictive and classification use cases.
• Perform data preparation, feature engineering, and model evaluation activities.
• Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
• Design and conduct experiments, hypothesis testing, and statistical analyses to support business objectives.
• Work closely with data engineering teams to prepare and optimize datasets for modelling and analytics.
• Develop data visualizations and dashboards to communicate findings and recommendations effectively.
• Monitor and maintain machine learning models in production environments to ensure performance and accuracy.
• Contribute to the continuous improvement of data science and machine learning best practices.

Requirements

• Bachelor's Degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related discipline.
• Minimum 3 years of relevant experience in Data Science, Machine Learning, Artificial Intelligence, or related fields.
• Strong proficiency in Python and SQL.
• Hands-on experience developing and deploying machine learning models in production environments.
• Good understanding of statistics, predictive analytics, machine learning algorithms, and model validation techniques.
• Experience with data visualization tools such as Power BI, Tableau, or equivalent.
• Experience working with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
• Strong problem-solving skills and ability to communicate technical concepts to non-technical stakeholders.

Preferred Skills

• Experience with Spark, Databricks, Airflow, Azure Data Factory, AWS Glue, or similar data platforms.
• Familiarity with MLOps practices, CI/CD pipelines, Docker, or Kubernetes.
• Exposure to Generative AI, Large Language Models (LLMs), or AI foundation models will be advantageous.
• Experience working with large-scale datasets and distributed computing environments.

How To Apply:

Submit your application by emailing a detailed copy of your updated Resume in MS Word Format to Lin Jin Sen (EA Personnel Reg. No. R25129852, Achieve Career Consultant Pte Ltd EA Licence No. 05C3451)

by clicking the “Apply Now” or email to andie.lin@achievegroup.asia for a confidential discussion

Current & Expected Salary

Reason(s) for leaving

Notice Period / Availability to commence work

YOUR SUCCESS IS OUR ACHIEVEMENT!

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us collecting, using, retaining and disclosing your personal information to prospective employers for their consideration.

Cessation Of Collection Of Full NRIC Numbers:

In compliance with the Personal Data Protection Act and commitment to protect candidates’ personal data, Achieve Group will cease to collect, process or use full NRIC numbers during our screening and job application process.

Kindly ensure your resumes provided to us does not contain your full NRIC number and full home address during your job application.

We regret that only shortlisted candidates will be notified.

Our client is from Oil and Gas industry, a local leading player. They are looking for a Senior Engineer, Instrumentation & Control for the next phase of their business. They are located in West.

Duties:

• Provide technical support for Production and Maintenance teams on instrument-related issues.
• Work with teams to reduce instrument maintenance costs and improve functionality.
• Coordinate with external stakeholders on gas pipeline networks, electrical grids, instruments, and metering interfaces.
• Update maintenance procedures for instruments, PLC, Fire & Gas systems, ESD, metering, CCTV, and security equipment.
• Conduct root cause analysis for instrument incidents and recommend preventive actions.
• Implement MOC projects to enhance instrument reliability and operational efficiency.
• Ensure verification, inspection, testing, and certification of electrical and instrument equipment in hazardous areas.
• Support maintenance and major equipment turnarounds.
• Manage the functional safety lifecycle of SIS in the terminal.
• Assist in expansion projects, ensuring facility integrity and seamless integration.
• Participate in emergency response with designated roles and responsibilities.

Requirements

• Min Bachelor’s Degree in Engineering related field.
• Min 5 years’ experience in Oil & Gas or Petrochemical industry
• Experience in instrument & control maintenance

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email Address: jobs@recruitpedia.sg

Recruitpedia Pte. Ltd.

EA License No: 19C9682

EA Personnel No: R2198636 (Oh Puey Xin)

Working days: either 4 days 12 hours rotating shift

Location: Islandwide , office at Woodlands

Salary: $2800 -$3500 depends on experience

Job scope:

• Semiconductor machines startup and installation

• Perform equipment on-site installation, diagnosing, troubleshooting, servicing, and repairing

• Perform equipment continuous improvement programmes, preventive maintenance, modifications and repairing works

• Serves as company contact point with customer on technical matters

• Attends to customers complaints and provides timely solutions

• Other ad hoc duties

Requirements:

• Nitec/ Diploma in Mechanical/ Mechatronic Engineering or related discipline

• Hands-on experience in semiconductor machine maintenance

• Able to work in cleanroom environment

  
  

Kelly Chong Reg No:R26161160

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Oversee preventive and corrective maintenance on machinery, equipment, and facility systems to ensure smooth operations.

Supervise troubleshooting of mechanical and electrical issues and carry out repairs in a timely manner to minimize downtime.

Conduct routine inspections and maintenance checks on production equipment and tools.

Assist in equipment installation, testing, and maintenance documentation as required.

Follow workplace safety procedures and maintain proper housekeeping standards within the work area.

Responsibilities:

• Develop new manufacturing and repair process technology to assist component teams in implementing repair strategies or fulfilling factory NPI requirements.

• Create a validation plan for repair materials and laser cladding process technology in conjunction with New Repair Introduction engineers.

