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Pipeline run

fedeaaa5-fb49-432d-9be7-13429c52a71b

Pipeline LLM cost (USD)
API 1: $0.0000 API 2: $0.0000 API 3: $0.0000 Total: $0.0000

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
SPARSE JD
Nature of work
no_db_connection
Tech stack maturity
Mainstream Modern
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
0.00 / 5
· Title match
· Has AI skill
· AI skill (primary)
· AI skill (secondary)
· On AI team
· Builds AI products
vocab breakdown (legacy)
Assistants (×1):
Frameworks (×2):
Models / concepts (×3):
Evidence — skills matched in JD (0)
No skills extracted
Skill cluster (0 dimension groups, role-scoped)
No dimension groups computed for this JD.
Status: extract_from_jd_done Created: 2026-05-27T17:36:27.270193Z Updated: 2026-05-27T17:36:27.270193Z
Flow Current 3-step pipeline

1 POST /skills/extract-from-jd

2 POST /skills/extract-details

3 POST /skills/final-role-output

Role Chosen role & resolution

No chosen role stored for this run.

Job description

Simnovus is a disruptive 5G technology company that provides software solutions for RAN Validation. As part of our team, you will have the opportunity to work with the leaders in the 5G industry worldwide. We are a VC-backed company headquartered in RTP, NC with customers worldwide. At Simnovus, we value our employees and believe in creating a positive work culture that fosters creativity, collaboration, and growth. We provide our employees with ample opportunities for professional and personal growth. You will work alongside a talented, diverse, and global team of professionals who are passionate about their work and committed to delivering the best possible results for our customers. We offer a competitive compensation package, comprehensive benefits, and a supportive work environment. If you are passionate about making a difference, delivering exceptional results, and working in a fast-paced environment, we would be delighted to have you on the Simnovus team. Designation: 5G... Baseband Engineer Experience: 5+ years Location : Bangalore Work Mode : On-site Job Description: What Will You Do Design and implement algorithms for baseband signal processing in compliance with 5G standards. Develop and optimize the baseband processing software for efficient communication and data transmission. Implement and optimize protocols at the baseband level, ensuring adherence to 3GPP standards for 5G communication. Develop and implement channel coding and error correction techniques to enhance the reliability of data transmission. Design and optimize modulation and demodulation schemes for effective signal transmission and reception in 5G networks. Implement MIMO systems to improve spectral efficiency and enhance the overall performance of the baseband processing. Integrate baseband processing components with other elements of the 5G network, such as RF components, antennas, and higher-layer protocol stacks. Optimize the performance of baseband processing algorithms and software for low latency, high throughput, and efficient resource utilization. Stay abreast of 3GPP standards and specifications related to baseband processing in 5G networks. What You Will Need Experience with using Matlab to design, simulate and analyze signal processing systems. This role demands a strong foundation in signal processing, communication protocols, and algorithm development within the context of 5G network standards. Developed various signal handlers across the uplink physical layer for different channels (PUSCH, PUCCH, SRS) using C and Python. Built next-generation end-to-end (UE and gNB) solutions with focus on Uplink-Physical Layer and RF functions with emphasis on 3GPP Specifications of Baseband 5G. Designing and developing software for simulating enodeB radio base stations to process signals from PHY layer in 5G network. Simulating test cases for signal traffic by understanding the load with distinguished parameters. Implementing software for scheduling the signals to PHY layer. Experience with wave Judge is a plus. Who can do management of signals, modulation, demodulation, error correction, and other essential functions at the base station (gNodeB or gNB) in a 5G network. Education: Bachelors or Masters degree in Electronics/Communication/Computer Science Engineering or equivalent training,

This job is provided by Shine.com

Library artifacts (this run)

No artifact rows for this run.
API 1 — extract-from-jd click to toggle
{
  "final_skills": [],
  "jd_role": {
    "display_name": "Simnovus is a disruptive 5G technology company that provides software solutions for RAN Validation. As part of our team, you will have the opportunity to work with the leaders in the 5G industry worldwide. We are a VC-backed company headquartered in RTP, NC with customers worldwide. At Simnovus, we value our employees and believe in creating a positive work culture that fosters creativity, collaboration, and growth. We provide our employees with ample opportunities for professional and personal growth. You will work alongside a talented, diverse, and global team of professionals who are passionate about their work and committed to delivering the best possible results for our customers. We offer a competitive compensation package, comprehensive benefits, and a supportive work environment. If you are passionate about making a difference, delivering exceptional results, and working in a fast-paced environment, we would be delighted to have you on the Simnovus team. Designation: 5G... Baseband Engineer Experience: 5+ years Location : Bangalore Work Mode : On-site Job Description: What Will You Do Design and implement algorithms for baseband signal processing in compliance with 5G standards. Develop and optimize the baseband processing software for efficient communication and data transmission. Implement and optimize protocols at the baseband level, ensuring adherence to 3GPP standards for 5G communication. Develop and implement channel coding and error correction techniques to enhance the reliability of data transmission. Design and optimize modulation and demodulation schemes for effective signal transmission and reception in 5G networks. Implement MIMO systems to improve spectral efficiency and enhance the overall performance of the baseband processing. Integrate baseband processing components with other elements of the 5G network, such as RF components, antennas, and higher-layer protocol stacks. Optimize the performance of baseband processing algorithms and software for low latency, high throughput, and efficient resource utilization. Stay abreast of 3GPP standards and specifications related to baseband processing in 5G networks. What You Will Need Experience with using Matlab to design, simulate and analyze signal processing systems. This role demands a strong foundation in signal processing, communication protocols, and algorithm development within the context of 5G network standards. Developed various signal handlers across the uplink physical layer for different channels (PUSCH, PUCCH, SRS) using C and Python. Built next-generation end-to-end (UE and gNB) solutions with focus on Uplink-Physical Layer and RF functions with emphasis on 3GPP Specifications of Baseband 5G. Designing and developing software for simulating enodeB radio base stations to process signals from PHY layer in 5G network. Simulating test cases for signal traffic by understanding the load with distinguished parameters. Implementing software for scheduling the signals to PHY layer. Experience with wave Judge is a plus. Who can do management of signals, modulation, demodulation, error correction, and other essential functions at the base station (gNodeB or gNB) in a 5G network. Education: Bachelors or Masters degree in Electronics/Communication/Computer Science Engineering or equivalent training,",
    "rationale": "JD body too sparse: 6 words, 0 tech-marker hits \u2014 needs more detail (\u003e=80 words or \u003e=2 tech markers) for confident classification",
    "role_aliases": [],
    "role_archetype": "Other",
    "slug": ""
  },
  "nano_parsed": null,
  "rejected": true,
  "rejection_reason": "Sparse JD: JD body too sparse: 6 words, 0 tech-marker hits \u2014 needs more detail (\u003e=80 words or \u003e=2 tech markers) for confident classification",
  "run_id": null,
  "stage3_signals": null,
  "stage4_decision": null,
  "stage5_updates": null
}
API 2 — extract-details
{}
API 3 — final-role-output
{}