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Assistant Telemetry Engineer Jobs in New York (NOW HIRING)

SRE/DevOps Engineer

New York, NY · On-site

$62.25 - $82.75/hr

Versana is seeking a motivated SRE/DevOps Engineer with strong observability experience to join our ... Assist teams in implementing observability tools and leveraging available telemetry data to ...

SRE/DevOps Engineer

New York, NY

$62.25 - $82.75/hr

Versana is seeking a motivated SRE/DevOps Engineer with strong observability experience to join our ... Assist teams in implementing observability tools and leveraging available telemetry data to ...

SRE/DevOps Engineer

New York, NY · On-site

$62.25 - $82.75/hr

Versana is seeking a motivated SRE/DevOps Engineer with strong observability experience to join our ... * Assist teams in implementing observability tools and leveraging available telemetry data to ...

Ensure customers' requirements are met, while internal procedures are followed. * Assist Strategic ... stacks, and network telemetry systems. * Strong knowledge of Hamina/Ekahau, Visio, BlueBeam ...

Posted today

Ensure customers' requirements are met, while internal procedures are followed. * Assist Strategic ... stacks, and network telemetry systems. * Strong knowledge of Hamina/Ekahau, Visio, BlueBeam ...

New

Ensure customers' requirements are met, while internal procedures are followed. * Assist Strategic ... stacks, and network telemetry systems. * Strong knowledge of Hamina/Ekahau, Visio, BlueBeam ...

Posted today

Software Engineer III

Jersey City, NJ · On-site

$63 - $84.50/hr

Leverages enterprise-authorized AI coding assist tools within the work environment to improve code ... Analyze large volumes of structured, unstructured, and telemetry data to uncover trends, anomalies ...

Showing results 21-40

Assistant Telemetry Engineer information

What is an assistant telemetry engineer?

An Assistant Telemetry Engineer is a technical professional who supports the design, installation, maintenance, and troubleshooting of telemetry systems. These systems are used to collect and transmit data remotely, often in industries like aerospace, automotive, energy, and telecommunications. The assistant works under the guidance of senior engineers to ensure accurate data transmission and system reliability. Their tasks may include configuring sensors, running diagnostic tests, and helping analyze performance data. Strong analytical skills and attention to detail are essential in this role.

What are the key skills and qualifications needed to thrive as an assistant telemetry engineer?

To thrive as an Assistant Telemetry Engineer, you need a strong background in electronics, signal processing, and data analysis, often supported by a degree in electrical engineering or a related field. Familiarity with telemetry systems, data acquisition software, and tools like MATLAB or LabVIEW is typically required. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These competencies are crucial for ensuring accurate data collection, system reliability, and seamless collaboration in technical teams.

What are some common challenges faced by assistant telemetry engineers during data collection and analysis?

Assistant Telemetry Engineers often encounter challenges such as ensuring data accuracy, managing large volumes of real-time data, and troubleshooting sensor malfunctions in the field. Working closely with senior engineers and multidisciplinary teams, they must quickly identify and resolve connectivity or calibration issues to maintain data integrity. Adapting to rapidly changing project requirements and learning new telemetry tools are also part of the role, which helps develop valuable problem-solving skills and technical expertise.

What is the difference between Assistant Telemetry Engineer vs Telemetry Engineer?

AspectAssistant Telemetry EngineerTelemetry Engineer
Required CredentialsBachelor's degree in engineering or related field; some certifications preferredBachelor's or master's degree; professional certifications advantageous
Work EnvironmentSupportive team setting, assisting with data collection and analysisLeading telemetry data analysis, system design, and troubleshooting
Employer & Industry UsageUsed in aerospace, automotive, and defense industries for entry-level rolesUsed in similar industries for more advanced telemetry system management
Search & Comparison IntentOften searched by those starting in telemetry or assisting rolesCompared by those seeking advanced telemetry engineering positions

In summary, an Assistant Telemetry Engineer typically supports telemetry systems with entry-level responsibilities, while a Telemetry Engineer handles more complex analysis and system design. The roles differ mainly in experience level, responsibilities, and scope of work, but both require similar educational backgrounds and industry experience.

What does an Assistant Telemetry Engineer do?

An Assistant Telemetry Engineer supports the collection, analysis, and management of telemetry data from medical devices or systems. They assist in monitoring equipment performance, troubleshooting technical issues, and ensuring data accuracy, often using specialized software and tools. This role typically requires technical skills, attention to detail, and knowledge of biomedical or engineering principles.
What are the most commonly searched types of Telemetry Engineer jobs in New York? The most popular types of Telemetry Engineer jobs in New York are:
What cities in New York are hiring for Assistant Telemetry Engineer jobs? Cities in New York with the most Assistant Telemetry Engineer job openings:

AI Foundational Model Engineer

Compunnel

Jersey City, NJ • On-site

Contractor

Posted 12 days ago


Job description

JOB SUMMARY
This role converts AI concepts into secure, scalable, observable, and supportable production systems on the enterprise AI-ready platform (AIRP).
Key Responsibilities
Design and implement LLM-powered applications such as knowledge assistants, document intelligence solutions, workflow agents, summarization tools, and decision-support systems.
Build RAG pipelines using embeddings, chunking strategies, vector databases, semantic retrieval, reranking, response grounding, and citation patterns.
Integrate AI capabilities with AWS-hosted platform components, including model APIs, model gateways, data services, container platforms, and enterprise authentication patterns.
Collaborate with cloud engineering teams on Terraform modules, IaC templates, environment promotion, CI/CD pipelines, release controls, and rollback procedures.
Adapt and optimize models using LoRA, PEFT, instruction tuning, distillation, transfer learning, quantization, and domain adaptation techniques where appropriate.
Optimize inference workloads for latency, throughput, token efficiency, cost, reliability, and user experience.
Implement model and application observability, including prompt logs, retrieval quality, hallucination indicators, drift signals, feedback loops, cost telemetry, and service health.
Embed security, privacy, Responsible AI, and model risk controls into AI application design and delivery.
Create production documentation, runbooks, release notes, test evidence, and audit-ready implementation records.
Required Qualifications
7+ years in AI/ML engineering, platform engineering, software engineering, or applied machine learning.
Hands-on experience with LLMs, transformers, embeddings, RAG, semantic search, and GenAI application patterns.
Strong Python engineering skills with PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, Semantic Kernel, or equivalent frameworks.
Experience deploying production AI services using APIs, containers, Kubernetes, CI/CD, cloud-native services, and monitoring platforms.
Practical exposure to AWS AI/cloud services or comparable cloud-native AI deployment experience, with ability to ramp quickly on AWS-hosted AIRP patterns.
Working knowledge of Terraform/IaC, DevOps pipelines, release management, model evaluation, inference optimization, and secure data handling.
Preferred Qualifications
Banking, risk, compliance, financial crime, operations, or enterprise technology background.
Experience with AWS Bedrock, SageMaker, OpenSearch, Kendra, Lambda, EKS/ECS, Azure OpenAI, Vertex AI, Databricks, vLLM, Triton, MLflow, Kubeflow, or model gateways.
Exposure to cloud-agnostic application patterns, reusable IaC modules, model risk, AI governance, audit controls, AI cost governance, and private or open-source LLM deployments.

Compunnel logo

About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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