Pipeline run
6b26a82e-0ce2-4363-a23d-a481b536cd12
Pipeline LLM cost (USD)
API 1: $0.0040
API 2: $0.0000
API 3: $0.0000
Total: $0.0040
Client output enrichment
v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA descriptionNature of work
—
Tech stack maturity
Mainstream Modern
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
0.50 / 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):
Machine Learning
Evidence — skills matched in JD (17)
C
C++
x86
ARM
SSE
AVX
NEON
Git
AV1
H.265
H.264
MPEG-2
VP9
OpenCL
CUDA
Machine Learning
Neural Networks
Skill cluster (0 dimension groups, role-scoped)
Show KRA description ↓
The prospective candidate will be part of the Advanced Video and Research Team that designs and delivers video codec solutions for industry leaders in video technology.
The key responsibilities of the job would be to deliver and excel on the following fronts (not limited to):
• Development and implementation of optimized algorithms for video encoders, video decoders, video pre and post processing components on x86 and ARM based CPUs
• Work involves implementation of high quality video encoders, decoders and transcoders and associated intellectual properties like Motion estimation, Rate Control algorithms, Scene Cut Detection, Fade-in / Fade-out Compensation, De-interlacing, De-noising as an example
• Working on latest technology of Machine learning and Neural Network based video compression
• Knowledge of C/C++
• Knowledge of x86 based development, intrinsic like SSE, AVX based coding
• Knowledge of ARM based development, intrinsic like Neon coding
• Debugging, profiling and development environments
• Good knowledge of video standards like AV1 and H.265
• Working knowledge of H.264, MPEG-2 and VP9 is good to possess
• Software Processes, Git, Configuration Management, Test Planning and Execution
• Exposure to multi-threaded, cache optimal designs of video codecs
• Exposure to OpenCL based GPU development / CUDA based programming
• Aware of Machine learning and Neural Network basics.
Signals
Skill
ml-engineer
0.12
Alias
ar-vr-engineer
0.59
KRA
ml-engineer
0.31
Post-classification
Centroidupdated · n=1
Alias collision log—
New-role queue—
New skills captured12
New KRA capturedyes
Captured for admin review
x86
primary
↔
Video Codec Engineer
pending
SSE
primary
↔
Video Codec Engineer
pending
AVX
primary
↔
Video Codec Engineer
pending
NEON
primary
↔
Video Codec Engineer
pending
AV1
primary
↔
Video Codec Engineer
pending
H.265
primary
↔
Video Codec Engineer
pending
H.264
↔
Video Codec Engineer
pending
MPEG-2
↔
Video Codec Engineer
pending
VP9
↔
Video Codec Engineer
pending
OpenCL
↔
Video Codec Engineer
pending
CUDA
↔
Video Codec Engineer
pending
Neural Networks
↔
Video Codec Engineer
pending
R&R fragment (sim 0.00)
↔
Video Codec Engineer
pending
The prospective candidate will be part of the Advanced Video and Research Team that designs and delivers video codec solutions for industry leaders in video technology. The key responsibilities of th…
Status:
extract_from_jd_done
Created: 2026-05-20T13:10:51.826388Z
Updated: 2026-05-20T13:10:55.061391Z
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
Role : Video Codec Engineer Required Experience: Candidates must have development experience ranging from 2 to 4 years. • Experience in implementing video compression standards based and/or proprietary Image and Video codecs/algorithms • Must have exposure and development experience ARM and/or x86 based platforms like Xeon E5/E3, Core-i7/i5 • Experience of development using operating systems like Windows / Linux / OS X Job Description: The prospective candidate will be part of the Advanced Video and Research Team that designs and delivers video codec solutions for industry leaders in video technology. Responsibility: The key responsibilities of the job would be to deliver and excel on the following fronts (not limited to): • Development and implementation of optimized algorithms for video encoders, video decoders, video pre and post processing components on x86 and ARM based CPUs • Work involves implementation of high quality video encoders, decoders and transcoders and associated intellectual properties like Motion estimation, Rate Control algorithms, Scene Cut Detection, Fade-in / Fade-out Compensation, De-interlacing, De-noising as an example • Working on latest technology of Machine learning and Neural Network based video compression Educational Qualification: Masters or Bachelor’s Degree in Computer Science / Electronics and Communication Required Technical Skills: • Knowledge of C/C++ • Knowledge of x86 based development, intrinsic like SSE, AVX based coding • Knowledge of ARM based development, intrinsic like Neon coding • Debugging, profiling and development environments • Good knowledge of video standards like AV1 and H.265 • Working knowledge of H.264, MPEG-2 and VP9 is good to possess • Software Processes, Git, Configuration Management, Test Planning and Execution • Exposure to multi-threaded, cache optimal designs of video codecs • Exposure to OpenCL based GPU development / CUDA based programming • Aware of Machine learning and Neural Network basics. Location: Bengaluru, Karnataka
Skills from this JD
Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.