• Ensure the successful transfer of development processes and validate repair service centers' qualifications and certifications for their repair procedures.

• Execute the design, analysis, or evaluation of assigned projects using sound engineering principles while adhering to business standards, practices, procedures, and product/program requirements.

• Monitor and communicate project status, business issues, and significant developments.

• Maintain an in-depth knowledge of joining processes, including a variety of techniques such as welding and brazing, to effectively address diverse engineering challenges and select the most appropriate method for specific applications.

• Assure proper documentation of technical data generated for assigned projects and/or tasks consistent with engineering policies and procedures.

• Provide continuous improvement support and seek opportunities to enhance processes across the repair network.

• Collaborate with supply chain, component teams, productivity departments, and other GE organizations to identify opportunities for projects and improvements within the supply chain network.
  

Requirements:

• Bachelor's degree in Welding, Materials, Manufacturing, Mechanical Engineering, or an equivalent engineering degree, or equivalent experience.

• Minimum of 8 years of manufacturing experience, with at least 5 years in joining processes.

• Demonstrate strong understanding of laser cladding process, superalloy welding and brazing metallurgy, as well as working with Machinery with Numerical Controls.

• Knowledge of industrial gas turbine components and processes, such as thermal spray coating, surface finishing, sealing, machining, etc., would be advantageous.

• Ability and willingness to travel a minimum of 10% of the time, as required.
  

OTHER INFORMATION:

• Location: Pioneer

• Timing: 7:30am – 5pm (Mon – Fri)

• Salary: Up to $8500 Basic + AWS + Variable Bonus(salary will commensurate according to experience & qualifications)

Repair Development Engineer (Joining Technology)

• Location: Pioneer

• Timing: 7:30am – 5pm (Mon – Fri)

• Salary: Up to $8500 Basic + AWS + Variable Bonus(salary will commensurate according to experience & qualifications)

Responsibilities:

• Develop new manufacturing and repair process technology to assist component teams in implementing repair strategies or fulfilling factory NPI requirements.

• Create a validation plan for repair materials and laser cladding process technology in conjunction with New Repair Introduction engineers.

• Ensure the successful transfer of development processes and validate repair service centers' qualifications and certifications for their repair procedures.

• Execute the design, analysis, or evaluation of assigned projects using sound engineering principles while adhering to business standards, practices, procedures, and product/program requirements.

• Monitor and communicate project status, business issues, and significant developments.

• Maintain an in-depth knowledge of joining processes, including a variety of techniques such as welding and brazing, to effectively address diverse engineering challenges and select the most appropriate method for specific applications.

• Assure proper documentation of technical data generated for assigned projects and/or tasks consistent with engineering policies and procedures.

• Provide continuous improvement support and seek opportunities to enhance processes across the repair network.

• Collaborate with supply chain, component teams, productivity departments, and other GE organizations to identify opportunities for projects and improvements within the supply chain network.
  

Requirements:

• Bachelor's degree in Welding, Materials, Manufacturing, Mechanical Engineering, or an equivalent engineering degree, or equivalent experience.

• 8 years of manufacturing experience, with at least 5 years in joining processes.

• Demonstrate strong understanding of laser cladding process, superalloy welding and brazing metallurgy, as well as working with Machinery with Numerical Controls.

• Knowledge of industrial gas turbine components and processes, such as thermal spray coating, surface finishing, sealing, machining, etc., would be advantageous.

• Ability and willingness to travel a minimum of 10% of the time, as required.

Responsibilities:

• Select, use, and maintain service tools correctly to perform assigned tasks efficiently and safely.
• Install electrical components, including switches, sensors, transducers, transmitters, current transformers, alternator components, and control panels.
• Perform engine wiring installation in accordance with engineering drawings and specifications.
• Disassemble and assemble engine components, including oil pumps, water pumps, cylinder heads, and related parts.
• Carry out engine valve lash adjustments to ensure optimal engine performance.
• Assist in and perform mechanical installation works, including radiator assemblies, couplings, engines, alternators, gearboxes, piping systems, and hoses.
• Assist in and perform alignment works for radiator assemblies, engines, and alternator installations.
• Prepare generator sets for load testing activities.
• Conduct safety device testing and load testing, including recording and documenting all required operational parameters and test results.
• Connect and utilize Electronic Technician (ET) diagnostic tools to retrieve engine diagnostic codes, event logs, and operational data.
• Perform troubleshooting and fault diagnosis on engines and generators, identifying root causes and implementing corrective actions.
• Ensure all work is carried out in compliance with safety regulations, quality standards, and company procedures.

Requirements

• Possess an ITE or equivalent.
• Minimum 5 years of relevant hands-on experience.
• Electrical hands-on experience is a must.