C
Primary
No API 2 row (run stopped after API 1 or history missing)
C++
Primary
No API 2 row (run stopped after API 1 or history missing)
x86
Primary
No API 2 row (run stopped after API 1 or history missing)
ARM
Primary
No API 2 row (run stopped after API 1 or history missing)
SSE
Primary
No API 2 row (run stopped after API 1 or history missing)
AVX
Primary
No API 2 row (run stopped after API 1 or history missing)
NEON
Primary
No API 2 row (run stopped after API 1 or history missing)
Git
Primary
No API 2 row (run stopped after API 1 or history missing)
AV1
Primary
No API 2 row (run stopped after API 1 or history missing)
H.265
Primary
No API 2 row (run stopped after API 1 or history missing)
H.264
Secondary
No API 2 row (run stopped after API 1 or history missing)
MPEG-2
Secondary
No API 2 row (run stopped after API 1 or history missing)
VP9
Secondary
No API 2 row (run stopped after API 1 or history missing)
OpenCL
Secondary
No API 2 row (run stopped after API 1 or history missing)
CUDA
Secondary
No API 2 row (run stopped after API 1 or history missing)
Machine Learning
Secondary
No API 2 row (run stopped after API 1 or history missing)
Neural Networks
Secondary
No API 2 row (run stopped after API 1 or history missing)
Library artifacts (this run)
No artifact rows for this run.
nano JD Parser — gpt-4.1-nano click to toggle
RoleVideo Codec Engineer
ExperienceCandidates must have development experience ranging from 2 to 4 years.
DomainOther
Location
Bengaluru, India
JD type
pass
Show raw JSON
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"certifications": [],
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{
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}
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}
],
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"role_aliases": [
"Codec Engineer",
"Video Engineer",
"Video Compression Engineer"
],
"role_archetype": "Engineering",
"roles_and_responsibilities": [
{
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"source_marker": {
"first_5_words": "The prospective candidate will be",
"last_5_words": "in video technology."
},
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"last_5_words": "and Neural Network basics."
},
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"word_count": 104
}
],
"urls": []
}
API 1 — extract-from-jd click to toggle
{
"final_skills": [
{
"is_primary": true,
"skill_name": "C"
},
{
"is_primary": true,
"skill_name": "C++"
},
{
"is_primary": true,
"skill_name": "x86"
},
{
"is_primary": true,
"skill_name": "ARM"
},
{
"is_primary": true,
"skill_name": "SSE"
},
{
"is_primary": true,
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},
{
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},
{
"is_primary": true,
"skill_name": "Git"
},
{
"is_primary": true,
"skill_name": "AV1"
},
{
"is_primary": true,
"skill_name": "H.265"
},
{
"is_primary": false,
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},
{
"is_primary": false,
"skill_name": "MPEG-2"
},
{
"is_primary": false,
"skill_name": "VP9"
},
{
"is_primary": false,
"skill_name": "OpenCL"
},
{
"is_primary": false,
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},
{
"is_primary": false,
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},
{
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}
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"role_aliases": [
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{
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{
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"source_marker": {
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"rejected": false,
"rejection_reason": null,
"run_id": "6b26a82e-0ce2-4363-a23d-a481b536cd12",
"stage3_signals": {
"alias_found": true,
"alias_match_roles": [
{
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"role_id": 8,
"score": 0.5882,
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},
{
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{
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{
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},
{
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}
],
"kra_match_roles": [
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},
{
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},
{
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},
{
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},
{
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],
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},
{
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{
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]
},
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"stage5_updates": {
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"new_kra_attached": {
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"r_and_r_preview": "The prospective candidate will be part of the Advanced Video and Research Team that designs and delivers video codec solutions for industry leaders in video technology.\n\nThe key responsibilities of th",
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"role_slug": "video-codec-engineer",
"status": "pending"
},
"new_skills_attached": [
{
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},
{
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},
{
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},
{
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},
{
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"role_display_name": "Video Codec Engineer",
"role_slug": "video-codec-engineer",
"skill_name": "AV1",
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},
{
"is_primary": true,
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"role_display_name": "Video Codec Engineer",
"role_slug": "video-codec-engineer",
"skill_name": "H.265",
"status": "pending"
},
{
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"role_display_name": "Video Codec Engineer",
"role_slug": "video-codec-engineer",
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"status": "pending"
},
{
"is_primary": false,
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"role_display_name": "Video Codec Engineer",
"role_slug": "video-codec-engineer",
"skill_name": "MPEG-2",
"status": "pending"
},
{
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"queue_id": 1552,
"role_display_name": "Video Codec Engineer",
"role_slug": "video-codec-engineer",
"skill_name": "VP9",
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},
{
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"queue_id": 1553,
"role_display_name": "Video Codec Engineer",
"role_slug": "video-codec-engineer",
"skill_name": "OpenCL",
"status": "pending"
},
{
"is_primary": false,
"queue_id": 1554,
"role_display_name": "Video Codec Engineer",
"role_slug": "video-codec-engineer",
"skill_name": "CUDA",
"status": "pending"
},
{
"is_primary": false,
"queue_id": 1555,
"role_display_name": "Video Codec Engineer",
"role_slug": "video-codec-engineer",
"skill_name": "Neural Networks",
"status": "pending"
}
],
"queue_entry_id": null,
"v3_pipeline_triggered": false,
"v3_role_slug": null,
"v3_run_id": null
}
}
API 2 — extract-details
{}
API 3 — final-role-output
{}
LLM Calls
Every model call made for this run, in pipeline order. Click a card to see the model's response.
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