To submit your application, please apply online to apply@rn-care.com or call +(65) tel: 6514 9838 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

Job Title: CNC Maintenance Technician / Engineer (ID4686)
Location: Boon Lay
Working Hours:Monday to Friday: 9:00 AM – 7:00 PM, Saturday: 9:00 AM – 5:00 PM
(Work on 3 Saturdays per month, off on 1 Saturday)
Salary : $3000-$4000

CNC Maintenance Technician / Engineer
Key Responsibilities:
• Perform regular maintenance and inspection of CNC machines (lathe, milling, etc.)
• Troubleshoot mechanical, electrical, and control issues in CNC equipment
• Replace or repair defective components, such as servo motors, ball screws, spindles, etc.
• Maintain and calibrate CNC machines to ensure machining precision
• Work closely with the production and engineering team to ensure machine uptime
• Maintain accurate records of maintenance activities
• Comply with safety standards and company policies at all times

Description:

• Lead applied research and strategic definition of machine learning algorithms, quantization methodologies, and toolchain capabilities for the Neural Network Development Kit (NDK) roadmap targeting next-generation Edge AI compute solutions
• Drive innovation at the intersection of ML algorithms and constrained hardware environments, identifying and validating the latest Edge AI technologies applicable to product requirements
• Serve as the primary technical interface between the AI Architecture team and the Software (Edge AI) team, delivering well-researched toolchain feature proposals and algorithmic specifications for implementation
• Collaborate with Software (Edge AI) and AI Architecture teams to identify and pursue targeted improvements in ML software methodology, and support Software-initiated improvement efforts with algorithmic insight and implementation guidance
• Maintain deep engagement with the global Edge AI research community to ensure the NDK roadmap reflects the state of the art in model efficiency, compression, and on-device learning

Key Responsibilities:

• Collaborate with the Sr. Design Manager (AI Architect) to define and maintain the NDK toolchain feature roadmap, ensuring alignment with the NPU hardware roadmap and overall AI product strategy
• Research, evaluate, and recommend quantization algorithms, pruning strategies, knowledge distillation techniques, and other model compression methodologies suited to constrained hardware targets
• Assemble and lead focused task forces drawing on partial bandwidth from the Software (Edge AI) and IC Design teams to prototype, benchmark, and validate proposed toolchain concepts before broader commitment
• Prototype and benchmark candidate ML algorithms and toolchain features to quantitatively demonstrate accuracy-performance trade-offs and justify roadmap prioritization

• Translate hardware architectural capabilities and constraints (as defined by the NPU Architect) into concrete toolchain feature requirements and algorithmic optimization opportunities
• Deliver comprehensive technical specifications and algorithmic documentation to the Software (Edge AI) team to enable confident and accurate implementation of NDK features
• Collaborate closely with the Software (Edge AI) team throughout the implementation phase to resolve algorithmic questions, validate correctness of implementations, and ensure performance targets are met
• Actively monitor and synthesize developments from the Edge AI research community — including publications, open-source frameworks, and industry benchmarks — to continuously inform and refresh the NDK roadmap
• Partner with the Software (Edge AI) team to jointly identify ML toolchain methodology improvement opportunities and drive those that originate from the AI Architecture team; provide expert advisory support for methodology improvements initiated by the Software team
• Evaluate and apply a range of productivity tools and techniques — including but not limited to AI-assisted methods — to accelerate algorithmic prototyping, benchmarking, and specification productivity
• Evaluate and integrate relevant open-source ML frameworks, runtimes, and toolchain components (e.g., MLIR, TVM, ONNX Runtime) as acceleration vectors for NDK development

Requirements:

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Computer Engineering, or related technical field; PhD preferred, particularly in machine learning, optimization, or computer architecture
• 8+ years of experience in applied machine learning engineering or Edge AI software, with at least 5 years focused on model optimization, ML compilers, or on-device inference toolchain development
• Proven expertise in quantization (PTQ, QAT), pruning, knowledge distillation, and other model compression techniques with demonstrated results on resource-constrained hardware
• Strong knowledge of AI/ML algorithms, neural network architectures (CNNs, RNNs, Transformers, etc.), and the trade-offs between model accuracy, computational complexity, and memory footprint
• Demonstrated ability to stay at the forefront of the Edge AI research community, with a track record of translating academic and industry advances into practical product roadmap contributions
• Hands-on experience with mainstream ML frameworks (PyTorch, TensorFlow/Lite) and familiarity with ML compiler stacks such as MLIR, TVM, or ONNX Runtime
• Experience consuming hardware architectural specifications and translating them into software toolchain requirements and algorithmic optimizations
• Excellent communication skills with ability to present complex research findings and toolchain proposals clearly to architecture, software, and executive audiences
• Strong analytical and problem-solving abilities with emphasis on quantitative benchmarking, accuracy-efficiency trade-off analysis, and performance profiling on target hardware
• Demonstratedability to work collaboratively across team boundaries, including assembling and coordinating cross-functional task forces without direct authority
• Familiarity with RISC-V ISA and its software ecosystem, particularly in the context of AI inference deployment
• Experience with FPGA-based or simulator-based prototyping to validate algorithmic concepts against pre-silicon hardware models (preferred but not required)
• Self-motivated with ability to work independently, lead applied research initiatives, and drive toolchain innovation from algorithmic exploration through specification and successful team handoff